[ 2019-05-06 14:55:01,625 ] [ DEBUG ] [ main:133 ]  Namespace(batch=None, data_type='FP16', disable_fusing=False, disable_gfusing=False, disable_nhwc_to_nchw=False, disable_resnet_optimization=False, enable_concat_optimization=False, extensions='/opt/intel/openvino_2019.1.133/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='/home/.../Desktop/mytiny.pb', input_model_is_text=False, input_shape='[1,416,416,3]', keep_shape_ops=False, log_level='DEBUG', mean_values=(), model_name=None, move_to_preprocess=False, output=None, output_dir='/opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/.', reverse_input_channels=False, saved_model_dir=None, saved_model_tags=None, scale=None, scale_values=(), silent=False, tensorboard_logdir=None, tensorflow_custom_layer_libraries=None, tensorflow_custom_operations_config_update=None, tensorflow_object_detection_api_pipeline_config=None, tensorflow_operation_patterns=None, tensorflow_subgraph_patterns=None, tensorflow_use_custom_operations_config='/opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/./extensions/front/tf/my_yolo_v3_tiny.json', version=False)
[ 2019-05-06 14:55:01,625 ] [ DEBUG ] [ main:134 ]  Model Optimizer started
[ 2019-05-06 14:55:01,625 ] [ DEBUG ] [ main:148 ]  Output model name would be mytiny{.xml, .bin}
[ 2019-05-06 14:55:02,164 ] [ DEBUG ] [ main:234 ]  Placeholder shapes : [  1 416 416   3]
[ INFO ]  Importing extensions from: /opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/mo
[ INFO ]  New subclass: <class 'mo.front.tf.extractors.elu.Elu'>
[ INFO ]  Registered a new subclass with key: Elu
[ INFO ]  New subclass: <class 'mo.front.tf.extractors.sigmoid.Sigmoid'>
[ INFO ]  Registered a new subclass with key: Sigmoid
[ INFO ]  New subclass: <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'>
[ INFO ]  Registered a new subclass with key: StridedSlice
[ INFO ]  New subclass: <class 'mo.front.tf.extractors.tanh.Tanh'>
[ INFO ]  Registered a new subclass with key: Tanh
[ INFO ]  New subclass: <class 'mo.front.common.replacement.FrontReplacementSubgraph'>
[ INFO ]  New subclass: <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'>
[ INFO ]  New subclass: <class 'mo.front.common.replacement.FrontReplacementOp'>
[ INFO ]  Registered a new subclass with key: UnknownOp
[ INFO ]  New subclass: <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'>
[ INFO ]  New subclass: <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'>
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.elu.Elu'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.sigmoid.Sigmoid'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.tanh.Tanh'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.CreateConstNodes.CreateConstNodesReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.LayoutChangeForConstantShapePaths.LayoutChangeForConstantShapePaths'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.elu.Elu'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.sigmoid.Sigmoid'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.tanh.Tanh'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.memory.Memory'>
[ INFO ]  Registered a new subclass with key: Memory
[ INFO ]  New subclass: <class 'mo.ops.slice.Slice'>
[ INFO ]  Registered a new subclass with key: Slice
[ INFO ]  New subclass: <class 'mo.ops.input.Input'>
[ INFO ]  Registered a new subclass with key: Input
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.pooling.Pooling'>
[ INFO ]  Registered a new subclass with key: Pooling
[ INFO ]  New subclass: <class 'mo.ops.deconvolution.Deconvolution'>
[ INFO ]  Registered a new subclass with key: Deconvolution
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.tile.Tile'>
[ INFO ]  Registered a new subclass with key: Tile
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.softmax.Softmax'>
[ INFO ]  Registered a new subclass with key: SoftMax
[ INFO ]  New subclass: <class 'mo.ops.flatten.Flatten'>
[ INFO ]  Registered a new subclass with key: Flatten
[ INFO ]  New subclass: <class 'mo.ops.crop.Crop'>
[ INFO ]  Registered a new subclass with key: Crop
[ INFO ]  New subclass: <class 'mo.ops.scale_shift.ScaleShiftOp'>
[ INFO ]  Registered a new subclass with key: ScaleShift
[ INFO ]  New subclass: <class 'mo.ops.eltwise.Eltwise'>
[ INFO ]  Registered a new subclass with key: Eltwise
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.activation.Activation'>
[ INFO ]  Registered a new subclass with key: Activation
[ INFO ]  New subclass: <class 'mo.ops.reshape.Reshape'>
[ INFO ]  Registered a new subclass with key: Reshape
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.const.Const'>
[ INFO ]  Registered a new subclass with key: Const
[ INFO ]  New subclass: <class 'mo.ops.output.Output'>
[ INFO ]  Registered a new subclass with key: OpOutput
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.split.Split'>
[ INFO ]  Registered a new subclass with key: Split
[ INFO ]  New subclass: <class 'mo.ops.convolution.Convolution'>
[ INFO ]  Registered a new subclass with key: Convolution
[ INFO ]  New subclass: <class 'mo.ops.strided_slice.StridedSlice'>
[ INFO ]  Registered a new subclass with key: StridedSlice
[ INFO ]  New subclass: <class 'mo.ops.pad.Pad'>
[ INFO ]  Registered a new subclass with key: Pad
[ INFO ]  New subclass: <class 'mo.ops.eltwise_n.EltwiseN'>
[ INFO ]  Registered a new subclass with key: EltwiseN
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.concat.Concat'>
[ INFO ]  Registered a new subclass with key: Concat
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.clamp.Clamp'>
[ INFO ]  Registered a new subclass with key: Clamp
[ INFO ]  New subclass: <class 'extensions.ops.gather.Gather'>
[ INFO ]  Registered a new subclass with key: Gather
[ INFO ]  New subclass: <class 'mo.ops.shape.Shape'>
[ INFO ]  Registered a new subclass with key: Shape
[ INFO ]  New subclass: <class 'mo.ops.inner_product.InnerProduct'>
[ INFO ]  Registered a new subclass with key: FullyConnected
[ INFO ]  New subclass: <class 'mo.ops.relu.ReLU'>
[ INFO ]  Registered a new subclass with key: ReLU
[ INFO ]  New subclass: <class 'mo.ops.flatten_onnx.FlattenONNX'>
[ INFO ]  Registered a new subclass with key: FlattenONNX
[ WARNING ]  Skipped <class 'extensions.middle.ConcatOptimization.ConcatOptimization'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'>
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ INFO ]  Importing extensions from: /opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/extensions
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSlice'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.reorgyolo.ReorgYoloOp'>
[ INFO ]  Registered a new subclass with key: ReorgYolo
[ INFO ]  New subclass: <class 'extensions.ops.GatherNd.GatherNd'>
[ INFO ]  Registered a new subclass with key: GatherNd
[ INFO ]  New subclass: <class 'extensions.ops.splice.Splice'>
[ INFO ]  Registered a new subclass with key: Splice
[ INFO ]  New subclass: <class 'extensions.ops.tensor_iterator.TensorIterator'>
[ INFO ]  Registered a new subclass with key: TensorIterator
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.stop_gradient.StopGradientOp'>
[ INFO ]  Registered a new subclass with key: StopGradient
[ INFO ]  New subclass: <class 'extensions.ops.select.Select'>
[ INFO ]  Registered a new subclass with key: Select
[ INFO ]  New subclass: <class 'extensions.ops.Exit.Exit'>
[ INFO ]  Registered a new subclass with key: Exit
[ INFO ]  New subclass: <class 'extensions.ops.resample.ResampleOp'>
[ INFO ]  Registered a new subclass with key: Resample
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.roifeatureextractor_onnx.ExperimentalDetectronROIFeatureExtractor'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronROIFeatureExtractor
[ INFO ]  New subclass: <class 'extensions.ops.instance_normalization.InstanceNormalization'>
[ INFO ]  Registered a new subclass with key: InstanceNormalization
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.quantize.QuantizeOp'>
[ INFO ]  Registered a new subclass with key: Quantize
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.data_augmentation.DataAugmentationOp'>
[ INFO ]  Registered a new subclass with key: DataAugmentation
[ INFO ]  New subclass: <class 'extensions.ops.RNN.RNN'>
[ INFO ]  Registered a new subclass with key: RNN
[ INFO ]  New subclass: <class 'extensions.ops.reverse_sequence.ReverseSequence'>
[ INFO ]  Registered a new subclass with key: ReverseSequence
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.argmax.ArgMaxOp'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.ops.prelu.PreluOp'>
[ INFO ]  Registered a new subclass with key: PReLU
[ INFO ]  New subclass: <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'>
[ INFO ]  Registered a new subclass with key: PredictionHeatmap
[ INFO ]  New subclass: <class 'extensions.ops.TensorArray.TensorArray'>
[ INFO ]  Registered a new subclass with key: TensorArrayV3
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'>
[ INFO ]  Registered a new subclass with key: TensorIteratorBackEdge
[ INFO ]  New subclass: <class 'extensions.ops.priorgridgenerator_onnx.ExperimentalDetectronPriorGridGenerator'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronPriorGridGenerator
[ INFO ]  New subclass: <class 'extensions.ops.range.Range'>
[ INFO ]  Registered a new subclass with key: Range
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'>
[ INFO ]  Registered a new subclass with key: TensorIteratorInput
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.rank.Rank'>
[ INFO ]  Registered a new subclass with key: Rank
[ INFO ]  New subclass: <class 'extensions.ops.BlockLSTM.BlockLSTM'>
[ INFO ]  Registered a new subclass with key: BlockLSTM
[ WARNING ]  Skipped <class 'mo.ops.reduce.Reduce'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayRead.TensorArrayReader'>
[ INFO ]  Registered a new subclass with key: TensorArrayReadV3
[ INFO ]  New subclass: <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'>
[ INFO ]  Registered a new subclass with key: PriorBoxClustered
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.correlation.CorrelationOp'>
[ INFO ]  Registered a new subclass with key: Correlation
[ INFO ]  New subclass: <class 'extensions.ops.Cast.Cast'>
[ INFO ]  Registered a new subclass with key: Cast
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.priorbox.PriorBoxOp'>
[ INFO ]  Registered a new subclass with key: PriorBox
[ INFO ]  New subclass: <class 'extensions.ops.proposal_onnx.ExperimentalDetectronGenerateProposalsSingleImage'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronGenerateProposalsSingleImage
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'>
[ INFO ]  Registered a new subclass with key: TensorIteratorCondition
[ INFO ]  New subclass: <class 'extensions.ops.power_file.PowerFileOp'>
[ INFO ]  Registered a new subclass with key: PowerFile
[ INFO ]  New subclass: <class 'extensions.ops.interp.InterpOp'>
[ INFO ]  Registered a new subclass with key: Interp
[ INFO ]  New subclass: <class 'extensions.ops.constant_fill.ConstantFill'>
[ INFO ]  Registered a new subclass with key: ConstantFill
[ INFO ]  New subclass: <class 'extensions.ops.pack.PackOp'>
[ INFO ]  Registered a new subclass with key: Pack
[ INFO ]  New subclass: <class 'extensions.ops.simplernms.SimplerNMSOp'>
[ INFO ]  Registered a new subclass with key: SimplerNMS
[ INFO ]  New subclass: <class 'extensions.ops.detectionoutput_onnx.ExperimentalDetectronDetectionOutput'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronDetectionOutput
[ INFO ]  New subclass: <class 'extensions.ops.merge.Merge'>
[ INFO ]  Registered a new subclass with key: Merge
[ INFO ]  New subclass: <class 'extensions.ops.shufflechannel.ShuffleChannelOp'>
[ INFO ]  Registered a new subclass with key: ShuffleChannel
[ INFO ]  New subclass: <class 'extensions.ops.Reverse.Reverse'>
[ INFO ]  Registered a new subclass with key: Reverse
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.TensorArraySize.TensorArraySize'>
[ INFO ]  Registered a new subclass with key: TensorArraySizeV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayGather.TensorArrayGather'>
[ INFO ]  Registered a new subclass with key: TensorArrayGatherV3
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.identity.IdentityOp'>
[ INFO ]  Registered a new subclass with key: Identity
[ INFO ]  New subclass: <class 'extensions.ops.splitv.SplitV'>
[ INFO ]  Registered a new subclass with key: SplitV
[ INFO ]  New subclass: <class 'extensions.ops.switch.Switch'>
[ INFO ]  Registered a new subclass with key: Switch
[ INFO ]  New subclass: <class 'extensions.ops.GRUCell.GRUCell'>
[ INFO ]  Registered a new subclass with key: GRUCell
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.DetectionOutput.DetectionOutput'>
[ INFO ]  Registered a new subclass with key: DetectionOutput
[ INFO ]  New subclass: <class 'extensions.ops.assert_op.Assert'>
[ INFO ]  Registered a new subclass with key: Assert
[ INFO ]  New subclass: <class 'extensions.ops.psroipooling.PSROIPoolingOp'>
[ INFO ]  Registered a new subclass with key: PSROIPooling
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.Enter.Enter'>
[ INFO ]  Registered a new subclass with key: Enter
[ INFO ]  New subclass: <class 'extensions.ops.NextIteration.NextIteration'>
[ INFO ]  Registered a new subclass with key: NextIteration
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'>
[ INFO ]  Registered a new subclass with key: TensorArrayWriteV3
[ INFO ]  New subclass: <class 'extensions.ops.axpy.AxpyOp'>
[ INFO ]  Registered a new subclass with key: Axpy
[ INFO ]  New subclass: <class 'extensions.ops.GRU.GRU'>
[ INFO ]  Registered a new subclass with key: GRU
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.normalize.NormalizeOp'>
[ INFO ]  Registered a new subclass with key: Normalize
[ INFO ]  New subclass: <class 'extensions.ops.LSTM.LSTM'>
[ INFO ]  Registered a new subclass with key: LSTM
[ INFO ]  New subclass: <class 'extensions.ops.bn.BNOp'>
[ INFO ]  Registered a new subclass with key: BN
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.binarization.Binarization'>
[ INFO ]  Registered a new subclass with key: Binarization
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.gather.Gather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.proposal.ProposalOp'>
[ INFO ]  Registered a new subclass with key: Proposal
[ INFO ]  New subclass: <class 'extensions.ops.lstm_cell.LSTMCell'>
[ INFO ]  Registered a new subclass with key: LSTMCell
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'>
[ INFO ]  Registered a new subclass with key: TensorArrayScatterV3
[ INFO ]  New subclass: <class 'extensions.ops.lstm_sequence.LSTMSequence'>
[ INFO ]  Registered a new subclass with key: LSTMSequence
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten.Flatten'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.RNNCell.RNNCell'>
[ INFO ]  Registered a new subclass with key: RNNCell
[ INFO ]  New subclass: <class 'extensions.ops.accum.AccumOp'>
[ INFO ]  Registered a new subclass with key: Accum
[ INFO ]  New subclass: <class 'extensions.ops.grn.GRNOp'>
[ INFO ]  Registered a new subclass with key: GRN
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'>
[ INFO ]  Registered a new subclass with key: TensorIteratorOutput
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'>
[ INFO ]  Registered a new subclass with key: CTCGreedyDecoder
[ INFO ]  New subclass: <class 'extensions.ops.topkrois_onnx.ExperimentalDetectronTopKROIs'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronTopKROIs
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.exp.ExpOp'>
[ INFO ]  Registered a new subclass with key: Exp
[ INFO ]  New subclass: <class 'extensions.ops.depth_to_space.DepthToSpaceOp'>
[ INFO ]  Registered a new subclass with key: DepthToSpace
[ INFO ]  New subclass: <class 'extensions.ops.regionyolo.RegionYoloOp'>
[ INFO ]  Registered a new subclass with key: RegionYolo
[ INFO ]  New subclass: <class 'extensions.ops.mvn.MVN'>
[ INFO ]  Registered a new subclass with key: MVN
[ INFO ]  New subclass: <class 'extensions.ops.spatial_transformer.SpatialTransformOp'>
[ INFO ]  Registered a new subclass with key: SpatialTransformer
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.SquaredDifference.SquaredDifference'>
[ INFO ]  Registered a new subclass with key: SquaredDifference
[ INFO ]  New subclass: <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvToBinaryConv.ConvToBinaryConv'>
[ WARNING ]  Skipped <class 'extensions.middle.SwapAxesMiddleReplacer.SwapAxesMiddleReplacer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.ConcatOptimization.ConcatOptimization'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'>
[ INFO ]  New subclass: <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ INFO ]  New subclass: <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.Cast.CastToFloatMark'>
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorLSTMToLSTMSequence.TensorIteratorLSTM'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.CheckForCycle.CheckForCycle'>
[ INFO ]  New subclass: <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'>
[ INFO ]  New subclass: <class 'extensions.middle.DeleteNotExecutable.DeleteNotExecutable'>
[ INFO ]  New subclass: <class 'extensions.middle.MXNetRNNSequenceNormalize.MXNetRNNSequenceNormalize'>
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.GRURNNSequenceToTensorIterator.GRUAndRNNToTensorIterator'>
[ WARNING ]  Skipped <class 'extensions.middle.AddQuantizeFuse.AddQuantizeFuse'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'>
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.ChangePlaceholderTypes.ChangePlaceholderTypes'>
[ INFO ]  New subclass: <class 'extensions.middle.L2NormToNorm.L2NormToNorm'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveIdentity.RemoveIdentity'>
[ INFO ]  New subclass: <class 'extensions.middle.pass_separator.MiddleStart'>
[ INFO ]  New subclass: <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessSplitEraser.UselessSplitEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.ReluQuantizeFuse.ReluQuantizeFuse'>
[ INFO ]  New subclass: <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'>
[ INFO ]  Registered a new subclass with key: Minimum
[ INFO ]  New subclass: <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'>
[ INFO ]  New subclass: <class 'extensions.middle.pass_separator.MiddleFinish'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorOutput.SimpleOutputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseChecker.EltwiseChecker'>
[ INFO ]  New subclass: <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveIdentity.RemoveNodesWithZeroPhase'>
[ INFO ]  New subclass: <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveRedundantReshapeAfterCropAndResize.RemoveRedundantReshapeAfterCropAndResize'>
[ INFO ]  New subclass: <class 'extensions.middle.ScaleInput.ScaleInput'>
[ INFO ]  New subclass: <class 'extensions.middle.NasNet.NasNet'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveIdentity.RemoveDropout'>
[ INFO ]  New subclass: <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.DeleteControlFlowEdges.DeleteControlFlowEdges'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.CustomSubgraphCall.CustomSubgraphCall'>
[ WARNING ]  Skipped <class 'extensions.middle.MulQuantizeFuse.MulQuantizeFuse'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.MXNetSplitMultiLayers.MXNetSplitLayersToRNNSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'>
[ INFO ]  New subclass: <class 'extensions.middle.DepthToSpace.DepthToSpace'>
[ INFO ]  New subclass: <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessMerge.UselessMergeEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.MeanToAvgPool.MeanToAvgPool'>
[ INFO ]  New subclass: <class 'extensions.middle.ReverseV2ToReverseSequence.ReverseToReverseSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIterator_utils.DeleteSelect'>
[ INFO ]  New subclass: <class 'extensions.middle.InputCut.MiddleInputCut'>
[ INFO ]  New subclass: <class 'extensions.middle.GemmResolver.GemmResolver'>
[ INFO ]  New subclass: <class 'extensions.middle.GemmToFullyConnected.GemmToFullyConnected'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'>
[ INFO ]  New subclass: <class 'extensions.middle.Reduce.ReduceReplacer'>
[ INFO ]  Registered a new subclass with key: Reduce
[ INFO ]  New subclass: <class 'extensions.middle.PartialInfer.PartialInfer'>
[ INFO ]  New subclass: <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'>
[ INFO ]  New subclass: <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.NormalizePad.NormalizePad'>
[ INFO ]  New subclass: <class 'extensions.middle.GatherNdNormalizer.GatherNdNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvertMultiInputConv.ConvertMultiInputConv'>
[ INFO ]  New subclass: <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'>
[ INFO ]  New subclass: <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ INFO ]  Registered a new subclass with key: Slice
[ INFO ]  New subclass: <class 'extensions.middle.DilatedConvolution.DilatedConvolutionConverter'>
[ INFO ]  New subclass: <class 'extensions.middle.ShuffleChannel.ShuffleChannel'>
[ INFO ]  New subclass: <class 'extensions.front.tf.shape_ext.ShapeExtractor'>
[ INFO ]  Registered a new subclass with key: Shape
[ INFO ]  New subclass: <class 'extensions.front.tf.slice_ext.SliceExtractor'>
[ INFO ]  Registered a new subclass with key: Slice
[ INFO ]  New subclass: <class 'extensions.front.tf.TensorArrayExtractors.TensorArrayExtractor'>
[ INFO ]  Registered a new subclass with key: TensorArrayV3
[ INFO ]  New subclass: <class 'extensions.front.tf.reverse_sequence.ReverseSequenceFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ReverseSequence
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.resize_nearest_neighbor.ResizeNearestNeighborFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ResizeNearestNeighbor
[ INFO ]  New subclass: <class 'extensions.front.tf.conv_ext.DepthwiseConv2dNativeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: DepthwiseConv2dNative
[ INFO ]  New subclass: <class 'extensions.front.tf.deconv_ext.Conv2DBackpropInputFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Conv2DBackpropInput
[ INFO ]  New subclass: <class 'extensions.front.tf.pad_ext.PadV2FrontExtractor'>
[ INFO ]  Registered a new subclass with key: PadV2
[ INFO ]  New subclass: <class 'extensions.front.tf.TensorArrayGatherV3.TensorArrayGatherV3Exteractor'>
[ INFO ]  Registered a new subclass with key: TensorArrayGatherV3
[ INFO ]  New subclass: <class 'extensions.front.tf.concat_ext.ConcatFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Concat
[ INFO ]  New subclass: <class 'extensions.front.tf.variable_ext.VariableV2Extractor'>
[ INFO ]  Registered a new subclass with key: VariableV2
[ INFO ]  New subclass: <class 'extensions.front.tf.addn_ext.AddNExtractor'>
[ INFO ]  Registered a new subclass with key: AddN
[ INFO ]  New subclass: <class 'extensions.front.tf.gather_ext.GatherFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Gather
[ INFO ]  New subclass: <class 'extensions.front.tf.split_ext.SplitVExtractor'>
[ INFO ]  Registered a new subclass with key: SplitV
[ INFO ]  New subclass: <class 'extensions.front.tf.extract_image_patches.ExtractImagePatchesExtractor'>
[ INFO ]  Registered a new subclass with key: ExtractImagePatches
[ INFO ]  New subclass: <class 'extensions.front.tf.Cast_ext.CastFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Cast
[ INFO ]  New subclass: <class 'extensions.front.tf.square_ext.SquareExtractor'>
[ INFO ]  Registered a new subclass with key: Square
[ INFO ]  New subclass: <class 'extensions.front.tf.conv_ext.Conv3DFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Conv3D
[ INFO ]  New subclass: <class 'extensions.front.tf.argmax_ext.ArgMaxFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.tanh.Tanh'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.pooling_ext.MaxPoolFrontExtractor'>
[ INFO ]  Registered a new subclass with key: MaxPool
[ INFO ]  New subclass: <class 'extensions.front.tf.CTCGreedyDecoder_ext.CTCCGreedyDecoderFrontExtractor'>
[ INFO ]  Registered a new subclass with key: CTCGreedyDecoder
[ INFO ]  New subclass: <class 'extensions.front.tf.pooling_ext.MaxPool3DFrontExtractor'>
[ INFO ]  Registered a new subclass with key: MaxPool3D
[ INFO ]  New subclass: <class 'extensions.front.tf.fifo_queue_v2_ext.FIFOQueueV2Extractor'>
[ INFO ]  Registered a new subclass with key: FIFOQueueV2
[ INFO ]  New subclass: <class 'extensions.front.tf.reverse_v2.ReverseV2FrontExtractor'>
[ INFO ]  Registered a new subclass with key: ReverseV2
[ INFO ]  New subclass: <class 'extensions.front.tf.deconv_ext.Conv3DBackpropInputV2InputFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Conv3DBackpropInputV2
[ INFO ]  New subclass: <class 'extensions.front.tf.gather_ext.ResourceGatherFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ResourceGather
[ INFO ]  New subclass: <class 'extensions.front.tf.depth_to_space.DepthToSpaceFrontExtractor'>
[ INFO ]  Registered a new subclass with key: DepthToSpace
[ INFO ]  New subclass: <class 'extensions.front.tf.rank_ext.RankFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Rank
[ INFO ]  New subclass: <class 'extensions.front.tf.sum_ext.SumFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Sum
[ INFO ]  New subclass: <class 'extensions.front.tf.exp_ext.ExpExtractor'>
[ INFO ]  Registered a new subclass with key: Exp
[ INFO ]  New subclass: <class 'extensions.front.tf.pooling_ext.AvgPool3DFrontExtractor'>
[ INFO ]  Registered a new subclass with key: AvgPool3D
[ INFO ]  New subclass: <class 'extensions.front.tf.max_ext.MaxFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Max
[ INFO ]  New subclass: <class 'extensions.front.tf.conv_ext.Conv2DFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Conv2D
[ INFO ]  New subclass: <class 'extensions.front.tf.crop_and_resize_ext.CropAndResizeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: CropAndResize
[ INFO ]  New subclass: <class 'extensions.front.tf.pad_ext.PadFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Pad
[ INFO ]  New subclass: <class 'extensions.front.tf.variable_ext.VariableExtractor'>
[ INFO ]  Registered a new subclass with key: Variable
[ INFO ]  New subclass: <class 'extensions.front.tf.sqrt_ext.SqrtExtractor'>
[ INFO ]  Registered a new subclass with key: Sqrt
[ INFO ]  New subclass: <class 'extensions.front.tf.stop_gradient_ext.StopGradientExtractor'>
[ INFO ]  Registered a new subclass with key: StopGradient
[ INFO ]  New subclass: <class 'extensions.front.tf.BlockLSTM_ext.BlockLSTMExtractor'>
[ INFO ]  Registered a new subclass with key: BlockLSTM
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.sigmoid.Sigmoid'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.resize_bilinear.ResizeBilinearFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ResizeBilinear
[ INFO ]  New subclass: <class 'extensions.front.tf.tile_ext.TileExtractor'>
[ INFO ]  Registered a new subclass with key: Tile
[ INFO ]  New subclass: <class 'extensions.front.tf.pad_ext.MirrorPadFrontExtractor'>
[ INFO ]  Registered a new subclass with key: MirrorPad
[ INFO ]  New subclass: <class 'extensions.front.tf.gather_ext.GatherV2FrontExtractor'>
[ INFO ]  Registered a new subclass with key: GatherV2
[ INFO ]  New subclass: <class 'extensions.front.tf.next_iteration_ext.NextIterationExtractor'>
[ INFO ]  Registered a new subclass with key: NextIteration
[ INFO ]  New subclass: <class 'extensions.front.tf.pooling_ext.AvgPoolFrontExtractor'>
[ INFO ]  Registered a new subclass with key: AvgPool
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.elu.Elu'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.softmax_ext.SoftmaxFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Softmax
[ INFO ]  New subclass: <class 'extensions.front.tf.ArgMaxReshape.ArgMaxReshape'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.front.tf.assign_elimination.AssertElimination'>
[ INFO ]  Registered a new subclass with key: Assert
[ INFO ]  New subclass: <class 'extensions.front.squared_difference.SquaredDifference'>
[ INFO ]  Registered a new subclass with key: SquaredDifference
[ INFO ]  New subclass: <class 'extensions.front.sub.Sub'>
[ INFO ]  Registered a new subclass with key: Sub
[ INFO ]  New subclass: <class 'extensions.front.tf.ZerosLike.ZerosLikeReplacer'>
[ INFO ]  Registered a new subclass with key: ZerosLike
[ INFO ]  New subclass: <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ INFO ]  Registered a new subclass with key: CropAndResize
[ INFO ]  New subclass: <class 'extensions.front.tf.assign_elimination.AssignElimination'>
[ INFO ]  Registered a new subclass with key: Assign
[ INFO ]  New subclass: <class 'extensions.front.tf.BlockLSTM.BlockLSTM'>
[ INFO ]  Registered a new subclass with key: BlockLSTM
[ INFO ]  New subclass: <class 'extensions.front.Pack.Pack'>
[ INFO ]  Registered a new subclass with key: Pack
[ INFO ]  New subclass: <class 'extensions.front.div.Div'>
[ INFO ]  Registered a new subclass with key: Div
[ INFO ]  New subclass: <class 'extensions.front.tf.fake_const.FakeConstToConst'>
[ INFO ]  Registered a new subclass with key: FakeConst
[ INFO ]  New subclass: <class 'extensions.front.tf.assign_elimination.AssignAddElimination'>
[ INFO ]  Registered a new subclass with key: AssignAdd
[ INFO ]  New subclass: <class 'extensions.front.tf.Unpack.Unpack'>
[ INFO ]  Registered a new subclass with key: Unpack
[ INFO ]  New subclass: <class 'extensions.front.tf.assign_elimination.AssignSubElimination'>
[ INFO ]  Registered a new subclass with key: AssignSub
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.tensorflow_patterns.TensorflowSubgraphPatterns'>
[ INFO ]  New subclass: <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'>
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.tensorflow_use_custom_operations_config.TensorflowUseCustomOperationsConfig'>
[ INFO ]  New subclass: <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'>
[ INFO ]  New subclass: <class 'extensions.front.tf.tensorflow_patterns.TensorflowOperationPatterns'>
[ INFO ]  New subclass: <class 'extensions.front.tf.prelu.PReLU'>
[ INFO ]  New subclass: <class 'extensions.front.tf.mvn.MVN'>
[ INFO ]  New subclass: <class 'extensions.front.tf.prelu.PReLUWithAbs'>
[ INFO ]  New subclass: <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'>
[ INFO ]  New subclass: <class 'extensions.front.tf.concat.Concat'>
[ INFO ]  New subclass: <class 'extensions.front.tf.CTCGreedyDecoder.CTCGreedyDecoderReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.fifo_replacer.FIFOQueue'>
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'>
[ INFO ]  New subclass: <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'>
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ INFO ]  New subclass: <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'>
[ INFO ]  New subclass: <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ INFO ]  New subclass: <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ConvFlatten.ConvFlattenReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'>
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.YOLO.YoloRegionAddon'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'>
[ INFO ]  New subclass: <class 'extensions.front.tf.YOLO.YoloV3RegionAddon'>
[ INFO ]  New subclass: <class 'extensions.back.ReshapeMutation.ReshapeMutation'>
[ WARNING ]  Skipped <class 'extensions.back.kaldi_remove_memory_output.KaldiRemoveMemoryOutputBackReplacementPattern'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.back.RNNSequenceTypeRename.RNNSequence'>
[ WARNING ]  Skipped <class 'extensions.middle.LayoutChangeForConstantShapePaths.LayoutChangeForConstantShapePaths'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.back.EltwiseBroadcast.EltwiseBroadcast'>
[ INFO ]  New subclass: <class 'extensions.back.PermuteForReshape.PermuteForReshape'>
[ INFO ]  New subclass: <class 'extensions.back.TileReshaper.TileReshaper'>
[ INFO ]  New subclass: <class 'extensions.back.PackBinaryWeights.PackBinaryWeights'>
[ WARNING ]  Skipped <class 'extensions.back.remove_last_softmax_pattern.RemoveLastSoftMaxPattern'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.back.ConvolutionReshaper.ConvolutionReshaper'>
[ INFO ]  New subclass: <class 'extensions.back.EnableConstantStridedSlice.EnableConstantStridedSlice'>
[ WARNING ]  Skipped <class 'extensions.back.ShufflenetReLUReorder.ShufflenetReLUReorder'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.back.insert_compatibility_l2normalization.CompatibilityL2NormalizationPattern'>
[ INFO ]  New subclass: <class 'extensions.back.DumpFakeQuantStat.DumpFakeQuantStat'>
[ INFO ]  New subclass: <class 'extensions.back.ReshapeMutation.DisableReshapeMutationInTensorIterator'>
[ WARNING ]  Skipped <class 'extensions.back.disable_unsupported_ND_operations.DisableUnsupportedNDOperations'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.CreateConstNodes.CreateConstNodesReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.shape_ext.ShapeExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.slice_ext.SliceExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.TensorArrayExtractors.TensorArrayExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.reverse_sequence.ReverseSequenceFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.resize_nearest_neighbor.ResizeNearestNeighborFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.conv_ext.DepthwiseConv2dNativeFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.deconv_ext.Conv2DBackpropInputFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.pad_ext.PadV2FrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.TensorArrayGatherV3.TensorArrayGatherV3Exteractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.concat_ext.ConcatFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.variable_ext.VariableV2Extractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.addn_ext.AddNExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.gather_ext.GatherFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.split_ext.SplitVExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.extract_image_patches.ExtractImagePatchesExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.Cast_ext.CastFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.square_ext.SquareExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.conv_ext.Conv3DFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.argmax_ext.ArgMaxFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.tanh.Tanh'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.pooling_ext.MaxPoolFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.CTCGreedyDecoder_ext.CTCCGreedyDecoderFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.pooling_ext.MaxPool3DFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.fifo_queue_v2_ext.FIFOQueueV2Extractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.reverse_v2.ReverseV2FrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.deconv_ext.Conv3DBackpropInputV2InputFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.gather_ext.ResourceGatherFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.depth_to_space.DepthToSpaceFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.rank_ext.RankFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.sum_ext.SumFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.exp_ext.ExpExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.pooling_ext.AvgPool3DFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.max_ext.MaxFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.conv_ext.Conv2DFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.crop_and_resize_ext.CropAndResizeFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.pad_ext.PadFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.variable_ext.VariableExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.sqrt_ext.SqrtExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.stop_gradient_ext.StopGradientExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.BlockLSTM_ext.BlockLSTMExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.sigmoid.Sigmoid'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.resize_bilinear.ResizeBilinearFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.tile_ext.TileExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.pad_ext.MirrorPadFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.gather_ext.GatherV2FrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.next_iteration_ext.NextIterationExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.pooling_ext.AvgPoolFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.elu.Elu'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.softmax_ext.SoftmaxFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ArgMaxReshape.ArgMaxReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.assign_elimination.AssertElimination'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.squared_difference.SquaredDifference'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.eltwise_n.EltwiseNReplacement'>
[ INFO ]  Registered a new subclass with key: EltwiseN
[ WARNING ]  Skipped <class 'extensions.front.sub.Sub'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ZerosLike.ZerosLikeReplacer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.assign_elimination.AssignElimination'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.LRNReplacer.LRNReplacer'>
[ INFO ]  Registered a new subclass with key: LRN
[ INFO ]  New subclass: <class 'extensions.front.instance_normalization.InstanceNormalization'>
[ INFO ]  Registered a new subclass with key: InstanceNormalization
[ WARNING ]  Skipped <class 'extensions.front.tf.BlockLSTM.BlockLSTM'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.Pack.Pack'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.div.Div'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.fake_const.FakeConstToConst'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.assign_elimination.AssignAddElimination'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.Unpack.Unpack'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.reciprocal.ReciprocalReplacer'>
[ INFO ]  Registered a new subclass with key: Reciprocal
[ INFO ]  New subclass: <class 'extensions.front.image_scaler.ImageScaler'>
[ INFO ]  Registered a new subclass with key: ImageScaler
[ WARNING ]  Skipped <class 'extensions.front.tf.assign_elimination.AssignSubElimination'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.pass_separator.FrontStart'>
[ INFO ]  New subclass: <class 'extensions.front.override_batch.OverrideBatch'>
[ INFO ]  New subclass: <class 'extensions.front.create_tensor_nodes.CreateTensorNodes'>
[ WARNING ]  Skipped <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.user_data_repack.UserDataRepack'>
[ INFO ]  New subclass: <class 'extensions.front.input_cut.InputCut'>
[ WARNING ]  Skipped <class 'extensions.front.tf.tensorflow_patterns.TensorflowSubgraphPatterns'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.pass_separator.FrontFinish'>
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.output_cut.OutputCut'>
[ WARNING ]  Skipped <class 'extensions.front.tf.tensorflow_use_custom_operations_config.TensorflowUseCustomOperationsConfig'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.tensorflow_patterns.TensorflowOperationPatterns'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.prelu.PReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.mvn.MVN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.prelu.PReLUWithAbs'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.CTCGreedyDecoder.CTCGreedyDecoderReplacement'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'>
[ WARNING ]  Skipped <class 'extensions.front.tf.fifo_replacer.FIFOQueue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.restore_ports.RestorePorts'>
[ WARNING ]  Skipped <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.no_op_eraser.NoOpEraser'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ConvFlatten.ConvFlattenReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.YOLO.YoloRegionAddon'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.YOLO.YoloV3RegionAddon'> registration because it was already registered or it was disabled. 
[ 2019-05-06 14:55:03,981 ] [ DEBUG ] [ class_registration:48 ]  All replacers has unique idxs.
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ tf:92 ]  Number of nodes in graph_def: 474
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Shape to extractors with custom extractor class <class 'extensions.front.tf.shape_ext.ShapeExtractor'>.
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry CropAndResize to extractors with custom extractor class <class 'extensions.front.tf.crop_and_resize_ext.CropAndResizeFrontExtractor'>.
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Exp to extractors with custom extractor class <class 'extensions.front.tf.exp_ext.ExpExtractor'>.
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AvgPool3D to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.AvgPool3DFrontExtractor'>.
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResizeBilinear to extractors with custom extractor class <class 'extensions.front.tf.resize_bilinear.ResizeBilinearFrontExtractor'>.
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv3D to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.Conv3DFrontExtractor'>.
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry DepthwiseConv2dNative to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.DepthwiseConv2dNativeFrontExtractor'>.
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Rank to extractors with custom extractor class <class 'extensions.front.tf.rank_ext.RankFrontExtractor'>.
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry CTCGreedyDecoder to extractors with custom extractor class <class 'extensions.front.tf.CTCGreedyDecoder_ext.CTCCGreedyDecoderFrontExtractor'>.
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MaxPool3D to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.MaxPool3DFrontExtractor'>.
[ 2019-05-06 14:55:04,122 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Slice to extractors with custom extractor class <class 'extensions.front.tf.slice_ext.SliceExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry StopGradient to extractors with custom extractor class <class 'extensions.front.tf.stop_gradient_ext.StopGradientExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Tile to extractors with custom extractor class <class 'extensions.front.tf.tile_ext.TileExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sum to extractors with custom extractor class <class 'extensions.front.tf.sum_ext.SumFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MaxPool to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.MaxPoolFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Max to extractors with custom extractor class <class 'extensions.front.tf.max_ext.MaxFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry StridedSlice to extractors with custom extractor class <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Tanh to extractors with custom extractor class <class 'mo.front.tf.extractors.tanh.Tanh'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry BlockLSTM to extractors with custom extractor class <class 'extensions.front.tf.BlockLSTM_ext.BlockLSTMExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry NextIteration to extractors with custom extractor class <class 'extensions.front.tf.next_iteration_ext.NextIterationExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:70 ]  Overridden extractor entry Square by custom extractor class <class 'extensions.front.tf.square_ext.SquareExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sigmoid to extractors with custom extractor class <class 'mo.front.tf.extractors.sigmoid.Sigmoid'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Variable to extractors with custom extractor class <class 'extensions.front.tf.variable_ext.VariableExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry FIFOQueueV2 to extractors with custom extractor class <class 'extensions.front.tf.fifo_queue_v2_ext.FIFOQueueV2Extractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ExtractImagePatches to extractors with custom extractor class <class 'extensions.front.tf.extract_image_patches.ExtractImagePatchesExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv2DBackpropInput to extractors with custom extractor class <class 'extensions.front.tf.deconv_ext.Conv2DBackpropInputFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Concat to extractors with custom extractor class <class 'extensions.front.tf.concat_ext.ConcatFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry GatherV2 to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.GatherV2FrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TensorArrayV3 to extractors with custom extractor class <class 'extensions.front.tf.TensorArrayExtractors.TensorArrayExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry DepthToSpace to extractors with custom extractor class <class 'extensions.front.tf.depth_to_space.DepthToSpaceFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ReverseV2 to extractors with custom extractor class <class 'extensions.front.tf.reverse_v2.ReverseV2FrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResourceGather to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.ResourceGatherFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Cast to extractors with custom extractor class <class 'extensions.front.tf.Cast_ext.CastFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ArgMax to extractors with custom extractor class <class 'extensions.front.tf.argmax_ext.ArgMaxFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AddN to extractors with custom extractor class <class 'extensions.front.tf.addn_ext.AddNExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Gather to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.GatherFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MirrorPad to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.MirrorPadFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Pad to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.PadFrontExtractor'>.
[ 2019-05-06 14:55:04,123 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry PadV2 to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.PadV2FrontExtractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SplitV to extractors with custom extractor class <class 'extensions.front.tf.split_ext.SplitVExtractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry VariableV2 to extractors with custom extractor class <class 'extensions.front.tf.variable_ext.VariableV2Extractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AvgPool to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.AvgPoolFrontExtractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv3DBackpropInputV2 to extractors with custom extractor class <class 'extensions.front.tf.deconv_ext.Conv3DBackpropInputV2InputFrontExtractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResizeNearestNeighbor to extractors with custom extractor class <class 'extensions.front.tf.resize_nearest_neighbor.ResizeNearestNeighborFrontExtractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ReverseSequence to extractors with custom extractor class <class 'extensions.front.tf.reverse_sequence.ReverseSequenceFrontExtractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TensorArrayGatherV3 to extractors with custom extractor class <class 'extensions.front.tf.TensorArrayGatherV3.TensorArrayGatherV3Exteractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Elu to extractors with custom extractor class <class 'mo.front.tf.extractors.elu.Elu'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sqrt to extractors with custom extractor class <class 'extensions.front.tf.sqrt_ext.SqrtExtractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Softmax to extractors with custom extractor class <class 'extensions.front.tf.softmax_ext.SoftmaxFrontExtractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv2D to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.Conv2DFrontExtractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTM to extractors with custom op class <class 'extensions.ops.LSTM.LSTM'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Normalize to extractors with custom op class <class 'extensions.ops.normalize.NormalizeOp'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTMCell to extractors with custom op class <class 'extensions.ops.lstm_cell.LSTMCell'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Deconvolution to extractors with custom op class <class 'mo.ops.deconvolution.Deconvolution'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry EltwiseN to extractors with custom op class <class 'mo.ops.eltwise_n.EltwiseN'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ScaleShift to extractors with custom op class <class 'mo.ops.scale_shift.ScaleShiftOp'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DetectionOutput to extractors with custom op class <class 'extensions.ops.DetectionOutput.DetectionOutput'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Convolution to extractors with custom op class <class 'mo.ops.convolution.Convolution'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Interp to extractors with custom op class <class 'extensions.ops.interp.InterpOp'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FlattenONNX to extractors with custom op class <class 'mo.ops.flatten_onnx.FlattenONNX'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Pooling to extractors with custom op class <class 'mo.ops.pooling.Pooling'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Assert to extractors with custom op class <class 'extensions.ops.assert_op.Assert'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Merge to extractors with custom op class <class 'extensions.ops.merge.Merge'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PSROIPooling to extractors with custom op class <class 'extensions.ops.psroipooling.PSROIPoolingOp'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SpatialTransformer to extractors with custom op class <class 'extensions.ops.spatial_transformer.SpatialTransformOp'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronROIFeatureExtractor to extractors with custom op class <class 'extensions.ops.roifeatureextractor_onnx.ExperimentalDetectronROIFeatureExtractor'>.
[ 2019-05-06 14:55:04,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Activation to extractors with custom op class <class 'mo.ops.activation.Activation'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GRN to extractors with custom op class <class 'extensions.ops.grn.GRNOp'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FullyConnected to extractors with custom op class <class 'mo.ops.inner_product.InnerProduct'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PredictionHeatmap to extractors with custom op class <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry OpOutput to extractors with custom op class <class 'mo.ops.output.Output'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Reverse to extractors with custom op class <class 'extensions.ops.Reverse.Reverse'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DataAugmentation to extractors with custom op class <class 'extensions.ops.data_augmentation.DataAugmentationOp'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GRUCell to extractors with custom op class <class 'extensions.ops.GRUCell.GRUCell'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Proposal to extractors with custom op class <class 'extensions.ops.proposal.ProposalOp'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronTopKROIs to extractors with custom op class <class 'extensions.ops.topkrois_onnx.ExperimentalDetectronTopKROIs'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SimplerNMS to extractors with custom op class <class 'extensions.ops.simplernms.SimplerNMSOp'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorBackEdge to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Crop to extractors with custom op class <class 'mo.ops.crop.Crop'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorInput to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Resample to extractors with custom op class <class 'extensions.ops.resample.ResampleOp'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Eltwise to extractors with custom op class <class 'mo.ops.eltwise.Eltwise'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIterator to extractors with custom op class <class 'extensions.ops.tensor_iterator.TensorIterator'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronGenerateProposalsSingleImage to extractors with custom op class <class 'extensions.ops.proposal_onnx.ExperimentalDetectronGenerateProposalsSingleImage'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry BN to extractors with custom op class <class 'extensions.ops.bn.BNOp'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ReorgYolo to extractors with custom op class <class 'extensions.ops.reorgyolo.ReorgYoloOp'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PriorBox to extractors with custom op class <class 'extensions.ops.priorbox.PriorBoxOp'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Select to extractors with custom op class <class 'extensions.ops.select.Select'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ShuffleChannel to extractors with custom op class <class 'extensions.ops.shufflechannel.ShuffleChannelOp'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Axpy to extractors with custom op class <class 'extensions.ops.axpy.AxpyOp'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry InstanceNormalization to extractors with custom op class <class 'extensions.ops.instance_normalization.InstanceNormalization'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayScatterV3 to extractors with custom op class <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry RNNCell to extractors with custom op class <class 'extensions.ops.RNNCell.RNNCell'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MVN to extractors with custom op class <class 'extensions.ops.mvn.MVN'>.
[ 2019-05-06 14:55:04,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SquaredDifference to extractors with custom op class <class 'extensions.ops.SquaredDifference.SquaredDifference'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry RegionYolo to extractors with custom op class <class 'extensions.ops.regionyolo.RegionYoloOp'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Binarization to extractors with custom op class <class 'extensions.ops.binarization.Binarization'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArraySizeV3 to extractors with custom op class <class 'extensions.ops.TensorArraySize.TensorArraySize'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry RNN to extractors with custom op class <class 'extensions.ops.RNN.RNN'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTMSequence to extractors with custom op class <class 'extensions.ops.lstm_sequence.LSTMSequence'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PowerFile to extractors with custom op class <class 'extensions.ops.power_file.PowerFileOp'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ConstantFill to extractors with custom op class <class 'extensions.ops.constant_fill.ConstantFill'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Flatten to extractors with custom op class <class 'mo.ops.flatten.Flatten'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Accum to extractors with custom op class <class 'extensions.ops.accum.AccumOp'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Range to extractors with custom op class <class 'extensions.ops.range.Range'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Correlation to extractors with custom op class <class 'extensions.ops.correlation.CorrelationOp'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Clamp to extractors with custom op class <class 'mo.ops.clamp.Clamp'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorCondition to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayReadV3 to extractors with custom op class <class 'extensions.ops.TensorArrayRead.TensorArrayReader'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Splice to extractors with custom op class <class 'extensions.ops.splice.Splice'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GRU to extractors with custom op class <class 'extensions.ops.GRU.GRU'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Enter to extractors with custom op class <class 'extensions.ops.Enter.Enter'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GatherNd to extractors with custom op class <class 'extensions.ops.GatherNd.GatherNd'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PriorBoxClustered to extractors with custom op class <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Input to extractors with custom op class <class 'mo.ops.input.Input'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Memory to extractors with custom op class <class 'mo.ops.memory.Memory'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronDetectionOutput to extractors with custom op class <class 'extensions.ops.detectionoutput_onnx.ExperimentalDetectronDetectionOutput'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Quantize to extractors with custom op class <class 'extensions.ops.quantize.QuantizeOp'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayWriteV3 to extractors with custom op class <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Exit to extractors with custom op class <class 'extensions.ops.Exit.Exit'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronPriorGridGenerator to extractors with custom op class <class 'extensions.ops.priorgridgenerator_onnx.ExperimentalDetectronPriorGridGenerator'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorOutput to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Switch to extractors with custom op class <class 'extensions.ops.switch.Switch'>.
[ 2019-05-06 14:55:04,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PReLU to extractors with custom op class <class 'extensions.ops.prelu.PreluOp'>.
[ 2019-05-06 14:55:04,142 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2019-05-06 14:55:04,143 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-05-06 14:55:04,143 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  FusedBatchNorm doesn't support is_training=True
[ 2019-05-06 14:55:04,144 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [5] and value.shape = (5,)
[ 2019-05-06 14:55:04,144 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-05-06 14:55:04,145 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,145 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,147 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,148 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-05-06 14:55:04,148 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,149 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 256  18] and value.shape = (1, 1, 256, 18)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,149 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,150 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-05-06 14:55:04,150 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-05-06 14:55:04,150 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,151 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,152 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2019-05-06 14:55:04,152 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ 2019-05-06 14:55:04,152 ] [ DEBUG ] [ utils:78 ]  value = [-1], shape = [], res = [-1], res.shape = (1,)
[ 2019-05-06 14:55:04,152 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,153 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,154 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ WARNING ]  FusedBatchNorm doesn't support is_training=True
[ 2019-05-06 14:55:04,156 ] [ DEBUG ] [ utils:78 ]  value = [-1], shape = [], res = [-1], res.shape = (1,)
[ 2019-05-06 14:55:04,156 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,170 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   3    3  512 1024] and value.shape = (3, 3, 512, 1024)
[ 2019-05-06 14:55:04,170 ] [ DEBUG ] [ utils:78 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2019-05-06 14:55:04,170 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,171 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2019-05-06 14:55:04,171 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,172 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,172 ] [ DEBUG ] [ utils:78 ]  value = [26], shape = [], res = [26], res.shape = (1,)
[ 2019-05-06 14:55:04,172 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,172 ] [ DEBUG ] [ utils:78 ]  value = [2.0], shape = [], res = [ 2.], res.shape = (1,)
[ 2019-05-06 14:55:04,173 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,173 ] [ DEBUG ] [ utils:78 ]  value = [0.10000000149011612], shape = [], res = [ 0.1], res.shape = (1,)
[ 2019-05-06 14:55:04,173 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,174 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3 128 256] and value.shape = (3, 3, 128, 256)
[ 2019-05-06 14:55:04,174 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [16] and value.shape = (16,)
[ 2019-05-06 14:55:04,175 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2019-05-06 14:55:04,176 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-05-06 14:55:04,176 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,176 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,177 ] [ DEBUG ] [ utils:78 ]  value = [13], shape = [], res = [13], res.shape = (1,)
[ 2019-05-06 14:55:04,177 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,178 ] [ DEBUG ] [ utils:78 ]  value = [13], shape = [], res = [13], res.shape = (1,)
[ 2019-05-06 14:55:04,178 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,178 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  FusedBatchNorm doesn't support is_training=True
[ 2019-05-06 14:55:04,179 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [16] and value.shape = (16,)
[ 2019-05-06 14:55:04,179 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ WARNING ]  FusedBatchNorm doesn't support is_training=True
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,180 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ WARNING ]  FusedBatchNorm doesn't support is_training=True
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,181 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,182 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-05-06 14:55:04,182 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,183 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-05-06 14:55:04,184 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,184 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,184 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,185 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,186 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,187 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2019-05-06 14:55:04,188 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,188 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,191 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3 256 512] and value.shape = (3, 3, 256, 512)
[ 2019-05-06 14:55:04,191 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-05-06 14:55:04,191 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  FusedBatchNorm doesn't support is_training=True
[ 2019-05-06 14:55:04,192 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-05-06 14:55:04,192 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2019-05-06 14:55:04,192 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-05-06 14:55:04,193 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  256] and value.shape = (1, 1, 1024, 256)
[ 2019-05-06 14:55:04,194 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-05-06 14:55:04,195 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ 2019-05-06 14:55:04,197 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-05-06 14:55:04,197 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ WARNING ]  FusedBatchNorm doesn't support is_training=True
[ 2019-05-06 14:55:04,198 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2019-05-06 14:55:04,199 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2019-05-06 14:55:04,200 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,201 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,201 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2019-05-06 14:55:04,202 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,202 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,203 ] [ DEBUG ] [ utils:78 ]  value = [2.0], shape = [], res = [ 2.], res.shape = (1,)
[ 2019-05-06 14:55:04,203 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,203 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 256 128] and value.shape = (1, 1, 256, 128)
[ 2019-05-06 14:55:04,203 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 512  18] and value.shape = (1, 1, 512, 18)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,204 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,205 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,205 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,206 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1024] and value.shape = (1024,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,207 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,207 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,208 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 32 64] and value.shape = (3, 3, 32, 64)
[ 2019-05-06 14:55:04,209 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-05-06 14:55:04,209 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3 2] and value.shape = (3, 2)
[ 2019-05-06 14:55:04,209 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1024] and value.shape = (1024,)
[ 2019-05-06 14:55:04,210 ] [ DEBUG ] [ utils:78 ]  value = [0.10000000149011612], shape = [], res = [ 0.1], res.shape = (1,)
[ 2019-05-06 14:55:04,210 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,210 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3 2] and value.shape = (3, 2)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,211 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,212 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,212 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,213 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-05-06 14:55:04,213 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-05-06 14:55:04,213 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-05-06 14:55:04,214 ] [ DEBUG ] [ utils:78 ]  value = [26], shape = [], res = [26], res.shape = (1,)
[ 2019-05-06 14:55:04,214 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,214 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-05-06 14:55:04,214 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,215 ] [ DEBUG ] [ utils:78 ]  value = [False], shape = [], res = [False], res.shape = (1,)
[ 2019-05-06 14:55:04,215 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,215 ] [ DEBUG ] [ utils:78 ]  value = [-1], shape = [], res = [-1], res.shape = (1,)
[ 2019-05-06 14:55:04,215 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,216 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ 2019-05-06 14:55:04,217 ] [ DEBUG ] [ utils:78 ]  value = [0.10000000149011612], shape = [], res = [ 0.1], res.shape = (1,)
[ 2019-05-06 14:55:04,217 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,218 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-05-06 14:55:04,218 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,218 ] [ DEBUG ] [ utils:78 ]  value = [-1], shape = [], res = [-1], res.shape = (1,)
[ 2019-05-06 14:55:04,219 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  FusedBatchNorm doesn't support is_training=True
[ 2019-05-06 14:55:04,220 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-05-06 14:55:04,221 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,221 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,221 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,222 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,222 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,222 ] [ DEBUG ] [ utils:78 ]  value = [13], shape = [], res = [13], res.shape = (1,)
[ 2019-05-06 14:55:04,223 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,223 ] [ DEBUG ] [ utils:78 ]  value = [26], shape = [], res = [26], res.shape = (1,)
[ 2019-05-06 14:55:04,223 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,224 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [16] and value.shape = (16,)
[ 2019-05-06 14:55:04,225 ] [ DEBUG ] [ utils:78 ]  value = [26], shape = [], res = [26], res.shape = (1,)
[ 2019-05-06 14:55:04,225 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,226 ] [ DEBUG ] [ utils:78 ]  value = [0.10000000149011612], shape = [], res = [ 0.1], res.shape = (1,)
[ 2019-05-06 14:55:04,226 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,226 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-05-06 14:55:04,227 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1024] and value.shape = (1024,)
[ 2019-05-06 14:55:04,227 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [18] and value.shape = (18,)
[ 2019-05-06 14:55:04,227 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-05-06 14:55:04,228 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  FusedBatchNorm doesn't support is_training=True
[ 2019-05-06 14:55:04,229 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3  3 16] and value.shape = (3, 3, 3, 16)
[ 2019-05-06 14:55:04,229 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-05-06 14:55:04,229 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,229 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-05-06 14:55:04,230 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ 2019-05-06 14:55:04,232 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3 384 256] and value.shape = (3, 3, 384, 256)
[ 2019-05-06 14:55:04,232 ] [ DEBUG ] [ utils:78 ]  value = [0.10000000149011612], shape = [], res = [ 0.1], res.shape = (1,)
[ 2019-05-06 14:55:04,232 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,233 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [5] and value.shape = (5,)
[ 2019-05-06 14:55:04,233 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2019-05-06 14:55:04,234 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ WARNING ]  FusedBatchNorm doesn't support is_training=True
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,235 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,235 ] [ DEBUG ] [ utils:78 ]  value = [-1], shape = [], res = [-1], res.shape = (1,)
[ 2019-05-06 14:55:04,235 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,236 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-05-06 14:55:04,236 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,237 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,237 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3  64 128] and value.shape = (3, 3, 64, 128)
[ 2019-05-06 14:55:04,237 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,238 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,238 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [16] and value.shape = (16,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,239 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,239 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,240 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,241 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,242 ] [ DEBUG ] [ utils:78 ]  value = [0.10000000149011612], shape = [], res = [ 0.1], res.shape = (1,)
[ 2019-05-06 14:55:04,242 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,242 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-05-06 14:55:04,242 ] [ DEBUG ] [ utils:78 ]  value = [-1], shape = [], res = [-1], res.shape = (1,)
[ 2019-05-06 14:55:04,242 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,243 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2019-05-06 14:55:04,243 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2019-05-06 14:55:04,243 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,245 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,245 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,246 ] [ DEBUG ] [ utils:78 ]  value = [-1], shape = [], res = [-1], res.shape = (1,)
[ 2019-05-06 14:55:04,246 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,247 ] [ DEBUG ] [ utils:78 ]  value = [0.10000000149011612], shape = [], res = [ 0.1], res.shape = (1,)
[ 2019-05-06 14:55:04,247 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,248 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-05-06 14:55:04,249 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-05-06 14:55:04,249 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,249 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,249 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,250 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,251 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,251 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-05-06 14:55:04,254 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3 256 512] and value.shape = (3, 3, 256, 512)
[ 2019-05-06 14:55:04,254 ] [ DEBUG ] [ utils:78 ]  value = [0.10000000149011612], shape = [], res = [ 0.1], res.shape = (1,)
[ 2019-05-06 14:55:04,254 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,254 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,255 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,256 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,256 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2019-05-06 14:55:04,257 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2019-05-06 14:55:04,257 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-05-06 14:55:04,258 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1024] and value.shape = (1024,)
[ 2019-05-06 14:55:04,258 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-05-06 14:55:04,259 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ 2019-05-06 14:55:04,259 ] [ DEBUG ] [ utils:78 ]  value = [-1], shape = [], res = [-1], res.shape = (1,)
[ 2019-05-06 14:55:04,259 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,260 ] [ DEBUG ] [ utils:78 ]  value = [0.10000000149011612], shape = [], res = [ 0.1], res.shape = (1,)
[ 2019-05-06 14:55:04,260 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,260 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-05-06 14:55:04,260 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,260 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-05-06 14:55:04,261 ] [ DEBUG ] [ utils:78 ]  value = [2.0], shape = [], res = [ 2.], res.shape = (1,)
[ 2019-05-06 14:55:04,261 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,261 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-05-06 14:55:04,262 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2019-05-06 14:55:04,262 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [18] and value.shape = (18,)
[ 2019-05-06 14:55:04,263 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-05-06 14:55:04,263 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-05-06 14:55:04,264 ] [ DEBUG ] [ utils:78 ]  value = [2.0], shape = [], res = [ 2.], res.shape = (1,)
[ 2019-05-06 14:55:04,264 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,264 ] [ DEBUG ] [ utils:78 ]  value = [0.10000000149011612], shape = [], res = [ 0.1], res.shape = (1,)
[ 2019-05-06 14:55:04,264 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-05-06 14:55:04,265 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 16 32] and value.shape = (3, 3, 16, 32)
[ WARNING ]  FusedBatchNorm doesn't support is_training=True
[ 2019-05-06 14:55:04,266 ] [ DEBUG ] [ utils:78 ]  value = [13], shape = [], res = [13], res.shape = (1,)
[ 2019-05-06 14:55:04,266 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2019-05-06 14:55:04,267 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-05-06 14:55:04,268 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-05-06 14:55:04,268 ] [ DEBUG ] [ utils:78 ]  value = [0.10000000149011612], shape = [], res = [ 0.1], res.shape = (1,)
[ 2019-05-06 14:55:04,268 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Instructions/layers that do not have attribute extractors:
[ WARNING ]      Fill (2)
[ WARNING ]          meshgrid/ones
[ WARNING ]          meshgrid_1/ones
[ WARNING ]      FloorDiv (2)
[ WARNING ]          floordiv
[ WARNING ]          floordiv_1
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.prelu.PReLU'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.prelu.PReLU'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.mvn.MVN'> will be run before <class 'extensions.front.squared_difference.SquaredDifference'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.mvn.MVN'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.prelu.PReLUWithAbs'> will be run before <class 'extensions.front.sub.Sub'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.prelu.PReLUWithAbs'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> will be run before <class 'extensions.front.squared_difference.SquaredDifference'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> will be run before <class 'extensions.front.div.Div'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> will be run before <class 'extensions.front.sub.Sub'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.concat.Concat'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.concat.Concat'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.CTCGreedyDecoder.CTCGreedyDecoderReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.CTCGreedyDecoder.CTCGreedyDecoderReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.fifo_replacer.FIFOQueue'> will be run before <class 'extensions.front.override_batch.OverrideBatch'>
[ 2019-05-06 14:55:04,269 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.fifo_replacer.FIFOQueue'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'> will be run before <class 'extensions.front.Pack.Pack'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'> will be run after <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'> will be run before <class 'extensions.front.override_batch.OverrideBatch'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'> will be run before <class 'extensions.front.Pack.Pack'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.no_op_eraser.NoOpEraser'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.no_op_eraser.NoOpEraser'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> will be run before <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> will be run after <class 'extensions.front.restore_ports.RestorePorts'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.restore_ports.RestorePorts'> will be run after <class 'extensions.front.input_cut.InputCut'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignElimination'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignElimination'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.Unpack.Unpack'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,270 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.Unpack.Unpack'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssertElimination'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssertElimination'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.squared_difference.SquaredDifference'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.squared_difference.SquaredDifference'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.div.Div'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.div.Div'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ZerosLike.ZerosLikeReplacer'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ZerosLike.ZerosLikeReplacer'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.Pack.Pack'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.Pack.Pack'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.LRNReplacer.LRNReplacer'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.LRNReplacer.LRNReplacer'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.image_scaler.ImageScaler'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.image_scaler.ImageScaler'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.BlockLSTM.BlockLSTM'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.BlockLSTM.BlockLSTM'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.eltwise_n.EltwiseNReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.eltwise_n.EltwiseNReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,271 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignAddElimination'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignAddElimination'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.sub.Sub'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.sub.Sub'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ArgMaxReshape.ArgMaxReshape'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ArgMaxReshape.ArgMaxReshape'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.fake_const.FakeConstToConst'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.fake_const.FakeConstToConst'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.reciprocal.ReciprocalReplacer'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.reciprocal.ReciprocalReplacer'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignSubElimination'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignSubElimination'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.instance_normalization.InstanceNormalization'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.instance_normalization.InstanceNormalization'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run before <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run before <class 'extensions.front.tf.Unpack.Unpack'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run after <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ 2019-05-06 14:55:04,272 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ConvFlatten.ConvFlattenReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ConvFlatten.ConvFlattenReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'> will be run before <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> will be run before <class 'extensions.front.Pack.Pack'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'> will be run before <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run before <class 'extensions.front.div.Div'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run before <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.tensorflow_patterns.TensorflowSubgraphPatterns'> will be run after <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'>
[ 2019-05-06 14:55:04,273 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'> will be run before <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'> will be run after <class 'extensions.front.input_cut.InputCut'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.tensorflow_use_custom_operations_config.TensorflowUseCustomOperationsConfig'> will be run before <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'> will be run after <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.tensorflow_patterns.TensorflowOperationPatterns'> will be run before <class 'extensions.front.tf.tensorflow_use_custom_operations_config.TensorflowUseCustomOperationsConfig'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.tensorflow_patterns.TensorflowOperationPatterns'> will be run after <class 'extensions.front.tf.tensorflow_patterns.TensorflowSubgraphPatterns'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.override_batch.OverrideBatch'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.override_batch.OverrideBatch'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.create_tensor_nodes.CreateTensorNodes'> will be run after <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.input_cut.InputCut'> will be run after <class 'extensions.front.output_cut.OutputCut'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.output_cut.OutputCut'> will be run after <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'> will be run before <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'> will be run after <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'> will be run after <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'> will be run before <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2019-05-06 14:55:04,274 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,275 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.front.tf.YOLO.YoloV3RegionAddon'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:04,275 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.front.tf.YOLO.YoloV3RegionAddon'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,276 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 2019-05-06 14:55:04,280 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.output_cut.OutputCut'>
[ 2019-05-06 14:55:04,285 ] [ DEBUG ] [ graph:763 ]  Sink: concat_7/sink_port_0 for node concat_7
[ 2019-05-06 14:55:04,285 ] [ DEBUG ] [ graph:764 ]  {'data_type': None, 'name': 'concat_7/sink_port_0', '_in_ports': {0}, 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function Output.__init__.<locals>.<lambda> at 0x7fe3ddcce510>, 'value': None, 'in_ports_count': 1, 'op': 'OpOutput', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd41c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set()}
[ 2019-05-06 14:55:04,285 ] [ DEBUG ] [ graph:765 ]  Add edge from concat_7 to concat_7/sink_port_0
[ 2019-05-06 14:55:04,286 ] [ DEBUG ] [ graph:763 ]  Sink: mul_4/sink_port_0 for node mul_4
[ 2019-05-06 14:55:04,286 ] [ DEBUG ] [ graph:764 ]  {'data_type': None, 'name': 'mul_4/sink_port_0', '_in_ports': {0}, 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function Output.__init__.<locals>.<lambda> at 0x7fe3ddd43268>, 'value': None, 'in_ports_count': 1, 'op': 'OpOutput', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcd0e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set()}
[ 2019-05-06 14:55:04,286 ] [ DEBUG ] [ graph:765 ]  Add edge from mul_4 to mul_4/sink_port_0
[ 2019-05-06 14:55:04,291 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.input_cut.InputCut'>
[ 2019-05-06 14:55:04,297 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
concat_7/sink_port_0
mul_4/sink_port_0
[ 2019-05-06 14:55:04,358 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 
[ 2019-05-06 14:55:04,374 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.restore_ports.RestorePorts'>
[ INFO ]  Skip replacer <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.front.tf.tensorflow_patterns.TensorflowSubgraphPatterns'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.front.tf.tensorflow_patterns.TensorflowOperationPatterns'> (graph_condition not satisfied)
[ 2019-05-06 14:55:04,380 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.tensorflow_use_custom_operations_config.TensorflowUseCustomOperationsConfig'>
[ INFO ]  Registered custom replacement with id 'TFYOLOV3'
[ 2019-05-06 14:55:04,384 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.pass_separator.FrontStart'>
[ 2019-05-06 14:55:04,388 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIConstValueOverride' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIConstValueOverride'
[ 2019-05-06 14:55:04,392 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.eltwise_n.EltwiseNReplacement'>
[ 2019-05-06 14:55:04,409 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ArgMaxReshape.ArgMaxReshape'>
[ 2019-05-06 14:55:04,425 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.assign_elimination.AssignAddElimination'>
[ 2019-05-06 14:55:04,442 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.instance_normalization.InstanceNormalization'>
[ 2019-05-06 14:55:04,458 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.LRNReplacer.LRNReplacer'>
[ 2019-05-06 14:55:04,474 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.assign_elimination.AssignElimination'>
[ 2019-05-06 14:55:04,490 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.fifo_replacer.FIFOQueue'>
[ 2019-05-06 14:55:04,506 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.prelu.PReLU'>
[ 2019-05-06 14:55:04,522 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ZerosLike.ZerosLikeReplacer'>
[ 2019-05-06 14:55:04,539 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.CTCGreedyDecoder.CTCGreedyDecoderReplacement'>
[ 2019-05-06 14:55:04,555 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ConvFlatten.ConvFlattenReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ConvFlatten' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ConvFlatten'
[ 2019-05-06 14:55:04,559 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.reciprocal.ReciprocalReplacer'>
[ 2019-05-06 14:55:04,575 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'>
[ 2019-05-06 14:55:04,575 ] [ DEBUG ] [ mvn_unrolled:34 ]  Enabled MVN replacement
[ 2019-05-06 14:55:04,592 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.assign_elimination.AssignSubElimination'>
[ 2019-05-06 14:55:04,609 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'RetinaNetFilteredDetectionsReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'RetinaNetFilteredDetectionsReplacement'
[ 2019-05-06 14:55:04,613 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.mvn.MVN'>
[ 2019-05-06 14:55:04,613 ] [ DEBUG ] [ mvn:35 ]  Enabled MVN replacement
[ 2019-05-06 14:55:04,634 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.squared_difference.SquaredDifference'>
[ 2019-05-06 14:55:04,650 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.assign_elimination.AssertElimination'>
[ 2019-05-06 14:55:04,666 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'SSDToolboxDetectionOutput' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'SSDToolboxDetectionOutput'
[ 2019-05-06 14:55:04,670 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.BlockLSTM.BlockLSTM'>
[ 2019-05-06 14:55:04,687 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ 2019-05-06 14:55:04,703 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.prelu.PReLUWithAbs'>
[ 2019-05-06 14:55:04,720 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.concat.Concat'>
[ 2019-05-06 14:55:04,736 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'>
[ 2019-05-06 14:55:04,752 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ 2019-05-06 14:55:04,770 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'>
[ 2019-05-06 14:55:04,803 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.image_scaler.ImageScaler'>
[ 2019-05-06 14:55:04,819 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'>
[ 2019-05-06 14:55:04,836 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.override_batch.OverrideBatch'>
[ 2019-05-06 14:55:04,841 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.YOLO.YoloV3RegionAddon'>
[ 2019-05-06 14:55:04,846 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIOutputReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIOutputReplacement'
[ 2019-05-06 14:55:04,850 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
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[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIPreprocessorReplacement'
[ 2019-05-06 14:55:04,854 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
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[ 2019-05-06 14:55:04,858 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ 2019-05-06 14:55:04,875 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'>
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[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIDetectionOutputReplacement'
[ 2019-05-06 14:55:04,879 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.Unpack.Unpack'>
[ 2019-05-06 14:55:04,895 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
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[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'
[ 2019-05-06 14:55:04,899 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'>
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[ 2019-05-06 14:55:04,903 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.sub.Sub'>
[ 2019-05-06 14:55:04,916 ] [ DEBUG ] [ replacement:105 ]  Created edge from sub_1/add_ to concat_7 with attrs: {'control_flow_edge': False, 'in': 1, 'out': 0, 'data_attrs': ['fw_tensor_debug_info'], 'fw_tensor_debug_info': [('sub_1', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'control_flow_edge', 'permutation']}
[ 2019-05-06 14:55:04,916 ] [ DEBUG ] [ replacement:221 ]  Removing nodes: ['sub_1']
[ 2019-05-06 14:55:04,917 ] [ DEBUG ] [ replacement:105 ]  Created edge from sub/add_ to concat_7 with attrs: {'control_flow_edge': False, 'in': 0, 'out': 0, 'data_attrs': ['fw_tensor_debug_info'], 'fw_tensor_debug_info': [('sub', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'control_flow_edge', 'permutation']}
[ 2019-05-06 14:55:04,917 ] [ DEBUG ] [ replacement:221 ]  Removing nodes: ['sub']
[ 2019-05-06 14:55:04,922 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIPSROIPoolingReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIPSROIPoolingReplacement'
[ 2019-05-06 14:55:04,927 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPISSDPostprocessorReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPISSDPostprocessorReplacement'
[ 2019-05-06 14:55:04,931 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.div.Div'>
[ 2019-05-06 14:55:04,948 ] [ DEBUG ] [ replacement:105 ]  Created edge from truediv_3/mul_ to add_3 with attrs: {'control_flow_edge': False, 'in': 1, 'out': 0, 'data_attrs': ['fw_tensor_debug_info'], 'fw_tensor_debug_info': [('truediv_3', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'control_flow_edge', 'permutation']}
[ 2019-05-06 14:55:04,949 ] [ DEBUG ] [ replacement:221 ]  Removing nodes: ['truediv_3']
[ 2019-05-06 14:55:04,954 ] [ DEBUG ] [ replacement:105 ]  Created edge from truediv_2/mul_ to add_2 with attrs: {'control_flow_edge': False, 'in': 1, 'out': 0, 'data_attrs': ['fw_tensor_debug_info'], 'fw_tensor_debug_info': [('truediv_2', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'control_flow_edge', 'permutation']}
[ 2019-05-06 14:55:04,955 ] [ DEBUG ] [ replacement:221 ]  Removing nodes: ['truediv_2']
[ 2019-05-06 14:55:04,960 ] [ DEBUG ] [ replacement:105 ]  Created edge from truediv_1/mul_ to sub_1/negate_ with attrs: {'in': 0, 'out': 0, 'data_attrs': [], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'permutation']}
[ 2019-05-06 14:55:04,960 ] [ DEBUG ] [ replacement:221 ]  Removing nodes: ['truediv_1']
[ 2019-05-06 14:55:04,966 ] [ DEBUG ] [ replacement:105 ]  Created edge from truediv/mul_ to sub/negate_ with attrs: {'in': 0, 'out': 0, 'data_attrs': [], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'permutation']}
[ 2019-05-06 14:55:04,966 ] [ DEBUG ] [ replacement:221 ]  Removing nodes: ['truediv']
[ 2019-05-06 14:55:04,972 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2019-05-06 14:55:05,004 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'>
[ WARNING ]  Configuration file for custom replacement with id 'TFYOLO' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFYOLO'
[ 2019-05-06 14:55:05,009 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.Pack.Pack'>
[ 2019-05-06 14:55:05,022 ] [ DEBUG ] [ replacement:105 ]  Created edge from meshgrid/ones/packed/Concat_ to meshgrid/ones with attrs: {'control_flow_edge': False, 'in': 0, 'out': 0, 'data_attrs': ['fw_tensor_debug_info'], 'fw_tensor_debug_info': [('meshgrid/ones/packed', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'control_flow_edge', 'permutation']}
[ 2019-05-06 14:55:05,023 ] [ DEBUG ] [ replacement:221 ]  Removing nodes: ['meshgrid/ones/packed']
[ 2019-05-06 14:55:05,024 ] [ DEBUG ] [ replacement:105 ]  Created edge from meshgrid_1/ones/packed/Concat_ to meshgrid_1/ones with attrs: {'control_flow_edge': False, 'in': 0, 'out': 0, 'data_attrs': ['fw_tensor_debug_info'], 'fw_tensor_debug_info': [('meshgrid_1/ones/packed', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'control_flow_edge', 'permutation']}
[ 2019-05-06 14:55:05,024 ] [ DEBUG ] [ replacement:221 ]  Removing nodes: ['meshgrid_1/ones/packed']
[ 2019-05-06 14:55:05,030 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.tf.fake_const.FakeConstToConst'>
[ 2019-05-06 14:55:05,047 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.pass_separator.FrontFinish'>
[ 2019-05-06 14:55:05,051 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.front.create_tensor_nodes.CreateTensorNodes'>
[ 2019-05-06 14:55:05,087 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:05,131 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 493
493/Output_0/Data_
497
497/Output_0/Data_
Cast
Cast/Output_0/Data_
Cast_1
Cast_1/Output_0/Data_
Cast_2
Cast_2/Output_0/Data_
Cast_3
Cast_3/Output_0/Data_
Const
Const/Output_0/Data_
Const_1
Const_1/Output_0/Data_
Const_2
Const_2/Output_0/Data_
Exp
Exp/Output_0/Data_
Exp_1
Exp_1/Output_0/Data_
Reshape
Reshape/Output_0/Data_
Reshape/shape
Reshape/shape/Output_0/Data_
Reshape_1
Reshape_1/Output_0/Data_
Reshape_1/shape
Reshape_1/shape/Output_0/Data_
Reshape_10
Reshape_10/Output_0/Data_
Reshape_10/shape
Reshape_10/shape/Output_0/Data_
Reshape_11
Reshape_11/Output_0/Data_
Reshape_11/shape
Reshape_11/shape/Output_0/Data_
Reshape_12
Reshape_12/Output_0/Data_
Reshape_12/shape
Reshape_12/shape/Output_0/Data_
Reshape_13
Reshape_13/Output_0/Data_
Reshape_13/shape
Reshape_13/shape/Output_0/Data_
Reshape_2
Reshape_2/Output_0/Data_
Reshape_2/shape
Reshape_2/shape/Output_0/Data_
Reshape_3
Reshape_3/Output_0/Data_
Reshape_3/shape
Reshape_3/shape/Output_0/Data_
Reshape_4
Reshape_4/Output_0/Data_
Reshape_4/shape
Reshape_4/shape/Output_0/Data_
Reshape_5
Reshape_5/Output_0/Data_
Reshape_5/shape
Reshape_5/shape/Output_0/Data_
Reshape_6
Reshape_6/Output_0/Data_
Reshape_6/shape
Reshape_6/shape/Output_0/Data_
Reshape_7
Reshape_7/Output_0/Data_
Reshape_7/shape
Reshape_7/shape/Output_0/Data_
Reshape_8
Reshape_8/Output_0/Data_
Reshape_8/shape
Reshape_8/shape/Output_0/Data_
Reshape_9
Reshape_9/Output_0/Data_
Reshape_9/shape
Reshape_9/shape/Output_0/Data_
Shape
Shape/Output_0/Data_
Sigmoid
Sigmoid/Output_0/Data_
Sigmoid_1
Sigmoid_1/Output_0/Data_
Sigmoid_2
Sigmoid_2/Output_0/Data_
Sigmoid_3
Sigmoid_3/Output_0/Data_
Sigmoid_4
Sigmoid_4/Output_0/Data_
Sigmoid_5
Sigmoid_5/Output_0/Data_
add
add/Output_0/Data_
add_1
add_1/Output_0/Data_
add_2
add_2/Output_0/Data_
add_3
add_3/Output_0/Data_
concat
concat/Output_0/Data_
concat/axis
concat/axis/Output_0/Data_
concat_1
concat_1/Output_0/Data_
concat_1/axis
concat_1/axis/Output_0/Data_
concat_2
concat_2/Output_0/Data_
concat_2/axis
concat_2/axis/Output_0/Data_
concat_3
concat_3/Output_0/Data_
concat_3/axis
concat_3/axis/Output_0/Data_
concat_4
concat_4/Output_0/Data_
concat_4/axis
concat_4/axis/Output_0/Data_
concat_5
concat_5/Output_0/Data_
concat_5/axis
concat_5/axis/Output_0/Data_
concat_6
concat_6/Output_0/Data_
concat_6/axis
concat_6/axis/Output_0/Data_
concat_7
concat_7/axis
concat_7/axis/Output_0/Data_
floordiv
floordiv/Output_0/Data_
floordiv/y
floordiv/y/Output_0/Data_
floordiv_1
floordiv_1/Output_0/Data_
floordiv_1/y
floordiv_1/y/Output_0/Data_
meshgrid/Reshape
meshgrid/Reshape/Output_0/Data_
meshgrid/Reshape/shape
meshgrid/Reshape/shape/Output_0/Data_
meshgrid/Reshape_1
meshgrid/Reshape_1/Output_0/Data_
meshgrid/Reshape_1/shape
meshgrid/Reshape_1/shape/Output_0/Data_
meshgrid/Reshape_2
meshgrid/Reshape_2/Output_0/Data_
meshgrid/Reshape_2/shape
meshgrid/Reshape_2/shape/Output_0/Data_
meshgrid/Reshape_3
meshgrid/Reshape_3/Output_0/Data_
meshgrid/Reshape_3/shape
meshgrid/Reshape_3/shape/Output_0/Data_
meshgrid/Size
meshgrid/Size/Output_0/Data_
meshgrid/Size_1
meshgrid/Size_1/Output_0/Data_
meshgrid/mul
meshgrid/mul/Output_0/Data_
meshgrid/mul_1
meshgrid/mul_1/Output_0/Data_
meshgrid/ones
meshgrid/ones/Const
meshgrid/ones/Const/Output_0/Data_
meshgrid/ones/Output_0/Data_
meshgrid/ones/packed/Concat_
meshgrid/ones/packed/Concat_/Output_0/Data_
meshgrid/ones/packed/ExpandDims_
meshgrid/ones/packed/ExpandDims_/Output_0/Data_
meshgrid/ones/packed/ExpandDims_495
meshgrid/ones/packed/ExpandDims_495/Output_0/Data_
meshgrid_1/Reshape
meshgrid_1/Reshape/Output_0/Data_
meshgrid_1/Reshape/shape
meshgrid_1/Reshape/shape/Output_0/Data_
meshgrid_1/Reshape_1
meshgrid_1/Reshape_1/Output_0/Data_
meshgrid_1/Reshape_1/shape
meshgrid_1/Reshape_1/shape/Output_0/Data_
meshgrid_1/Reshape_2
meshgrid_1/Reshape_2/Output_0/Data_
meshgrid_1/Reshape_2/shape
meshgrid_1/Reshape_2/shape/Output_0/Data_
meshgrid_1/Reshape_3
meshgrid_1/Reshape_3/Output_0/Data_
meshgrid_1/Reshape_3/shape
meshgrid_1/Reshape_3/shape/Output_0/Data_
meshgrid_1/Size
meshgrid_1/Size/Output_0/Data_
meshgrid_1/Size_1
meshgrid_1/Size_1/Output_0/Data_
meshgrid_1/mul
meshgrid_1/mul/Output_0/Data_
meshgrid_1/mul_1
meshgrid_1/mul_1/Output_0/Data_
meshgrid_1/ones
meshgrid_1/ones/Const
meshgrid_1/ones/Const/Output_0/Data_
meshgrid_1/ones/Output_0/Data_
meshgrid_1/ones/packed/Concat_
meshgrid_1/ones/packed/Concat_/Output_0/Data_
meshgrid_1/ones/packed/ExpandDims_
meshgrid_1/ones/packed/ExpandDims_/Output_0/Data_
meshgrid_1/ones/packed/ExpandDims_499
meshgrid_1/ones/packed/ExpandDims_499/Output_0/Data_
mul
mul/Output_0/Data_
mul_1
mul_1/Output_0/Data_
mul_1/y
mul_1/y/Output_0/Data_
mul_2
mul_2/Output_0/Data_
mul_3
mul_3/Output_0/Data_
mul_3/y
mul_3/y/Output_0/Data_
mul_4
range
range/Output_0/Data_
range/delta
range/delta/Output_0/Data_
range/limit
range/limit/Output_0/Data_
range/start
range/start/Output_0/Data_
range_1
range_1/Output_0/Data_
range_1/delta
range_1/delta/Output_0/Data_
range_1/limit
range_1/limit/Output_0/Data_
range_1/start
range_1/start/Output_0/Data_
range_2
range_2/Output_0/Data_
range_2/delta
range_2/delta/Output_0/Data_
range_2/limit
range_2/limit/Output_0/Data_
range_2/start
range_2/start/Output_0/Data_
range_3
range_3/Output_0/Data_
range_3/delta
range_3/delta/Output_0/Data_
range_3/limit
range_3/limit/Output_0/Data_
range_3/start
range_3/start/Output_0/Data_
split
split/Output_0/Data_
split/Output_1/Data_
split/Output_2/Data_
split/Output_3/Data_
split/split_dim
split/split_dim/Output_0/Data_
split_1
split_1/Output_0/Data_
split_1/Output_1/Data_
split_1/Output_2/Data_
split_1/Output_3/Data_
split_1/split_dim
split_1/split_dim/Output_0/Data_
split_2
split_2/Output_0/Data_
split_2/Output_1/Data_
split_2/Output_2/Data_
split_2/Output_3/Data_
split_2/split_dim
split_2/split_dim/Output_0/Data_
strided_slice
strided_slice/Output_0/Data_
strided_slice/stack
strided_slice/stack/Output_0/Data_
strided_slice/stack_1
strided_slice/stack_1/Output_0/Data_
strided_slice/stack_2
strided_slice/stack_2/Output_0/Data_
strided_slice_3
strided_slice_3/Output_0/Data_
strided_slice_3/stack
strided_slice_3/stack/Output_0/Data_
strided_slice_3/stack_1
strided_slice_3/stack_1/Output_0/Data_
strided_slice_3/stack_2
strided_slice_3/stack_2/Output_0/Data_
strided_slice_4
strided_slice_4/Output_0/Data_
strided_slice_4/stack
strided_slice_4/stack/Output_0/Data_
strided_slice_4/stack_1
strided_slice_4/stack_1/Output_0/Data_
strided_slice_4/stack_2
strided_slice_4/stack_2/Output_0/Data_
sub/add_
sub/add_/Output_0/Data_
sub/negate_
sub/negate_/Output_0/Data_
sub_1/add_
sub_1/add_/Output_0/Data_
sub_1/negate_
sub_1/negate_/Output_0/Data_
truediv/mul_
truediv/mul_/Output_0/Data_
truediv/reciprocal_
truediv/reciprocal_/Output_0/Data_
truediv/y
truediv/y/Output_0/Data_
truediv_1/mul_
truediv_1/mul_/Output_0/Data_
truediv_1/reciprocal_
truediv_1/reciprocal_/Output_0/Data_
truediv_1/y
truediv_1/y/Output_0/Data_
truediv_2/mul_
truediv_2/mul_/Output_0/Data_
truediv_2/reciprocal_
truediv_2/reciprocal_/Output_0/Data_
truediv_2/y
truediv_2/y/Output_0/Data_
truediv_3/mul_
truediv_3/mul_/Output_0/Data_
truediv_3/reciprocal_
truediv_3/reciprocal_/Output_0/Data_
truediv_3/y
truediv_3/y/Output_0/Data_
[ 2019-05-06 14:55:05,156 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,156 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> will be run after <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'>
[ 2019-05-06 14:55:05,156 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,156 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ConvToBinaryConv.ConvToBinaryConv'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ConvToBinaryConv.ConvToBinaryConv'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> will be run after <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'> will be run after <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'> will be run after <class 'extensions.middle.MXNetRNNSequenceNormalize.MXNetRNNSequenceNormalize'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.Cast.CastToFloatMark'> will be run before <class 'extensions.middle.RemoveIdentity.RemoveIdentity'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.Cast.CastToFloatMark'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.CheckForCycle.CheckForCycle'> will be run after <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> will be run after <class 'extensions.middle.DeleteControlFlowEdges.DeleteControlFlowEdges'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.DeleteNotExecutable.DeleteNotExecutable'> will be run after <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'>
[ 2019-05-06 14:55:05,157 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.MXNetRNNSequenceNormalize.MXNetRNNSequenceNormalize'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.MXNetRNNSequenceNormalize.MXNetRNNSequenceNormalize'> will be run after <class 'extensions.middle.MXNetSplitMultiLayers.MXNetSplitLayersToRNNSequence'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.GRURNNSequenceToTensorIterator.GRUAndRNNToTensorIterator'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.GRURNNSequenceToTensorIterator.GRUAndRNNToTensorIterator'> will be run after <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> will be run after <class 'extensions.middle.DeleteNotExecutable.DeleteNotExecutable'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ChangePlaceholderTypes.ChangePlaceholderTypes'> will be run before <class 'extensions.middle.ScaleInput.ScaleInput'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.L2NormToNorm.L2NormToNorm'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.L2NormToNorm.L2NormToNorm'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveIdentity'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveIdentity'> will be run after <class 'extensions.middle.InputCut.MiddleInputCut'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> will be run after <class 'extensions.middle.GemmToFullyConnected.GemmToFullyConnected'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'> will be run before <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'> will be run after <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.UselessSplitEraser.UselessSplitEraser'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.UselessSplitEraser.UselessSplitEraser'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ReluQuantizeFuse.ReluQuantizeFuse'> will be run before <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'>
[ 2019-05-06 14:55:05,158 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ReluQuantizeFuse.ReluQuantizeFuse'> will be run after <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.TensorIteratorOutput.SimpleOutputMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.TensorIteratorOutput.SimpleOutputMatcher'> will be run before <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.TensorIteratorOutput.SimpleOutputMatcher'> will be run after <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'> will be run after <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.EltwiseChecker.EltwiseChecker'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.EltwiseChecker.EltwiseChecker'> will be run after <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'> will be run after <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> will be run after <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveNodesWithZeroPhase'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveNodesWithZeroPhase'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-05-06 14:55:05,159 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.RemoveRedundantReshapeAfterCropAndResize.RemoveRedundantReshapeAfterCropAndResize'> will be run after <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ScaleInput.ScaleInput'> will be run before <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ScaleInput.ScaleInput'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.NasNet.NasNet'> will be run after <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveDropout'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveDropout'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'> will be run after <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMatcher'> will be run after <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.DeleteControlFlowEdges.DeleteControlFlowEdges'> will be run after <class 'extensions.middle.PartialInfer.PartialInfer'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> will be run after <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.CustomSubgraphCall.CustomSubgraphCall'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.CustomSubgraphCall.CustomSubgraphCall'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.MXNetSplitMultiLayers.MXNetSplitLayersToRNNSequence'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.MXNetSplitMultiLayers.MXNetSplitLayersToRNNSequence'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,160 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'> will be run after <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.DepthToSpace.DepthToSpace'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.DepthToSpace.DepthToSpace'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'> will be run before <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'> will be run before <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.UselessMerge.UselessMergeEraser'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.UselessMerge.UselessMergeEraser'> will be run after <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> will be run after <class 'extensions.middle.TensorIterator_utils.DeleteSelect'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.MeanToAvgPool.MeanToAvgPool'> will be run after <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ReverseV2ToReverseSequence.ReverseToReverseSequence'> will be run before <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ReverseV2ToReverseSequence.ReverseToReverseSequence'> will be run after <class 'extensions.middle.PartialInfer.PartialInfer'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> will be run after <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.InputCut.MiddleInputCut'> will be run before <class 'extensions.middle.ChangePlaceholderTypes.ChangePlaceholderTypes'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.InputCut.MiddleInputCut'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.GemmResolver.GemmResolver'> will be run before <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.GemmResolver.GemmResolver'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,161 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.GemmToFullyConnected.GemmToFullyConnected'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.GemmToFullyConnected.GemmToFullyConnected'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> will be run after <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMatcher'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> will be run before <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> will be run after <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.NormalizePad.NormalizePad'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.NormalizePad.NormalizePad'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.GatherNdNormalizer.GatherNdNormalize'> will be run before <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'>
[ 2019-05-06 14:55:05,162 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.GatherNdNormalizer.GatherNdNormalize'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'> will be run before <class 'extensions.middle.CheckForCycle.CheckForCycle'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'> will be run before <class 'extensions.middle.DeleteNotExecutable.DeleteNotExecutable'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'> will be run after <class 'extensions.middle.DeleteControlFlowEdges.DeleteControlFlowEdges'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ConvertMultiInputConv.ConvertMultiInputConv'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ConvertMultiInputConv.ConvertMultiInputConv'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'> will be run before <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'> will be run after <class 'extensions.middle.CheckForCycle.CheckForCycle'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.DilatedConvolution.DilatedConvolutionConverter'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.DilatedConvolution.DilatedConvolutionConverter'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.ShuffleChannel.ShuffleChannel'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.ShuffleChannel.ShuffleChannel'> will be run after <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.Reduce.ReduceReplacer'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.Reduce.ReduceReplacer'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.SliceConverter.ConvertSlice'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.SliceConverter.ConvertSlice'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:135 ]  Replacer <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2019-05-06 14:55:05,163 ] [ DEBUG ] [ class_registration:138 ]  Replacer <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:05,164 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.PartialInfer.PartialInfer'>
[ 2019-05-06 14:55:05,170 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,171 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/Const_4
[ 2019-05-06 14:55:05,171 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,171 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,171 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,171 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,171 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,171 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_22/kernel
[ 2019-05-06 14:55:05,171 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,171 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,171 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,172 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1   1 256  18], value = [[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578
     0.01742826]
   [ 0.0904...
[ 2019-05-06 14:55:05,172 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,172 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_22/kernel/read
[ 2019-05-06 14:55:05,172 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,172 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,173 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1   1 256  18], value = [[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578
     0.01742826]
   [ 0.0904...
[ 2019-05-06 14:55:05,173 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,174 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1   1 256  18], value = [[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578
     0.01742826]
   [ 0.0904...
[ 2019-05-06 14:55:05,174 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,174 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_15/bias
[ 2019-05-06 14:55:05,174 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,174 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,174 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,175 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [18], value = [ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.
 -0.00037405 -0.00642621  0.0043...
[ 2019-05-06 14:55:05,175 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,175 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_15/bias/read
[ 2019-05-06 14:55:05,175 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,175 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,175 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [18], value = [ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.
 -0.00037405 -0.00642621  0.0043...
[ 2019-05-06 14:55:05,175 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,176 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [18], value = [ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.
 -0.00037405 -0.00642621  0.0043...
[ 2019-05-06 14:55:05,176 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,176 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/moving_variance
[ 2019-05-06 14:55:05,176 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,176 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,176 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,177 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117
  0.32663423  0.76400357...
[ 2019-05-06 14:55:05,177 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,177 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/moving_variance/read
[ 2019-05-06 14:55:05,177 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,177 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,178 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [32], value = [ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117
  0.32663423  0.76400357...
[ 2019-05-06 14:55:05,178 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,178 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117
  0.32663423  0.76400357...
[ 2019-05-06 14:55:05,179 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,179 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_1/stack
[ 2019-05-06 14:55:05,179 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,179 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,179 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,179 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1], value = [0]
[ 2019-05-06 14:55:05,179 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,179 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/moving_variance
[ 2019-05-06 14:55:05,179 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,179 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,179 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,180 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811
  2.47939372]
[ 2019-05-06 14:55:05,180 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,180 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/moving_variance/read
[ 2019-05-06 14:55:05,180 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,180 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,180 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [1024], value = [ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811
  2.47939372]
[ 2019-05-06 14:55:05,180 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811
  2.47939372]
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:128 ]  Partial infer for up_sampling2d_1/strided_slice/stack_1
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1], value = [3]
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_2/LeakyRelu/alpha
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,181 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,182 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,182 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,182 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/gamma
[ 2019-05-06 14:55:05,182 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,182 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,182 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,185 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438
  1.03936791  1.0401268 ...
[ 2019-05-06 14:55:05,185 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,185 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/gamma/read
[ 2019-05-06 14:55:05,185 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,185 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,188 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438
  1.03936791  1.0401268 ...
[ 2019-05-06 14:55:05,188 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,191 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438
  1.03936791  1.0401268 ...
[ 2019-05-06 14:55:05,192 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,192 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/moving_mean
[ 2019-05-06 14:55:05,192 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,192 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,192 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,193 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034
 -0.72034597 -1.07681167...
[ 2019-05-06 14:55:05,194 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,194 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/moving_mean/read
[ 2019-05-06 14:55:05,194 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,194 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,195 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034
 -0.72034597 -1.07681167...
[ 2019-05-06 14:55:05,195 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,197 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034
 -0.72034597 -1.07681167...
[ 2019-05-06 14:55:05,197 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,197 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_2/stack
[ 2019-05-06 14:55:05,197 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,197 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,197 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1], value = [0]
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/Const_4
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/Const_5
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,198 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,199 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,199 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,199 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/beta
[ 2019-05-06 14:55:05,199 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,199 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,199 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,200 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02
  -8.93593673e-03  -1.246133...
[ 2019-05-06 14:55:05,201 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,201 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/beta/read
[ 2019-05-06 14:55:05,201 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,201 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,202 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02
  -8.93593673e-03  -1.246133...
[ 2019-05-06 14:55:05,202 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,204 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02
  -8.93593673e-03  -1.246133...
[ 2019-05-06 14:55:05,204 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,204 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_14/LeakyRelu/alpha
[ 2019-05-06 14:55:05,204 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,204 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,204 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,204 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,205 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,205 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/gamma
[ 2019-05-06 14:55:05,205 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,205 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,205 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,211 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112
  0.99868423  1.00274205...
[ 2019-05-06 14:55:05,211 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,211 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/gamma/read
[ 2019-05-06 14:55:05,211 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,212 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,217 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112
  0.99868423  1.00274205...
[ 2019-05-06 14:55:05,218 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,223 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112
  0.99868423  1.00274205...
[ 2019-05-06 14:55:05,223 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,224 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_0/LeakyRelu/alpha
[ 2019-05-06 14:55:05,224 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,224 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,224 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,224 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,224 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,224 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/moving_variance
[ 2019-05-06 14:55:05,224 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,224 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,224 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,225 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926
  0.00541542  0.01795395 ...
[ 2019-05-06 14:55:05,225 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,225 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/moving_variance/read
[ 2019-05-06 14:55:05,225 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,225 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,225 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [16], value = [ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926
  0.00541542  0.01795395 ...
[ 2019-05-06 14:55:05,225 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,226 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926
  0.00541542  0.01795395 ...
[ 2019-05-06 14:55:05,226 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,226 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/beta
[ 2019-05-06 14:55:05,226 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,226 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,226 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,229 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737
 -0.01277605 -0.00646351...
[ 2019-05-06 14:55:05,229 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,229 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/beta/read
[ 2019-05-06 14:55:05,229 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,230 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,233 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737
 -0.01277605 -0.00646351...
[ 2019-05-06 14:55:05,233 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,236 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737
 -0.01277605 -0.00646351...
[ 2019-05-06 14:55:05,236 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,236 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_8/LeakyRelu/alpha
[ 2019-05-06 14:55:05,236 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,236 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,236 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,236 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,236 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,236 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/moving_variance
[ 2019-05-06 14:55:05,236 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,236 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,237 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,240 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204
  26.53437805   3.95586729   7....
[ 2019-05-06 14:55:05,240 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,240 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/moving_variance/read
[ 2019-05-06 14:55:05,240 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,240 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,243 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204
  26.53437805   3.95586729   7....
[ 2019-05-06 14:55:05,243 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,246 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204
  26.53437805   3.95586729   7....
[ 2019-05-06 14:55:05,246 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,246 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_1/stack_2
[ 2019-05-06 14:55:05,246 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,247 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,247 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,247 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1], value = [1]
[ 2019-05-06 14:55:05,247 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,247 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/beta
[ 2019-05-06 14:55:05,247 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,247 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,247 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,253 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03
  -5.75699937e-03  -6.756689...
[ 2019-05-06 14:55:05,253 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,253 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/beta/read
[ 2019-05-06 14:55:05,253 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,253 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,259 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03
  -5.75699937e-03  -6.756689...
[ 2019-05-06 14:55:05,259 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,265 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03
  -5.75699937e-03  -6.756689...
[ 2019-05-06 14:55:05,265 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,265 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_2/stack_2
[ 2019-05-06 14:55:05,265 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,265 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,265 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,265 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1], value = [1]
[ 2019-05-06 14:55:05,265 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,265 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_6/LeakyRelu/alpha
[ 2019-05-06 14:55:05,265 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,266 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,266 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,266 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,266 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,266 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/beta
[ 2019-05-06 14:55:05,266 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,266 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,266 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,272 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02
  -5.72286127e-03   6.627427...
[ 2019-05-06 14:55:05,272 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,272 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/beta/read
[ 2019-05-06 14:55:05,272 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,272 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,278 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02
  -5.72286127e-03   6.627427...
[ 2019-05-06 14:55:05,278 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,284 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02
  -5.72286127e-03   6.627427...
[ 2019-05-06 14:55:05,284 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,284 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/Const_4
[ 2019-05-06 14:55:05,284 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,284 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,284 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,284 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,284 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,284 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/moving_mean
[ 2019-05-06 14:55:05,284 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,284 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,285 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,285 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508
  0.91470778]
[ 2019-05-06 14:55:05,285 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,285 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/moving_mean/read
[ 2019-05-06 14:55:05,285 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,285 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,285 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [1024], value = [-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508
  0.91470778]
[ 2019-05-06 14:55:05,285 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,286 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508
  0.91470778]
[ 2019-05-06 14:55:05,286 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,286 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/Const_5
[ 2019-05-06 14:55:05,286 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,286 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,286 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,286 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,286 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,286 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_18/kernel
[ 2019-05-06 14:55:05,286 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,287 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,287 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,287 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1   1 256 128], value = [[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461
    -0.01837821]
   [ 0.1207...
[ 2019-05-06 14:55:05,287 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,287 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_18/kernel/read
[ 2019-05-06 14:55:05,288 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,288 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,288 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1   1 256 128], value = [[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461
    -0.01837821]
   [ 0.1207...
[ 2019-05-06 14:55:05,288 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,289 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1   1 256 128], value = [[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461
    -0.01837821]
   [ 0.1207...
[ 2019-05-06 14:55:05,289 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,289 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/moving_mean
[ 2019-05-06 14:55:05,289 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,289 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,290 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,291 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173
 -0.32625762  0.28197047...
[ 2019-05-06 14:55:05,291 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,291 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/moving_mean/read
[ 2019-05-06 14:55:05,291 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,292 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,293 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173
 -0.32625762  0.28197047...
[ 2019-05-06 14:55:05,293 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,295 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173
 -0.32625762  0.28197047...
[ 2019-05-06 14:55:05,295 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,295 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/moving_variance
[ 2019-05-06 14:55:05,295 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,295 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,295 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,301 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955
  1.55223727  1.21945345...
[ 2019-05-06 14:55:05,301 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,301 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/moving_variance/read
[ 2019-05-06 14:55:05,301 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,301 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,307 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955
  1.55223727  1.21945345...
[ 2019-05-06 14:55:05,307 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,313 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955
  1.55223727  1.21945345...
[ 2019-05-06 14:55:05,313 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,314 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/beta
[ 2019-05-06 14:55:05,314 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,314 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,314 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,315 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198
  0.00829973 -0.01586396...
[ 2019-05-06 14:55:05,315 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,315 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/beta/read
[ 2019-05-06 14:55:05,315 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,315 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,316 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [64], value = [-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198
  0.00829973 -0.01586396...
[ 2019-05-06 14:55:05,316 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,317 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198
  0.00829973 -0.01586396...
[ 2019-05-06 14:55:05,317 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,317 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/moving_mean
[ 2019-05-06 14:55:05,317 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,317 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,317 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,318 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888
 -0.27744654 -0.48909885...
[ 2019-05-06 14:55:05,318 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,318 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/moving_mean/read
[ 2019-05-06 14:55:05,318 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,318 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,319 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [32], value = [-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888
 -0.27744654 -0.48909885...
[ 2019-05-06 14:55:05,319 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888
 -0.27744654 -0.48909885...
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:128 ]  Partial infer for up_sampling2d_1/Const
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [2], value = [2 2]
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/Const_5
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,320 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,321 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,321 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,321 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_10/kernel
[ 2019-05-06 14:55:05,321 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,321 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,321 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,325 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  3   3 256 512], value = [[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751
    -0.01192628]
   [-0.0111...
[ 2019-05-06 14:55:05,325 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,325 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_10/kernel/read
[ 2019-05-06 14:55:05,325 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,326 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,330 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  3   3 256 512], value = [[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751
    -0.01192628]
   [-0.0111...
[ 2019-05-06 14:55:05,330 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,334 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  3   3 256 512], value = [[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751
    -0.01192628]
   [-0.0111...
[ 2019-05-06 14:55:05,334 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,334 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/Const_4
[ 2019-05-06 14:55:05,334 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,334 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/Const_4
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:128 ]  Partial infer for up_sampling2d_1/strided_slice/stack
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,335 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1], value = [1]
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:128 ]  Partial infer for Placeholder
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:129 ]  Op: Placeholder
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 416 416   3], value = <UNKNOWN>
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/Const_4
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,336 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,337 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,337 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/gamma
[ 2019-05-06 14:55:05,337 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,337 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,337 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,337 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425
  0.99141401  1.06565714...
[ 2019-05-06 14:55:05,337 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,338 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/gamma/read
[ 2019-05-06 14:55:05,338 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,338 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,338 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [16], value = [ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425
  0.99141401  1.06565714...
[ 2019-05-06 14:55:05,338 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425
  0.99141401  1.06565714...
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_13/LeakyRelu/alpha
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/moving_variance
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,339 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,341 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224
  0.70339692  1.55994046...
[ 2019-05-06 14:55:05,341 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,341 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/moving_variance/read
[ 2019-05-06 14:55:05,341 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,341 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,343 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224
  0.70339692  1.55994046...
[ 2019-05-06 14:55:05,343 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,345 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224
  0.70339692  1.55994046...
[ 2019-05-06 14:55:05,345 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,345 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_8/kernel
[ 2019-05-06 14:55:05,345 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,345 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,345 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,349 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  3   3 128 256], value = [[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584
    -0.01086242]
   [ 0.0142...
[ 2019-05-06 14:55:05,349 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,350 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_8/kernel/read
[ 2019-05-06 14:55:05,350 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,350 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,354 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  3   3 128 256], value = [[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584
    -0.01086242]
   [ 0.0142...
[ 2019-05-06 14:55:05,354 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,358 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  3   3 128 256], value = [[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584
    -0.01086242]
   [ 0.0142...
[ 2019-05-06 14:55:05,358 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,358 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/Const_5
[ 2019-05-06 14:55:05,359 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,359 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,359 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,359 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,359 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,359 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/gamma
[ 2019-05-06 14:55:05,359 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,359 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,359 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,365 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868
  0.99123728  0.99665082...
[ 2019-05-06 14:55:05,365 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,365 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/gamma/read
[ 2019-05-06 14:55:05,365 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,365 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,371 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868
  0.99123728  0.99665082...
[ 2019-05-06 14:55:05,371 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,377 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868
  0.99123728  0.99665082...
[ 2019-05-06 14:55:05,377 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,377 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/gamma
[ 2019-05-06 14:55:05,377 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,377 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,377 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,379 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049
  0.99235934  0.99913257...
[ 2019-05-06 14:55:05,379 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,379 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/gamma/read
[ 2019-05-06 14:55:05,379 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,379 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,381 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049
  0.99235934  0.99913257...
[ 2019-05-06 14:55:05,381 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049
  0.99235934  0.99913257...
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_12/LeakyRelu/alpha
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:128 ]  Partial infer for up_sampling2d_1/strided_slice/stack_2
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,383 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1], value = [1]
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_4/LeakyRelu/alpha
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_2/kernel
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,384 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,389 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [ 3  3 16 32], value = [[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936
    -0.08896928]
   [-0.0791...
[ 2019-05-06 14:55:05,389 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,389 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_2/kernel/read
[ 2019-05-06 14:55:05,389 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,389 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,393 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [ 3  3 16 32], value = [[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936
    -0.08896928]
   [-0.0791...
[ 2019-05-06 14:55:05,393 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,397 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [ 3  3 16 32], value = [[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936
    -0.08896928]
   [-0.0791...
[ 2019-05-06 14:55:05,398 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,398 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/beta
[ 2019-05-06 14:55:05,398 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,398 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,398 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,401 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03
   5.03304275e-03   1.672211...
[ 2019-05-06 14:55:05,401 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,401 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/beta/read
[ 2019-05-06 14:55:05,401 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,401 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,404 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03
   5.03304275e-03   1.672211...
[ 2019-05-06 14:55:05,404 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,407 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03
   5.03304275e-03   1.672211...
[ 2019-05-06 14:55:05,407 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,407 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/moving_mean
[ 2019-05-06 14:55:05,408 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,408 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,408 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,411 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806
 -0.88335073  0.04296176...
[ 2019-05-06 14:55:05,411 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,411 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/moving_mean/read
[ 2019-05-06 14:55:05,411 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,411 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,414 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806
 -0.88335073  0.04296176...
[ 2019-05-06 14:55:05,414 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806
 -0.88335073  0.04296176...
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/Const_4
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_14/kernel
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,418 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,423 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  3   3 256 512], value = [[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038
     0.0050709 ]
   [ 0.0148...
[ 2019-05-06 14:55:05,423 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,423 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_14/kernel/read
[ 2019-05-06 14:55:05,423 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,423 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,427 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  3   3 256 512], value = [[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038
     0.0050709 ]
   [ 0.0148...
[ 2019-05-06 14:55:05,427 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,432 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  3   3 256 512], value = [[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038
     0.0050709 ]
   [ 0.0148...
[ 2019-05-06 14:55:05,432 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,432 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/moving_variance
[ 2019-05-06 14:55:05,432 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,432 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,432 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,435 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064
  2.7668972   1.49022686  ...
[ 2019-05-06 14:55:05,435 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,435 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/moving_variance/read
[ 2019-05-06 14:55:05,435 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,436 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,439 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064
  2.7668972   1.49022686  ...
[ 2019-05-06 14:55:05,439 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,442 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064
  2.7668972   1.49022686  ...
[ 2019-05-06 14:55:05,442 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,442 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/Const_5
[ 2019-05-06 14:55:05,442 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,442 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,442 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,442 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,442 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,442 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/moving_mean
[ 2019-05-06 14:55:05,443 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,443 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,443 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,444 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843
 -0.17475446  0.39312187...
[ 2019-05-06 14:55:05,444 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,444 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/moving_mean/read
[ 2019-05-06 14:55:05,444 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,444 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,445 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [64], value = [ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843
 -0.17475446  0.39312187...
[ 2019-05-06 14:55:05,445 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,446 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843
 -0.17475446  0.39312187...
[ 2019-05-06 14:55:05,446 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,446 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/Const_5
[ 2019-05-06 14:55:05,446 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,446 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,446 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,446 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,446 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,446 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_1/stack_1
[ 2019-05-06 14:55:05,447 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,447 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,447 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,447 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1], value = [1]
[ 2019-05-06 14:55:05,447 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,447 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/moving_variance
[ 2019-05-06 14:55:05,447 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,447 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,447 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,448 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714
  0.31071305  0.55635059...
[ 2019-05-06 14:55:05,448 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,448 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/moving_variance/read
[ 2019-05-06 14:55:05,448 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,448 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,449 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [64], value = [ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714
  0.31071305  0.55635059...
[ 2019-05-06 14:55:05,449 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,450 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714
  0.31071305  0.55635059...
[ 2019-05-06 14:55:05,450 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,451 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/moving_variance
[ 2019-05-06 14:55:05,451 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,451 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,451 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,454 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004
  0.56715643  0.75836837...
[ 2019-05-06 14:55:05,454 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,454 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/moving_variance/read
[ 2019-05-06 14:55:05,454 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,454 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,457 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004
  0.56715643  0.75836837...
[ 2019-05-06 14:55:05,457 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,460 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004
  0.56715643  0.75836837...
[ 2019-05-06 14:55:05,460 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,461 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/beta
[ 2019-05-06 14:55:05,461 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,461 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,461 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,462 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03
   4.34156694e-03   6.537492...
[ 2019-05-06 14:55:05,462 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,463 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/beta/read
[ 2019-05-06 14:55:05,463 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,463 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,464 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03
   4.34156694e-03   6.537492...
[ 2019-05-06 14:55:05,464 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,466 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03
   4.34156694e-03   6.537492...
[ 2019-05-06 14:55:05,466 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,466 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_10/LeakyRelu/alpha
[ 2019-05-06 14:55:05,466 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,466 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,466 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,466 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,466 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,467 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/Const_4
[ 2019-05-06 14:55:05,467 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,467 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,467 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,467 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,467 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,467 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/moving_variance
[ 2019-05-06 14:55:05,467 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,467 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,467 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,473 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748
   0.76983762   2.25302553   2....
[ 2019-05-06 14:55:05,473 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,473 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/moving_variance/read
[ 2019-05-06 14:55:05,473 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,473 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,479 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748
   0.76983762   2.25302553   2....
[ 2019-05-06 14:55:05,479 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,485 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748
   0.76983762   2.25302553   2....
[ 2019-05-06 14:55:05,485 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,485 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_6/kernel
[ 2019-05-06 14:55:05,485 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,485 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,485 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,490 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  3   3  64 128], value = [[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,
      4.82206568e-02   4.84746732e-02...
[ 2019-05-06 14:55:05,490 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,490 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_6/kernel/read
[ 2019-05-06 14:55:05,490 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,490 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,494 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  3   3  64 128], value = [[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,
      4.82206568e-02   4.84746732e-02...
[ 2019-05-06 14:55:05,494 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,498 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  3   3  64 128], value = [[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,
      4.82206568e-02   4.84746732e-02...
[ 2019-05-06 14:55:05,498 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,498 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_2/stack_1
[ 2019-05-06 14:55:05,498 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1], value = [1]
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/Const_5
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/beta
[ 2019-05-06 14:55:05,499 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,500 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,500 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,500 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075
  0.00689642  0.05855059...
[ 2019-05-06 14:55:05,500 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,500 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/beta/read
[ 2019-05-06 14:55:05,500 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,501 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,501 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [32], value = [ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075
  0.00689642  0.05855059...
[ 2019-05-06 14:55:05,501 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,502 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075
  0.00689642  0.05855059...
[ 2019-05-06 14:55:05,502 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,502 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/moving_mean
[ 2019-05-06 14:55:05,502 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,502 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,502 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,502 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342
 -0.12447102 -0.32912129...
[ 2019-05-06 14:55:05,503 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,503 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/moving_mean/read
[ 2019-05-06 14:55:05,503 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,503 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,503 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [16], value = [-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342
 -0.12447102 -0.32912129...
[ 2019-05-06 14:55:05,503 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,504 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342
 -0.12447102 -0.32912129...
[ 2019-05-06 14:55:05,504 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,504 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_0/kernel
[ 2019-05-06 14:55:05,504 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,504 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,504 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,509 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [ 3  3  3 16], value = [[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927
    -0.00402463  0.15...
[ 2019-05-06 14:55:05,510 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,510 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_0/kernel/read
[ 2019-05-06 14:55:05,510 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,510 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,515 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [ 3  3  3 16], value = [[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927
    -0.00402463  0.15...
[ 2019-05-06 14:55:05,515 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,520 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [ 3  3  3 16], value = [[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927
    -0.00402463  0.15...
[ 2019-05-06 14:55:05,520 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,520 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_0/convolution
[ 2019-05-06 14:55:05,520 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:05,521 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,521 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 416 416   3], value = <UNKNOWN>
[ 2019-05-06 14:55:05,526 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [ 3  3  3 16], value = [[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927
    -0.00402463  0.15...
[ 2019-05-06 14:55:05,526 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,526 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,526 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,526 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_22/bias
[ 2019-05-06 14:55:05,526 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,527 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,527 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,527 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [18], value = [-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.
  0.00208769 -0.00432897  0.0030...
[ 2019-05-06 14:55:05,527 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,527 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_22/bias/read
[ 2019-05-06 14:55:05,527 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,527 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,528 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [18], value = [-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.
  0.00208769 -0.00432897  0.0030...
[ 2019-05-06 14:55:05,528 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,528 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [18], value = [-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.
  0.00208769 -0.00432897  0.0030...
[ 2019-05-06 14:55:05,528 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,529 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/gamma
[ 2019-05-06 14:55:05,529 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,529 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,529 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,529 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762
  0.99444783]
[ 2019-05-06 14:55:05,529 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,529 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/gamma/read
[ 2019-05-06 14:55:05,529 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,529 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,530 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [1024], value = [ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762
  0.99444783]
[ 2019-05-06 14:55:05,530 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,530 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762
  0.99444783]
[ 2019-05-06 14:55:05,530 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,530 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/Const_4
[ 2019-05-06 14:55:05,530 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,530 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,530 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,530 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,531 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,531 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/gamma
[ 2019-05-06 14:55:05,531 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,531 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,531 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,534 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417
  0.98795962  1.01009965...
[ 2019-05-06 14:55:05,534 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,534 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/gamma/read
[ 2019-05-06 14:55:05,534 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,534 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,537 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417
  0.98795962  1.01009965...
[ 2019-05-06 14:55:05,537 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,540 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417
  0.98795962  1.01009965...
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/keras_learning_phase/input
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/keras_learning_phase
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:129 ]  Op: PlaceholderWithDefault
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,541 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,542 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,542 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/cond/pred_id
[ 2019-05-06 14:55:05,542 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,542 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,542 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,542 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,542 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,542 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,542 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/cond/FusedBatchNorm/Switch_2
[ 2019-05-06 14:55:05,542 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,542 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,544 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03
   4.34156694e-03   6.537492...
[ 2019-05-06 14:55:05,544 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,544 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,546 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03
   4.34156694e-03   6.537492...
[ 2019-05-06 14:55:05,546 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,546 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/cond/FusedBatchNorm/Switch_3
[ 2019-05-06 14:55:05,546 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,546 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,548 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173
 -0.32625762  0.28197047...
[ 2019-05-06 14:55:05,548 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,548 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,550 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173
 -0.32625762  0.28197047...
[ 2019-05-06 14:55:05,550 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,550 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/cond/pred_id
[ 2019-05-06 14:55:05,550 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,550 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,550 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,550 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,550 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,550 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,550 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/cond/FusedBatchNorm/Switch_1
[ 2019-05-06 14:55:05,550 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,551 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,554 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438
  1.03936791  1.0401268 ...
[ 2019-05-06 14:55:05,554 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,554 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,557 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438
  1.03936791  1.0401268 ...
[ 2019-05-06 14:55:05,557 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,557 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/cond/FusedBatchNorm/Switch_4
[ 2019-05-06 14:55:05,557 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,557 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,560 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204
  26.53437805   3.95586729   7....
[ 2019-05-06 14:55:05,560 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,560 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,563 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204
  26.53437805   3.95586729   7....
[ 2019-05-06 14:55:05,564 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,564 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/cond/pred_id
[ 2019-05-06 14:55:05,564 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,564 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,564 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,564 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,564 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,564 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,564 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/cond/FusedBatchNorm/Switch_4
[ 2019-05-06 14:55:05,564 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,564 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,567 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064
  2.7668972   1.49022686  ...
[ 2019-05-06 14:55:05,568 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,568 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,571 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064
  2.7668972   1.49022686  ...
[ 2019-05-06 14:55:05,571 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,571 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/cond/FusedBatchNorm/Switch_2
[ 2019-05-06 14:55:05,571 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,571 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,574 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03
   5.03304275e-03   1.672211...
[ 2019-05-06 14:55:05,574 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,574 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,577 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03
   5.03304275e-03   1.672211...
[ 2019-05-06 14:55:05,577 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,577 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/cond/pred_id
[ 2019-05-06 14:55:05,577 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,578 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,578 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,578 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,578 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,578 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,578 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/cond/FusedBatchNorm/Switch_2
[ 2019-05-06 14:55:05,578 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,578 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,579 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [32], value = [ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075
  0.00689642  0.05855059...
[ 2019-05-06 14:55:05,579 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,579 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,579 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075
  0.00689642  0.05855059...
[ 2019-05-06 14:55:05,580 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,580 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/cond/FusedBatchNorm/Switch_4
[ 2019-05-06 14:55:05,580 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,580 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,581 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [32], value = [ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117
  0.32663423  0.76400357...
[ 2019-05-06 14:55:05,581 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,581 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,581 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117
  0.32663423  0.76400357...
[ 2019-05-06 14:55:05,581 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,581 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/cond/FusedBatchNorm/Switch_3
[ 2019-05-06 14:55:05,581 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,582 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,582 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [32], value = [-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888
 -0.27744654 -0.48909885...
[ 2019-05-06 14:55:05,582 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,582 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,583 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888
 -0.27744654 -0.48909885...
[ 2019-05-06 14:55:05,583 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,583 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/cond/pred_id
[ 2019-05-06 14:55:05,583 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,583 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,583 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,583 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,583 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,584 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,584 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/cond/FusedBatchNorm/Switch_3
[ 2019-05-06 14:55:05,584 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,584 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,585 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [64], value = [ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843
 -0.17475446  0.39312187...
[ 2019-05-06 14:55:05,585 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,585 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,586 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843
 -0.17475446  0.39312187...
[ 2019-05-06 14:55:05,586 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,586 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/cond/FusedBatchNorm/Switch_4
[ 2019-05-06 14:55:05,586 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,586 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,587 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [64], value = [ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714
  0.31071305  0.55635059...
[ 2019-05-06 14:55:05,587 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,587 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,588 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714
  0.31071305  0.55635059...
[ 2019-05-06 14:55:05,588 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,588 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/cond/FusedBatchNorm/Switch_2
[ 2019-05-06 14:55:05,588 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,589 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,590 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [64], value = [-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198
  0.00829973 -0.01586396...
[ 2019-05-06 14:55:05,590 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,590 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,591 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198
  0.00829973 -0.01586396...
[ 2019-05-06 14:55:05,591 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,591 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/cond/pred_id
[ 2019-05-06 14:55:05,591 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,591 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,591 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,591 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,591 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,591 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,591 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/cond/FusedBatchNorm/Switch_1
[ 2019-05-06 14:55:05,591 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,592 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,592 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [1024], value = [ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762
  0.99444783]
[ 2019-05-06 14:55:05,592 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,592 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,592 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762
  0.99444783]
[ 2019-05-06 14:55:05,592 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,592 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/cond/FusedBatchNorm/Switch_3
[ 2019-05-06 14:55:05,593 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,593 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,593 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [1024], value = [-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508
  0.91470778]
[ 2019-05-06 14:55:05,593 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,593 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,593 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508
  0.91470778]
[ 2019-05-06 14:55:05,594 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,594 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/cond/FusedBatchNorm/Switch_4
[ 2019-05-06 14:55:05,594 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,594 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,594 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [1024], value = [ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811
  2.47939372]
[ 2019-05-06 14:55:05,594 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,594 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,594 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811
  2.47939372]
[ 2019-05-06 14:55:05,595 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,595 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/cond/pred_id
[ 2019-05-06 14:55:05,595 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,595 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,595 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,595 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,595 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,595 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,595 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/cond/FusedBatchNorm/Switch_2
[ 2019-05-06 14:55:05,595 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,596 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,599 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737
 -0.01277605 -0.00646351...
[ 2019-05-06 14:55:05,599 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,599 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,602 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737
 -0.01277605 -0.00646351...
[ 2019-05-06 14:55:05,602 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,602 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/cond/FusedBatchNorm/Switch_1
[ 2019-05-06 14:55:05,602 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,602 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,605 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417
  0.98795962  1.01009965...
[ 2019-05-06 14:55:05,605 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,605 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,608 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417
  0.98795962  1.01009965...
[ 2019-05-06 14:55:05,609 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,609 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/cond/FusedBatchNorm/Switch_4
[ 2019-05-06 14:55:05,609 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,609 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,612 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004
  0.56715643  0.75836837...
[ 2019-05-06 14:55:05,612 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,612 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,615 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004
  0.56715643  0.75836837...
[ 2019-05-06 14:55:05,615 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,615 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/cond/FusedBatchNorm/Switch_3
[ 2019-05-06 14:55:05,615 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,616 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,619 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806
 -0.88335073  0.04296176...
[ 2019-05-06 14:55:05,619 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,619 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,622 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806
 -0.88335073  0.04296176...
[ 2019-05-06 14:55:05,622 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,622 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/cond/pred_id
[ 2019-05-06 14:55:05,622 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,622 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,622 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,622 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,622 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,623 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,623 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/cond/FusedBatchNorm/Switch_1
[ 2019-05-06 14:55:05,623 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,623 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,629 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868
  0.99123728  0.99665082...
[ 2019-05-06 14:55:05,629 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,629 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,635 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868
  0.99123728  0.99665082...
[ 2019-05-06 14:55:05,635 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,635 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/cond/FusedBatchNorm/Switch_4
[ 2019-05-06 14:55:05,635 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,635 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,641 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748
   0.76983762   2.25302553   2....
[ 2019-05-06 14:55:05,641 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,641 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,647 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748
   0.76983762   2.25302553   2....
[ 2019-05-06 14:55:05,647 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,647 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/cond/FusedBatchNorm/Switch_2
[ 2019-05-06 14:55:05,647 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,648 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,654 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02
  -5.72286127e-03   6.627427...
[ 2019-05-06 14:55:05,654 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,654 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,659 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02
  -5.72286127e-03   6.627427...
[ 2019-05-06 14:55:05,659 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,659 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/cond/pred_id
[ 2019-05-06 14:55:05,659 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,660 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,660 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,660 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,660 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,660 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,660 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/cond/FusedBatchNorm/Switch_3
[ 2019-05-06 14:55:05,660 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,660 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,662 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034
 -0.72034597 -1.07681167...
[ 2019-05-06 14:55:05,662 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,662 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,664 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034
 -0.72034597 -1.07681167...
[ 2019-05-06 14:55:05,664 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,664 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/cond/FusedBatchNorm/Switch_1
[ 2019-05-06 14:55:05,664 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,664 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,666 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049
  0.99235934  0.99913257...
[ 2019-05-06 14:55:05,666 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,666 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,668 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049
  0.99235934  0.99913257...
[ 2019-05-06 14:55:05,668 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,668 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/cond/FusedBatchNorm/Switch_2
[ 2019-05-06 14:55:05,668 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,668 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,670 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02
  -8.93593673e-03  -1.246133...
[ 2019-05-06 14:55:05,670 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,670 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,671 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02
  -8.93593673e-03  -1.246133...
[ 2019-05-06 14:55:05,671 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,671 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/cond/FusedBatchNorm/Switch_4
[ 2019-05-06 14:55:05,672 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,672 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,673 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224
  0.70339692  1.55994046...
[ 2019-05-06 14:55:05,673 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,673 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,675 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224
  0.70339692  1.55994046...
[ 2019-05-06 14:55:05,675 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,675 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/cond/pred_id
[ 2019-05-06 14:55:05,675 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,675 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,676 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,676 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,676 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,676 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,676 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/cond/FusedBatchNorm/Switch_2
[ 2019-05-06 14:55:05,676 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,676 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,682 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03
  -5.75699937e-03  -6.756689...
[ 2019-05-06 14:55:05,682 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,682 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,687 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03
  -5.75699937e-03  -6.756689...
[ 2019-05-06 14:55:05,688 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,688 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/cond/FusedBatchNorm/Switch_1
[ 2019-05-06 14:55:05,688 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,688 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,694 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112
  0.99868423  1.00274205...
[ 2019-05-06 14:55:05,694 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,694 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,700 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112
  0.99868423  1.00274205...
[ 2019-05-06 14:55:05,700 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,700 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/cond/FusedBatchNorm/Switch_4
[ 2019-05-06 14:55:05,700 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,700 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,706 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955
  1.55223727  1.21945345...
[ 2019-05-06 14:55:05,706 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,706 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,712 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955
  1.55223727  1.21945345...
[ 2019-05-06 14:55:05,712 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,712 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/cond/pred_id
[ 2019-05-06 14:55:05,712 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = False
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = False
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,713 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,714 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,714 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/cond/FusedBatchNorm/Switch_4
[ 2019-05-06 14:55:05,714 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,714 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,714 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [16], value = [ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926
  0.00541542  0.01795395 ...
[ 2019-05-06 14:55:05,714 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,714 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,715 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926
  0.00541542  0.01795395 ...
[ 2019-05-06 14:55:05,715 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,715 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/cond/FusedBatchNorm/Switch_1
[ 2019-05-06 14:55:05,715 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,715 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,716 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [16], value = [ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425
  0.99141401  1.06565714...
[ 2019-05-06 14:55:05,716 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,716 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,716 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425
  0.99141401  1.06565714...
[ 2019-05-06 14:55:05,716 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,716 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/cond/FusedBatchNorm/Switch_3
[ 2019-05-06 14:55:05,717 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,717 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,717 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [16], value = [-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342
 -0.12447102 -0.32912129...
[ 2019-05-06 14:55:05,717 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,717 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,718 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342
 -0.12447102 -0.32912129...
[ 2019-05-06 14:55:05,718 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,718 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/moving_mean
[ 2019-05-06 14:55:05,718 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,718 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,718 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,724 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01
  -1.00641644e+00  -3.146047...
[ 2019-05-06 14:55:05,724 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,724 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/moving_mean/read
[ 2019-05-06 14:55:05,724 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,724 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,730 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01
  -1.00641644e+00  -3.146047...
[ 2019-05-06 14:55:05,730 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,736 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01
  -1.00641644e+00  -3.146047...
[ 2019-05-06 14:55:05,736 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,736 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/cond/FusedBatchNorm/Switch_3
[ 2019-05-06 14:55:05,736 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,736 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,742 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01
  -1.00641644e+00  -3.146047...
[ 2019-05-06 14:55:05,742 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,742 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,748 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01
  -1.00641644e+00  -3.146047...
[ 2019-05-06 14:55:05,748 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,748 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_4/kernel
[ 2019-05-06 14:55:05,748 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,748 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,748 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,752 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [ 3  3 32 64], value = [[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377
     0.0047978 ]
   [ 0.0541...
[ 2019-05-06 14:55:05,753 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,753 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_4/kernel/read
[ 2019-05-06 14:55:05,753 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,753 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,757 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [ 3  3 32 64], value = [[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377
     0.0047978 ]
   [ 0.0541...
[ 2019-05-06 14:55:05,757 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,761 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [ 3  3 32 64], value = [[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377
     0.0047978 ]
   [ 0.0541...
[ 2019-05-06 14:55:05,761 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,761 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/gamma
[ 2019-05-06 14:55:05,761 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,762 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,762 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,765 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787
  1.0184232   1.00139511...
[ 2019-05-06 14:55:05,765 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,765 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/gamma/read
[ 2019-05-06 14:55:05,765 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,765 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,768 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787
  1.0184232   1.00139511...
[ 2019-05-06 14:55:05,768 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,771 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787
  1.0184232   1.00139511...
[ 2019-05-06 14:55:05,771 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,771 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/cond/FusedBatchNorm/Switch_1
[ 2019-05-06 14:55:05,771 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,771 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,774 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787
  1.0184232   1.00139511...
[ 2019-05-06 14:55:05,774 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,775 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,777 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787
  1.0184232   1.00139511...
[ 2019-05-06 14:55:05,778 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,778 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_15/kernel
[ 2019-05-06 14:55:05,778 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,778 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,778 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,779 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1   1 512  18], value = [[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431
    -0.05396595]
   [-0.0578...
[ 2019-05-06 14:55:05,779 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,779 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_15/kernel/read
[ 2019-05-06 14:55:05,779 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,779 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,780 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1   1 512  18], value = [[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431
    -0.05396595]
   [-0.0578...
[ 2019-05-06 14:55:05,780 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,780 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1   1 512  18], value = [[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431
    -0.05396595]
   [-0.0578...
[ 2019-05-06 14:55:05,781 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,781 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/Const_5
[ 2019-05-06 14:55:05,781 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,781 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,781 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,781 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,781 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,781 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/moving_mean
[ 2019-05-06 14:55:05,781 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,781 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,781 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,787 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00
   1.78756487e+00  -4.405688...
[ 2019-05-06 14:55:05,787 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,787 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/moving_mean/read
[ 2019-05-06 14:55:05,787 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,787 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,793 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00
   1.78756487e+00  -4.405688...
[ 2019-05-06 14:55:05,793 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,799 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00
   1.78756487e+00  -4.405688...
[ 2019-05-06 14:55:05,799 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,799 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/cond/FusedBatchNorm/Switch_3
[ 2019-05-06 14:55:05,799 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,799 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,805 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [512], value = [ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00
   1.78756487e+00  -4.405688...
[ 2019-05-06 14:55:05,805 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,805 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,811 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [512], value = [ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00
   1.78756487e+00  -4.405688...
[ 2019-05-06 14:55:05,811 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,811 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_13/kernel
[ 2019-05-06 14:55:05,812 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,812 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,812 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,812 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [   1    1 1024  256], value = [[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371
    -0.06485175]
   [-0.0110...
[ 2019-05-06 14:55:05,812 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,813 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_13/kernel/read
[ 2019-05-06 14:55:05,813 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,813 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,813 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [   1    1 1024  256], value = [[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371
    -0.06485175]
   [-0.0110...
[ 2019-05-06 14:55:05,814 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,814 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [   1    1 1024  256], value = [[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371
    -0.06485175]
   [-0.0110...
[ 2019-05-06 14:55:05,814 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,814 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/moving_variance
[ 2019-05-06 14:55:05,814 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,815 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,815 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,816 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251
  0.80013317  0.5101772 ...
[ 2019-05-06 14:55:05,816 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,816 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/moving_variance/read
[ 2019-05-06 14:55:05,816 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,817 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,818 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251
  0.80013317  0.5101772 ...
[ 2019-05-06 14:55:05,818 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,820 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251
  0.80013317  0.5101772 ...
[ 2019-05-06 14:55:05,820 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,820 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/cond/FusedBatchNorm/Switch_4
[ 2019-05-06 14:55:05,820 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,820 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,822 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251
  0.80013317  0.5101772 ...
[ 2019-05-06 14:55:05,822 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,822 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,824 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251
  0.80013317  0.5101772 ...
[ 2019-05-06 14:55:05,824 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,824 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/beta
[ 2019-05-06 14:55:05,824 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,824 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,824 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,824 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214
 -0.00833346]
[ 2019-05-06 14:55:05,825 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,825 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/beta/read
[ 2019-05-06 14:55:05,825 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,825 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,825 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [1024], value = [ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214
 -0.00833346]
[ 2019-05-06 14:55:05,825 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,826 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214
 -0.00833346]
[ 2019-05-06 14:55:05,826 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,826 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/cond/FusedBatchNorm/Switch_2
[ 2019-05-06 14:55:05,826 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,826 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,826 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [1024], value = [ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214
 -0.00833346]
[ 2019-05-06 14:55:05,826 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,826 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,827 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [1024], value = [ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214
 -0.00833346]
[ 2019-05-06 14:55:05,827 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,827 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/gamma
[ 2019-05-06 14:55:05,827 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,827 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,827 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,829 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956
  1.03292513  1.00805879...
[ 2019-05-06 14:55:05,829 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,829 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/gamma/read
[ 2019-05-06 14:55:05,829 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,829 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,831 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956
  1.03292513  1.00805879...
[ 2019-05-06 14:55:05,831 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,832 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956
  1.03292513  1.00805879...
[ 2019-05-06 14:55:05,833 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,833 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/cond/FusedBatchNorm/Switch_1
[ 2019-05-06 14:55:05,833 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,833 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,834 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [128], value = [ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956
  1.03292513  1.00805879...
[ 2019-05-06 14:55:05,835 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,835 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,836 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [128], value = [ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956
  1.03292513  1.00805879...
[ 2019-05-06 14:55:05,836 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,836 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/gamma
[ 2019-05-06 14:55:05,836 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,837 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,837 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,837 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009
  1.00045133  1.08691752...
[ 2019-05-06 14:55:05,837 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,837 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/gamma/read
[ 2019-05-06 14:55:05,837 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,838 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,838 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [32], value = [ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009
  1.00045133  1.08691752...
[ 2019-05-06 14:55:05,838 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,839 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009
  1.00045133  1.08691752...
[ 2019-05-06 14:55:05,839 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,839 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/cond/FusedBatchNorm/Switch_1
[ 2019-05-06 14:55:05,839 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,839 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,840 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [32], value = [ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009
  1.00045133  1.08691752...
[ 2019-05-06 14:55:05,840 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,840 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,840 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [32], value = [ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009
  1.00045133  1.08691752...
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/Const_4
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/Const_5
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,841 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,842 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,842 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_18/LeakyRelu/alpha
[ 2019-05-06 14:55:05,842 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,842 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,842 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,842 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,842 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,842 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_21/kernel
[ 2019-05-06 14:55:05,842 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,842 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,842 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,846 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  3   3 384 256], value = [[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,
      2.70333085e-02   1.90043822e-02...
[ 2019-05-06 14:55:05,846 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,847 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_21/kernel/read
[ 2019-05-06 14:55:05,847 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,847 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,851 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  3   3 384 256], value = [[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,
      2.70333085e-02   1.90043822e-02...
[ 2019-05-06 14:55:05,851 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,855 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  3   3 384 256], value = [[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,
      2.70333085e-02   1.90043822e-02...
[ 2019-05-06 14:55:05,855 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,855 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/moving_mean
[ 2019-05-06 14:55:05,855 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,855 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,856 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,859 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665
 -1.76681507  0.10963236...
[ 2019-05-06 14:55:05,859 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,859 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/moving_mean/read
[ 2019-05-06 14:55:05,859 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,859 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,862 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665
 -1.76681507  0.10963236...
[ 2019-05-06 14:55:05,862 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,865 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665
 -1.76681507  0.10963236...
[ 2019-05-06 14:55:05,865 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,865 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/cond/FusedBatchNorm/Switch_3
[ 2019-05-06 14:55:05,865 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,865 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,868 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665
 -1.76681507  0.10963236...
[ 2019-05-06 14:55:05,869 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,869 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,872 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665
 -1.76681507  0.10963236...
[ 2019-05-06 14:55:05,872 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,872 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/Const_4
[ 2019-05-06 14:55:05,872 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,872 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,872 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,872 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,872 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,872 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/beta
[ 2019-05-06 14:55:05,872 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,873 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,873 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,873 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183
 -0.04512255 -0.04092892...
[ 2019-05-06 14:55:05,873 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,873 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/beta/read
[ 2019-05-06 14:55:05,873 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,873 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,874 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [16], value = [ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183
 -0.04512255 -0.04092892...
[ 2019-05-06 14:55:05,874 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,874 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183
 -0.04512255 -0.04092892...
[ 2019-05-06 14:55:05,874 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,874 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/cond/FusedBatchNorm/Switch_2
[ 2019-05-06 14:55:05,874 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,875 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,875 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [16], value = [ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183
 -0.04512255 -0.04092892...
[ 2019-05-06 14:55:05,875 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,875 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,875 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [16], value = [ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183
 -0.04512255 -0.04092892...
[ 2019-05-06 14:55:05,876 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,876 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/cond/FusedBatchNorm
[ 2019-05-06 14:55:05,876 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:05,876 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,876 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,876 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [16], value = [ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425
  0.99141401  1.06565714...
[ 2019-05-06 14:55:05,877 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [16], value = [ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183
 -0.04512255 -0.04092892...
[ 2019-05-06 14:55:05,877 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [16], value = [-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342
 -0.12447102 -0.32912129...
[ 2019-05-06 14:55:05,877 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [16], value = [ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926
  0.00541542  0.01795395 ...
[ 2019-05-06 14:55:05,877 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,878 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,878 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,878 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/FusedBatchNorm
[ 2019-05-06 14:55:05,878 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:05,878 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,878 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,878 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [16], value = [ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425
  0.99141401  1.06565714...
[ 2019-05-06 14:55:05,879 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [16], value = [ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183
 -0.04512255 -0.04092892...
[ 2019-05-06 14:55:05,879 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [0], value = []
[ 2019-05-06 14:55:05,879 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [0], value = []
[ 2019-05-06 14:55:05,879 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,879 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,879 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,879 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/cond/Switch_1
[ 2019-05-06 14:55:05,879 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,879 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,880 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,880 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,880 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,880 ] [ DEBUG ] [ infer:34 ]  output[1]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,880 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,880 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_0/cond/Merge
[ 2019-05-06 14:55:05,880 ] [ DEBUG ] [ infer:129 ]  Op: Merge
[ 2019-05-06 14:55:05,880 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,880 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,880 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,881 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,881 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,881 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,881 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_0/LeakyRelu/mul
[ 2019-05-06 14:55:05,881 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:05,881 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,881 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,881 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,881 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,881 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,881 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,882 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_0/LeakyRelu
[ 2019-05-06 14:55:05,882 ] [ DEBUG ] [ infer:129 ]  Op: Maximum
[ 2019-05-06 14:55:05,882 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,882 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,882 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,882 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,882 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,882 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,882 ] [ DEBUG ] [ infer:128 ]  Partial infer for max_1/MaxPool
[ 2019-05-06 14:55:05,882 ] [ DEBUG ] [ infer:129 ]  Op: MaxPool
[ 2019-05-06 14:55:05,883 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,883 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 416 416  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,883 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,883 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 208 208  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,883 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,883 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_2/convolution
[ 2019-05-06 14:55:05,883 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:05,884 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,884 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 208 208  16], value = <UNKNOWN>
[ 2019-05-06 14:55:05,888 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [ 3  3 16 32], value = [[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936
    -0.08896928]
   [-0.0791...
[ 2019-05-06 14:55:05,888 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,888 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,888 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,888 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/FusedBatchNorm
[ 2019-05-06 14:55:05,888 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:05,889 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,889 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,889 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [32], value = [ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009
  1.00045133  1.08691752...
[ 2019-05-06 14:55:05,890 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [32], value = [ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075
  0.00689642  0.05855059...
[ 2019-05-06 14:55:05,890 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [0], value = []
[ 2019-05-06 14:55:05,890 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [0], value = []
[ 2019-05-06 14:55:05,890 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,890 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,890 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,890 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/cond/Switch_1
[ 2019-05-06 14:55:05,890 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,891 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,891 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,891 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,891 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,891 ] [ DEBUG ] [ infer:34 ]  output[1]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,891 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,891 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:05,891 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,891 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,891 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,891 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,892 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,892 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,892 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,892 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/cond/FusedBatchNorm
[ 2019-05-06 14:55:05,892 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:05,892 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,892 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,893 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [32], value = [ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009
  1.00045133  1.08691752...
[ 2019-05-06 14:55:05,893 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [32], value = [ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075
  0.00689642  0.05855059...
[ 2019-05-06 14:55:05,894 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [32], value = [-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888
 -0.27744654 -0.48909885...
[ 2019-05-06 14:55:05,894 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [32], value = [ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117
  0.32663423  0.76400357...
[ 2019-05-06 14:55:05,894 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,895 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,895 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,895 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_2/cond/Merge
[ 2019-05-06 14:55:05,895 ] [ DEBUG ] [ infer:129 ]  Op: Merge
[ 2019-05-06 14:55:05,895 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,895 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,895 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,895 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,895 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,895 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,895 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_2/LeakyRelu/mul
[ 2019-05-06 14:55:05,896 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:05,896 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,896 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,896 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,896 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,896 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,896 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,896 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_2/LeakyRelu
[ 2019-05-06 14:55:05,896 ] [ DEBUG ] [ infer:129 ]  Op: Maximum
[ 2019-05-06 14:55:05,896 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,897 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,897 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,897 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,897 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,897 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,897 ] [ DEBUG ] [ infer:128 ]  Partial infer for max_3/MaxPool
[ 2019-05-06 14:55:05,897 ] [ DEBUG ] [ infer:129 ]  Op: MaxPool
[ 2019-05-06 14:55:05,897 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,897 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 208 208  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,897 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,898 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 104 104  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,898 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,898 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_4/convolution
[ 2019-05-06 14:55:05,898 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:05,898 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,898 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 104 104  32], value = <UNKNOWN>
[ 2019-05-06 14:55:05,903 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [ 3  3 32 64], value = [[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377
     0.0047978 ]
   [ 0.0541...
[ 2019-05-06 14:55:05,903 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,903 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,903 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,903 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:05,903 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,903 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,903 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,903 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,903 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,904 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,904 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,904 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_21/LeakyRelu/alpha
[ 2019-05-06 14:55:05,904 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,904 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,904 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,904 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,904 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,904 ] [ DEBUG ] [ infer:128 ]  Partial infer for concatenate_1/concat/axis
[ 2019-05-06 14:55:05,904 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,904 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,905 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,905 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [], value = 3
[ 2019-05-06 14:55:05,905 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,905 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_12/kernel
[ 2019-05-06 14:55:05,905 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,905 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,905 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,909 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [   3    3  512 1024], value = [[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,
     -2.29618065e-02   8.52310844e-03...
[ 2019-05-06 14:55:05,909 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,909 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_12/kernel/read
[ 2019-05-06 14:55:05,909 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,910 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,914 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [   3    3  512 1024], value = [[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,
     -2.29618065e-02   8.52310844e-03...
[ 2019-05-06 14:55:05,914 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,918 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [   3    3  512 1024], value = [[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,
     -2.29618065e-02   8.52310844e-03...
[ 2019-05-06 14:55:05,918 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,918 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/moving_mean
[ 2019-05-06 14:55:05,918 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,918 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,918 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,921 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382
 -0.33564997 -0.90024394...
[ 2019-05-06 14:55:05,921 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,922 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/moving_mean/read
[ 2019-05-06 14:55:05,922 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,922 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,925 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382
 -0.33564997 -0.90024394...
[ 2019-05-06 14:55:05,925 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,928 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382
 -0.33564997 -0.90024394...
[ 2019-05-06 14:55:05,928 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,928 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/cond/FusedBatchNorm/Switch_3
[ 2019-05-06 14:55:05,928 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,928 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,931 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382
 -0.33564997 -0.90024394...
[ 2019-05-06 14:55:05,931 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,931 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,934 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382
 -0.33564997 -0.90024394...
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/Const_5
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/Const_5
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,935 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [0], value = []
[ 2019-05-06 14:55:05,936 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,936 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/beta
[ 2019-05-06 14:55:05,936 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,936 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,936 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,939 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829
  0.06356914  0.05388533...
[ 2019-05-06 14:55:05,939 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,939 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/beta/read
[ 2019-05-06 14:55:05,939 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,939 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,942 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829
  0.06356914  0.05388533...
[ 2019-05-06 14:55:05,942 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,945 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829
  0.06356914  0.05388533...
[ 2019-05-06 14:55:05,946 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,946 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/cond/FusedBatchNorm/Switch_2
[ 2019-05-06 14:55:05,946 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,946 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,949 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [256], value = [ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829
  0.06356914  0.05388533...
[ 2019-05-06 14:55:05,949 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,949 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,952 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [256], value = [ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829
  0.06356914  0.05388533...
[ 2019-05-06 14:55:05,952 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,952 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/gamma
[ 2019-05-06 14:55:05,952 ] [ DEBUG ] [ infer:129 ]  Op: Const
[ 2019-05-06 14:55:05,952 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,952 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,953 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675
  1.0160867   0.96982735...
[ 2019-05-06 14:55:05,953 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,953 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/gamma/read
[ 2019-05-06 14:55:05,954 ] [ DEBUG ] [ infer:129 ]  Op: Identity
[ 2019-05-06 14:55:05,954 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,955 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [64], value = [ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675
  1.0160867   0.96982735...
[ 2019-05-06 14:55:05,955 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,956 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675
  1.0160867   0.96982735...
[ 2019-05-06 14:55:05,956 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,956 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/FusedBatchNorm
[ 2019-05-06 14:55:05,956 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:05,956 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,956 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,957 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [64], value = [ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675
  1.0160867   0.96982735...
[ 2019-05-06 14:55:05,958 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [64], value = [-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198
  0.00829973 -0.01586396...
[ 2019-05-06 14:55:05,958 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [0], value = []
[ 2019-05-06 14:55:05,958 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [0], value = []
[ 2019-05-06 14:55:05,958 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,958 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,958 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,958 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/cond/Switch_1
[ 2019-05-06 14:55:05,958 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,959 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,959 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,959 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,959 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,959 ] [ DEBUG ] [ infer:34 ]  output[1]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,959 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,959 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/cond/FusedBatchNorm/Switch_1
[ 2019-05-06 14:55:05,959 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,959 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,960 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [64], value = [ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675
  1.0160867   0.96982735...
[ 2019-05-06 14:55:05,960 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,960 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,961 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [64], value = [ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675
  1.0160867   0.96982735...
[ 2019-05-06 14:55:05,961 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,962 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/cond/FusedBatchNorm
[ 2019-05-06 14:55:05,962 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:05,962 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,962 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,963 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [64], value = [ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675
  1.0160867   0.96982735...
[ 2019-05-06 14:55:05,964 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [64], value = [-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198
  0.00829973 -0.01586396...
[ 2019-05-06 14:55:05,965 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [64], value = [ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843
 -0.17475446  0.39312187...
[ 2019-05-06 14:55:05,966 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [64], value = [ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714
  0.31071305  0.55635059...
[ 2019-05-06 14:55:05,966 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,966 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,966 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,966 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_4/cond/Merge
[ 2019-05-06 14:55:05,966 ] [ DEBUG ] [ infer:129 ]  Op: Merge
[ 2019-05-06 14:55:05,966 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,966 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,966 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,966 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_4/LeakyRelu/mul
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_4/LeakyRelu
[ 2019-05-06 14:55:05,967 ] [ DEBUG ] [ infer:129 ]  Op: Maximum
[ 2019-05-06 14:55:05,968 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,968 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,968 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,968 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,968 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,968 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,968 ] [ DEBUG ] [ infer:128 ]  Partial infer for max_5/MaxPool
[ 2019-05-06 14:55:05,968 ] [ DEBUG ] [ infer:129 ]  Op: MaxPool
[ 2019-05-06 14:55:05,968 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,969 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1 104 104  64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,969 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,969 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [ 1 52 52 64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,969 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,969 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_6/convolution
[ 2019-05-06 14:55:05,969 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:05,970 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,970 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [ 1 52 52 64], value = <UNKNOWN>
[ 2019-05-06 14:55:05,974 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  3   3  64 128], value = [[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,
      4.82206568e-02   4.84746732e-02...
[ 2019-05-06 14:55:05,974 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,974 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,974 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,974 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/FusedBatchNorm
[ 2019-05-06 14:55:05,974 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:05,974 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,974 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,976 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [128], value = [ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049
  0.99235934  0.99913257...
[ 2019-05-06 14:55:05,978 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [128], value = [ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02
  -8.93593673e-03  -1.246133...
[ 2019-05-06 14:55:05,978 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [0], value = []
[ 2019-05-06 14:55:05,978 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [0], value = []
[ 2019-05-06 14:55:05,978 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,978 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,978 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,978 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/cond/Switch_1
[ 2019-05-06 14:55:05,978 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,978 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,979 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,979 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,979 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,979 ] [ DEBUG ] [ infer:34 ]  output[1]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,979 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,979 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:05,979 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,979 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,979 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,979 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,979 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,980 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,980 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,980 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/cond/FusedBatchNorm
[ 2019-05-06 14:55:05,980 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:05,980 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,980 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,982 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [128], value = [ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049
  0.99235934  0.99913257...
[ 2019-05-06 14:55:05,983 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [128], value = [ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02
  -8.93593673e-03  -1.246133...
[ 2019-05-06 14:55:05,985 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [128], value = [ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034
 -0.72034597 -1.07681167...
[ 2019-05-06 14:55:05,986 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [128], value = [ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224
  0.70339692  1.55994046...
[ 2019-05-06 14:55:05,986 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,986 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,987 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,987 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_6/cond/Merge
[ 2019-05-06 14:55:05,987 ] [ DEBUG ] [ infer:129 ]  Op: Merge
[ 2019-05-06 14:55:05,987 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,987 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,987 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,987 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,987 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,987 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,987 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_6/LeakyRelu/mul
[ 2019-05-06 14:55:05,988 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:05,988 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,988 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:05,988 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,988 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,988 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,988 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,988 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_6/LeakyRelu
[ 2019-05-06 14:55:05,988 ] [ DEBUG ] [ infer:129 ]  Op: Maximum
[ 2019-05-06 14:55:05,988 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,989 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,989 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,989 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,989 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,989 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,989 ] [ DEBUG ] [ infer:128 ]  Partial infer for max_7/MaxPool
[ 2019-05-06 14:55:05,989 ] [ DEBUG ] [ infer:129 ]  Op: MaxPool
[ 2019-05-06 14:55:05,989 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,989 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  52  52 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,989 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,990 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,990 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,990 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_8/convolution
[ 2019-05-06 14:55:05,990 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:05,990 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,990 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 128], value = <UNKNOWN>
[ 2019-05-06 14:55:05,995 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  3   3 128 256], value = [[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584
    -0.01086242]
   [ 0.0142...
[ 2019-05-06 14:55:05,995 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,995 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:05,995 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,995 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:05,995 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:05,995 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,995 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:05,995 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:05,995 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:05,996 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:05,996 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:05,996 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/cond/FusedBatchNorm
[ 2019-05-06 14:55:05,996 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:05,996 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:05,996 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:05,999 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [256], value = [ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417
  0.98795962  1.01009965...
[ 2019-05-06 14:55:06,002 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [256], value = [-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737
 -0.01277605 -0.00646351...
[ 2019-05-06 14:55:06,005 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [256], value = [-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806
 -0.88335073  0.04296176...
[ 2019-05-06 14:55:06,008 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [256], value = [ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004
  0.56715643  0.75836837...
[ 2019-05-06 14:55:06,008 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,008 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,008 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,009 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/FusedBatchNorm
[ 2019-05-06 14:55:06,009 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,009 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,009 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,012 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [256], value = [ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417
  0.98795962  1.01009965...
[ 2019-05-06 14:55:06,015 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [256], value = [-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737
 -0.01277605 -0.00646351...
[ 2019-05-06 14:55:06,015 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [0], value = []
[ 2019-05-06 14:55:06,015 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [0], value = []
[ 2019-05-06 14:55:06,015 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,015 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,016 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,016 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/cond/Switch_1
[ 2019-05-06 14:55:06,016 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,016 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,016 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,016 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,016 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,016 ] [ DEBUG ] [ infer:34 ]  output[1]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,016 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,016 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_8/cond/Merge
[ 2019-05-06 14:55:06,016 ] [ DEBUG ] [ infer:129 ]  Op: Merge
[ 2019-05-06 14:55:06,017 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,017 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,017 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,017 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,017 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,017 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,017 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_8/LeakyRelu/mul
[ 2019-05-06 14:55:06,017 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:06,017 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,017 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:06,018 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,018 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,018 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,018 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,018 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_8/LeakyRelu
[ 2019-05-06 14:55:06,018 ] [ DEBUG ] [ infer:129 ]  Op: Maximum
[ 2019-05-06 14:55:06,018 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,018 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,018 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,018 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,018 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,019 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,019 ] [ DEBUG ] [ infer:128 ]  Partial infer for max_9/MaxPool
[ 2019-05-06 14:55:06,019 ] [ DEBUG ] [ infer:129 ]  Op: MaxPool
[ 2019-05-06 14:55:06,019 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,019 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,019 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,019 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,019 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,019 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_10/convolution
[ 2019-05-06 14:55:06,019 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:06,020 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,020 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,024 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  3   3 256 512], value = [[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751
    -0.01192628]
   [-0.0111...
[ 2019-05-06 14:55:06,024 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,025 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,025 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,025 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:06,025 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,025 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,025 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,025 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,025 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,025 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,025 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,025 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/cond/FusedBatchNorm
[ 2019-05-06 14:55:06,026 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,026 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,026 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,032 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [512], value = [ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112
  0.99868423  1.00274205...
[ 2019-05-06 14:55:06,037 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [512], value = [ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03
  -5.75699937e-03  -6.756689...
[ 2019-05-06 14:55:06,043 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [512], value = [ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01
  -1.00641644e+00  -3.146047...
[ 2019-05-06 14:55:06,049 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [512], value = [ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955
  1.55223727  1.21945345...
[ 2019-05-06 14:55:06,049 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,049 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,049 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,049 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/FusedBatchNorm
[ 2019-05-06 14:55:06,050 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,050 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,050 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,056 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [512], value = [ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112
  0.99868423  1.00274205...
[ 2019-05-06 14:55:06,061 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [512], value = [ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03
  -5.75699937e-03  -6.756689...
[ 2019-05-06 14:55:06,061 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [0], value = []
[ 2019-05-06 14:55:06,061 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [0], value = []
[ 2019-05-06 14:55:06,061 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,062 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,062 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,062 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/cond/Switch_1
[ 2019-05-06 14:55:06,062 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,062 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,062 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,062 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,062 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,062 ] [ DEBUG ] [ infer:34 ]  output[1]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,063 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,063 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_10/cond/Merge
[ 2019-05-06 14:55:06,063 ] [ DEBUG ] [ infer:129 ]  Op: Merge
[ 2019-05-06 14:55:06,063 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,063 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,063 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,063 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,063 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,063 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,063 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_10/LeakyRelu/mul
[ 2019-05-06 14:55:06,064 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:06,064 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,064 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:06,064 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,064 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,064 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,064 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,064 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_10/LeakyRelu
[ 2019-05-06 14:55:06,064 ] [ DEBUG ] [ infer:129 ]  Op: Maximum
[ 2019-05-06 14:55:06,064 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,065 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,065 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,065 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,065 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,065 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,065 ] [ DEBUG ] [ infer:128 ]  Partial infer for max_11/MaxPool
[ 2019-05-06 14:55:06,065 ] [ DEBUG ] [ infer:129 ]  Op: MaxPool
[ 2019-05-06 14:55:06,065 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,065 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,065 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,066 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,066 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,066 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_12/convolution
[ 2019-05-06 14:55:06,066 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:06,066 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,066 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,071 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [   3    3  512 1024], value = [[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,
     -2.29618065e-02   8.52310844e-03...
[ 2019-05-06 14:55:06,071 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,071 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,071 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,071 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:06,071 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,071 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,071 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,071 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,071 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,072 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,072 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,072 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/cond/FusedBatchNorm
[ 2019-05-06 14:55:06,072 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,072 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,072 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,072 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [1024], value = [ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762
  0.99444783]
[ 2019-05-06 14:55:06,073 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [1024], value = [ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214
 -0.00833346]
[ 2019-05-06 14:55:06,073 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [1024], value = [-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508
  0.91470778]
[ 2019-05-06 14:55:06,073 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [1024], value = [ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811
  2.47939372]
[ 2019-05-06 14:55:06,073 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,073 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,073 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,073 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/FusedBatchNorm
[ 2019-05-06 14:55:06,073 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,074 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,074 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,074 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [1024], value = [ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762
  0.99444783]
[ 2019-05-06 14:55:06,074 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [1024], value = [ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214
 -0.00833346]
[ 2019-05-06 14:55:06,074 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [0], value = []
[ 2019-05-06 14:55:06,074 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [0], value = []
[ 2019-05-06 14:55:06,074 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,075 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,075 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,075 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/cond/Switch_1
[ 2019-05-06 14:55:06,075 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,075 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,075 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,075 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,075 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,075 ] [ DEBUG ] [ infer:34 ]  output[1]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,075 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,075 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_12/cond/Merge
[ 2019-05-06 14:55:06,076 ] [ DEBUG ] [ infer:129 ]  Op: Merge
[ 2019-05-06 14:55:06,076 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,076 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,076 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,076 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,076 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,076 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,076 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_12/LeakyRelu/mul
[ 2019-05-06 14:55:06,076 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:06,077 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,077 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:06,077 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,077 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,077 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,077 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,077 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_12/LeakyRelu
[ 2019-05-06 14:55:06,077 ] [ DEBUG ] [ infer:129 ]  Op: Maximum
[ 2019-05-06 14:55:06,077 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,077 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,077 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,078 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,078 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,078 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,078 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_13/convolution
[ 2019-05-06 14:55:06,078 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:06,078 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,079 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [   1   13   13 1024], value = <UNKNOWN>
[ 2019-05-06 14:55:06,079 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [   1    1 1024  256], value = [[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371
    -0.06485175]
   [-0.0110...
[ 2019-05-06 14:55:06,079 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,079 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,080 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,080 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:06,080 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,080 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,080 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,080 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,080 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,080 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,080 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,080 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/cond/FusedBatchNorm
[ 2019-05-06 14:55:06,080 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,081 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,081 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,084 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [256], value = [ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787
  1.0184232   1.00139511...
[ 2019-05-06 14:55:06,087 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [256], value = [ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03
   5.03304275e-03   1.672211...
[ 2019-05-06 14:55:06,090 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [256], value = [ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665
 -1.76681507  0.10963236...
[ 2019-05-06 14:55:06,093 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [256], value = [ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064
  2.7668972   1.49022686  ...
[ 2019-05-06 14:55:06,093 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,093 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,093 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,093 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/FusedBatchNorm
[ 2019-05-06 14:55:06,093 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,093 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,093 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,096 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [256], value = [ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787
  1.0184232   1.00139511...
[ 2019-05-06 14:55:06,099 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [256], value = [ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03
   5.03304275e-03   1.672211...
[ 2019-05-06 14:55:06,099 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [0], value = []
[ 2019-05-06 14:55:06,100 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [0], value = []
[ 2019-05-06 14:55:06,100 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,100 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,100 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,100 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/cond/Switch_1
[ 2019-05-06 14:55:06,100 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,100 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,100 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,100 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,100 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,101 ] [ DEBUG ] [ infer:34 ]  output[1]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,101 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,101 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_13/cond/Merge
[ 2019-05-06 14:55:06,101 ] [ DEBUG ] [ infer:129 ]  Op: Merge
[ 2019-05-06 14:55:06,101 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,101 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,101 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,101 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,101 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,102 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,102 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_13/LeakyRelu/mul
[ 2019-05-06 14:55:06,102 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:06,102 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,102 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:06,102 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,102 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,102 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,102 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,102 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_13/LeakyRelu
[ 2019-05-06 14:55:06,102 ] [ DEBUG ] [ infer:129 ]  Op: Maximum
[ 2019-05-06 14:55:06,103 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,103 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,103 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,103 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,103 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,103 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,103 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_14/convolution
[ 2019-05-06 14:55:06,103 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:06,104 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,104 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,108 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  3   3 256 512], value = [[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038
     0.0050709 ]
   [ 0.0148...
[ 2019-05-06 14:55:06,108 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,109 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,109 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,109 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:06,109 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,109 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,109 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,109 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,109 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,109 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,109 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,110 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/cond/FusedBatchNorm
[ 2019-05-06 14:55:06,110 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,110 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,110 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,116 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [512], value = [ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868
  0.99123728  0.99665082...
[ 2019-05-06 14:55:06,122 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [512], value = [  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02
  -5.72286127e-03   6.627427...
[ 2019-05-06 14:55:06,127 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [512], value = [ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00
   1.78756487e+00  -4.405688...
[ 2019-05-06 14:55:06,133 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [512], value = [  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748
   0.76983762   2.25302553   2....
[ 2019-05-06 14:55:06,133 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,133 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,133 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,134 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/FusedBatchNorm
[ 2019-05-06 14:55:06,134 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,134 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,134 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,140 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [512], value = [ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868
  0.99123728  0.99665082...
[ 2019-05-06 14:55:06,145 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [512], value = [  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02
  -5.72286127e-03   6.627427...
[ 2019-05-06 14:55:06,145 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [0], value = []
[ 2019-05-06 14:55:06,146 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [0], value = []
[ 2019-05-06 14:55:06,146 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,146 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,146 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,146 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/cond/Switch_1
[ 2019-05-06 14:55:06,146 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,146 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,146 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,146 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,146 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,146 ] [ DEBUG ] [ infer:34 ]  output[1]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,147 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,147 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_14/cond/Merge
[ 2019-05-06 14:55:06,147 ] [ DEBUG ] [ infer:129 ]  Op: Merge
[ 2019-05-06 14:55:06,147 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,147 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,147 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,147 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,147 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,147 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,148 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_14/LeakyRelu/mul
[ 2019-05-06 14:55:06,148 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:06,148 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,148 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:06,148 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,148 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,148 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,148 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,148 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_14/LeakyRelu
[ 2019-05-06 14:55:06,148 ] [ DEBUG ] [ infer:129 ]  Op: Maximum
[ 2019-05-06 14:55:06,148 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,149 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,149 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,149 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,149 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,149 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,149 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_15/convolution
[ 2019-05-06 14:55:06,149 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:06,150 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,150 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 512], value = <UNKNOWN>
[ 2019-05-06 14:55:06,151 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1   1 512  18], value = [[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431
    -0.05396595]
   [-0.0578...
[ 2019-05-06 14:55:06,151 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,151 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [ 1 13 13 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,151 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,151 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_15/BiasAdd
[ 2019-05-06 14:55:06,151 ] [ DEBUG ] [ infer:129 ]  Op: Add
[ 2019-05-06 14:55:06,151 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,151 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [ 1 13 13 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,152 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [18], value = [ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.
 -0.00037405 -0.00642621  0.0043...
[ 2019-05-06 14:55:06,152 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,152 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [ 1 13 13 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,152 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,152 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_1
[ 2019-05-06 14:55:06,152 ] [ DEBUG ] [ infer:129 ]  Op: StridedSlice
[ 2019-05-06 14:55:06,153 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,153 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [ 1 13 13 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,153 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [1], value = [0]
[ 2019-05-06 14:55:06,153 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [1], value = [1]
[ 2019-05-06 14:55:06,153 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [1], value = [1]
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [13 13 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_1/YoloRegion
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:129 ]  Op: RegionYolo
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [13 13 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [13 13 18 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_1/YoloRegion/OpOutput
[ 2019-05-06 14:55:06,154 ] [ DEBUG ] [ infer:129 ]  Op: OpOutput
[ 2019-05-06 14:55:06,155 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,155 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [13 13 18 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,155 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,155 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,155 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_18/convolution
[ 2019-05-06 14:55:06,155 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:06,155 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,156 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,156 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1   1 256 128], value = [[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461
    -0.01837821]
   [ 0.1207...
[ 2019-05-06 14:55:06,156 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,156 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,157 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,157 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/FusedBatchNorm
[ 2019-05-06 14:55:06,157 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,157 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,157 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,158 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [128], value = [ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956
  1.03292513  1.00805879...
[ 2019-05-06 14:55:06,160 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [128], value = [  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03
   4.34156694e-03   6.537492...
[ 2019-05-06 14:55:06,160 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [0], value = []
[ 2019-05-06 14:55:06,160 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [0], value = []
[ 2019-05-06 14:55:06,160 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,160 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,160 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,161 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/cond/Switch_1
[ 2019-05-06 14:55:06,161 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,161 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,161 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,161 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,161 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,161 ] [ DEBUG ] [ infer:34 ]  output[1]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,161 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,161 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:06,161 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,162 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,162 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,162 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,162 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,162 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,162 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,162 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/cond/FusedBatchNorm
[ 2019-05-06 14:55:06,162 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,162 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,162 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,164 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [128], value = [ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956
  1.03292513  1.00805879...
[ 2019-05-06 14:55:06,166 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [128], value = [  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03
   4.34156694e-03   6.537492...
[ 2019-05-06 14:55:06,167 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [128], value = [-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173
 -0.32625762  0.28197047...
[ 2019-05-06 14:55:06,169 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [128], value = [ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251
  0.80013317  0.5101772 ...
[ 2019-05-06 14:55:06,169 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,169 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,169 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,169 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_18/cond/Merge
[ 2019-05-06 14:55:06,169 ] [ DEBUG ] [ infer:129 ]  Op: Merge
[ 2019-05-06 14:55:06,169 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,169 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,170 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,170 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,170 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,170 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,170 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_18/LeakyRelu/mul
[ 2019-05-06 14:55:06,170 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:06,170 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,170 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:06,170 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,170 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,171 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,171 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,171 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_18/LeakyRelu
[ 2019-05-06 14:55:06,171 ] [ DEBUG ] [ infer:129 ]  Op: Maximum
[ 2019-05-06 14:55:06,171 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,171 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,171 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,171 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,171 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,171 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,171 ] [ DEBUG ] [ infer:128 ]  Partial infer for up_sampling2d_1/Shape
[ 2019-05-06 14:55:06,172 ] [ DEBUG ] [ infer:129 ]  Op: Shape
[ 2019-05-06 14:55:06,172 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,172 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,172 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,172 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [4], value = [  1  13  13 128]
[ 2019-05-06 14:55:06,172 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,172 ] [ DEBUG ] [ infer:128 ]  Partial infer for up_sampling2d_1/strided_slice
[ 2019-05-06 14:55:06,172 ] [ DEBUG ] [ infer:129 ]  Op: StridedSlice
[ 2019-05-06 14:55:06,173 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,173 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [4], value = [  1  13  13 128]
[ 2019-05-06 14:55:06,173 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [1], value = [1]
[ 2019-05-06 14:55:06,174 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [1], value = [3]
[ 2019-05-06 14:55:06,174 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [1], value = [1]
[ 2019-05-06 14:55:06,174 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,174 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [2], value = [13 13]
[ 2019-05-06 14:55:06,174 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,174 ] [ DEBUG ] [ infer:128 ]  Partial infer for up_sampling2d_1/mul
[ 2019-05-06 14:55:06,174 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:06,174 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,174 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [2], value = [13 13]
[ 2019-05-06 14:55:06,175 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [2], value = [2 2]
[ 2019-05-06 14:55:06,175 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,175 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [2], value = [26 26]
[ 2019-05-06 14:55:06,175 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,175 ] [ DEBUG ] [ infer:128 ]  Partial infer for up_sampling2d_1/ResizeNearestNeighbor
[ 2019-05-06 14:55:06,175 ] [ DEBUG ] [ infer:129 ]  Op: Resample
[ 2019-05-06 14:55:06,175 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,175 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  13  13 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,175 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,175 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,176 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,176 ] [ DEBUG ] [ infer:128 ]  Partial infer for concatenate_1/concat
[ 2019-05-06 14:55:06,176 ] [ DEBUG ] [ infer:129 ]  Op: ConcatV2
[ 2019-05-06 14:55:06,176 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,176 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 128], value = <UNKNOWN>
[ 2019-05-06 14:55:06,176 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,176 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,176 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 384], value = <UNKNOWN>
[ 2019-05-06 14:55:06,176 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,176 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_21/convolution
[ 2019-05-06 14:55:06,176 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:06,177 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,177 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 384], value = <UNKNOWN>
[ 2019-05-06 14:55:06,181 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  3   3 384 256], value = [[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,
      2.70333085e-02   1.90043822e-02...
[ 2019-05-06 14:55:06,181 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,182 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,182 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,182 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:06,182 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,182 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,182 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,182 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,182 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,182 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,182 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,182 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/cond/FusedBatchNorm
[ 2019-05-06 14:55:06,183 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,183 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,183 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,186 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [256], value = [ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438
  1.03936791  1.0401268 ...
[ 2019-05-06 14:55:06,189 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [256], value = [ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829
  0.06356914  0.05388533...
[ 2019-05-06 14:55:06,192 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [256], value = [ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382
 -0.33564997 -0.90024394...
[ 2019-05-06 14:55:06,195 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [256], value = [ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204
  26.53437805   3.95586729   7....
[ 2019-05-06 14:55:06,195 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,195 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,195 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,195 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/FusedBatchNorm
[ 2019-05-06 14:55:06,195 ] [ DEBUG ] [ infer:129 ]  Op: FusedBatchNorm
[ 2019-05-06 14:55:06,195 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,195 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,198 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [256], value = [ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438
  1.03936791  1.0401268 ...
[ 2019-05-06 14:55:06,201 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [256], value = [ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829
  0.06356914  0.05388533...
[ 2019-05-06 14:55:06,202 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [0], value = []
[ 2019-05-06 14:55:06,202 ] [ DEBUG ] [ infer:34 ]  input[4]: shape = [0], value = []
[ 2019-05-06 14:55:06,202 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,202 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,202 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,202 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/cond/Switch_1
[ 2019-05-06 14:55:06,202 ] [ DEBUG ] [ infer:129 ]  Op: Switch
[ 2019-05-06 14:55:06,202 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,202 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,202 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [], value = False
[ 2019-05-06 14:55:06,202 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,203 ] [ DEBUG ] [ infer:34 ]  output[1]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,203 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,203 ] [ DEBUG ] [ infer:128 ]  Partial infer for bnorm_21/cond/Merge
[ 2019-05-06 14:55:06,203 ] [ DEBUG ] [ infer:129 ]  Op: Merge
[ 2019-05-06 14:55:06,203 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,203 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,203 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,203 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,203 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,203 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,204 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_21/LeakyRelu/mul
[ 2019-05-06 14:55:06,204 ] [ DEBUG ] [ infer:129 ]  Op: Mul
[ 2019-05-06 14:55:06,204 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,204 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [], value = 0.10000000149011612
[ 2019-05-06 14:55:06,204 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,204 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,204 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,204 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,204 ] [ DEBUG ] [ infer:128 ]  Partial infer for leaky_21/LeakyRelu
[ 2019-05-06 14:55:06,204 ] [ DEBUG ] [ infer:129 ]  Op: Maximum
[ 2019-05-06 14:55:06,204 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,205 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,205 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,205 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,205 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,205 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,205 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_22/convolution
[ 2019-05-06 14:55:06,205 ] [ DEBUG ] [ infer:129 ]  Op: Conv2D
[ 2019-05-06 14:55:06,206 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,206 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [  1  26  26 256], value = <UNKNOWN>
[ 2019-05-06 14:55:06,206 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [  1   1 256  18], value = [[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578
     0.01742826]
   [ 0.0904...
[ 2019-05-06 14:55:06,206 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,207 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [ 1 26 26 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,207 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,207 ] [ DEBUG ] [ infer:128 ]  Partial infer for conv_22/BiasAdd
[ 2019-05-06 14:55:06,207 ] [ DEBUG ] [ infer:129 ]  Op: Add
[ 2019-05-06 14:55:06,207 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,207 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [ 1 26 26 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,207 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [18], value = [-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.
  0.00208769 -0.00432897  0.0030...
[ 2019-05-06 14:55:06,208 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,208 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [ 1 26 26 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,208 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,208 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_2
[ 2019-05-06 14:55:06,208 ] [ DEBUG ] [ infer:129 ]  Op: StridedSlice
[ 2019-05-06 14:55:06,209 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,209 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [ 1 26 26 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,209 ] [ DEBUG ] [ infer:34 ]  input[1]: shape = [1], value = [0]
[ 2019-05-06 14:55:06,209 ] [ DEBUG ] [ infer:34 ]  input[2]: shape = [1], value = [1]
[ 2019-05-06 14:55:06,209 ] [ DEBUG ] [ infer:34 ]  input[3]: shape = [1], value = [1]
[ 2019-05-06 14:55:06,209 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,209 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [26 26 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_2/YoloRegion
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:129 ]  Op: RegionYolo
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [26 26 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:34 ]  output[0]: shape = [26 26 18 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:127 ]  --------------------
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:128 ]  Partial infer for strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:129 ]  Op: OpOutput
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:140 ]  Inputs:
[ 2019-05-06 14:55:06,210 ] [ DEBUG ] [ infer:34 ]  input[0]: shape = [26 26 18 18], value = <UNKNOWN>
[ 2019-05-06 14:55:06,211 ] [ DEBUG ] [ infer:142 ]  Outputs:
[ 2019-05-06 14:55:06,218 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.DeleteControlFlowEdges.DeleteControlFlowEdges'>
[ 2019-05-06 14:55:06,227 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'>
[ INFO ]  Skip replacer <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.middle.TensorIteratorOutput.SimpleOutputMatcher'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMatcher'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> (graph_condition not satisfied)
[ 2019-05-06 14:55:06,239 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'>
[ 2019-05-06 14:55:06,270 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.DeleteNotExecutable.DeleteNotExecutable'>
[ 2019-05-06 14:55:06,270 ] [ DEBUG ] [ DeleteNotExecutable:41 ]  Removing the following not executable nodes: bnorm_0/cond/Switch_1
bnorm_0/cond/Switch_1/Output_1/Data_
bnorm_10/cond/Switch_1
bnorm_10/cond/Switch_1/Output_1/Data_
bnorm_12/cond/Switch_1
bnorm_12/cond/Switch_1/Output_1/Data_
bnorm_13/cond/Switch_1
bnorm_13/cond/Switch_1/Output_1/Data_
bnorm_14/cond/Switch_1
bnorm_14/cond/Switch_1/Output_1/Data_
bnorm_18/cond/Switch_1
bnorm_18/cond/Switch_1/Output_1/Data_
bnorm_2/cond/Switch_1
bnorm_2/cond/Switch_1/Output_1/Data_
bnorm_21/cond/Switch_1
bnorm_21/cond/Switch_1/Output_1/Data_
bnorm_4/cond/Switch_1
bnorm_4/cond/Switch_1/Output_1/Data_
bnorm_6/cond/Switch_1
bnorm_6/cond/Switch_1/Output_1/Data_
bnorm_8/cond/Switch_1
bnorm_8/cond/Switch_1/Output_1/Data_
[ 2019-05-06 14:55:06,271 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:06,299 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: bnorm_0/Const_4
bnorm_0/Const_4/Output_0/Data_
bnorm_0/Const_5
bnorm_0/Const_5/Output_0/Data_
bnorm_0/FusedBatchNorm
bnorm_0/FusedBatchNorm/Output_0/Data_
bnorm_0/beta
bnorm_0/beta/read
bnorm_0/cond/FusedBatchNorm/Switch_1
bnorm_0/cond/FusedBatchNorm/Switch_2
bnorm_0/cond/FusedBatchNorm/Switch_3
bnorm_0/cond/FusedBatchNorm/Switch_4
bnorm_0/cond/pred_id
bnorm_0/gamma
bnorm_0/gamma/read
bnorm_0/keras_learning_phase
bnorm_0/keras_learning_phase/input
bnorm_0/moving_mean
bnorm_0/moving_mean/read
bnorm_0/moving_variance
bnorm_0/moving_variance/read
bnorm_10/Const_4
bnorm_10/Const_4/Output_0/Data_
bnorm_10/Const_5
bnorm_10/Const_5/Output_0/Data_
bnorm_10/FusedBatchNorm
bnorm_10/FusedBatchNorm/Output_0/Data_
bnorm_10/beta
bnorm_10/beta/read
bnorm_10/cond/FusedBatchNorm/Switch_1
bnorm_10/cond/FusedBatchNorm/Switch_2
bnorm_10/cond/FusedBatchNorm/Switch_3
bnorm_10/cond/FusedBatchNorm/Switch_4
bnorm_10/cond/pred_id
bnorm_10/gamma
bnorm_10/gamma/read
bnorm_10/moving_mean
bnorm_10/moving_mean/read
bnorm_10/moving_variance
bnorm_10/moving_variance/read
bnorm_12/Const_4
bnorm_12/Const_4/Output_0/Data_
bnorm_12/Const_5
bnorm_12/Const_5/Output_0/Data_
bnorm_12/FusedBatchNorm
bnorm_12/FusedBatchNorm/Output_0/Data_
bnorm_12/beta
bnorm_12/beta/read
bnorm_12/cond/FusedBatchNorm/Switch_1
bnorm_12/cond/FusedBatchNorm/Switch_2
bnorm_12/cond/FusedBatchNorm/Switch_3
bnorm_12/cond/FusedBatchNorm/Switch_4
bnorm_12/cond/pred_id
bnorm_12/gamma
bnorm_12/gamma/read
bnorm_12/moving_mean
bnorm_12/moving_mean/read
bnorm_12/moving_variance
bnorm_12/moving_variance/read
bnorm_13/Const_4
bnorm_13/Const_4/Output_0/Data_
bnorm_13/Const_5
bnorm_13/Const_5/Output_0/Data_
bnorm_13/FusedBatchNorm
bnorm_13/FusedBatchNorm/Output_0/Data_
bnorm_13/beta
bnorm_13/beta/read
bnorm_13/cond/FusedBatchNorm/Switch_1
bnorm_13/cond/FusedBatchNorm/Switch_2
bnorm_13/cond/FusedBatchNorm/Switch_3
bnorm_13/cond/FusedBatchNorm/Switch_4
bnorm_13/cond/pred_id
bnorm_13/gamma
bnorm_13/gamma/read
bnorm_13/moving_mean
bnorm_13/moving_mean/read
bnorm_13/moving_variance
bnorm_13/moving_variance/read
bnorm_14/Const_4
bnorm_14/Const_4/Output_0/Data_
bnorm_14/Const_5
bnorm_14/Const_5/Output_0/Data_
bnorm_14/FusedBatchNorm
bnorm_14/FusedBatchNorm/Output_0/Data_
bnorm_14/beta
bnorm_14/beta/read
bnorm_14/cond/FusedBatchNorm/Switch_1
bnorm_14/cond/FusedBatchNorm/Switch_2
bnorm_14/cond/FusedBatchNorm/Switch_3
bnorm_14/cond/FusedBatchNorm/Switch_4
bnorm_14/cond/pred_id
bnorm_14/gamma
bnorm_14/gamma/read
bnorm_14/moving_mean
bnorm_14/moving_mean/read
bnorm_14/moving_variance
bnorm_14/moving_variance/read
bnorm_18/Const_4
bnorm_18/Const_4/Output_0/Data_
bnorm_18/Const_5
bnorm_18/Const_5/Output_0/Data_
bnorm_18/FusedBatchNorm
bnorm_18/FusedBatchNorm/Output_0/Data_
bnorm_18/beta
bnorm_18/beta/read
bnorm_18/cond/FusedBatchNorm/Switch_1
bnorm_18/cond/FusedBatchNorm/Switch_2
bnorm_18/cond/FusedBatchNorm/Switch_3
bnorm_18/cond/FusedBatchNorm/Switch_4
bnorm_18/cond/pred_id
bnorm_18/gamma
bnorm_18/gamma/read
bnorm_18/moving_mean
bnorm_18/moving_mean/read
bnorm_18/moving_variance
bnorm_18/moving_variance/read
bnorm_2/Const_4
bnorm_2/Const_4/Output_0/Data_
bnorm_2/Const_5
bnorm_2/Const_5/Output_0/Data_
bnorm_2/FusedBatchNorm
bnorm_2/FusedBatchNorm/Output_0/Data_
bnorm_2/beta
bnorm_2/beta/read
bnorm_2/cond/FusedBatchNorm/Switch_1
bnorm_2/cond/FusedBatchNorm/Switch_2
bnorm_2/cond/FusedBatchNorm/Switch_3
bnorm_2/cond/FusedBatchNorm/Switch_4
bnorm_2/cond/pred_id
bnorm_2/gamma
bnorm_2/gamma/read
bnorm_2/moving_mean
bnorm_2/moving_mean/read
bnorm_2/moving_variance
bnorm_2/moving_variance/read
bnorm_21/Const_4
bnorm_21/Const_4/Output_0/Data_
bnorm_21/Const_5
bnorm_21/Const_5/Output_0/Data_
bnorm_21/FusedBatchNorm
bnorm_21/FusedBatchNorm/Output_0/Data_
bnorm_21/beta
bnorm_21/beta/read
bnorm_21/cond/FusedBatchNorm/Switch_1
bnorm_21/cond/FusedBatchNorm/Switch_2
bnorm_21/cond/FusedBatchNorm/Switch_3
bnorm_21/cond/FusedBatchNorm/Switch_4
bnorm_21/cond/pred_id
bnorm_21/gamma
bnorm_21/gamma/read
bnorm_21/moving_mean
bnorm_21/moving_mean/read
bnorm_21/moving_variance
bnorm_21/moving_variance/read
bnorm_4/Const_4
bnorm_4/Const_4/Output_0/Data_
bnorm_4/Const_5
bnorm_4/Const_5/Output_0/Data_
bnorm_4/FusedBatchNorm
bnorm_4/FusedBatchNorm/Output_0/Data_
bnorm_4/beta
bnorm_4/beta/read
bnorm_4/cond/FusedBatchNorm/Switch_1
bnorm_4/cond/FusedBatchNorm/Switch_2
bnorm_4/cond/FusedBatchNorm/Switch_3
bnorm_4/cond/FusedBatchNorm/Switch_4
bnorm_4/cond/pred_id
bnorm_4/gamma
bnorm_4/gamma/read
bnorm_4/moving_mean
bnorm_4/moving_mean/read
bnorm_4/moving_variance
bnorm_4/moving_variance/read
bnorm_6/Const_4
bnorm_6/Const_4/Output_0/Data_
bnorm_6/Const_5
bnorm_6/Const_5/Output_0/Data_
bnorm_6/FusedBatchNorm
bnorm_6/FusedBatchNorm/Output_0/Data_
bnorm_6/beta
bnorm_6/beta/read
bnorm_6/cond/FusedBatchNorm/Switch_1
bnorm_6/cond/FusedBatchNorm/Switch_2
bnorm_6/cond/FusedBatchNorm/Switch_3
bnorm_6/cond/FusedBatchNorm/Switch_4
bnorm_6/cond/pred_id
bnorm_6/gamma
bnorm_6/gamma/read
bnorm_6/moving_mean
bnorm_6/moving_mean/read
bnorm_6/moving_variance
bnorm_6/moving_variance/read
bnorm_8/Const_4
bnorm_8/Const_4/Output_0/Data_
bnorm_8/Const_5
bnorm_8/Const_5/Output_0/Data_
bnorm_8/FusedBatchNorm
bnorm_8/FusedBatchNorm/Output_0/Data_
bnorm_8/beta
bnorm_8/beta/read
bnorm_8/cond/FusedBatchNorm/Switch_1
bnorm_8/cond/FusedBatchNorm/Switch_2
bnorm_8/cond/FusedBatchNorm/Switch_3
bnorm_8/cond/FusedBatchNorm/Switch_4
bnorm_8/cond/pred_id
bnorm_8/gamma
bnorm_8/gamma/read
bnorm_8/moving_mean
bnorm_8/moving_mean/read
bnorm_8/moving_variance
bnorm_8/moving_variance/read
concatenate_1/concat/axis
concatenate_1/concat/axis/Output_0/Data_
conv_0/kernel
conv_0/kernel/read
conv_10/kernel
conv_10/kernel/read
conv_12/kernel
conv_12/kernel/read
conv_13/kernel
conv_13/kernel/read
conv_14/kernel
conv_14/kernel/read
conv_15/bias
conv_15/bias/read
conv_15/kernel
conv_15/kernel/read
conv_18/kernel
conv_18/kernel/read
conv_2/kernel
conv_2/kernel/read
conv_21/kernel
conv_21/kernel/read
conv_22/bias
conv_22/bias/read
conv_22/kernel
conv_22/kernel/read
conv_4/kernel
conv_4/kernel/read
conv_6/kernel
conv_6/kernel/read
conv_8/kernel
conv_8/kernel/read
leaky_0/LeakyRelu/alpha
leaky_10/LeakyRelu/alpha
leaky_12/LeakyRelu/alpha
leaky_13/LeakyRelu/alpha
leaky_14/LeakyRelu/alpha
leaky_18/LeakyRelu/alpha
leaky_2/LeakyRelu/alpha
leaky_21/LeakyRelu/alpha
leaky_4/LeakyRelu/alpha
leaky_6/LeakyRelu/alpha
leaky_8/LeakyRelu/alpha
strided_slice_1/stack
strided_slice_1/stack_1
strided_slice_1/stack_2
strided_slice_2/stack
strided_slice_2/stack_1
strided_slice_2/stack_2
up_sampling2d_1/Const
up_sampling2d_1/Const/Output_0/Data_
up_sampling2d_1/Shape
up_sampling2d_1/Shape/Output_0/Data_
up_sampling2d_1/mul
up_sampling2d_1/mul/Output_0/Data_
up_sampling2d_1/strided_slice
up_sampling2d_1/strided_slice/Output_0/Data_
up_sampling2d_1/strided_slice/stack
up_sampling2d_1/strided_slice/stack/Output_0/Data_
up_sampling2d_1/strided_slice/stack_1
up_sampling2d_1/strided_slice/stack_1/Output_0/Data_
up_sampling2d_1/strided_slice/stack_2
up_sampling2d_1/strided_slice/stack_2/Output_0/Data_
[ 2019-05-06 14:55:06,303 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '996', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,303 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,308 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '997', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7bae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,313 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,313 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '998', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,313 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,314 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '999', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,314 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,319 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1000', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde66f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,324 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,328 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1001', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,331 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,331 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1002', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,331 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,332 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1003', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd286a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,332 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,337 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1004', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddc7e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,342 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,347 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1005', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,351 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,352 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1006', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcceae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,353 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,353 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1007', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,353 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,354 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1008', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd082f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,355 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,355 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1009', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,355 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,355 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1010', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,356 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,359 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1011', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,362 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,364 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1012', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,365 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,371 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1013', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde476a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,377 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,377 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1014', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,377 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,381 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1015', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,384 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,384 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1016', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd089d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,384 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,385 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1017', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde769d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,386 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,386 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1018', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde761e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,386 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,398 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1019', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,406 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,406 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1020', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,407 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,408 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1021', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcceb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,410 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,410 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1022', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd282f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,411 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,411 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1023', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd288c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,412 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,413 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1024', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,413 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,413 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1025', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,414 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,414 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1026', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,415 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,421 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1027', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,427 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,430 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1028', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,433 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,439 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1029', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,445 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,446 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1030', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,446 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,447 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1031', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,448 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,454 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1032', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddc7d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,459 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,460 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1033', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcceea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,460 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,465 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1034', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcced08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,470 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,472 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1035', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,474 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,478 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1036', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,483 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,484 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1037', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,484 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,485 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1038', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,485 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,485 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1039', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,485 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,486 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1040', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,486 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,486 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1041', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9be18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,487 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,490 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1042', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,493 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,494 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1043', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,494 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,495 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1044', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,495 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,495 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1045', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,496 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,496 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1046', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddccee18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,497 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,500 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1047', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,503 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,505 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1048', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,506 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,511 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1049', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,515 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,515 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1050', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,516 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,516 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1051', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde66d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,516 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,517 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1052', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd751e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,518 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,521 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1053', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,525 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,528 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1054', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,531 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,533 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1055', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,535 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,541 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1056', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,546 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,547 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1057', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,547 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,547 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1058', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddccea60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,548 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,548 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1059', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,549 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,549 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1060', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,549 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,552 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1061', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd080d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,555 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,556 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1062', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,556 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,556 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1063', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde477b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,556 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,559 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1064', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9b9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,563 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,566 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1065', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd757b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,569 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,570 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1066', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,570 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,576 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1067', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd752f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,582 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,583 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1068', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9b840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,584 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,587 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1069', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,590 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,592 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1070', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,594 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,595 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1071', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,595 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,601 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1072', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,607 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,608 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1073', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd087b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,608 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,609 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1074', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,610 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,612 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1075', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,614 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,618 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1076', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,622 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,622 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1077', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,623 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,623 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1078', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,623 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,624 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1079', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,625 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,631 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1080', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,637 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,639 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1081', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,640 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,641 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1082', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,641 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ INFO ]  Skip replacer <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'> (graph_condition not satisfied)
[ 2019-05-06 14:55:06,655 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.CheckForCycle.CheckForCycle'>
[ 2019-05-06 14:55:06,659 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:06,677 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1000
1001
1002
1003
1004
1005
1006
1007
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bnorm_0/beta/Output_0/Data_
bnorm_0/beta/read/Output_0/Data_
bnorm_0/gamma/Output_0/Data_
bnorm_0/gamma/read/Output_0/Data_
bnorm_0/keras_learning_phase/Output_0/Data_
bnorm_0/keras_learning_phase/input/Output_0/Data_
bnorm_0/moving_mean/Output_0/Data_
bnorm_0/moving_mean/read/Output_0/Data_
bnorm_0/moving_variance/Output_0/Data_
bnorm_0/moving_variance/read/Output_0/Data_
bnorm_10/beta/Output_0/Data_
bnorm_10/beta/read/Output_0/Data_
bnorm_10/gamma/Output_0/Data_
bnorm_10/gamma/read/Output_0/Data_
bnorm_10/moving_mean/Output_0/Data_
bnorm_10/moving_mean/read/Output_0/Data_
bnorm_10/moving_variance/Output_0/Data_
bnorm_10/moving_variance/read/Output_0/Data_
bnorm_12/beta/Output_0/Data_
bnorm_12/beta/read/Output_0/Data_
bnorm_12/gamma/Output_0/Data_
bnorm_12/gamma/read/Output_0/Data_
bnorm_12/moving_mean/Output_0/Data_
bnorm_12/moving_mean/read/Output_0/Data_
bnorm_12/moving_variance/Output_0/Data_
bnorm_12/moving_variance/read/Output_0/Data_
bnorm_13/beta/Output_0/Data_
bnorm_13/beta/read/Output_0/Data_
bnorm_13/gamma/Output_0/Data_
bnorm_13/gamma/read/Output_0/Data_
bnorm_13/moving_mean/Output_0/Data_
bnorm_13/moving_mean/read/Output_0/Data_
bnorm_13/moving_variance/Output_0/Data_
bnorm_13/moving_variance/read/Output_0/Data_
bnorm_14/beta/Output_0/Data_
bnorm_14/beta/read/Output_0/Data_
bnorm_14/gamma/Output_0/Data_
bnorm_14/gamma/read/Output_0/Data_
bnorm_14/moving_mean/Output_0/Data_
bnorm_14/moving_mean/read/Output_0/Data_
bnorm_14/moving_variance/Output_0/Data_
bnorm_14/moving_variance/read/Output_0/Data_
bnorm_18/beta/Output_0/Data_
bnorm_18/beta/read/Output_0/Data_
bnorm_18/gamma/Output_0/Data_
bnorm_18/gamma/read/Output_0/Data_
bnorm_18/moving_mean/Output_0/Data_
bnorm_18/moving_mean/read/Output_0/Data_
bnorm_18/moving_variance/Output_0/Data_
bnorm_18/moving_variance/read/Output_0/Data_
bnorm_2/beta/Output_0/Data_
bnorm_2/beta/read/Output_0/Data_
bnorm_2/gamma/Output_0/Data_
bnorm_2/gamma/read/Output_0/Data_
bnorm_2/moving_mean/Output_0/Data_
bnorm_2/moving_mean/read/Output_0/Data_
bnorm_2/moving_variance/Output_0/Data_
bnorm_2/moving_variance/read/Output_0/Data_
bnorm_21/beta/Output_0/Data_
bnorm_21/beta/read/Output_0/Data_
bnorm_21/gamma/Output_0/Data_
bnorm_21/gamma/read/Output_0/Data_
bnorm_21/moving_mean/Output_0/Data_
bnorm_21/moving_mean/read/Output_0/Data_
bnorm_21/moving_variance/Output_0/Data_
bnorm_21/moving_variance/read/Output_0/Data_
bnorm_4/beta/Output_0/Data_
bnorm_4/beta/read/Output_0/Data_
bnorm_4/gamma/Output_0/Data_
bnorm_4/gamma/read/Output_0/Data_
bnorm_4/moving_mean/Output_0/Data_
bnorm_4/moving_mean/read/Output_0/Data_
bnorm_4/moving_variance/Output_0/Data_
bnorm_4/moving_variance/read/Output_0/Data_
bnorm_6/beta/Output_0/Data_
bnorm_6/beta/read/Output_0/Data_
bnorm_6/gamma/Output_0/Data_
bnorm_6/gamma/read/Output_0/Data_
bnorm_6/moving_mean/Output_0/Data_
bnorm_6/moving_mean/read/Output_0/Data_
bnorm_6/moving_variance/Output_0/Data_
bnorm_6/moving_variance/read/Output_0/Data_
bnorm_8/beta/Output_0/Data_
bnorm_8/beta/read/Output_0/Data_
bnorm_8/gamma/Output_0/Data_
bnorm_8/gamma/read/Output_0/Data_
bnorm_8/moving_mean/Output_0/Data_
bnorm_8/moving_mean/read/Output_0/Data_
bnorm_8/moving_variance/Output_0/Data_
bnorm_8/moving_variance/read/Output_0/Data_
conv_0/kernel/Output_0/Data_
conv_10/kernel/Output_0/Data_
conv_12/kernel/Output_0/Data_
conv_13/kernel/Output_0/Data_
conv_14/kernel/Output_0/Data_
conv_15/bias/Output_0/Data_
conv_15/kernel/Output_0/Data_
conv_18/kernel/Output_0/Data_
conv_2/kernel/Output_0/Data_
conv_21/kernel/Output_0/Data_
conv_22/bias/Output_0/Data_
conv_22/kernel/Output_0/Data_
conv_4/kernel/Output_0/Data_
conv_6/kernel/Output_0/Data_
conv_8/kernel/Output_0/Data_
[ 2019-05-06 14:55:06,679 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1083', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,679 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,684 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1084', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,689 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,689 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1085', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd282f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,690 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,690 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1086', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd082f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,690 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,695 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1087', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,700 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,704 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1088', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,707 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,707 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1089', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,707 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,708 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1090', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcceea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,708 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,713 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1091', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,718 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,723 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1092', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,727 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,728 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1093', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,729 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,729 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1094', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd190d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,729 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,730 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1095', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd196a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,731 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,731 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1096', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,731 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,732 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1097', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,732 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,735 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1098', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb02f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,738 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,740 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1099', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,741 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,747 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1100', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,753 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,754 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1101', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fe18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,754 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,757 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1102', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,760 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,760 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1103', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,760 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,761 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1104', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,762 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,762 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1105', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,762 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,770 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1106', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,778 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,778 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1107', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,779 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,780 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1108', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,782 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,782 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1109', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,782 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,783 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1110', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,784 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,784 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1111', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,784 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,785 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1112', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,786 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,786 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1113', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,786 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,793 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1114', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde66d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,798 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,802 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1115', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,805 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,811 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1116', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,817 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,817 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1117', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7bb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,818 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,819 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1118', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,819 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,826 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1119', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,831 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,832 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1120', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,832 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,837 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1121', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,843 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,845 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1122', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,846 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,851 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1123', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,855 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,856 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1124', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,857 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,857 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1125', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,857 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,857 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1126', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd088c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,858 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,858 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1127', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,858 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,858 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1128', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,859 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,862 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1129', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,865 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,866 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1130', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1ff28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,866 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,867 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1131', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,867 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,868 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1132', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,868 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,868 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1133', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,869 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,872 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1134', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,875 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,877 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1135', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd197b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,878 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,883 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1136', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,887 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,887 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1137', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,888 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,888 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1138', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,888 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,889 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1139', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,890 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,893 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1140', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb01e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,896 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,899 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1141', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,903 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,904 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1142', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,906 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,912 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1143', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,918 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,918 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1144', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,919 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,919 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1145', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,919 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,920 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1146', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,920 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,920 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1147', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,920 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,924 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1148', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4ce18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,927 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,927 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1149', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,927 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,927 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1150', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,928 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,931 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1151', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,934 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,937 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1152', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,940 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,941 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1153', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,941 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,947 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1154', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,953 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,954 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1155', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde66ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,955 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,958 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1156', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,961 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,963 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1157', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddccec80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,965 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,966 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1158', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,966 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,972 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1159', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,978 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,978 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1160', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde71510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,979 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,980 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1161', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,981 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,982 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1162', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,984 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,988 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1163', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,993 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,993 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1164', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,993 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,993 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1165', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,993 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:06,994 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1166', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:06,995 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,001 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1167', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,007 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,009 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1168', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,011 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,011 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1169', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,011 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,023 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.ReluQuantizeFuse.ReluQuantizeFuse'>
[ 2019-05-06 14:55:07,035 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'>
[ 2019-05-06 14:55:07,044 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:07,059 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
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1098
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[ 2019-05-06 14:55:07,061 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1170', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,061 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,066 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1171', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,071 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,071 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1172', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd197b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,072 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,072 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1173', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,072 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,077 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1174', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,082 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,085 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1175', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd199d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,089 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,089 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1176', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb0378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,089 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,089 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1177', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,090 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,095 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1178', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,100 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,104 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1179', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,109 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,110 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1180', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,111 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,111 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1181', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,111 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,112 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1182', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,112 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,113 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1183', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde769d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,113 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,113 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1184', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,113 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,117 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1185', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,120 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,122 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1186', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,123 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,129 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1187', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,135 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,135 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1188', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,135 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,139 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1189', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,142 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,142 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1190', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,142 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,143 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1191', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb01e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,144 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,144 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1192', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,144 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,152 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1193', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,160 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,160 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1194', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,161 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,162 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1195', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddc7d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,164 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,164 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1196', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,164 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,165 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1197', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd289d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,166 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,166 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1198', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,166 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,167 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1199', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,167 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,168 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1200', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,168 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,175 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1201', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,180 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,184 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1202', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,187 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,193 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1203', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7bbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,199 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,199 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1204', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,199 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,200 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1205', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,201 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,207 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1206', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea58c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,213 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,213 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1207', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,214 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,219 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1208', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,224 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,226 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1209', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd287b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,228 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,232 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1210', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,237 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,238 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1211', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd196a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,238 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,239 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1212', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,239 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,239 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1213', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb02f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,239 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,239 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1214', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde99bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,240 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,240 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1215', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,240 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,244 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1216', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1ff28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,247 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,247 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1217', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,248 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,249 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1218', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,249 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,249 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1219', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd088c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,249 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,250 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1220', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,250 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,253 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1221', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,257 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,258 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1222', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbed90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,260 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,264 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1223', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,269 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,269 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1224', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,269 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,269 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1225', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,270 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,271 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1226', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,272 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,275 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1227', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,278 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,281 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1228', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd087b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,284 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,286 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1229', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,288 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,293 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1230', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,299 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,300 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1231', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,300 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,300 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1232', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb0158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,300 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,301 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1233', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,301 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,302 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1234', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd190d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,302 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,305 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1235', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd286a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,308 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,308 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1236', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,309 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,309 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1237', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,309 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,312 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1238', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,315 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,319 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1239', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,322 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,322 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1240', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,323 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,328 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1241', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,334 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,335 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1242', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,336 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,340 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1243', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,343 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,345 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1244', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,346 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,347 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1245', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea52f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,348 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,354 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1246', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,360 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,360 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1247', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,360 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,361 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1248', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddc7e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,362 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,364 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1249', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,366 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,370 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1250', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,374 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,375 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1251', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,375 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,375 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1252', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,375 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,376 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1253', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,377 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,383 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1254', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,389 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,391 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1255', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,392 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,392 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1256', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,393 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,404 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2019-05-06 14:55:07,408 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.L2NormToNorm.L2NormToNorm'>
[ 2019-05-06 14:55:07,420 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:07,436 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1170
1171
1172
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1255
1256
[ 2019-05-06 14:55:07,438 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1257', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,438 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,442 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1258', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,447 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,448 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1259', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,448 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,448 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1260', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,449 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,454 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1261', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,459 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,462 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1262', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,465 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,466 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1263', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,466 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,466 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1264', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea58c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,466 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,471 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1265', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,476 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,481 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1266', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,485 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,486 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1267', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,487 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,487 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1268', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbed90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,488 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,488 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1269', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbeea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,489 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,489 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1270', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,489 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,490 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1271', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,490 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,493 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1272', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,496 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,498 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1273', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,499 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,505 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1274', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde99bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,511 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,511 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1275', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,512 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,515 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1276', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,518 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,518 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1277', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,519 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,519 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1278', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,520 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,520 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1279', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,521 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,528 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1280', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,536 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,536 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1281', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,537 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,539 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1282', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,540 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,541 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1283', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd197b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,541 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,542 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1284', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,542 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,543 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1285', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,543 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,543 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1286', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb02f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,544 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,544 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1287', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,545 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,551 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1288', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddc7e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,557 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,560 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1289', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,563 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,569 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1290', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,575 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,575 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1291', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,575 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,576 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1292', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb0158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,577 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,583 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1293', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,589 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,590 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1294', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd196a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,590 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,595 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1295', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd191e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,600 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,602 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1296', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,604 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,608 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1297', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd282f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,613 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,613 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1298', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,614 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,614 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1299', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,615 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,615 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1300', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,615 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,615 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1301', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,615 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,616 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1302', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde476a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,616 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,619 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1303', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,622 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,623 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1304', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,624 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,624 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1305', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,625 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,625 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1306', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,625 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,626 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1307', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,626 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,629 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1308', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbebf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,632 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,634 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1309', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,636 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,640 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1310', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,645 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,645 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1311', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,645 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,645 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1312', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,645 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,647 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1313', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,648 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,651 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1314', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,654 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,657 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1315', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,660 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,662 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1316', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea57b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,664 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,670 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1317', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea56a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,675 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,676 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1318', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,676 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,676 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1319', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,676 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,677 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1320', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd288c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,677 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,678 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1321', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd190d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,678 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,681 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1322', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,684 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,684 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1323', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,685 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,685 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1324', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb01e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,685 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,688 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1325', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddc7d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,691 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,694 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1326', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,697 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,698 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1327', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,698 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,704 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1328', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,710 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,711 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1329', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,712 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,715 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1330', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9b950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,718 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,720 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1331', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,722 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,723 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1332', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fe18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,723 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,730 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1333', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,736 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,736 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1334', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb00d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,736 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,737 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1335', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,738 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,740 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1336', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd199d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,742 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,746 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1337', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd286a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,750 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,750 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1338', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,751 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,751 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1339', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea50d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,751 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,752 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1340', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,753 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,759 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1341', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde479d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,765 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,766 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1342', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,768 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,768 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1343', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,768 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,780 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.RemoveIdentity.RemoveNodesWithZeroPhase'>
[ 2019-05-06 14:55:07,789 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:07,805 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
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1343
[ 2019-05-06 14:55:07,807 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1344', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,807 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,812 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1345', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,816 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,817 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1346', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd088c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,817 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,817 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1347', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,818 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,823 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1348', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,828 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,832 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1349', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,835 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,835 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1350', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,835 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,836 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1351', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,836 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,841 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1352', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,846 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,850 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1353', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde476a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,855 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,856 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1354', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde478c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,857 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,857 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1355', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea56a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,857 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,858 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1356', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,859 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,859 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1357', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,859 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,859 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1358', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd282f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,860 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,863 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1359', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea50d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,866 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,868 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1360', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,869 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,875 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1361', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,881 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,881 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1362', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,882 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,885 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1363', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,888 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,888 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1364', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,888 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,889 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1365', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,890 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,890 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1366', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,890 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,898 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1367', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,905 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,906 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1368', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,906 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,908 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1369', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd082f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,910 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,910 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1370', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,910 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,911 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1371', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbeea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,912 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,912 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1372', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddc7e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,912 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,913 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1373', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,914 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,914 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1374', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,915 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,921 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1375', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,927 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,930 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1376', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,933 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,939 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1377', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,945 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,946 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1378', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,946 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,947 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1379', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,948 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,954 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1380', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7ba60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,960 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,960 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1381', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7bae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,961 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,966 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1382', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbeb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,971 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,973 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1383', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd089d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,974 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,979 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1384', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd087b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,983 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,984 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1385', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,985 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,985 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1386', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,985 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,985 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1387', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,986 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,986 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1388', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,986 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,986 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1389', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,987 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,990 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1390', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,993 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,994 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1391', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,994 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,995 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1392', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,995 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,995 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1393', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,996 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:07,996 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1394', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:07,996 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,000 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1395', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,003 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,005 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1396', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,006 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,011 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1397', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,015 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,015 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1398', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,016 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,016 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1399', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,016 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,017 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1400', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea57b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,018 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,021 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1401', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,024 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,028 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1402', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,031 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,033 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1403', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,034 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,040 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1404', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,046 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,046 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1405', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,047 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,047 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1406', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,047 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,048 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1407', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,048 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,048 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1408', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,049 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,052 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1409', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbee18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,055 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,055 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1410', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,055 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,055 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1411', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,056 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,059 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1412', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,062 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,065 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1413', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,068 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,069 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1414', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,069 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,075 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1415', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,081 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,082 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1416', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,083 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,086 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1417', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9b840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,089 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,091 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1418', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,093 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,093 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1419', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,094 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,100 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1420', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,106 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,106 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1421', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbed08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,107 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,108 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1422', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,109 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,110 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1423', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd080d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,112 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,116 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1424', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,121 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,121 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1425', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,121 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,121 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1426', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,122 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,122 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1427', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,123 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,129 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1428', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,135 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,137 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1429', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,139 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,139 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1430', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,139 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,150 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.RemoveIdentity.RemoveDropout'>
[ 2019-05-06 14:55:08,163 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.CustomSubgraphCall.CustomSubgraphCall'>
[ 2019-05-06 14:55:08,170 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:08,185 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
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1424
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1430
[ 2019-05-06 14:55:08,187 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1431', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea51e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,187 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,192 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1432', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,197 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,197 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1433', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,197 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,198 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1434', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,198 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,203 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1435', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,208 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,211 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1436', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde99bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,214 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,215 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1437', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,215 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,215 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1438', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,215 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,220 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1439', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,226 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,230 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1440', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd082f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,234 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,235 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1441', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,236 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,237 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1442', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,237 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,238 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1443', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,238 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,238 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1444', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbeae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,239 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,239 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1445', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,239 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,242 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1446', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,245 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,247 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1447', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,249 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,255 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1448', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,260 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,261 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1449', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddc7d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,261 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,264 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1450', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,267 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,267 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1451', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,268 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,268 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1452', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,269 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,269 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1453', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd779d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,270 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,277 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1454', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,285 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,285 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1455', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,286 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,287 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1456', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,289 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,289 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1457', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea57b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,290 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,290 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1458', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,291 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,291 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1459', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,292 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,292 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1460', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,293 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,293 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1461', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,294 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,300 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1462', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd287b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,305 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,309 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1463', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde762f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,312 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,318 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1464', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,324 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,324 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1465', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde761e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,324 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,325 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1466', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,326 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,332 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1467', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,338 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,339 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1468', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,339 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,344 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1469', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,349 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,351 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1470', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,353 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,357 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1471', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,362 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,363 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1472', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,363 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,363 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1473', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,364 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,364 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1474', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,364 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,364 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1475', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,364 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,365 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1476', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,365 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,368 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1477', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,372 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,372 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1478', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,373 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,373 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1479', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,374 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,374 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1480', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,374 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,375 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1481', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,375 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,378 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1482', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbec80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,381 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,383 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1483', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd199d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,385 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,389 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1484', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,393 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,394 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1485', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,394 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,394 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1486', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb02f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,394 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,395 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1487', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,396 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,400 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1488', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7bb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,403 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,406 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1489', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,409 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,411 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1490', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,413 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,419 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1491', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,424 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,425 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1492', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,425 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,425 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1493', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,425 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,426 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1494', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,426 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,427 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1495', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,427 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,430 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1496', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea50d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,433 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,433 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1497', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,434 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,434 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1498', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,434 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,437 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1499', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,440 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,443 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1500', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,447 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,447 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1501', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,447 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,453 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1502', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,459 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,460 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1503', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde760d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,461 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,465 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1504', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fe18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,468 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,470 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1505', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,471 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,472 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1506', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,473 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,479 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1507', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,485 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,485 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1508', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,485 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,486 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1509', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,487 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,489 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1510', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde477b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,491 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,495 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1511', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,499 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,499 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1512', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,500 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,500 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1513', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd087b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,500 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,501 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1514', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,502 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,508 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1515', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,513 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,515 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1516', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,517 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,517 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1517', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb00d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,517 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,529 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.Cast.CastToFloatMark'>
[ 2019-05-06 14:55:08,542 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.UselessSplitEraser.UselessSplitEraser'>
[ 2019-05-06 14:55:08,554 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.ConvertMultiInputConv.ConvertMultiInputConv'>
[ 2019-05-06 14:55:08,564 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:08,579 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1431
1432
1433
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[ 2019-05-06 14:55:08,582 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1518', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,582 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,586 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1519', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,591 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,592 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1520', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,592 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,592 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1521', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,593 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,598 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1522', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,603 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,606 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1523', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,609 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,609 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1524', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbed08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,610 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,610 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1525', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,610 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,615 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1526', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,620 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,625 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1527', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,629 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,630 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1528', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,631 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,632 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1529', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb0378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,632 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,632 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1530', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7bb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,633 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,633 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1531', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,633 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,634 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1532', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,634 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,637 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1533', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,640 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,642 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1534', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd080d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,644 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,650 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1535', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb00d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,656 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,656 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1536', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd198c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,656 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,659 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1537', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,662 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,663 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1538', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd191e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,663 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,664 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1539', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbef28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,664 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,665 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1540', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbee18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,665 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,672 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1541', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,680 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,680 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1542', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,681 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,683 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1543', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,684 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,685 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1544', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,685 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,686 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1545', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde762f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,686 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,687 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1546', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,687 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,687 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1547', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde768c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,688 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,688 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1548', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fe18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,689 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,695 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1549', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,701 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,704 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1550', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,707 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,713 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1551', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,719 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,719 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1552', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,720 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,721 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1553', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,721 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,727 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1554', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,733 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,734 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1555', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,734 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,739 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1556', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,745 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,746 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1557', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,748 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,753 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1558', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,757 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,758 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1559', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,758 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,759 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1560', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbec80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,759 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,759 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1561', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,759 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,760 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1562', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd196a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,760 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,760 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1563', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,761 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,764 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1564', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb0158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,767 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,768 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1565', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd086a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,768 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,769 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1566', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,769 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,769 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1567', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,770 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,770 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1568', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,770 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,774 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1569', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,777 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,778 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1570', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,780 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,785 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1571', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,789 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,789 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1572', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,789 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,790 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1573', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,790 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,791 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1574', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7ba60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,792 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,795 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1575', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,798 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,801 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1576', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,805 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,806 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1577', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,808 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,814 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1578', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb01e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,820 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,820 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1579', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd190d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,820 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,821 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1580', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,821 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,822 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1581', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbea60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,822 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,822 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1582', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,822 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,826 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1583', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,829 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,829 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1584', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,830 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,830 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1585', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,830 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,833 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1586', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,836 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,840 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1587', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,843 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,843 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1588', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,844 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,849 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1589', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,855 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,857 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1590', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,858 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,861 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1591', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,864 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,866 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1592', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,867 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,868 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1593', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,869 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,875 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1594', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeede18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,881 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,881 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1595', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,881 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,882 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1596', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,883 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,885 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1597', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9b840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,887 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,891 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1598', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,895 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,896 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1599', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,896 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,896 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1600', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd197b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,896 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,897 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1601', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,898 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,904 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1602', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd082f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,910 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,912 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1603', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,913 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,914 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1604', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,914 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,925 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.DilatedConvolution.DilatedConvolutionConverter'>
[ 2019-05-06 14:55:08,933 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:08,949 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1518
1519
1520
1521
1522
1523
1524
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[ 2019-05-06 14:55:08,951 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1605', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,951 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,956 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1606', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd197b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,961 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,961 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1607', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,962 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,962 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1608', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,962 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,967 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1609', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,972 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,975 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1610', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,978 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,979 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1611', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,979 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,979 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1612', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,979 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,985 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1613', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,990 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,994 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1614', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:08,998 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:08,999 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1615', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,000 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,001 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1616', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,001 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,001 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1617', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,002 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,002 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1618', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea58c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,002 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,003 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1619', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,003 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,006 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1620', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd751e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,009 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,011 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1621', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,013 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,019 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1622', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,024 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,025 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1623', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,025 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,028 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1624', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,031 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,032 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1625', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,032 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,033 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1626', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddc7d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,033 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,034 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1627', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,034 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,041 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1628', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,049 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,050 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1629', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde761e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,050 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,052 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1630', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,054 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,054 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1631', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,054 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,055 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1632', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,056 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,056 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1633', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,056 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,057 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1634', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,057 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,058 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1635', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9ba60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,058 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,064 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1636', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbeae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,070 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,073 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1637', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb0378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,076 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,082 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1638', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,088 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,089 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1639', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,089 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,090 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1640', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbed90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,091 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,097 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1641', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbebf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,102 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,103 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1642', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,103 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,108 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1643', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,114 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,115 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1644', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,117 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,122 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1645', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,126 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,127 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1646', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,127 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,128 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1647', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,128 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,128 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1648', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,128 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,129 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1649', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,129 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,129 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1650', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1ff28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,130 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,133 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1651', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,136 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,137 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1652', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde476a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,137 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,138 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1653', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,138 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,138 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1654', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,139 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,139 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1655', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,139 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,143 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1656', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,146 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,147 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1657', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,149 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,154 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1658', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,158 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,158 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1659', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,158 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,159 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1660', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,159 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,160 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1661', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,161 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,164 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1662', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,167 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,170 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1663', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,173 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,175 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1664', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,177 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,183 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1665', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fe18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,189 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,189 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1666', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,189 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,190 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1667', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,190 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,190 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1668', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde769d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,191 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,191 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1669', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,191 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,194 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1670', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,198 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,198 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1671', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,198 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,198 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1672', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9b840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,198 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,201 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1673', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbec80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,205 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,208 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1674', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,211 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,211 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1675', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd196a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,212 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,218 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1676', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,223 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,225 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1677', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb00d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,226 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,229 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1678', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,232 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,234 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1679', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,236 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,236 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1680', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbea60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,237 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,243 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1681', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,249 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,249 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1682', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,250 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,251 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1683', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeede18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,252 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,253 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1684', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,255 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,259 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1685', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde762f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,264 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,264 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1686', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,264 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,264 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1687', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,264 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,265 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1688', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,266 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,272 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1689', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde47b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,278 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,280 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1690', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,281 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,282 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1691', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,282 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,293 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.InputCut.MiddleInputCut'>
[ 2019-05-06 14:55:09,294 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:09,309 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
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[ 2019-05-06 14:55:09,311 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1692', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,311 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,316 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1693', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,321 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,322 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1694', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,322 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,322 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1695', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,322 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,327 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1696', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7ba60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,333 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,336 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1697', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,339 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,340 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1698', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,340 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,340 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1699', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,340 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,345 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1700', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,350 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,355 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1701', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,359 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,360 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1702', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,361 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,361 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1703', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,362 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,362 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1704', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,363 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,363 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1705', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,363 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,364 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1706', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,364 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,367 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1707', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd191e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,370 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,372 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1708', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd199d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,374 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,379 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1709', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,385 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,385 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1710', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,386 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,389 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1711', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,392 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,392 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1712', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,392 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,393 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1713', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,394 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,394 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1714', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,394 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,402 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1715', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,409 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,410 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1716', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,410 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,412 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1717', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,414 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,414 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1718', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,414 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,415 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1719', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,416 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,416 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1720', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,416 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,417 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1721', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9ba60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,417 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,418 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1722', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9be18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,418 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,424 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1723', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,430 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,434 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1724', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,437 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,443 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1725', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,449 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,449 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1726', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,449 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,450 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1727', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,451 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,457 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1728', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,463 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,464 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1729', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde99bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,464 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,469 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1730', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,474 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,476 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1731', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,478 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,482 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1732', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,487 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,487 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1733', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,488 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,488 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1734', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,489 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,489 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1735', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,489 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,489 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1736', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,489 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,490 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1737', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7bbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,490 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,493 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1738', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd286a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,496 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,497 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1739', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,498 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,498 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1740', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,499 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,499 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1741', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,499 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,500 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1742', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,500 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,503 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1743', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,506 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,508 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1744', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,510 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,514 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1745', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,519 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,519 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1746', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,519 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,519 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1747', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,519 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,520 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1748', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,521 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,525 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1749', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,528 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,531 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1750', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,534 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,536 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1751', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,538 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,544 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1752', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,550 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,550 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1753', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde761e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,550 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,550 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1754', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,551 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,551 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1755', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,552 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,552 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1756', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,552 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,555 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1757', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,558 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,559 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1758', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,559 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,559 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1759', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,559 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,562 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1760', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb0378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,565 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,569 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1761', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,572 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,572 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1762', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,573 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,579 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1763', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,584 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,586 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1764', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,587 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,590 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1765', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea52f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,593 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,595 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1766', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,597 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,597 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1767', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb02f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,598 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,604 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1768', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,610 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,610 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1769', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9b950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,610 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,612 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1770', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,613 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,614 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1771', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,616 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,620 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1772', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,625 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,625 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1773', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,625 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,625 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1774', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,625 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,626 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1775', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,627 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,633 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1776', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,639 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,641 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1777', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,642 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,643 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1778', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd190d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,643 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,654 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.ChangePlaceholderTypes.ChangePlaceholderTypes'>
[ 2019-05-06 14:55:09,655 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:09,671 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1692
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1777
1778
[ 2019-05-06 14:55:09,673 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1779', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,673 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,678 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1780', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,682 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,684 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1781', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,686 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,686 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1782', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,687 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,687 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1783', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde768c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,688 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,693 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1784', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde760d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,698 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,698 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1785', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,698 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,699 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1786', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,699 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,704 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1787', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,709 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,710 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1788', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,710 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,716 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1789', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,722 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,726 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1790', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,730 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,732 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1791', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,733 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,733 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1792', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,733 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,734 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1793', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,735 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,735 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1794', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,735 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,735 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1795', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,735 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,739 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1796', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,742 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,742 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1797', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,743 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,745 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1798', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,747 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,747 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1799', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,747 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,751 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1800', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,754 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,754 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1801', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,754 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,758 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1802', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,761 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,762 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1803', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,762 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,763 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1804', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,764 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,764 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1805', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,764 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,764 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1806', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,764 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,772 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1807', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,779 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,781 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1808', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,783 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,786 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1809', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,789 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,791 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1810', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,793 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,794 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1811', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd190d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,794 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,795 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1812', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,795 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,796 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1813', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,796 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,797 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1814', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,797 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,797 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1815', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,797 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,801 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1816', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,804 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,810 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1817', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7bb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,816 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,819 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1818', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,822 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,825 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1819', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde761e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,828 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,834 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1820', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,840 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,841 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1821', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,841 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,842 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1822', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,843 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,848 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1823', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9b950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,854 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,855 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1824', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,855 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,860 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1825', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,866 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,870 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1826', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea56a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,875 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,875 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1827', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea59d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,875 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,876 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1828', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,876 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,877 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1829', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,877 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,877 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1830', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,877 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,877 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1831', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,878 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,878 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1832', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,878 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,879 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1833', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,879 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,879 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1834', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,879 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,882 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1835', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,886 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,886 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1836', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,887 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,887 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1837', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9ba60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,887 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,892 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1838', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,896 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,896 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1839', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,896 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,900 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1840', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,903 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,904 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1841', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,906 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,910 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1842', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,915 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,915 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1843', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,915 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,916 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1844', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,917 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,919 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1845', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,921 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,927 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1846', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd282f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,933 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,933 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1847', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,933 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,934 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1848', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd198c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,934 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,935 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1849', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,935 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,935 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1850', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,935 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,936 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1851', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd08f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,936 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,939 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1852', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbed08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,942 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,945 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1853', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,948 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,954 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1854', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd197b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,960 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,961 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1855', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,962 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,964 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1856', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,966 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,969 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1857', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,972 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,973 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1858', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,974 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,980 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1859', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,986 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,988 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1860', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,989 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,990 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1861', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,990 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,990 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1862', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,991 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,991 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1863', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:09,991 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:09,997 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1864', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,003 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,003 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1865', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,004 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,015 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.ScaleInput.ScaleInput'>
[ 2019-05-06 14:55:10,045 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'>
[ 2019-05-06 14:55:10,050 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.RemoveIdentity.RemoveIdentity'>
[ 2019-05-06 14:55:10,063 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2019-05-06 14:55:10,067 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
[ 2019-05-06 14:55:10,093 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.ConvToBinaryConv.ConvToBinaryConv'>
[ 2019-05-06 14:55:10,106 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:10,121 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1779
1780
1781
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[ 2019-05-06 14:55:10,123 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1866', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9b950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,123 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,128 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1867', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9b9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,133 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,135 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1868', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,136 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,137 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1869', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,137 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,138 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1870', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,138 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,143 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1871', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde760d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,148 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,149 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1872', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde761e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,149 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,149 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1873', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,149 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,155 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1874', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,160 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,160 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1875', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,161 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,167 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1876', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,173 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,177 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1877', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,181 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,182 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1878', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,183 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,184 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1879', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,184 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,185 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1880', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,186 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,186 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1881', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,186 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,186 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1882', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,186 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,189 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1883', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,192 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,193 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1884', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde769d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,194 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,196 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1885', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,198 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,198 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1886', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,198 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,201 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1887', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,205 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,205 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1888', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9ba60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,205 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,208 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1889', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,211 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,212 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1890', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,213 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,214 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1891', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,214 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,215 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1892', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,215 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,215 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1893', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,215 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,222 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1894', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,230 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,232 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1895', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,234 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,237 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1896', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,240 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,242 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1897', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,244 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,244 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1898', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb0378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,245 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,245 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1899', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd779d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,246 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,246 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1900', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,247 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,247 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1901', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,248 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,248 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1902', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4ce18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,248 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,252 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1903', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,255 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,261 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1904', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea51e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,267 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,270 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1905', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,273 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,276 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1906', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,279 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,285 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1907', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,291 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,292 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1908', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,292 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,293 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1909', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,294 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,300 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1910', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,305 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,306 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1911', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,306 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,311 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1912', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,317 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,321 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1913', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,326 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,326 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1914', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,326 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,327 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1915', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7bbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,327 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,328 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1916', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7bae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,328 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,328 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1917', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd287b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,328 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,329 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1918', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,329 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,329 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1919', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd28400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,329 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,330 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1920', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde712f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,330 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,330 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1921', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde716a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,330 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,334 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1922', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,337 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,338 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1923', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,338 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,338 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1924', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,339 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,343 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1925', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,347 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,347 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1926', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,348 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,351 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1927', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,354 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,356 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1928', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9be18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,358 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,362 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1929', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,366 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,366 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1930', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea59d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,367 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,368 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1931', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea58c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,369 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,371 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1932', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,372 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,378 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1933', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,384 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,384 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1934', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,384 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,385 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1935', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,385 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,386 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1936', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,386 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,386 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1937', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,386 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,386 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1938', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,387 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,390 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1939', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,393 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,396 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1940', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,399 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,405 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1941', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,411 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,412 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1942', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,413 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,415 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1943', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,416 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,420 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1944', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,423 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,424 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1945', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,425 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,431 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1946', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,437 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,439 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1947', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9b840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,440 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,441 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1948', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,441 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,441 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1949', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,442 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,442 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1950', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,442 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,448 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1951', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,454 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,454 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1952', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,455 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,466 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.Reduce.ReduceReplacer'>
[ 2019-05-06 14:55:10,479 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.MXNetSplitMultiLayers.MXNetSplitLayersToRNNSequence'>
[ 2019-05-06 14:55:10,505 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.MXNetRNNSequenceNormalize.MXNetRNNSequenceNormalize'>
[ 2019-05-06 14:55:10,532 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'>
[ 2019-05-06 14:55:10,559 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'>
[ 2019-05-06 14:55:10,585 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.GRURNNSequenceToTensorIterator.GRUAndRNNToTensorIterator'>
[ INFO ]  Skip replacer <class 'extensions.middle.GemmToFullyConnected.GemmToFullyConnected'> (graph_condition not satisfied)
[ 2019-05-06 14:55:10,611 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'>
[ 2019-05-06 14:55:10,616 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.GatherNdNormalizer.GatherNdNormalize'>
[ 2019-05-06 14:55:10,625 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:10,641 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1866
1867
1868
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[ 2019-05-06 14:55:10,643 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1953', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea58c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,643 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,648 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1954', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,653 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,655 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1955', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,656 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,657 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1956', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde769d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,657 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,658 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1957', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,658 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,663 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1958', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,669 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,669 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1959', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4ce18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,669 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,670 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1960', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7bae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,670 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,675 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1961', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,680 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,681 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1962', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,681 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,687 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1963', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd191e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,693 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,697 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1964', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,701 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,703 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1965', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,704 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,704 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1966', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,704 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,705 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1967', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,706 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,706 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1968', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,706 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,706 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1969', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd197b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,706 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,710 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1970', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,713 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,713 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1971', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,714 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,716 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1972', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd756a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,718 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,718 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1973', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,718 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,722 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1974', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbec80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,725 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,725 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1975', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,725 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,728 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1976', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,732 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,732 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1977', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,733 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,734 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1978', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,735 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,735 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1979', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,735 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,735 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1980', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,735 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,743 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1981', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,751 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,752 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1982', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,754 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,757 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1983', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea52f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,760 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,762 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1984', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,764 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,765 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1985', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,766 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,766 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1986', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,766 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,767 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1987', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,767 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,768 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1988', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,768 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,768 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1989', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,769 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,772 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1990', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,775 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,781 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1991', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,787 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,790 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1992', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,793 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,797 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1993', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,800 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,806 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1994', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fe18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,812 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,812 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1995', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,812 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,813 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1996', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbed90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,814 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,820 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1997', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,826 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,826 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1998', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,827 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,832 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '1999', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,837 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,842 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2000', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,846 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,846 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2001', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,847 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,847 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2002', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde66d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,848 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,848 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2003', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcceb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,848 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,849 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2004', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,849 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,849 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2005', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcceea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,849 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,849 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2006', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,850 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,850 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2007', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,850 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,851 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2008', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,851 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,854 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2009', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde66c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,857 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,858 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2010', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd196a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,859 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,859 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2011', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,859 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,863 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2012', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,868 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,868 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2013', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,868 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,871 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2014', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbea60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,874 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,876 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2015', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,878 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,882 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2016', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,886 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,887 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2017', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,887 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,888 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2018', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,889 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,891 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2019', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,892 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,898 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2020', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,904 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,904 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2021', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,905 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,905 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2022', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9ba60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,906 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,906 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2023', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde9bae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,906 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,906 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2024', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,906 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,907 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2025', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd8f6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,907 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,910 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2026', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,913 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,916 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2027', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde762f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,920 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,926 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2028', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeedd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,931 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,933 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2029', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,934 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,935 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2030', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,937 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,940 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2031', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,944 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,945 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2032', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,946 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,952 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2033', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1ff28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,957 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,959 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2034', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbebf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,961 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,961 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2035', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,961 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,962 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2036', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,962 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,963 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2037', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,963 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,969 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2038', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd190d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,975 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,975 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2039', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:10,975 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:10,986 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'>
[ 2019-05-06 14:55:10,998 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'>
[ 2019-05-06 14:55:11,021 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
strided_slice_1/YoloRegion/OpOutput
strided_slice_2/YoloRegion/OpOutput
[ 2019-05-06 14:55:11,037 ] [ DEBUG ] [ eliminate:134 ]  Removing the following dead nodes: 1953
1954
1955
1956
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[ 2019-05-06 14:55:11,039 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2040', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,039 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_14/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_14/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,044 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2041', 'shape': array([  3,   3, 384, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,049 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_21/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 384, 256]), 'fw_tensor_debug_info': [('conv_21/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -2.50604805e-02   1.56817753e-02  -1.49578536e-02 ...,\n      2.70333085e-02   1.90043822e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,050 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2042', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,052 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  6.04346814e-03   2.60325056e-02  -1.74268298e-02   9.63064656e-03\n   4.34156694e-03   6.537492...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,053 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2043', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbeae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,053 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_15/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_15/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00316323 -0.00536066  0.00457387 -0.00455441 -0.05459524  0.\n -0.00037405 -0.00642621  0.0043...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,054 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2044', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,054 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.04595244  0.68107074  2.13390326 ..., -3.59283447  3.82923508\n  0.91470778]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,059 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2045', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,064 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_10/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_10/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.02417051  0.01801793  0.00034538 ..., -0.01888637 -0.01482751\n    -0.01192628]\n   [-0.0111...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,065 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2046', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,065 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,065 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2047', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,065 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_14/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,070 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2048', 'shape': array([ 3,  3,  3, 16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4ce18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,076 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_0/kernel/read/Output_0/Data_', 'shape': array([ 3,  3,  3, 16]), 'fw_tensor_debug_info': [('conv_0/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.13360786 -0.03028854  0.00067915 -0.03837016 -0.11335332  0.18097927\n    -0.00402463  0.15...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,076 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2049', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,076 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00248778  0.99604589  0.98723251 ...,  0.9938724   0.99253762\n  0.99444783]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,082 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2050', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,088 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01529968  1.01453459  1.00845861  1.00391102  0.99341953  0.99713868\n  0.99123728  0.99665082...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,093 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2051', 'shape': array([ 3,  3, 16, 32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,097 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_2/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 16, 32]), 'fw_tensor_debug_info': [('conv_2/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.13081084  0.02488861  0.03255274 ...,  0.08653195  0.12861936\n    -0.08896928]\n   [-0.0791...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,098 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2052', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,099 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.01788306  1.03103471  0.98558575  0.99240988  1.03766942  1.02604675\n  1.0160867   0.96982735...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,100 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2053', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeed048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,100 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,101 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2054', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde762f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,101 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.65237522  0.40241981  0.61250716 -0.4677268  -0.29919621 -0.61420888\n -0.27744654 -0.48909885...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,102 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2055', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,102 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_13/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,102 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2056', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea59d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,102 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_21/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_21/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,105 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2057', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea52f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,108 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -7.65629206e-03  -3.80393933e-03   1.16979396e-02   9.68245603e-03\n   5.03304275e-03   1.672211...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,109 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2058', 'shape': array([  1,   1, 512,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,110 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_15/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 512,  18]), 'fw_tensor_debug_info': [('conv_15/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.06301113  0.0977065  -0.06051961 ..., -0.02928648 -0.07474431\n    -0.05396595]\n   [-0.0578...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,112 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2059', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,113 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.54322988 -0.50155461 -0.25772825 -0.58251584 -0.31650656  0.52467173\n -0.32625762  0.28197047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,114 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2060', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,114 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.30764866  2.33899736  5.74748611 ...,  4.90959167  4.44242811\n  2.47939372]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,117 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2061', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,120 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.14735961  2.67976832  4.18479872  2.38375044  2.02207327  1.793064\n  2.7668972   1.49022686  ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,121 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2062', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fd90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,121 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,124 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2063', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbea60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,127 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.93755841  0.15724923 -0.17365162 -0.62437159 -0.3309103  -0.92633665\n -1.76681507  0.10963236...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,128 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2064', 'shape': array([  1,   1, 256, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd756a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,129 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_18/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256, 128]), 'fw_tensor_debug_info': [('conv_18/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.12202738  0.03378935  0.05505551 ..., -0.01632753  0.09012461\n    -0.01837821]\n   [ 0.1207...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,130 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2065', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,130 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00651684  0.037224   -0.0374304   0.00164159 -0.02833523  0.11311075\n  0.00689642  0.05855059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,131 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2066', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,131 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_4/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,131 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2067', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,131 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_18/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_18/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,138 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2068', 'shape': array([   3,    3,  512, 1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,146 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_12/kernel/read/Output_0/Data_', 'shape': array([   3,    3,  512, 1024]), 'fw_tensor_debug_info': [('conv_12/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ -1.21830562e-02  -2.22415812e-02   2.54655462e-02 ...,\n     -2.29618065e-02   8.52310844e-03...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,148 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2069', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,150 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.71544129  1.88660371  0.84902555  3.20312285  0.55122864  1.26238251\n  0.80013317  0.5101772 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,153 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2070', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd198c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,156 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 2.56891346 -1.76802135 -2.44474506 -0.81598938 -1.47463751  2.32637382\n -0.33564997 -0.90024394...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,158 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2071', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,160 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.66930306  0.53418332  0.60984099  0.49432731  0.76808161  0.42809224\n  0.70339692  1.55994046...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,161 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2072', 'shape': array([  1,   1, 256,  18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,161 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_22/kernel/read/Output_0/Data_', 'shape': array([  1,   1, 256,  18]), 'fw_tensor_debug_info': [('conv_22/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.03580369 -0.13771534  0.02630529 ...,  0.10160169  0.05533578\n     0.01742826]\n   [ 0.0904...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,162 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2073', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddb02f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,162 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_6/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,163 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2074', 'shape': array([18]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,163 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'conv_22/bias/read/Output_0/Data_', 'shape': array([18]), 'fw_tensor_debug_info': [('conv_22/bias/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00235221  0.00268734 -0.01144111 -0.01572922 -0.08168212  0.\n  0.00208769 -0.00432897  0.0030...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,164 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2075', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,164 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00091207  0.00237858  0.00168153  0.00275673  0.0018098   0.0038926\n  0.00541542  0.01795395 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,164 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2076', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[0]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd190d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,165 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_2/stack/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_2/stack', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[0]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,168 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2077', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd196a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,171 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.4835943   0.82824695  0.63182425  0.72341579  0.71076024  1.11950004\n  0.56715643  0.75836837...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,177 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2078', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd751e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,183 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  2.13350868   2.03235793   2.96899962   6.38940382  10.68950748\n   0.76983762   2.25302553   2....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,186 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2079', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,189 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00441003  1.03854764  1.01566863  0.99356717  0.96781671  0.99528438\n  1.03936791  1.0401268 ...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,192 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2080', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbed08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,195 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_13/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_13/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99824554  0.99725878  0.99094856  0.99055856  0.99849319  1.01563787\n  1.0184232   1.00139511...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,201 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2081', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1ff28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,207 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.9823516   0.99081457  0.98468661  0.98797041  1.00001633  1.01891112\n  0.99868423  1.00274205...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,208 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2082', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,208 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_13/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_13/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,209 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2083', 'shape': array([   1,    1, 1024,  256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,210 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_13/kernel/read/Output_0/Data_', 'shape': array([   1,    1, 1024,  256]), 'fw_tensor_debug_info': [('conv_13/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.00051251 -0.00899902  0.03681291 ...,  0.03516105 -0.05184371\n    -0.06485175]\n   [-0.0110...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,216 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2084', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,221 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[  3.67098972e-02   3.95546146e-02   2.28141006e-02   1.53790303e-02\n  -5.72286127e-03   6.627427...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,222 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2085', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,222 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00483528  0.03921587  0.06400497 -0.06009418  0.00528586 -0.01316342\n -0.12447102 -0.32912129...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,227 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2086', 'shape': array([  3,   3, 256, 512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,233 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_14/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 256, 512]), 'fw_tensor_debug_info': [('conv_14/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.00452581  0.00431888  0.00837175 ...,  0.0244497  -0.00678038\n     0.0050709 ]\n   [ 0.0148...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,237 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2087', 'shape': array([  3,   3, 128, 256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea51e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,242 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_8/kernel/read/Output_0/Data_', 'shape': array([  3,   3, 128, 256]), 'fw_tensor_debug_info': [('conv_8/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[-0.04837889  0.02967194 -0.01483318 ..., -0.00656904 -0.02279584\n    -0.01086242]\n   [ 0.0142...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,242 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2088', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,242 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_4/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_4/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,243 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2089', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,244 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00315487  0.96072596  0.97976172  0.96948898  0.96421725  1.09215009\n  1.00045133  1.08691752...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,244 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2090', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,244 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_12/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_12/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,244 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2091', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddeede18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,244 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_21/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,245 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2092', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,245 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_18/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,245 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2093', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddcce6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,245 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_2/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_2/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,246 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2094', 'shape': array([1024]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde761e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,246 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([1024]), 'fw_tensor_debug_info': [('bnorm_12/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.00485963 -0.00281694 -0.00526283 ..., -0.00664989 -0.00409214\n -0.00833346]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,246 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2095', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde768c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,246 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_12/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_12/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,250 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2096', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,253 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-1.08065951 -1.01863027 -0.09927595 -1.15319729 -1.70613706  0.26375806\n -0.88335073  0.04296176...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,254 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2097', 'shape': array([32]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea56a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,254 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([32]), 'fw_tensor_debug_info': [('bnorm_2/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.76821399  0.65865105  0.75998747  0.57920611  0.86448747  0.89478117\n  0.32663423  0.76400357...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,255 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2098', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,255 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_10/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_10/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,259 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2099', 'shape': array([  3,   3,  64, 128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,263 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_6/kernel/read/Output_0/Data_', 'shape': array([  3,   3,  64, 128]), 'fw_tensor_debug_info': [('conv_6/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[  2.54794657e-02  -2.61493661e-02  -4.84984405e-02 ...,\n      4.82206568e-02   4.84746732e-02...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,263 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2100', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4cf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,264 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_10/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,267 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2101', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1fe18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,270 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 15.33003044   4.94986391   7.12747335   5.53822517   6.70480204\n  26.53437805   3.95586729   7....', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,272 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2102', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,273 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.49985747e-02  -8.69968068e-03  -1.22064343e-02   1.03157694e-02\n  -8.93593673e-03  -1.246133...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,278 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2103', 'shape': array([ 3,  3, 32, 64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,282 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'output_channel_dim': array(3), 'is_output_reachable': True, 'input_channel_dim': array(2), 'data_type': None, 'name': 'conv_4/kernel/read/Output_0/Data_', 'shape': array([ 3,  3, 32, 64]), 'fw_tensor_debug_info': [('conv_4/kernel/read', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[[[[ 0.02158662  0.07348792 -0.05841728 ...,  0.07088089 -0.08305377\n     0.0047978 ]\n   [ 0.0541...', 'spatial_dims': array([0, 1]), 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims', 'input_channel_dim'], 'is_const_producer': False, 'dims_number': 4, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,282 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2104', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,282 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_2/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,284 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2105', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,285 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.43495619  0.07616755 -0.83520365 -0.5720976  -0.31670022 -0.71236843\n -0.17475446  0.39312187...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,286 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2106', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,288 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.08459467  0.28833464 -1.02503633 -0.95836228 -0.24614085 -0.45476034\n -0.72034597 -1.07681167...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,294 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2107', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,300 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_14/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_14/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -2.23945469e-01  -4.47163016e-01  -3.83251548e-01  -1.64905918e+00\n   1.78756487e+00  -4.405688...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,300 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2108', 'shape': array([1]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[1]', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde66c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,300 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'strided_slice_1/stack_1/Output_0/Data_', 'shape': array([1]), 'fw_tensor_debug_info': [('strided_slice_1/stack_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[1]', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'force_precision': 'I32', 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,301 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2109', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,301 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.062787    0.04207042 -0.00463714 -0.04836819  0.03352756 -0.09850183\n -0.04512255 -0.04092892...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,301 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2110', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,302 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_0/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,302 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2111', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde4d158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,302 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_2/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_2/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,302 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2112', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,303 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_0/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_0/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,306 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2113', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde7b9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,309 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.00001645  1.0299114   1.01509118  1.0268532   1.01385641  0.97015417\n  0.98795962  1.01009965...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,312 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2114', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd77ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,315 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_21/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_21/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.03070046  0.06340913  0.04537362 -0.00731416 -0.03662872  0.01271829\n  0.06356914  0.05388533...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,321 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2115', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,327 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -5.10906335e-03  -2.16781683e-02  -8.76122247e-03  -5.95194986e-03\n  -5.75699937e-03  -6.756689...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,328 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2116', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd19d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,329 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.39859205  0.32056382  0.75744033  0.62822109  0.52978468  0.17132714\n  0.31071305  0.55635059...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,331 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2117', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,332 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_18/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_18/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 0.99179953  1.01902628  0.9828251   1.01112986  1.01274955  1.00467956\n  1.03292513  1.00805879...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,336 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2118', 'shape': array([256]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd75158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,339 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([256]), 'fw_tensor_debug_info': [('bnorm_8/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.00480968 -0.01815267 -0.00143703 -0.00705997  0.01893551 -0.03920737\n -0.01277605 -0.00646351...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,340 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2119', 'shape': array([64]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dddbed90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,341 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_4/cond/FusedBatchNorm/Switch_2/Output_0/Data_', 'shape': array([64]), 'fw_tensor_debug_info': [('bnorm_4/cond/FusedBatchNorm/Switch_2', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[-0.04902158  0.00217368  0.01411726  0.00627762  0.02945145 -0.04158198\n  0.00829973 -0.01586396...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,347 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2120', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd1f488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,353 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_3/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_3', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ -1.34174943e+00   6.26662672e-01  -2.14533591e+00  -6.14336073e-01\n  -1.00641644e+00  -3.146047...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,355 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2121', 'shape': array([128]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,357 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_6/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([128]), 'fw_tensor_debug_info': [('bnorm_6/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.02583683  1.00230551  1.00221813  1.00108063  1.01638329  1.02494049\n  0.99235934  0.99913257...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,357 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2122', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddd4c7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,357 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_8/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_8/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,358 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2123', 'shape': array([16]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,358 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_0/cond/FusedBatchNorm/Switch_1/Output_0/Data_', 'shape': array([16]), 'fw_tensor_debug_info': [('bnorm_0/cond/FusedBatchNorm/Switch_1', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.06265938  0.96923018  0.99300319  0.99137497  0.98627543  0.98816425\n  0.99141401  1.06565714...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,358 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2124', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '0.10000000149011612', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3ddea5400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,359 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'leaky_6/LeakyRelu/alpha/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('leaky_6/LeakyRelu/alpha', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '0.10000000149011612', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,365 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2125', 'shape': array([512]), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,371 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_10/cond/FusedBatchNorm/Switch_4/Output_0/Data_', 'shape': array([512]), 'fw_tensor_debug_info': [('bnorm_10/cond/FusedBatchNorm/Switch_4', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': '[ 1.37718987  1.24178922  2.18501234  1.14630067  1.24567831  1.32515955\n  1.55223727  1.21945345...', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,371 ] [ DEBUG ] [ op:204 ]  Start running infer function for individual op node with attributes: {'type': 'Const', 'data_type': None, 'name': '2126', 'shape': array([], dtype=int64), 'out_ports_count': 1, '_in_ports': set(), 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'op', 'infer': <function tf_const_infer at 0x7fe3e0c60ae8>, 'value': 'False', 'op': 'Const', 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'precision': 'FP32', 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7fe3dde76488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': {0}}
[ 2019-05-06 14:55:11,371 ] [ DEBUG ] [ op:217 ]  Finished running infer function, data nodes attributes: {'is_undead': False, 'is_output_reachable': True, 'data_type': None, 'name': 'bnorm_8/cond/pred_id/Output_0/Data_', 'shape': array([], dtype=int64), 'fw_tensor_debug_info': [('bnorm_8/cond/pred_id', 0)], 'shape_attrs': ['shape', 'output_shape', 'stride', 'window', 'pad'], 'kind': 'data', 'infer': None, 'value': 'False', 'executable': True, 'dim_attrs': ['batch_dims', 'axis', 'spatial_dims', 'channel_dims'], 'is_const_producer': False, 'is_partial_inferred': True}
[ 2019-05-06 14:55:11,382 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'>
[ 2019-05-06 14:55:11,395 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'>
[ 2019-05-06 14:55:11,410 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ 2019-05-06 14:55:11,415 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_0/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:11,416 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_2/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:11,416 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_4/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:11,416 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_6/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:11,416 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_8/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:11,416 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_10/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:11,417 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_12/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:11,417 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_13/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:11,417 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_14/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:11,417 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_18/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:11,417 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_21/cond/FusedBatchNorm/Switch
[ 2019-05-06 14:55:11,421 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.UselessMerge.UselessMergeEraser'>
[ 2019-05-06 14:55:11,429 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_18/cond/Merge
[ INFO ]  Useles Merge op and data nodes was deleted op='bnorm_18/cond/Merge'
[ 2019-05-06 14:55:11,429 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_2/cond/Merge
[ INFO ]  Useles Merge op and data nodes was deleted op='bnorm_2/cond/Merge'
[ 2019-05-06 14:55:11,429 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_13/cond/Merge
[ INFO ]  Useles Merge op and data nodes was deleted op='bnorm_13/cond/Merge'
[ 2019-05-06 14:55:11,430 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_8/cond/Merge
[ INFO ]  Useles Merge op and data nodes was deleted op='bnorm_8/cond/Merge'
[ 2019-05-06 14:55:11,430 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_6/cond/Merge
[ INFO ]  Useles Merge op and data nodes was deleted op='bnorm_6/cond/Merge'
[ 2019-05-06 14:55:11,430 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_10/cond/Merge
[ INFO ]  Useles Merge op and data nodes was deleted op='bnorm_10/cond/Merge'
[ 2019-05-06 14:55:11,430 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_12/cond/Merge
[ INFO ]  Useles Merge op and data nodes was deleted op='bnorm_12/cond/Merge'
[ 2019-05-06 14:55:11,430 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_21/cond/Merge
[ INFO ]  Useles Merge op and data nodes was deleted op='bnorm_21/cond/Merge'
[ 2019-05-06 14:55:11,431 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_14/cond/Merge
[ INFO ]  Useles Merge op and data nodes was deleted op='bnorm_14/cond/Merge'
[ 2019-05-06 14:55:11,431 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_4/cond/Merge
[ INFO ]  Useles Merge op and data nodes was deleted op='bnorm_4/cond/Merge'
[ 2019-05-06 14:55:11,431 ] [ DEBUG ] [ eliminate:237 ]  Removing op node: bnorm_0/cond/Merge
[ INFO ]  Useles Merge op and data nodes was deleted op='bnorm_0/cond/Merge'
[ 2019-05-06 14:55:11,435 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'>
[ 2019-05-06 14:55:11,446 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'>
[ 2019-05-06 14:55:11,468 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'>
[ 2019-05-06 14:55:11,479 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.DepthToSpace.DepthToSpace'>
[ 2019-05-06 14:55:11,501 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ 2019-05-06 14:55:11,512 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'>
[ 2019-05-06 14:55:11,523 ] [ DEBUG ] [ class_registration:164 ]  Run replacer <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ ERROR ]  -------------------------------------------------
[ ERROR ]  ----------------- INTERNAL ERROR ----------------
[ ERROR ]  Unexpected exception happened.
[ ERROR ]  Please contact Model Optimizer developers and forward the following information:
[ ERROR ]  Exception occurred during running replacer "REPLACEMENT_ID (<class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>)": list index out of range
[ ERROR ]  Traceback (most recent call last):
  File "/opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 167, in apply_replacements
    replacer.find_and_replace_pattern(graph)
  File "/opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/extensions/middle/ConvertGroupedStridedSlice.py", line 111, in find_and_replace_pattern
    prev_sd = sorted_split_dims[0]
IndexError: list index out of range

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/mo/main.py", line 312, in main
    return driver(argv)
  File "/opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/mo/main.py", line 263, in driver
    is_binary=not argv.input_model_is_text)
  File "/opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/mo/pipeline/tf.py", line 128, in tf2nx
    class_registration.apply_replacements(graph, class_registration.ClassType.MIDDLE_REPLACER)
  File "/opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 190, in apply_replacements
    )) from err
Exception: Exception occurred during running replacer "REPLACEMENT_ID (<class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>)": list index out of range

[ ERROR ]  ---------------- END OF BUG REPORT --------------
[ ERROR ]  -------------------------------------------------
Model Optimizer arguments:
Common parameters:
	- Path to the Input Model: 	/home/.../Desktop/mytiny.pb
	- Path for generated IR: 	/opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/.
	- IR output name: 	mytiny
	- Log level: 	DEBUG
	- Batch: 	Not specified, inherited from the model
	- Input layers: 	Not specified, inherited from the model
	- Output layers: 	Not specified, inherited from the model
	- Input shapes: 	[1,416,416,3]
	- Mean values: 	Not specified
	- Scale values: 	Not specified
	- Scale factor: 	Not specified
	- Precision of IR: 	FP16
	- Enable fusing: 	True
	- Enable grouped convolutions fusing: 	True
	- Move mean values to preprocess section: 	False
	- Reverse input channels: 	False
TensorFlow specific parameters:
	- Input model in text protobuf format: 	False
	- Path to model dump for TensorBoard: 	None
	- List of shared libraries with TensorFlow custom layers implementation: 	None
	- Update the configuration file with input/output node names: 	None
	- Use configuration file used to generate the model with Object Detection API: 	None
	- Operations to offload: 	None
	- Patterns to offload: 	None
	- Use the config file: 	/opt/intel/openvino_2019.1.133/deployment_tools/model_optimizer/./extensions/front/tf/my_yolo_v3_tiny.json
Model Optimizer version: 	2019.1.0-341-gc9b66a2