/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/main.py:89: SyntaxWarning: "is" with a literal. Did you mean "=="?
  if op is 'k':
[ 2021-05-22 06:54:07,360 ] [ DEBUG ] [ main:117 ]  Namespace(batch=None, data_type='float', disable_fusing=None, disable_gfusing=None, disable_nhwc_to_nchw=False, disable_resnet_optimization=False, disable_weights_compression=False, enable_concat_optimization=False, extensions='/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/extensions', finegrain_fusing=None, framework='tf', freeze_placeholder_with_value=None, generate_deprecated_IR_V7=False, input=None, input_checkpoint=None, input_meta_graph=None, input_model=None, input_model_is_text=False, input_shape=None, keep_shape_ops=True, log_level='DEBUG', mean_values=(), model_name=None, move_to_preprocess=None, output=None, output_dir='/tmp/', progress=False, reverse_input_channels=False, saved_model_dir='/home/ubuntu/tfcache/063d866c06683311b44b4992fd46003be952409c/', saved_model_tags=None, scale=None, scale_values=(), silent=False, static_shape=False, stream_output=False, tensorboard_logdir=None, tensorflow_custom_layer_libraries=None, tensorflow_custom_operations_config_update=None, tensorflow_object_detection_api_pipeline_config=None, tensorflow_use_custom_operations_config=None, transformations_config=None)
[ 2021-05-22 06:54:07,360 ] [ DEBUG ] [ main:118 ]  Model Optimizer started
[ 2021-05-22 06:54:07,360 ] [ DEBUG ] [ main:135 ]  Output model name would be saved_model{.xml, .bin}
Model Optimizer arguments:
Common parameters:
	- Path to the Input Model: 	None
	- Path for generated IR: 	/tmp/
	- IR output name: 	saved_model
	- Log level: 	DEBUG
	- Batch: 	Not specified, inherited from the model
	- Input layers: 	Not specified, inherited from the model
	- Output layers: 	Not specified, inherited from the model
	- Input shapes: 	Not specified, inherited from the model
	- Mean values: 	Not specified
	- Scale values: 	Not specified
	- Scale factor: 	Not specified
	- Precision of IR: 	FP32
	- Enable fusing: 	True
	- Enable grouped convolutions fusing: 	True
	- Move mean values to preprocess section: 	None
	- 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
	- Use the config file: 	None
[ WARNING ] Failed to import Inference Engine Python API in: /opt/intel/openvino_2021.3.394/python/python3.8
[ WARNING ] libinference_engine.so: cannot open shared object file: No such file or directory
	- Inference Engine found in: 	/opt/intel/openvino_2021.3.394/python/python3.8/openvino
Inference Engine version: 	2.1.2021.3.0-2787-60059f2c755-releases/2021/3
Model Optimizer version: 	    2021.3.0-2787-60059f2c755-releases/2021/3
2021-05-22 06:54:07.935847: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/utils/../../../inference_engine/lib/intel64:/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/utils/../../../inference_engine/external/tbb/lib:/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/utils/../../../ngraph/lib
2021-05-22 06:54:07.935898: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
[ 2021-05-22 06:54:08,497 ] [ DEBUG ] [ tpu_cluster_resolver:35 ]  Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
[ 2021-05-22 06:54:08,716 ] [ DEBUG ] [ __init__:47 ]  Creating converter from %s to %s
[ 2021-05-22 06:54:08,716 ] [ DEBUG ] [ __init__:47 ]  Creating converter from %s to %s
[ 2021-05-22 06:54:08,716 ] [ DEBUG ] [ __init__:47 ]  Creating converter from %s to %s
[ 2021-05-22 06:54:08,716 ] [ DEBUG ] [ __init__:47 ]  Creating converter from %s to %s
[ WARNING ]  
Detected not satisfied dependencies:
	test-generator: installed: 0.1.2, required: == 0.1.1

Please install required versions of components or use install_prerequisites script
/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/install_prerequisites/install_prerequisites_tf2.sh
Note that install_prerequisites scripts may install additional components.
[ 2021-05-22 06:54:09,136 ] [ DEBUG ] [ main:223 ]  Placeholder shapes : None
[ INFO ]  Importing extensions from: /opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo
[ INFO ]  New subclass: <class 'extensions.ops.parameter.Parameter'>
[ INFO ]  Registered a new subclass with key: Parameter
[ INFO ]  New subclass: <class 'mo.ops.const.Const'>
[ INFO ]  Registered a new subclass with key: Const
[ INFO ]  New subclass: <class 'extensions.ops.tensor_iterator.TensorIterator'>
[ INFO ]  Registered a new subclass with key: TensorIterator
[ INFO ]  New subclass: <class 'extensions.ops.Cast.Cast'>
[ INFO ]  Registered a new subclass with key: Cast
[ INFO ]  New subclass: <class 'mo.ops.activation.Activation'>
[ INFO ]  Registered a new subclass with key: Activation
[ INFO ]  New subclass: <class 'mo.ops.assign.Assign'>
[ INFO ]  Registered a new subclass with key: Assign
[ INFO ]  New subclass: <class 'extensions.ops.gather.Gather'>
[ INFO ]  Registered a new subclass with key: Gather
[ INFO ]  New subclass: <class 'extensions.ops.gather.AttributedGather'>
[ INFO ]  Registered a new subclass with key: AttributedGather
[ INFO ]  New subclass: <class 'extensions.ops.transpose.Transpose'>
[ INFO ]  Registered a new subclass with key: Transpose
[ INFO ]  New subclass: <class 'mo.ops.broadcast.Broadcast'>
[ INFO ]  Registered a new subclass with key: Broadcast
[ INFO ]  New subclass: <class 'mo.ops.clamp.AttributedClamp'>
[ INFO ]  Registered a new subclass with key: AttributedClamp
[ INFO ]  New subclass: <class 'mo.ops.clamp.Clamp'>
[ INFO ]  Registered a new subclass with key: Clamp
[ INFO ]  New subclass: <class 'mo.ops.concat.Concat'>
[ INFO ]  Registered a new subclass with key: Concat
[ INFO ]  New subclass: <class 'mo.ops.constant_of_shape.ConstantOfShape'>
[ INFO ]  Registered a new subclass with key: ConstantOfShape
[ INFO ]  New subclass: <class 'mo.ops.convolution.Convolution'>
[ INFO ]  Registered a new subclass with key: Convolution
[ INFO ]  New subclass: <class 'mo.ops.crop.Crop'>
[ INFO ]  Registered a new subclass with key: Crop
[ INFO ]  New subclass: <class 'mo.ops.deconvolution.Deconvolution'>
[ INFO ]  Registered a new subclass with key: Deconvolution
[ INFO ]  New subclass: <class 'mo.ops.deformable_convolution.DeformableConvolution'>
[ INFO ]  Registered a new subclass with key: DeformableConvolution
[ INFO ]  New subclass: <class 'mo.ops.eltwise.Eltwise'>
[ INFO ]  Registered a new subclass with key: Eltwise
[ INFO ]  New subclass: <class 'mo.ops.eltwise_n.EltwiseN'>
[ INFO ]  Registered a new subclass with key: EltwiseN
[ INFO ]  New subclass: <class 'mo.ops.eltwise_ninputs_in_1.EltwiseNin1'>
[ INFO ]  Registered a new subclass with key: EltwiseNin1
[ INFO ]  New subclass: <class 'mo.ops.expand_dims.ExpandDims'>
[ INFO ]  Registered a new subclass with key: ExpandDims
[ INFO ]  New subclass: <class 'mo.ops.fill.Fill'>
[ INFO ]  Registered a new subclass with key: Fill
[ INFO ]  New subclass: <class 'mo.ops.flatten.Flatten'>
[ INFO ]  Registered a new subclass with key: Flatten
[ INFO ]  New subclass: <class 'mo.ops.flatten.FlattenONNX'>
[ INFO ]  Registered a new subclass with key: FlattenONNX
[ INFO ]  New subclass: <class 'mo.ops.group_norm.GroupNorm'>
[ INFO ]  Registered a new subclass with key: GroupNorm
[ INFO ]  New subclass: <class 'mo.ops.log_softmax.LogSoftmax'>
[ INFO ]  Registered a new subclass with key: LogSoftmax
[ INFO ]  New subclass: <class 'mo.ops.log_softmax.LogSoftmaxONNX'>
[ INFO ]  Registered a new subclass with key: LogSoftmaxONNX
[ INFO ]  New subclass: <class 'mo.ops.lrn.LRN'>
[ INFO ]  Registered a new subclass with key: LRN
[ INFO ]  New subclass: <class 'mo.ops.lrn.AttributedLRN'>
[ INFO ]  Registered a new subclass with key: AttributedLRN
[ INFO ]  New subclass: <class 'mo.ops.lstmnonlinearity.LstmNonLinearity'>
[ INFO ]  Registered a new subclass with key: LstmNonLinearity
[ INFO ]  New subclass: <class 'mo.ops.memory.Memory'>
[ INFO ]  Registered a new subclass with key: Memory
[ INFO ]  New subclass: <class 'mo.ops.memoryoffset.MemoryOffset'>
[ INFO ]  Registered a new subclass with key: MemoryOffset
[ INFO ]  New subclass: <class 'mo.ops.pad.Pad'>
[ INFO ]  Registered a new subclass with key: Pad
[ INFO ]  New subclass: <class 'mo.ops.pad.AttributedPad'>
[ INFO ]  Registered a new subclass with key: AttributedPad
[ INFO ]  New subclass: <class 'mo.ops.pad.TFPad'>
[ INFO ]  Registered a new subclass with key: TFPad
[ INFO ]  New subclass: <class 'mo.ops.pad.ONNXPad'>
[ INFO ]  Registered a new subclass with key: ONNXPad
[ INFO ]  New subclass: <class 'mo.ops.permute.Permute'>
[ INFO ]  Registered a new subclass with key: Permute
[ INFO ]  New subclass: <class 'mo.ops.pooling.PoolingV2'>
[ INFO ]  Registered a new subclass with key: PoolingV2
[ INFO ]  New subclass: <class 'mo.ops.pooling.Pooling'>
[ INFO ]  Registered a new subclass with key: Pooling
[ INFO ]  New subclass: <class 'mo.ops.power.AttributedPower'>
[ INFO ]  Registered a new subclass with key: AttributedPower
[ INFO ]  New subclass: <class 'mo.ops.read_value.ReadValue'>
[ INFO ]  Registered a new subclass with key: ReadValue
[ INFO ]  New subclass: <class 'mo.ops.reshape.Reshape'>
[ INFO ]  Registered a new subclass with key: Reshape
[ INFO ]  New subclass: <class 'mo.ops.result.Result'>
[ INFO ]  Registered a new subclass with key: Result
[ INFO ]  New subclass: <class 'mo.ops.roipooling.ROIPooling'>
[ INFO ]  Registered a new subclass with key: ROIPooling
[ INFO ]  New subclass: <class 'mo.ops.scale_shift.ScaleShiftOp'>
[ INFO ]  Registered a new subclass with key: ScaleShift
[ INFO ]  New subclass: <class 'mo.ops.shape.Shape'>
[ INFO ]  Registered a new subclass with key: ShapeOf
[ INFO ]  New subclass: <class 'mo.ops.slice.AttributedSlice'>
[ INFO ]  Registered a new subclass with key: AttributedSlice
[ INFO ]  New subclass: <class 'mo.ops.slice.CaffeSlice'>
[ INFO ]  Registered a new subclass with key: CaffeSlice
[ INFO ]  New subclass: <class 'mo.ops.slice.TFSlice'>
[ INFO ]  Registered a new subclass with key: TFSlice
[ INFO ]  New subclass: <class 'mo.ops.slice.MXSlice'>
[ INFO ]  Registered a new subclass with key: MXSlice
[ INFO ]  New subclass: <class 'mo.ops.slice.Slice'>
[ INFO ]  Registered a new subclass with key: Slice
[ INFO ]  New subclass: <class 'mo.ops.softmax.Softmax'>
[ INFO ]  Registered a new subclass with key: SoftMax
[ INFO ]  New subclass: <class 'mo.ops.softmax.SoftmaxONNX'>
[ INFO ]  Registered a new subclass with key: SoftMaxONNX
[ INFO ]  New subclass: <class 'mo.ops.space_to_batch.SpaceToBatch'>
[ INFO ]  Registered a new subclass with key: SpaceToBatch
[ INFO ]  New subclass: <class 'mo.ops.space_to_batch.BatchToSpace'>
[ INFO ]  Registered a new subclass with key: BatchToSpace
[ INFO ]  New subclass: <class 'mo.ops.squeeze.Squeeze'>
[ INFO ]  Registered a new subclass with key: Squeeze
[ INFO ]  New subclass: <class 'mo.ops.strided_slice.StridedSlice'>
[ INFO ]  Registered a new subclass with key: StridedSlice
[ INFO ]  New subclass: <class 'mo.ops.tdnncomponent.TdnnComponent'>
[ INFO ]  Registered a new subclass with key: tdnncomponent
[ INFO ]  New subclass: <class 'mo.ops.tile.Tile'>
[ INFO ]  Registered a new subclass with key: Tile
[ INFO ]  New subclass: <class 'mo.ops.tile.AttributedTile'>
[ INFO ]  Registered a new subclass with key: AttributedTile
[ INFO ]  New subclass: <class 'mo.ops.unsqueeze.Unsqueeze'>
[ INFO ]  Registered a new subclass with key: Unsqueeze
[ INFO ]  New subclass: <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'>
[ INFO ]  New subclass: <class 'extensions.load.loader.LoadFinish'>
[ INFO ]  New subclass: <class 'mo.front.common.replacement.FrontReplacementSubgraph'>
[ INFO ]  New subclass: <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 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.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.user_data_repack.UserDataRepack'> 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 'extensions.middle.pass_separator.PreMiddleStart'>
[ INFO ]  New subclass: <class 'extensions.middle.pass_separator.MiddleStart'>
[ INFO ]  New subclass: <class 'extensions.middle.pass_separator.MiddleFinish'>
[ INFO ]  New subclass: <class 'extensions.middle.pass_separator.PostMiddleStart'>
[ INFO ]  New subclass: <class 'extensions.middle.InsertLayoutPropagationTransposes.InsertLayoutPropagationTranspose'>
[ INFO ]  New subclass: <class 'extensions.back.pass_separator.BackStart'>
[ INFO ]  New subclass: <class 'extensions.back.pass_separator.BackFinish'>
[ INFO ]  New subclass: <class 'extensions.back.SpecialNodesFinalization.RemoveConstOps'>
[ INFO ]  New subclass: <class 'extensions.back.SpecialNodesFinalization.CreateConstNodesReplacement'>
[ INFO ]  New subclass: <class 'extensions.back.SpecialNodesFinalization.RemoveConstToResult'>
[ INFO ]  New subclass: <class 'extensions.back.SpecialNodesFinalization.NormalizeTI'>
[ INFO ]  New subclass: <class 'extensions.back.RemoveUselessConvert.RemoveUselessConvert'>
[ INFO ]  New subclass: <class 'extensions.back.ResultRename.ResultRename'>
[ INFO ]  New subclass: <class 'extensions.back.op_versioning.OpVersioning'>
[ INFO ]  New subclass: <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'>
[ INFO ]  Registered a new subclass with key: StridedSlice
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.user_data_repack.UserDataRepack'> 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 ]  Importing extensions from: /opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/extensions
[ WARNING ]  Skipped <class 'extensions.ops.parameter.Parameter'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.Cast.Cast'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.assign.Assign'> 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 'extensions.ops.gather.AttributedGather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.transpose.Transpose'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.broadcast.Broadcast'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.AttributedClamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.constant_of_shape.ConstantOfShape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> 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. 
[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.deformable_convolution.DeformableConvolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise_ninputs_in_1.EltwiseNin1'> 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. 
[ WARNING ]  Skipped <class 'mo.ops.fill.Fill'> 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. 
[ WARNING ]  Skipped <class 'mo.ops.flatten.FlattenONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.group_norm.GroupNorm'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.log_softmax.LogSoftmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.log_softmax.LogSoftmaxONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.AttributedLRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lstmnonlinearity.LstmNonLinearity'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memoryoffset.MemoryOffset'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.AttributedPad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.TFPad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.ONNXPad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.PoolingV2'> 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.power.AttributedPower'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.read_value.ReadValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.result.Result'> 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.scale_shift.ScaleShiftOp'> 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.AttributedSlice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.CaffeSlice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.TFSlice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.MXSlice'> 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. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.SoftmaxONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.space_to_batch.SpaceToBatch'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.space_to_batch.BatchToSpace'> 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. 
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSlice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tdnncomponent.TdnnComponent'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.AttributedTile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.activation_ops.Activation'>
[ INFO ]  New subclass: <class 'extensions.ops.activation_ops.LeakyReLU'>
[ INFO ]  Registered a new subclass with key: LeakyReLU
[ INFO ]  New subclass: <class 'extensions.ops.activation_ops.Swish'>
[ INFO ]  Registered a new subclass with key: Swish
[ INFO ]  New subclass: <class 'extensions.ops.BN.BN'>
[ INFO ]  Registered a new subclass with key: BN
[ INFO ]  New subclass: <class 'extensions.ops.BatchNormInference.BatchNormInference'>
[ INFO ]  Registered a new subclass with key: batchNormInference
[ INFO ]  New subclass: <class 'extensions.ops.BlockLSTM.BlockLSTM'>
[ INFO ]  Registered a new subclass with key: BlockLSTM
[ INFO ]  New subclass: <class 'extensions.ops.ConvertLike.ConvertLike'>
[ INFO ]  Registered a new subclass with key: ConvertLike
[ INFO ]  New subclass: <class 'extensions.ops.DetectionOutput.DetectionOutput'>
[ INFO ]  Registered a new subclass with key: DetectionOutput
[ INFO ]  New subclass: <class 'extensions.ops.Enter.Enter'>
[ INFO ]  Registered a new subclass with key: Enter
[ INFO ]  New subclass: <class 'extensions.ops.Exit.Exit'>
[ INFO ]  Registered a new subclass with key: Exit
[ INFO ]  New subclass: <class 'extensions.ops.ExtractImagePatches.ExtractImagePatches'>
[ INFO ]  Registered a new subclass with key: ExtractImagePatches
[ INFO ]  New subclass: <class 'extensions.ops.RNN.RNN'>
[ INFO ]  Registered a new subclass with key: RNN
[ INFO ]  New subclass: <class 'extensions.ops.GRU.GRU'>
[ INFO ]  Registered a new subclass with key: GRU
[ INFO ]  New subclass: <class 'extensions.ops.GRUCell.GRUCell'>
[ INFO ]  Registered a new subclass with key: GRUCell
[ INFO ]  New subclass: <class 'extensions.ops.GatherTree.GatherTree'>
[ INFO ]  Registered a new subclass with key: GatherTree
[ INFO ]  New subclass: <class 'extensions.ops.LSTM.LSTM'>
[ INFO ]  Registered a new subclass with key: LSTM
[ INFO ]  New subclass: <class 'extensions.ops.LookupTableInsert.LookupTableInsert'>
[ INFO ]  Registered a new subclass with key: LookupTableInsert
[ INFO ]  New subclass: <class 'extensions.ops.MatMul.MatMul'>
[ INFO ]  Registered a new subclass with key: MatMul
[ INFO ]  New subclass: <class 'extensions.ops.MatMul.GemmONNX'>
[ INFO ]  Registered a new subclass with key: Gemm
[ INFO ]  New subclass: <class 'extensions.ops.MatMul.FullyConnected'>
[ INFO ]  Registered a new subclass with key: FullyConnected
[ INFO ]  New subclass: <class 'extensions.ops.NextIteration.NextIteration'>
[ INFO ]  Registered a new subclass with key: NextIteration
[ INFO ]  New subclass: <class 'extensions.ops.ONNXResize10.ONNXResize10'>
[ INFO ]  Registered a new subclass with key: ONNXResize10
[ INFO ]  New subclass: <class 'extensions.ops.ONNXResize11.ONNXResize11Op'>
[ INFO ]  Registered a new subclass with key: ONNXResize11
[ INFO ]  New subclass: <class 'extensions.ops.RNNCell.RNNCell'>
[ INFO ]  Registered a new subclass with key: RNNCell
[ INFO ]  New subclass: <class 'extensions.ops.ReduceOps.ReduceOp'>
[ INFO ]  New subclass: <class 'extensions.ops.Reverse.Reverse'>
[ INFO ]  Registered a new subclass with key: Reverse
[ INFO ]  New subclass: <class 'extensions.ops.TFResize.TFResize'>
[ INFO ]  Registered a new subclass with key: TFResize
[ INFO ]  New subclass: <class 'extensions.ops.TensorArray.TensorArray'>
[ INFO ]  Registered a new subclass with key: TensorArrayV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayGather.TensorArrayGather'>
[ INFO ]  Registered a new subclass with key: TensorArrayGatherV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayRead.TensorArrayReader'>
[ INFO ]  Registered a new subclass with key: TensorArrayReadV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'>
[ INFO ]  Registered a new subclass with key: TensorArrayScatterV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArraySize.TensorArraySize'>
[ INFO ]  Registered a new subclass with key: TensorArraySizeV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'>
[ INFO ]  Registered a new subclass with key: TensorArrayWriteV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'>
[ INFO ]  Registered a new subclass with key: TensorIteratorInput
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'>
[ INFO ]  Registered a new subclass with key: TensorIteratorOutput
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'>
[ INFO ]  Registered a new subclass with key: TensorIteratorCondition
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'>
[ INFO ]  Registered a new subclass with key: TensorIteratorBackEdge
[ INFO ]  New subclass: <class 'extensions.ops.accum.AccumOp'>
[ INFO ]  Registered a new subclass with key: Accum
[ INFO ]  New subclass: <class 'extensions.ops.adaptive_avg_pooling.AdaptiveAvgPooling'>
[ INFO ]  Registered a new subclass with key: AdaptiveAvgPooling
[ INFO ]  New subclass: <class 'extensions.ops.argmax.ArgMaxOp'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.ops.assert_op.Assert'>
[ INFO ]  Registered a new subclass with key: Assert
[ INFO ]  New subclass: <class 'extensions.ops.aten.ATen'>
[ INFO ]  Registered a new subclass with key: ATen
[ INFO ]  New subclass: <class 'extensions.ops.axpy.AxpyOp'>
[ INFO ]  Registered a new subclass with key: Axpy
[ INFO ]  New subclass: <class 'extensions.ops.binarization.Binarization'>
[ INFO ]  Registered a new subclass with key: Binarization
[ INFO ]  New subclass: <class 'extensions.ops.box_nms.BoxNms'>
[ INFO ]  Registered a new subclass with key: _contrib_box_nms
[ INFO ]  New subclass: <class 'extensions.ops.bucketize.Bucketize'>
[ INFO ]  Registered a new subclass with key: Bucketize
[ INFO ]  New subclass: <class 'extensions.ops.constant_fill.ConstantFill'>
[ INFO ]  Registered a new subclass with key: ConstantFill
[ INFO ]  New subclass: <class 'extensions.ops.copyop.CopyOp'>
[ INFO ]  Registered a new subclass with key: copy
[ INFO ]  New subclass: <class 'extensions.ops.correlation.CorrelationOp'>
[ INFO ]  Registered a new subclass with key: Correlation
[ INFO ]  New subclass: <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'>
[ INFO ]  Registered a new subclass with key: CTCGreedyDecoder
[ INFO ]  New subclass: <class 'extensions.ops.ctc_greedy_decoder_seq_len.CTCGreedyDecoderSeqLenOp'>
[ INFO ]  Registered a new subclass with key: CTCGreedyDecoderSeqLen
[ INFO ]  New subclass: <class 'extensions.ops.ctc_loss.CTCLoss'>
[ INFO ]  Registered a new subclass with key: CTCLoss
[ INFO ]  New subclass: <class 'extensions.ops.cumsum.CumSum'>
[ INFO ]  Registered a new subclass with key: CumSum
[ INFO ]  New subclass: <class 'extensions.ops.cumsum.MXNetCumSum'>
[ INFO ]  Registered a new subclass with key: MXNetCumSum
[ INFO ]  New subclass: <class 'extensions.ops.data_augmentation.DataAugmentationOp'>
[ INFO ]  Registered a new subclass with key: DataAugmentation
[ INFO ]  New subclass: <class 'extensions.ops.depth_to_space.DepthToSpaceOp'>
[ INFO ]  Registered a new subclass with key: DepthToSpace
[ INFO ]  New subclass: <class 'extensions.ops.dequantize_linear.DequantizeLinear'>
[ INFO ]  Registered a new subclass with key: DequantizeLinear
[ INFO ]  New subclass: <class 'extensions.ops.detectionoutput_onnx.ExperimentalDetectronDetectionOutput'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronDetectionOutput
[ INFO ]  New subclass: <class 'extensions.ops.elementwise.Elementwise'>
[ INFO ]  New subclass: <class 'extensions.ops.embedding_bag.EmbeddingBagBase'>
[ INFO ]  New subclass: <class 'extensions.ops.fake_output.FakeOutput'>
[ INFO ]  Registered a new subclass with key: FakeOutput
[ INFO ]  New subclass: <class 'extensions.ops.fakequantize.FakeQuantize'>
[ INFO ]  Registered a new subclass with key: FakeQuantize
[ INFO ]  New subclass: <class 'extensions.ops.gatherelements.GatherElements'>
[ INFO ]  Registered a new subclass with key: GatherElements
[ INFO ]  New subclass: <class 'extensions.ops.gathernd.GatherND'>
[ INFO ]  Registered a new subclass with key: GatherND
[ INFO ]  New subclass: <class 'extensions.ops.gelu.GeLUOP'>
[ INFO ]  Registered a new subclass with key: Gelu
[ INFO ]  New subclass: <class 'extensions.ops.grn.GRNOp'>
[ INFO ]  Registered a new subclass with key: GRN
[ INFO ]  New subclass: <class 'extensions.ops.hard_sigmoid.HardSigmoid'>
[ INFO ]  Registered a new subclass with key: HardSigmoid
[ INFO ]  New subclass: <class 'extensions.ops.identity.Identity'>
[ INFO ]  Registered a new subclass with key: Identity
[ INFO ]  New subclass: <class 'extensions.ops.identity.IdentityN'>
[ INFO ]  Registered a new subclass with key: IdentityN
[ INFO ]  New subclass: <class 'extensions.ops.instance_normalization.InstanceNormalization'>
[ INFO ]  Registered a new subclass with key: InstanceNormalization
[ INFO ]  New subclass: <class 'extensions.ops.interp.InterpOp'>
[ INFO ]  Registered a new subclass with key: Interp
[ INFO ]  New subclass: <class 'extensions.ops.interpolate.Interpolate'>
[ INFO ]  Registered a new subclass with key: Interpolate
[ INFO ]  New subclass: <class 'extensions.ops.lstm_cell.LSTMCell'>
[ INFO ]  Registered a new subclass with key: LSTMCell
[ INFO ]  New subclass: <class 'extensions.ops.lstm_sequence.LSTMSequence'>
[ INFO ]  Registered a new subclass with key: LSTMSequence
[ INFO ]  New subclass: <class 'extensions.ops.merge.Merge'>
[ INFO ]  Registered a new subclass with key: Merge
[ INFO ]  New subclass: <class 'extensions.ops.mvn.MVN'>
[ INFO ]  Registered a new subclass with key: MVN
[ INFO ]  New subclass: <class 'extensions.ops.mvn.MVNOnnx'>
[ INFO ]  Registered a new subclass with key: MVNOnnx
[ INFO ]  New subclass: <class 'extensions.ops.mvn.MVNCaffe'>
[ INFO ]  Registered a new subclass with key: MVNCaffe
[ INFO ]  New subclass: <class 'extensions.ops.mxrepeat.MXRepeat'>
[ INFO ]  Registered a new subclass with key: MXRepeat
[ INFO ]  New subclass: <class 'extensions.ops.mxreshape.MXReshape'>
[ INFO ]  Registered a new subclass with key: MXReshape
[ INFO ]  New subclass: <class 'extensions.ops.non_max_suppression.NonMaxSuppression'>
[ INFO ]  Registered a new subclass with key: NonMaxSuppression
[ INFO ]  New subclass: <class 'extensions.ops.non_zero.NonZero'>
[ INFO ]  Registered a new subclass with key: NonZero
[ INFO ]  New subclass: <class 'extensions.ops.normalize.NormalizeOp'>
[ INFO ]  Registered a new subclass with key: Normalize
[ INFO ]  New subclass: <class 'extensions.ops.normalize_l2.NormalizeL2Op'>
[ INFO ]  Registered a new subclass with key: NormalizeL2
[ INFO ]  New subclass: <class 'extensions.ops.one_hot.OneHot'>
[ INFO ]  Registered a new subclass with key: OneHot
[ INFO ]  New subclass: <class 'extensions.ops.pack.PackOp'>
[ INFO ]  Registered a new subclass with key: Pack
[ INFO ]  New subclass: <class 'extensions.ops.pnorm.PNormOp'>
[ INFO ]  Registered a new subclass with key: pnorm
[ INFO ]  New subclass: <class 'extensions.ops.power_file.PowerFileOp'>
[ INFO ]  Registered a new subclass with key: PowerFile
[ INFO ]  New subclass: <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'>
[ INFO ]  Registered a new subclass with key: PredictionHeatmap
[ INFO ]  New subclass: <class 'extensions.ops.prelu.PReLU'>
[ INFO ]  Registered a new subclass with key: PReLU
[ INFO ]  New subclass: <class 'extensions.ops.priorbox.PriorBoxOp'>
[ INFO ]  Registered a new subclass with key: PriorBox
[ INFO ]  New subclass: <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'>
[ INFO ]  Registered a new subclass with key: PriorBoxClustered
[ INFO ]  New subclass: <class 'extensions.ops.priorgridgenerator_onnx.ExperimentalDetectronPriorGridGenerator'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronPriorGridGenerator
[ INFO ]  New subclass: <class 'extensions.ops.proposal.ProposalOp'>
[ INFO ]  Registered a new subclass with key: Proposal
[ INFO ]  New subclass: <class 'extensions.ops.proposal_onnx.ExperimentalDetectronGenerateProposalsSingleImage'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronGenerateProposalsSingleImage
[ INFO ]  New subclass: <class 'extensions.ops.psroipooling.PSROIPoolingOp'>
[ INFO ]  Registered a new subclass with key: PSROIPooling
[ INFO ]  New subclass: <class 'extensions.ops.quantize_linear.QuantizeLinear'>
[ INFO ]  Registered a new subclass with key: QuantizeLinear
[ INFO ]  New subclass: <class 'extensions.ops.range.Range'>
[ INFO ]  Registered a new subclass with key: Range
[ INFO ]  New subclass: <class 'extensions.ops.rank.Rank'>
[ INFO ]  Registered a new subclass with key: Rank
[ INFO ]  New subclass: <class 'extensions.ops.regionyolo.RegionYoloOp'>
[ INFO ]  Registered a new subclass with key: RegionYolo
[ INFO ]  New subclass: <class 'extensions.ops.reorgyolo.ReorgYoloOp'>
[ INFO ]  Registered a new subclass with key: ReorgYolo
[ INFO ]  New subclass: <class 'extensions.ops.resize.ResizeOp'>
[ INFO ]  Registered a new subclass with key: Resize
[ INFO ]  New subclass: <class 'extensions.ops.reverse_sequence.ReverseSequence'>
[ INFO ]  Registered a new subclass with key: ReverseSequence
[ INFO ]  New subclass: <class 'extensions.ops.roialign.ROIAlign'>
[ INFO ]  Registered a new subclass with key: ROIAlign
[ INFO ]  New subclass: <class 'extensions.ops.roifeatureextractor_onnx.ExperimentalDetectronROIFeatureExtractor'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronROIFeatureExtractor
[ INFO ]  New subclass: <class 'extensions.ops.scatter.Scatter'>
[ INFO ]  New subclass: <class 'extensions.ops.scatternd.ScatterNDBase'>
[ INFO ]  New subclass: <class 'extensions.ops.select.Select'>
[ INFO ]  Registered a new subclass with key: Select
[ INFO ]  New subclass: <class 'extensions.ops.shufflechannel.ShuffleChannels'>
[ INFO ]  Registered a new subclass with key: ShuffleChannels
[ INFO ]  New subclass: <class 'extensions.ops.simplernms.SimplerNMSOp'>
[ INFO ]  Registered a new subclass with key: SimplerNMS
[ INFO ]  New subclass: <class 'extensions.ops.size.Size'>
[ INFO ]  Registered a new subclass with key: Size
[ INFO ]  New subclass: <class 'extensions.ops.slice_like.SliceLike'>
[ INFO ]  Registered a new subclass with key: slice_like
[ INFO ]  New subclass: <class 'extensions.ops.space_to_depth.SpaceToDepth'>
[ INFO ]  Registered a new subclass with key: SpaceToDepth
[ INFO ]  New subclass: <class 'extensions.ops.sparse_fill_empty_rows.SparseFillEmptyRows'>
[ INFO ]  Registered a new subclass with key: SparseFillEmptyRows
[ INFO ]  New subclass: <class 'extensions.ops.sparse_reshape.SparseReshape'>
[ INFO ]  Registered a new subclass with key: SparseReshape
[ INFO ]  New subclass: <class 'extensions.ops.sparse_segment_mean.SparseSegmentMean'>
[ INFO ]  Registered a new subclass with key: SparseSegmentMean
[ INFO ]  New subclass: <class 'extensions.ops.sparse_segment_sqrtn.SparseSegmentSqrtN'>
[ INFO ]  Registered a new subclass with key: SparseSegmentSqrtN
[ INFO ]  New subclass: <class 'extensions.ops.sparse_segment_sum.SparseSegmentSum'>
[ INFO ]  Registered a new subclass with key: SparseSegmentSum
[ INFO ]  New subclass: <class 'extensions.ops.spatial_transformer.SpatialTransformOp'>
[ INFO ]  Registered a new subclass with key: SpatialTransformer
[ INFO ]  New subclass: <class 'extensions.ops.splice.Splice'>
[ INFO ]  Registered a new subclass with key: Splice
[ INFO ]  New subclass: <class 'extensions.ops.split.VariadicSplitBase'>
[ INFO ]  New subclass: <class 'extensions.ops.split.SplitBase'>
[ INFO ]  New subclass: <class 'extensions.ops.stop_gradient.StopGradientOp'>
[ INFO ]  Registered a new subclass with key: StopGradient
[ INFO ]  New subclass: <class 'extensions.ops.swapaxis.SwapAxis'>
[ INFO ]  Registered a new subclass with key: SwapAxis
[ INFO ]  New subclass: <class 'extensions.ops.switch.Switch'>
[ INFO ]  Registered a new subclass with key: Switch
[ INFO ]  New subclass: <class 'extensions.ops.topk.TopK'>
[ INFO ]  Registered a new subclass with key: TopK
[ INFO ]  New subclass: <class 'extensions.ops.topkrois_onnx.ExperimentalDetectronTopKROIs'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronTopKROIs
[ INFO ]  New subclass: <class 'extensions.ops.unique.Unique'>
[ INFO ]  Registered a new subclass with key: Unique
[ INFO ]  New subclass: <class 'extensions.ops.upsample.UpsampleOp'>
[ INFO ]  Registered a new subclass with key: Upsample
[ WARNING ]  Skipped <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.analysis.boolean_input.TrainingPhaseAnalysis'>
[ INFO ]  New subclass: <class 'extensions.analysis.inputs.InputsAnalysis'>
[ INFO ]  New subclass: <class 'extensions.analysis.json_print.AnalysisJSONPrint'>
[ INFO ]  New subclass: <class 'extensions.analysis.nodes.IntermediatesNodesAnalysis'>
[ INFO ]  New subclass: <class 'extensions.analysis.tf_od_api.TensorFlowObjectDetectionAPIAnalysis'>
[ INFO ]  New subclass: <class 'extensions.analysis.tf_retinanet.TensorFlowRetinaNet'>
[ INFO ]  New subclass: <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV1V2Analysis'>
[ INFO ]  New subclass: <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV3Analysis'>
[ WARNING ]  Skipped <class 'extensions.load.loader.LoadFinish'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.load.tf.loader.TFLoader'>
[ 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.AttributedGatherNormalizer.AttributedGatherNormalizer'>
[ INFO ]  Registered a new subclass with key: AttributedGather
[ INFO ]  New subclass: <class 'extensions.front.InterpolateNormalizer.InterpolateNormalizer'>
[ INFO ]  Registered a new subclass with key: Interpolate
[ INFO ]  New subclass: <class 'extensions.front.Log1p.Log1p'>
[ INFO ]  Registered a new subclass with key: Log1p
[ INFO ]  New subclass: <class 'extensions.front.Pack.Pack'>
[ INFO ]  Registered a new subclass with key: Pack
[ INFO ]  New subclass: <class 'extensions.front.PowerToEltwises.PowerToEltwises'>
[ INFO ]  Registered a new subclass with key: AttributedPower
[ INFO ]  New subclass: <class 'extensions.front.tf.FakeQuantWithMinMaxVars.FakeQuantWithMinMaxVarsToQuantize'>
[ INFO ]  Registered a new subclass with key: FakeQuantWithMinMaxVars
[ INFO ]  New subclass: <class 'extensions.front.eltwise_n.EltwiseNReplacement'>
[ INFO ]  Registered a new subclass with key: EltwiseN
[ INFO ]  New subclass: <class 'extensions.front.rank_decomposer.RankDecomposer'>
[ INFO ]  Registered a new subclass with key: Rank
[ INFO ]  New subclass: <class 'extensions.front.image_scaler.ImageScaler'>
[ INFO ]  Registered a new subclass with key: ImageScaler
[ INFO ]  New subclass: <class 'extensions.front.instance_normalization.InstanceNormalization'>
[ INFO ]  Registered a new subclass with key: InstanceNormalization
[ INFO ]  New subclass: <class 'extensions.front.reciprocal.ReciprocalReplacer'>
[ INFO ]  Registered a new subclass with key: Reciprocal
[ INFO ]  New subclass: <class 'extensions.front.softsign_replacer.SoftSign'>
[ INFO ]  Registered a new subclass with key: Softsign
[ INFO ]  New subclass: <class 'extensions.front.split_normalizer.SqueezeAxis'>
[ INFO ]  Registered a new subclass with key: UnknownOp
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.user_data_repack.UserDataRepack'> 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. 
[ INFO ]  New subclass: <class 'extensions.front.ATenToEmbeddingBag.AtenToEmbeddingBag'>
[ INFO ]  New subclass: <class 'extensions.front.AttributedClampNormalizer.AttributedClampNormalizer'>
[ INFO ]  New subclass: <class 'extensions.front.AttributedPadToPad.AttributedPadToPad'>
[ INFO ]  New subclass: <class 'extensions.front.ChangePlaceholderTypes.ChangePlaceholderTypes'>
[ INFO ]  New subclass: <class 'extensions.front.ExpandDimsToUnsqueeze.ExpandDimsToUnsqueeze'>
[ INFO ]  New subclass: <class 'extensions.front.FillToBroadcast.FillToBroadcast'>
[ INFO ]  New subclass: <class 'extensions.front.GeLUMerger_Erf.GeLUMergerErf'>
[ INFO ]  New subclass: <class 'extensions.front.InterpolateV1ToInterpolate.InterpolateV1ToInterpolate'>
[ INFO ]  New subclass: <class 'extensions.front.LayerNorm.LayerNorm'>
[ INFO ]  New subclass: <class 'extensions.front.pass_separator.FrontStart'>
[ INFO ]  New subclass: <class 'extensions.front.pass_separator.FrontFinish'>
[ INFO ]  New subclass: <class 'extensions.front.OneHotDepthNormalizer.OneHotDepthNormalizer'>
[ INFO ]  New subclass: <class 'extensions.front.SqueezeNormalize.SqueezeNormalize'>
[ INFO ]  New subclass: <class 'extensions.front.ThresholdedReluDecomposition.ThresholdedReluDecomposition'>
[ INFO ]  New subclass: <class 'extensions.front.TopKNormalize.TopKNormalize'>
[ INFO ]  New subclass: <class 'extensions.front.tf.pad_tf_to_pad.PadTFToPad'>
[ INFO ]  New subclass: <class 'extensions.front.binary_quantize_normalization.BinaryFakeQuantizeNormalization'>
[ INFO ]  New subclass: <class 'extensions.front.create_tensor_nodes.CreateTensorNodes'>
[ INFO ]  New subclass: <class 'extensions.front.disable_weights_quantize_value_propagation.DisableQuantizeValuePropagation'>
[ INFO ]  New subclass: <class 'extensions.front.div.Div'>
[ INFO ]  New subclass: <class 'extensions.front.global_pooling_to_reduce.GlobalPoolingToReduce'>
[ INFO ]  Registered a new subclass with key: Pooling
[ INFO ]  New subclass: <class 'extensions.front.input_cut.InputCut'>
[ INFO ]  New subclass: <class 'extensions.front.interpolate_reshape.InterpolateWithConcat'>
[ INFO ]  New subclass: <class 'extensions.front.output_cut.OutputCut'>
[ INFO ]  New subclass: <class 'extensions.front.override_batch.OverrideBatch'>
[ INFO ]  New subclass: <class 'extensions.front.scatter_normalizer.ScatterNormalizer'>
[ INFO ]  New subclass: <class 'extensions.front.sub.Sub'>
[ INFO ]  New subclass: <class 'extensions.front.transformations_config.TransformationsConfig'>
[ 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. 
[ INFO ]  New subclass: <class 'extensions.front.ArgMaxSqueeze.ArgMaxSqueeze'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.front.ChangeCastOutputType.ChangeCastOutputType'>
[ INFO ]  New subclass: <class 'extensions.front.DropoutWithRandomUniformReplacer.DropoutWithRandomUniformReplacer'>
[ INFO ]  New subclass: <class 'extensions.front.GeLUMerger_Tanh.GeLUMergerTanh'>
[ INFO ]  New subclass: <class 'extensions.front.HSigmoid_fusion.HSigmoidWithClamp'>
[ INFO ]  New subclass: <class 'extensions.front.HSigmoid_fusion.HSigmoidWithMinMax'>
[ INFO ]  New subclass: <class 'extensions.front.HSigmoid_fusion.HSigmoidWithReluDiv'>
[ INFO ]  New subclass: <class 'extensions.front.HSigmoid_fusion.HSigmoidWithReluMul'>
[ INFO ]  New subclass: <class 'extensions.front.HSwish_fusion.HSwishWithClamp'>
[ INFO ]  New subclass: <class 'extensions.front.HSwish_fusion.HSwishWithMinMax'>
[ INFO ]  New subclass: <class 'extensions.front.MatMul_normalizer.FullyConnectedDecomposer'>
[ INFO ]  New subclass: <class 'extensions.front.MatMul_normalizer.GemmDecomposer'>
[ INFO ]  New subclass: <class 'extensions.front.Softplus_fusion.SoftplusFusion'>
[ INFO ]  New subclass: <class 'extensions.front.Mish_fusion.MishFusion'>
[ INFO ]  New subclass: <class 'extensions.front.restore_ports.RestorePorts'>
[ INFO ]  New subclass: <class 'extensions.front.MoveEmbeddedInputsToInputs.MoveEmbeddedInputsToInputs'>
[ INFO ]  New subclass: <class 'extensions.front.Swish_fusion.SwishWithSigmoidWithoutBeta'>
[ INFO ]  New subclass: <class 'extensions.front.Swish_fusion.SwishWithSigmoidWithBeta'>
[ INFO ]  New subclass: <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
[ INFO ]  New subclass: <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ INFO ]  New subclass: <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ INFO ]  New subclass: <class 'extensions.front.broadcast_with_range.ExpandRangeConstant'>
[ INFO ]  New subclass: <class 'extensions.front.flatten_to_reshape.FlattenToReshape'>
[ INFO ]  New subclass: <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'>
[ INFO ]  New subclass: <class 'extensions.front.non_max_suppression_normalize.NonMaxSuppressionNormalize'>
[ INFO ]  New subclass: <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'>
[ INFO ]  New subclass: <class 'extensions.front.reshape_dim_normalizer.ReshapeDimNormalizer'>
[ INFO ]  New subclass: <class 'extensions.front.softmax.SoftmaxFromKeras'>
[ INFO ]  New subclass: <class 'extensions.front.split_normalizer.SplitInputsReconnect'>
[ INFO ]  New subclass: <class 'extensions.front.split_normalizer.AttributedSplitToSplit'>
[ INFO ]  New subclass: <class 'extensions.front.split_normalizer.AttributedVariadicSplitToVariadicSplit'>
[ INFO ]  New subclass: <class 'extensions.front.split_normalizer.VariadicSplitInputsSwap'>
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.YOLO.YoloRegionAddon'>
[ INFO ]  New subclass: <class 'extensions.front.YOLO.YoloV3RegionAddon'>
[ 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.BatchMatMul_ext.BatchMatMulExtractor'>
[ INFO ]  Registered a new subclass with key: BatchMatMul
[ INFO ]  New subclass: <class 'extensions.front.tf.BatchMatMul_ext.BatchMatMulV2Extractor'>
[ INFO ]  Registered a new subclass with key: BatchMatMulV2
[ INFO ]  New subclass: <class 'extensions.front.tf.BlockLSTM_ext.BlockLSTMExtractor'>
[ INFO ]  Registered a new subclass with key: BlockLSTM
[ 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.CTCLoss_ext.CTCLossFrontExtractor'>
[ INFO ]  Registered a new subclass with key: CTCLoss
[ 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.FakeQuantWithMinMaxVars_ext.FakeQuantWithMinMaxVarsExtractor'>
[ INFO ]  Registered a new subclass with key: FakeQuantWithMinMaxVars
[ INFO ]  New subclass: <class 'extensions.front.tf.FakeQuantWithMinMaxVars_ext.FakeQuantWithMinMaxVarsPerChannelExtractor'>
[ INFO ]  Registered a new subclass with key: FakeQuantWithMinMaxVarsPerChannel
[ INFO ]  New subclass: <class 'extensions.front.tf.GatherTree_ext.GatherTreeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: GatherTree
[ INFO ]  New subclass: <class 'extensions.front.tf.IteratorGetNext_ext.IteratorGetNextExtractor'>
[ INFO ]  Registered a new subclass with key: IteratorGetNext
[ INFO ]  New subclass: <class 'extensions.front.tf.LookupTableInsert_ext.LookupTableInsertFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LookupTableInsert
[ INFO ]  New subclass: <class 'extensions.front.tf.LookupTableInsert_ext.LookupTableInsertV2FrontExtractor'>
[ INFO ]  Registered a new subclass with key: LookupTableInsertV2
[ INFO ]  New subclass: <class 'extensions.front.tf.LoopCond_ext.LoopCondFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LoopCond
[ INFO ]  New subclass: <class 'extensions.front.tf.TensorArrayExtractors.TensorArrayExtractor'>
[ INFO ]  Registered a new subclass with key: TensorArrayV3
[ INFO ]  New subclass: <class 'extensions.front.tf.TensorArrayGatherV3.TensorArrayGatherV3Exteractor'>
[ INFO ]  Registered a new subclass with key: TensorArrayGatherV3
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.AbsExtractor'>
[ INFO ]  Registered a new subclass with key: Abs
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.EluFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Elu
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.ErfFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Erf
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.ExpExtractor'>
[ INFO ]  Registered a new subclass with key: Exp
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.LeakyReLUFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LeakyRelu
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.LogicalNotFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LogicalNot
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.Relu6FrontExtractor'>
[ INFO ]  Registered a new subclass with key: Relu6
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.ReluFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Relu
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.SigmoidFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Sigmoid
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.CosFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Cos
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.CoshFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Cosh
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.AcoshFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Acosh
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.SinFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Sin
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.SinhFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Sinh
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.AsinhFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Asinh
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.TanFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Tan
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.TanhFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Tanh
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.AtanhFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Atanh
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.CeilExtractor'>
[ INFO ]  Registered a new subclass with key: Ceil
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.MishExtractor'>
[ INFO ]  Registered a new subclass with key: Mish
[ INFO ]  New subclass: <class 'extensions.front.tf.activation_ext.LogExtractor'>
[ INFO ]  Registered a new subclass with key: Log
[ INFO ]  New subclass: <class 'extensions.front.tf.argmax_ext.ArgMaxFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.front.tf.batch_to_space_ext.SpaceToBatchFrontExtractor'>
[ INFO ]  Registered a new subclass with key: BatchToSpaceND
[ INFO ]  New subclass: <class 'extensions.front.tf.broadcast_ext.BroadcastExtractor'>
[ INFO ]  Registered a new subclass with key: BroadcastTo
[ INFO ]  New subclass: <class 'extensions.front.tf.bucketize_ext.BucketizeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Bucketize
[ 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.const_ext.ConstExtractor'>
[ INFO ]  Registered a new subclass with key: Const
[ 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.conv_ext.DepthwiseConv2dNativeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: DepthwiseConv2dNative
[ 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.crop_and_resize_ext.CropAndResizeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: CropAndResize
[ INFO ]  New subclass: <class 'extensions.front.tf.cumsum_ext.CumSumExtractor'>
[ INFO ]  Registered a new subclass with key: Cumsum
[ 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.deconv_ext.Conv3DBackpropInputV2InputFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Conv3DBackpropInputV2
[ 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.elementwise_ext.AddExtractor'>
[ INFO ]  Registered a new subclass with key: Add
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.AddV2Extractor'>
[ INFO ]  Registered a new subclass with key: AddV2
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.AddNExtractor'>
[ INFO ]  Registered a new subclass with key: AddN
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.BiasAddExtractor'>
[ INFO ]  Registered a new subclass with key: BiasAdd
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.MulExtractor'>
[ INFO ]  Registered a new subclass with key: Mul
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.SubExtractor'>
[ INFO ]  Registered a new subclass with key: Sub
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.DivExtractor'>
[ INFO ]  Registered a new subclass with key: RealDiv
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.SquaredDifferenceExtractor'>
[ INFO ]  Registered a new subclass with key: SquaredDifference
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.SqrtExtractor'>
[ INFO ]  Registered a new subclass with key: Sqrt
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.RsqrtExtractor'>
[ INFO ]  Registered a new subclass with key: Rsqrt
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.SquareExtractor'>
[ INFO ]  Registered a new subclass with key: Square
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.NegExtractor'>
[ INFO ]  Registered a new subclass with key: Neg
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.ZerosLike'>
[ INFO ]  Registered a new subclass with key: ZerosLike
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.MaximumExtractor'>
[ INFO ]  Registered a new subclass with key: Maximum
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.MinimumExtractor'>
[ INFO ]  Registered a new subclass with key: Minimum
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.PowExtractor'>
[ INFO ]  Registered a new subclass with key: Pow
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.LogicalAndFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LogicalAnd
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.LogicalOrFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LogicalOr
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.EqualExtractor'>
[ INFO ]  Registered a new subclass with key: Equal
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.LessEqualExtractor'>
[ INFO ]  Registered a new subclass with key: LessEqual
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.LessExtractor'>
[ INFO ]  Registered a new subclass with key: Less
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.GreaterExtractor'>
[ INFO ]  Registered a new subclass with key: Greater
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.GreaterEqualExtractor'>
[ INFO ]  Registered a new subclass with key: GreaterEqual
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.NotEqualExtractor'>
[ INFO ]  Registered a new subclass with key: NotEqual
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.FloorModFrontExtractor'>
[ INFO ]  Registered a new subclass with key: FloorMod
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.RoundExtractor'>
[ INFO ]  Registered a new subclass with key: Round
[ INFO ]  New subclass: <class 'extensions.front.tf.expand_dims_ext.ExpandDimsExtractor'>
[ INFO ]  Registered a new subclass with key: ExpandDims
[ INFO ]  New subclass: <class 'extensions.front.tf.extract_image_patches_ext.ExtractImagePatchesExtractor'>
[ INFO ]  Registered a new subclass with key: ExtractImagePatches
[ 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.fill_ext.FillExtractor'>
[ INFO ]  Registered a new subclass with key: Fill
[ INFO ]  New subclass: <class 'extensions.front.tf.floor_ext.FloorExtractor'>
[ INFO ]  Registered a new subclass with key: Floor
[ 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.gather_ext.ResourceGatherFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ResourceGather
[ 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.gathernd_ext.GatherNDFrontExtractor'>
[ INFO ]  Registered a new subclass with key: GatherNd
[ INFO ]  New subclass: <class 'extensions.front.tf.identity_ext.IdentityFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Identity
[ INFO ]  New subclass: <class 'extensions.front.tf.identity_ext.IdentityNFrontExtractor'>
[ INFO ]  Registered a new subclass with key: IdentityN
[ INFO ]  New subclass: <class 'extensions.front.tf.identity_ext.ReadVariableOpFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ReadVariableOp
[ INFO ]  New subclass: <class 'extensions.front.tf.identity_ext.StopGradientExtractor'>
[ INFO ]  Registered a new subclass with key: StopGradient
[ INFO ]  New subclass: <class 'extensions.front.tf.log_softmax_ext.LogSoftmaxExtractor'>
[ INFO ]  Registered a new subclass with key: LogSoftmax
[ INFO ]  New subclass: <class 'extensions.front.tf.lrn_ext.LRNExtractor'>
[ INFO ]  Registered a new subclass with key: LRN
[ INFO ]  New subclass: <class 'extensions.front.tf.matmul_ext.MatMulExtractor'>
[ INFO ]  Registered a new subclass with key: MatMul
[ 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.non_max_suppression_ext.NonMaxSuppressionV2Extractor'>
[ INFO ]  Registered a new subclass with key: NonMaxSuppressionV2
[ INFO ]  New subclass: <class 'extensions.front.tf.non_max_suppression_ext.NonMaxSuppressionV3Extractor'>
[ INFO ]  Registered a new subclass with key: NonMaxSuppressionV3
[ INFO ]  New subclass: <class 'extensions.front.tf.non_max_suppression_ext.NonMaxSuppressionV4Extractor'>
[ INFO ]  Registered a new subclass with key: NonMaxSuppressionV4
[ INFO ]  New subclass: <class 'extensions.front.tf.non_max_suppression_ext.NonMaxSuppressionV5Extractor'>
[ INFO ]  Registered a new subclass with key: NonMaxSuppressionV5
[ INFO ]  New subclass: <class 'extensions.front.tf.one_hot_ext.OneHotFrontExtractor'>
[ INFO ]  Registered a new subclass with key: OneHot
[ 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.pad_ext.PadV2FrontExtractor'>
[ INFO ]  Registered a new subclass with key: PadV2
[ 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.placeholder_ext.PlaceholderFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Placeholder
[ INFO ]  New subclass: <class 'extensions.front.tf.placeholder_with_default_ext.PlaceholderWithDefaultExtractor'>
[ INFO ]  Registered a new subclass with key: PlaceholderWithDefault
[ INFO ]  New subclass: <class 'extensions.front.tf.pooling_ext.AvgPoolFrontExtractor'>
[ INFO ]  Registered a new subclass with key: AvgPool
[ 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.pooling_ext.MaxPool3DFrontExtractor'>
[ INFO ]  Registered a new subclass with key: MaxPool3D
[ 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.pooling_ext.AvgPoolV2FrontExtractor'>
[ INFO ]  Registered a new subclass with key: AvgPoolV2
[ INFO ]  New subclass: <class 'extensions.front.tf.pooling_ext.MaxPoolV2FrontExtractor'>
[ INFO ]  Registered a new subclass with key: MaxPoolV2
[ INFO ]  New subclass: <class 'extensions.front.tf.range_ext.RangeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Range
[ INFO ]  New subclass: <class 'extensions.front.tf.reduce_ext.AllFrontExtractor'>
[ INFO ]  Registered a new subclass with key: All
[ INFO ]  New subclass: <class 'extensions.front.tf.reduce_ext.MaxFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Max
[ INFO ]  New subclass: <class 'extensions.front.tf.reduce_ext.MeanExtractor'>
[ INFO ]  Registered a new subclass with key: Mean
[ INFO ]  New subclass: <class 'extensions.front.tf.reduce_ext.ProdFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Prod
[ INFO ]  New subclass: <class 'extensions.front.tf.reduce_ext.SumFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Sum
[ INFO ]  New subclass: <class 'extensions.front.tf.reduce_ext.EuclideanNormFrontExtractor'>
[ INFO ]  Registered a new subclass with key: EuclideanNorm
[ INFO ]  New subclass: <class 'extensions.front.tf.reshape_related_ext.RankFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Rank
[ INFO ]  New subclass: <class 'extensions.front.tf.reshape_related_ext.ReshapeExtractor'>
[ INFO ]  Registered a new subclass with key: Reshape
[ INFO ]  New subclass: <class 'extensions.front.tf.reshape_related_ext.ShapeExtractor'>
[ INFO ]  Registered a new subclass with key: Shape
[ INFO ]  New subclass: <class 'extensions.front.tf.reshape_related_ext.SizeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Size
[ INFO ]  New subclass: <class 'extensions.front.tf.reshape_related_ext.SqueezeExtractor'>
[ INFO ]  Registered a new subclass with key: Squeeze
[ 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.resize_nearest_neighbor.ResizeNearestNeighborFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ResizeNearestNeighbor
[ INFO ]  New subclass: <class 'extensions.front.tf.reverse_sequence.ReverseSequenceFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ReverseSequence
[ 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.select_ext.SelectExtractor'>
[ INFO ]  Registered a new subclass with key: Select
[ INFO ]  New subclass: <class 'extensions.front.tf.sign_ext.SignExtractor'>
[ INFO ]  Registered a new subclass with key: Sign
[ 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.softmax_ext.SoftmaxExtractor'>
[ INFO ]  Registered a new subclass with key: Softmax
[ INFO ]  New subclass: <class 'extensions.front.tf.softplus_ext.SoftPlusExtractor'>
[ INFO ]  Registered a new subclass with key: Softplus
[ INFO ]  New subclass: <class 'extensions.front.tf.space_to_batch_ext.SpaceToBatchFrontExtractor'>
[ INFO ]  Registered a new subclass with key: SpaceToBatchND
[ INFO ]  New subclass: <class 'extensions.front.tf.space_to_depth_ext.SpaceToDepthFrontExtractor'>
[ INFO ]  Registered a new subclass with key: SpaceToDepth
[ INFO ]  New subclass: <class 'extensions.front.tf.sparse_fill_empty_rows_ext.SparseFillEmptyRowsFrontExtractor'>
[ INFO ]  Registered a new subclass with key: SparseFillEmptyRows
[ INFO ]  New subclass: <class 'extensions.front.tf.sparse_segment_mean_ext.SparseSegmentMeanFrontExtractor'>
[ INFO ]  Registered a new subclass with key: SparseSegmentMean
[ INFO ]  New subclass: <class 'extensions.front.tf.sparse_segment_sqrtn_ext.SparseSegmentSqrtNFrontExtractor'>
[ INFO ]  Registered a new subclass with key: SparseSegmentSqrtN
[ INFO ]  New subclass: <class 'extensions.front.tf.sparse_segment_sum_ext.SparseSegmentSumFrontExtractor'>
[ INFO ]  Registered a new subclass with key: SparseSegmentSum
[ 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.split_ext.UnpackExtractor'>
[ INFO ]  Registered a new subclass with key: Unpack
[ INFO ]  New subclass: <class 'extensions.front.tf.split_ext.SplitExtractor'>
[ INFO ]  Registered a new subclass with key: Split
[ INFO ]  New subclass: <class 'extensions.front.tf.swish_ext.SwishExtractor'>
[ INFO ]  Registered a new subclass with key: swish_f32
[ 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.topk_ext.TopKExtractor'>
[ INFO ]  Registered a new subclass with key: TopK
[ INFO ]  New subclass: <class 'extensions.front.tf.topk_ext.TopKV2Extractor'>
[ INFO ]  Registered a new subclass with key: TopKV2
[ INFO ]  New subclass: <class 'extensions.front.tf.transpose_ext.TransposeFrontExtractorTF'>
[ INFO ]  Registered a new subclass with key: Transpose
[ INFO ]  New subclass: <class 'extensions.front.tf.unique_ext.UniqueFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Unique
[ 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.variable_ext.VariableV2Extractor'>
[ INFO ]  Registered a new subclass with key: VariableV2
[ INFO ]  New subclass: <class 'extensions.front.tf.while_ext.WhileExtractor'>
[ INFO ]  Registered a new subclass with key: While
[ INFO ]  New subclass: <class 'extensions.front.tf.while_ext.StatelessWhileExtractor'>
[ INFO ]  Registered a new subclass with key: StatelessWhile
[ WARNING ]  Skipped <class 'extensions.front.AttributedGatherNormalizer.AttributedGatherNormalizer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.InterpolateNormalizer.InterpolateNormalizer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.Log1p.Log1p'> 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.PowerToEltwises.PowerToEltwises'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.FakeQuantWithMinMaxVars.FakeQuantWithMinMaxVarsToQuantize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.eltwise_n.EltwiseNReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.rank_decomposer.RankDecomposer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.image_scaler.ImageScaler'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.reciprocal.ReciprocalReplacer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.softsign_replacer.SoftSign'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.split_normalizer.SqueezeAxis'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.BlockLSTM.BlockLSTM'>
[ INFO ]  Registered a new subclass with key: BlockLSTM
[ INFO ]  New subclass: <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ INFO ]  Registered a new subclass with key: CropAndResize
[ INFO ]  New subclass: <class 'extensions.front.tf.TFSliceToSlice.TFSliceToSliceReplacer'>
[ INFO ]  Registered a new subclass with key: TFSlice
[ INFO ]  New subclass: <class 'extensions.front.tf.SizeReplacer.SizeFrontReplacer'>
[ INFO ]  Registered a new subclass with key: Size
[ INFO ]  New subclass: <class 'extensions.front.tf.TFResizeToInterpolate.TFResizeToInterpolate'>
[ INFO ]  Registered a new subclass with key: TFResize
[ INFO ]  New subclass: <class 'extensions.front.tf.WhereDecomposition.WhereDecomposition'>
[ INFO ]  Registered a new subclass with key: Where
[ INFO ]  New subclass: <class 'extensions.front.tf.fake_const_ext.FakeConstToConst'>
[ INFO ]  Registered a new subclass with key: FakeConst
[ INFO ]  New subclass: <class 'extensions.front.tf.noop.NoOpElimination'>
[ INFO ]  Registered a new subclass with key: NoOp
[ INFO ]  New subclass: <class 'extensions.front.tf.sparse_to_dense_replacer.SparseToDenseReplacer'>
[ INFO ]  Registered a new subclass with key: SparseToDense
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.user_data_repack.UserDataRepack'> 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 'extensions.front.ATenToEmbeddingBag.AtenToEmbeddingBag'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.AttributedClampNormalizer.AttributedClampNormalizer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.AttributedPadToPad.AttributedPadToPad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.ChangePlaceholderTypes.ChangePlaceholderTypes'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.ExpandDimsToUnsqueeze.ExpandDimsToUnsqueeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.FillToBroadcast.FillToBroadcast'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.GeLUMerger_Erf.GeLUMergerErf'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.InterpolateV1ToInterpolate.InterpolateV1ToInterpolate'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.LayerNorm.LayerNorm'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.pass_separator.FrontStart'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.pass_separator.FrontFinish'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.OneHotDepthNormalizer.OneHotDepthNormalizer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.SqueezeNormalize.SqueezeNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.ThresholdedReluDecomposition.ThresholdedReluDecomposition'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.TopKNormalize.TopKNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.pad_tf_to_pad.PadTFToPad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.binary_quantize_normalization.BinaryFakeQuantizeNormalization'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.create_tensor_nodes.CreateTensorNodes'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.disable_weights_quantize_value_propagation.DisableQuantizeValuePropagation'> 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.global_pooling_to_reduce.GlobalPoolingToReduce'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.input_cut.InputCut'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.interpolate_reshape.InterpolateWithConcat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.output_cut.OutputCut'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.override_batch.OverrideBatch'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.scatter_normalizer.ScatterNormalizer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.sub.Sub'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.transformations_config.TransformationsConfig'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.GNMT_DynamicSequenceLengths.GNMT_sequence_lengths'>
[ INFO ]  New subclass: <class 'extensions.front.tf.assign_elimination.AssignAndAssertElimination'>
[ INFO ]  New subclass: <class 'extensions.front.tf.floor_div_decomposition.FloorDivDecomposition'>
[ INFO ]  New subclass: <class 'extensions.front.tf.identityN_to_identity.IdentityN_to_Identity'>
[ INFO ]  New subclass: <class 'extensions.front.tf.space_to_batch.BatchToSpaceNormalizer'>
[ INFO ]  New subclass: <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'>
[ INFO ]  New subclass: <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'>
[ 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 'extensions.front.ArgMaxSqueeze.ArgMaxSqueeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.ChangeCastOutputType.ChangeCastOutputType'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.DropoutWithRandomUniformReplacer.DropoutWithRandomUniformReplacer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.GeLUMerger_Tanh.GeLUMergerTanh'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.HSigmoid_fusion.HSigmoidWithClamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.HSigmoid_fusion.HSigmoidWithMinMax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.HSigmoid_fusion.HSigmoidWithReluDiv'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.HSigmoid_fusion.HSigmoidWithReluMul'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.HSwish_fusion.HSwishWithClamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.HSwish_fusion.HSwishWithMinMax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.MatMul_normalizer.FullyConnectedDecomposer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.MatMul_normalizer.GemmDecomposer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.Softplus_fusion.SoftplusFusion'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.Mish_fusion.MishFusion'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.restore_ports.RestorePorts'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.MoveEmbeddedInputsToInputs.MoveEmbeddedInputsToInputs'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.Swish_fusion.SwishWithSigmoidWithoutBeta'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.Swish_fusion.SwishWithSigmoidWithBeta'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'> 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.standalone_const_eraser.StandaloneConstEraser'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.broadcast_with_range.ExpandRangeConstant'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.flatten_to_reshape.FlattenToReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.non_max_suppression_normalize.NonMaxSuppressionNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.reshape_dim_normalizer.ReshapeDimNormalizer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.softmax.SoftmaxFromKeras'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.split_normalizer.SplitInputsReconnect'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.split_normalizer.AttributedSplitToSplit'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.split_normalizer.AttributedVariadicSplitToVariadicSplit'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.split_normalizer.VariadicSplitInputsSwap'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.BatchToSpaceNDToUpsample.BatchToSpaceToUpsample'>
[ INFO ]  New subclass: <class 'extensions.front.tf.CTCGreedyDecoderReplacement.CTCGreedyDecoderReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.CTCGreedyDecoderReplacement.CTCGreedyDecoderWithSparseToDenseShapeReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.CTCLossReplacement.CTCLossReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ INFO ]  New subclass: <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'>
[ INFO ]  New subclass: <class 'extensions.front.tf.InterpolateTransposes.InterpolateTranspose'>
[ INFO ]  New subclass: <class 'extensions.front.tf.WhileNormalize.WhileNormalize'>
[ INFO ]  New subclass: <class 'extensions.front.tf.KerasRNNTransformation.KerasRNNInputSlicing'>
[ INFO ]  New subclass: <class 'extensions.front.tf.KerasRNNTransformation.KerasRNNOutputConcatenation'>
[ INFO ]  New subclass: <class 'extensions.front.tf.SwitchMergeOptimization.SwitchMergeOptimization'>
[ INFO ]  New subclass: <class 'extensions.front.tf.UnpackPackReverseInputChannels.UnpackPackReverseInputChannels'>
[ INFO ]  New subclass: <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'>
[ INFO ]  New subclass: <class 'extensions.front.tf.bucketize.BucketizeFrontReplacer'>
[ INFO ]  New subclass: <class 'extensions.front.tf.concat.Concat'>
[ INFO ]  New subclass: <class 'extensions.front.tf.embedding_segments_sum.EmbeddingSegmentsSumFrontReplacer'>
[ INFO ]  New subclass: <class 'extensions.front.tf.embedding_segments_sum.EmbeddingSegmentsSumFrontReplacer2'>
[ INFO ]  New subclass: <class 'extensions.front.tf.fifo_replacer.FIFOQueue'>
[ INFO ]  New subclass: <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'>
[ INFO ]  New subclass: <class 'extensions.front.tf.mvn.MVNReplacer'>
[ INFO ]  New subclass: <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'>
[ INFO ]  New subclass: <class 'extensions.front.tf.non_max_suppression_normalize.TFNonMaxSuppressionNormalize'>
[ INFO ]  New subclass: <class 'extensions.front.tf.prelu.PReLUPatternFuse'>
[ INFO ]  New subclass: <class 'extensions.front.tf.prelu.PReLUWithAbsPatternFuse'>
[ INFO ]  New subclass: <class 'extensions.front.tf.swap_deconv_inputs.SwapDeconvInputs'>
[ INFO ]  New subclass: <class 'extensions.front.tf.transposed_mvn_unrolled.TransposedMVNUnrolled'>
[ 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.ObjectDetectionAPIPreprocessorReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'>
[ WARNING ]  Skipped <class 'extensions.front.YOLO.YoloRegionAddon'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.YOLO.YoloV3RegionAddon'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.AutomlEfficientDet.EfficientDet'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessor2Replacement'>
[ 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.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'>
[ WARNING ]  Skipped <class 'extensions.middle.pass_separator.PreMiddleStart'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.pass_separator.MiddleStart'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.pass_separator.MiddleFinish'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.pass_separator.PostMiddleStart'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.InsertLayoutPropagationTransposes.InsertLayoutPropagationTranspose'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.DynamicDecoderConditionMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.MulFakeQuantizeFuse.MulFakeQuantizeFuse'>
[ INFO ]  New subclass: <class 'extensions.middle.AddFakeQuantizeFuse.AddFakeQuantizeFuse'>
[ INFO ]  New subclass: <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'>
[ INFO ]  New subclass: <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'>
[ INFO ]  New subclass: <class 'extensions.middle.LayoutChangeForConstantShapePaths.LayoutChangeForConstantShapePaths'>
[ INFO ]  New subclass: <class 'extensions.middle.ApplyNHWCtoNCHWpermutation.ApplyNHWCtoNCHWpermutation'>
[ INFO ]  New subclass: <class 'extensions.middle.ApplyPermutations.ApplyPermutation'>
[ INFO ]  New subclass: <class 'extensions.middle.ArgMaxToTopK.ArgMaxToTopK'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.middle.AttributedTileNormalizer.AttributedTileNormalizer'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseChecker.EltwiseChecker'>
[ INFO ]  New subclass: <class 'extensions.middle.BiasAddBroadcasting.BiasAddInputBroadcasting'>
[ INFO ]  New subclass: <class 'extensions.middle.CheckForCycle.CheckForCycle'>
[ INFO ]  New subclass: <class 'extensions.middle.DeleteNotExecutable.DeleteNotExecutable'>
[ INFO ]  New subclass: <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'>
[ INFO ]  New subclass: <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.FuseReshapesSequence.FuseReshapesSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveRedundantReshapes.RemoveRedundantReshapes'>
[ INFO ]  New subclass: <class 'extensions.middle.DeleteControlFlowEdges.DeleteControlFlowEdges'>
[ INFO ]  New subclass: <class 'extensions.middle.quantize_fuses.MarkNodesToFuseUpToFakeQuantize'>
[ INFO ]  New subclass: <class 'extensions.middle.quantize_fuses.FakeQuantizeFuse'>
[ INFO ]  New subclass: <class 'extensions.middle.fusings.Fusing'>
[ INFO ]  New subclass: <class 'extensions.middle.ConcatOptimization.ConcatOptimization'>
[ INFO ]  New subclass: <class 'extensions.middle.ConcatOptimization.ConcatOdInputEraserAndPortsReconnect'>
[ INFO ]  New subclass: <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvToBinaryConv.ConvToBinaryConv'>
[ INFO ]  New subclass: <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvertMultiInputConv.ConvertMultiInputConv'>
[ INFO ]  New subclass: <class 'extensions.middle.CustomSubgraphCall.CustomSubgraphCall'>
[ INFO ]  New subclass: <class 'extensions.middle.CutInputHavingZeroDimFromConcat.CutInputHavingZeroDimFromConcat'>
[ INFO ]  New subclass: <class 'extensions.middle.DecomposeBias.DecomposeBias'>
[ INFO ]  New subclass: <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.Deconvolution3rdInputNormalization.Deconvolution3rdInputNormalization'>
[ INFO ]  New subclass: <class 'extensions.middle.DilatedConvolution.DilatedConvolutionConverter'>
[ INFO ]  New subclass: <class 'extensions.middle.DilatedConvolution.DilatedConvolution1DConverter'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ INFO ]  New subclass: <class 'extensions.middle.FakeSplitOutputs.AddFakeOutputsToSplit'>
[ INFO ]  New subclass: <class 'extensions.middle.FakeSplitOutputs.AddFakeOutputsToVariadicSplit'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormTraining.FusedBatchNormTraining'>
[ INFO ]  New subclass: <class 'extensions.middle.GRURNNSequenceToTensorIterator.GRUAndRNNToTensorIterator'>
[ INFO ]  New subclass: <class 'extensions.middle.GatherNdNormalizer.GatherNDNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.GroupNorm.GroupNormToMVN'>
[ INFO ]  Registered a new subclass with key: GroupNorm
[ INFO ]  New subclass: <class 'extensions.middle.InputCut.MiddleInputCut'>
[ INFO ]  New subclass: <class 'extensions.middle.InsertSelect.AddSelectBeforeMemoryNodePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.InterpolateSequenceToInterpolate.InterpolateSequenceToInterpolate'>
[ INFO ]  New subclass: <class 'extensions.middle.L2NormFusing.L2NormToNorm'>
[ INFO ]  New subclass: <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'>
[ INFO ]  New subclass: <class 'extensions.middle.LeakyReluPattern.LeakyReLUFusion'>
[ INFO ]  New subclass: <class 'extensions.middle.MXNetRNNSequenceNormalize.MXNetRNNSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.MXNetSplitMultiLayers.MXNetSplitLayersToRNNSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.MXTileReplacer.MXTileReplacer'>
[ INFO ]  New subclass: <class 'extensions.middle.MarkSubgraphsWithCorrectLayout.MarkSubGraphsWithCorrectLayout'>
[ INFO ]  New subclass: <class 'extensions.middle.MoveConstToLoopBody.MoveConstToLoopBody'>
[ INFO ]  New subclass: <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.ONNXResize11ToInterpolate.ONNXResize11ToInterpolate'>
[ INFO ]  New subclass: <class 'extensions.middle.PartialInfer.PartialInfer'>
[ INFO ]  New subclass: <class 'extensions.middle.PoolV2ToAttributedPool.PoolV2ToAttributedPool'>
[ INFO ]  New subclass: <class 'extensions.middle.ReluQuantizeFuse.ReluFakeQuantizeMark'>
[ INFO ]  New subclass: <class 'extensions.middle.ReluQuantizeFuse.ClampQuantizeMark'>
[ INFO ]  New subclass: <class 'extensions.middle.ReluQuantizeFuse.ReluQuantizeFuse'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveDuplicationMemory.RemoveMemoryDuplicationPattern'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveDuplicationMemory.MergeNeighborSplicePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveIdentity.RemoveIdentity'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveIdentity.RemoveDropout'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveIdentity.RemoveNodesWithZeroPhase'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveRedundantReshapeAfterCropAndResize.RemoveRedundantReshapeAfterCropAndResize'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveUselessConcatSplit.RemoveUselessConcatSplitPattern'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveUselessCrops.RemoveUselessCropsPattern'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveUselessPad.RemoveUselessPad'>
[ INFO ]  New subclass: <class 'extensions.middle.ReplaceMemoryOffsetWithSplice.ReplaceMemoryOffsetNodePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.ReplaceMemoryOffsetWithSplice.ReplaceMemoryOffsetWithMemoryNodePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.ReplacePNorm.ReplacePNormNodePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.ReplaceSpliceNodePattern.ReplaceSpliceNodePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.ReverseTransposeNormalization.ReverseTransposeNormalization'>
[ INFO ]  New subclass: <class 'extensions.middle.ReverseV2ToReverseSequence.ReverseToReverseSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.ScaleInput.ScaleInput'>
[ INFO ]  New subclass: <class 'extensions.middle.SequenceLengthToMask.SequenceLengthToMask'>
[ INFO ]  New subclass: <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'>
[ INFO ]  New subclass: <class 'extensions.middle.SliceLikeToStridedSlice.SliceLikeToStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.middle.SplitConcatPairToInterpolate.SplitConcatPairToInterpolate'>
[ INFO ]  New subclass: <class 'extensions.middle.StridedSliceNormalizer.StridedSliceNormalizer'>
[ INFO ]  New subclass: <class 'extensions.middle.SwapAxesMiddleReplacer.SwapAxisMiddleReplacer'>
[ INFO ]  New subclass: <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorLSTMToLSTMSequence.TensorIteratorLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorOutput.SimpleOutputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.UnsqueezeTileReshapeBlockToInterpolate.UnsqueezeTileReshapeBlockToInterpolate'>
[ INFO ]  New subclass: <class 'extensions.middle.UpsampleToResample.UpsampleToResample'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessMerge.UselessMergeEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessSplitEraser.UselessSplitEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.permute_tensor_iterator.TransposeTensorIteratorLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.preprocessing.CaffeMeanFileProcessing'>
[ INFO ]  New subclass: <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.sparse_reshape.SparseReshapeMiddleReplacer'>
[ INFO ]  New subclass: <class 'extensions.middle.split_tdnn_memoryoffset.SplitTdnnMemoryOffset'>
[ WARNING ]  Skipped <class 'extensions.back.pass_separator.BackStart'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.pass_separator.BackFinish'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.SpecialNodesFinalization.RemoveConstOps'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.SpecialNodesFinalization.CreateConstNodesReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.SpecialNodesFinalization.RemoveConstToResult'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.SpecialNodesFinalization.NormalizeTI'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.RemoveUselessConvert.RemoveUselessConvert'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.ResultRename.ResultRename'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.op_versioning.OpVersioning'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.back.ReverseInputChannels.InsertReverseChannels'>
[ INFO ]  New subclass: <class 'extensions.back.ReverseInputChannels.ReverseChannelsPropagationDown'>
[ INFO ]  New subclass: <class 'extensions.back.ReverseInputChannels.ReverseChannelsPropagationUp'>
[ INFO ]  New subclass: <class 'extensions.back.ReverseInputChannels.DecomposeReverseChannels'>
[ INFO ]  New subclass: <class 'extensions.back.ReverseInputChannels.ApplyReverseChannels'>
[ INFO ]  New subclass: <class 'extensions.back.AvgPool.AvgPool'>
[ INFO ]  New subclass: <class 'extensions.back.CellNormalizer.CellNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.ClampNormalizer.ClampNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.ForceStrictPrecision.ForceStrictPrecision'>
[ INFO ]  New subclass: <class 'extensions.back.ReshapeMutation.ReshapeMutation'>
[ INFO ]  New subclass: <class 'extensions.back.ConvolutionNormalizer.ConvolutionNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.ConvolutionNormalizer.V7ConvolutionWithGroupsResolver'>
[ INFO ]  New subclass: <class 'extensions.back.ConvolutionNormalizer.V10ConvolutionWithGroupsResolver'>
[ INFO ]  New subclass: <class 'extensions.back.ConvolutionNormalizer.ConvolutionWithGroupsResolver'>
[ INFO ]  New subclass: <class 'extensions.back.ConvolutionNormalizer.PullReshapeThroughFQ'>
[ INFO ]  New subclass: <class 'extensions.back.ConvolutionNormalizer.DeconvolutionNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.CorrectName.RestoreOriginalFrameworkName'>
[ INFO ]  New subclass: <class 'extensions.back.CropToStridedSlice.CropToStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.back.CutMemory.CutMemoryInput'>
[ INFO ]  New subclass: <class 'extensions.back.CutMemory.CutMemoryOutput'>
[ INFO ]  New subclass: <class 'extensions.back.EnableConstantStridedSlice.EnableConstantStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.back.FakeOutputResolver.FakeOutputResolver'>
[ INFO ]  New subclass: <class 'extensions.back.FuseTransposesSequence.FuseTransposesSequence'>
[ INFO ]  New subclass: <class 'extensions.back.GatherNormalizer.GatherTreeNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.GroupedConvWeightsNormalize.GroupedConvWeightsNormalize'>
[ INFO ]  New subclass: <class 'extensions.back.InterpolateReshape.InterpolateConcat'>
[ INFO ]  New subclass: <class 'extensions.back.InterpolateReshape.InterpolateReshapeWA'>
[ INFO ]  New subclass: <class 'extensions.back.LRNToNorm.LRN_normalization'>
[ INFO ]  New subclass: <class 'extensions.back.LayoutChangeForGatherND.LayoutChangeForGatherND'>
[ INFO ]  New subclass: <class 'extensions.back.LeakyReLUMutation.LeakyReLUMutation'>
[ INFO ]  New subclass: <class 'extensions.back.LinearToLinearONNXReplacer.LinearToLinearONNXReplacer'>
[ INFO ]  New subclass: <class 'extensions.back.MatMulNormalizer.MatMulConstTransposesExtraction'>
[ INFO ]  New subclass: <class 'extensions.back.MatMulNormalizer.PullTransposeThroughFQUp'>
[ INFO ]  New subclass: <class 'extensions.back.MatMulNormalizer.SmartReshape_HC_Reshape_MatMul'>
[ INFO ]  New subclass: <class 'extensions.back.MaxPool.MaxPool'>
[ INFO ]  New subclass: <class 'extensions.back.insert_compatibility_l2normalization.CompatibilityL2NormalizationPattern'>
[ INFO ]  New subclass: <class 'extensions.back.NormalizeToNormalizeL2.NormalizeToNormalizeL2'>
[ INFO ]  New subclass: <class 'extensions.back.OptimizeTransposeReshapeSequence.OptimizeTransposeReshapeSequence'>
[ INFO ]  New subclass: <class 'extensions.back.PackBinaryWeights.PackBinaryWeights'>
[ INFO ]  New subclass: <class 'extensions.back.StridedSliceMasksNormalizer.StridedSliceMasksNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.ProposalMutation.ProposalMutation'>
[ INFO ]  New subclass: <class 'extensions.back.RNNSequenceTypeRename.RNNSequence'>
[ INFO ]  New subclass: <class 'extensions.back.ScalarConstNormalize.ScalarNormalize'>
[ INFO ]  New subclass: <class 'extensions.back.ReduceMerge.ReduceMerge'>
[ INFO ]  New subclass: <class 'extensions.back.ReduceTransposeDimensions.ReduceTransposeDimensions'>
[ INFO ]  New subclass: <class 'extensions.back.Reshape0DToSqueeze.Reshape0DToSqueeze'>
[ INFO ]  New subclass: <class 'extensions.back.ResultNormalizer.ResultNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.SelectBroadcast.SelectBroadcast'>
[ INFO ]  New subclass: <class 'extensions.back.ShuffleChannelPatternOptimization.ShuffleChannelPatternOptimization'>
[ INFO ]  New subclass: <class 'extensions.back.ShuffleChannelPatternOptimization.ShuffleChannelFusion'>
[ INFO ]  New subclass: <class 'extensions.back.ShuffleChannelPatternOptimization.DepthToSpaceFusion'>
[ INFO ]  New subclass: <class 'extensions.back.ShufflenetReLUReorder.ShufflenetReLUReorder'>
[ INFO ]  New subclass: <class 'extensions.back.TopKNormalizer.TopKNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.TransposeReduceFusing.TransposeReduce'>
[ INFO ]  New subclass: <class 'extensions.back.UselessConcatRemoval.UselessConcatRemoval'>
[ INFO ]  New subclass: <class 'extensions.back.blob_normalizer.BlobNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.compress_quantized_weights.CompressQuantizeWeights'>
[ INFO ]  New subclass: <class 'extensions.back.disable_unsupported_ND_operations.DisableUnsupportedNDOperations'>
[ INFO ]  New subclass: <class 'extensions.back.fuse_sub_div_min.Negate'>
[ INFO ]  New subclass: <class 'extensions.back.fuse_sub_div_min.EltwisesToSubtract'>
[ INFO ]  New subclass: <class 'extensions.back.fuse_sub_div_min.EltwisesToDiv'>
[ INFO ]  New subclass: <class 'extensions.back.kaldi_remove_memory_output.KaldiRemoveMemoryOutputBackReplacementPattern'>
[ INFO ]  New subclass: <class 'extensions.back.priorbox_mutation.PriorboxMutation'>
[ INFO ]  New subclass: <class 'extensions.back.remove_last_softmax_pattern.RemoveLastSoftMaxPattern'>
[ INFO ]  New subclass: <class 'extensions.back.remove_last_softmax_pattern.RemoveLastLogSoftMaxPattern'>
[ 2021-05-22 06:54:09,670 ] [ DEBUG ] [ class_registration:48 ]  All replacers has unique idxs.
[ 2021-05-22 06:54:09,700 ] [ DEBUG ] [ class_registration:260 ]  Replacers execution order: 
|  id  | enabled | class 
|    0 |  True   | <class 'extensions.load.tf.loader.TFLoader'>
|    1 |  True   | <class 'extensions.load.loader.LoadFinish'>
|    2 |  True   | <class 'extensions.front.transformations_config.TransformationsConfig'>
|    3 |  None   | <class 'extensions.analysis.boolean_input.TrainingPhaseAnalysis'>
|    4 |  None   | <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV3Analysis'>
|    5 |  None   | <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV1V2Analysis'>
|    6 |  None   | <class 'extensions.analysis.tf_retinanet.TensorFlowRetinaNet'>
|    7 |  None   | <class 'extensions.analysis.tf_od_api.TensorFlowObjectDetectionAPIAnalysis'>
|    8 |  None   | <class 'extensions.analysis.nodes.IntermediatesNodesAnalysis'>
|    9 |  None   | <class 'extensions.analysis.inputs.InputsAnalysis'>
|   10 |  None   | <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'>
|   11 |  False  | <class 'extensions.analysis.json_print.AnalysisJSONPrint'>
|   12 |  True   | <class 'extensions.front.user_data_repack.UserDataRepack'>
|   13 |  True   | <class 'extensions.front.output_cut.OutputCut'>
|   14 |  True   | <class 'extensions.front.input_cut.InputCut'>
|   15 |  True   | <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'>
|   16 |  True   | <class 'extensions.front.restore_ports.RestorePorts'>
|   17 |  True   | <class 'extensions.front.MoveEmbeddedInputsToInputs.MoveEmbeddedInputsToInputs'>
|   18 |  True   | <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'>
|   19 |  True   | <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'>
|   20 |  True   | <class 'extensions.front.reshape_dim_normalizer.ReshapeDimNormalizer'>
|   21 |  True   | <class 'extensions.front.pass_separator.FrontStart'>
|   22 |  None   | <class 'extensions.front.YOLO.YoloV3RegionAddon'>
|   23 |  True   | <class 'extensions.front.split_normalizer.VariadicSplitInputsSwap'>
|   24 |  True   | <class 'extensions.front.tf.UnpackPackReverseInputChannels.UnpackPackReverseInputChannels'>
|   25 |  True   | <class 'extensions.front.tf.transposed_mvn_unrolled.TransposedMVNUnrolled'>
|   26 |  True   | <class 'extensions.front.TopKNormalize.TopKNormalize'>
|   27 |  True   | <class 'extensions.front.ThresholdedReluDecomposition.ThresholdedReluDecomposition'>
|   28 |  True   | <class 'extensions.front.tf.SwitchMergeOptimization.SwitchMergeOptimization'>
|   29 |  True   | <class 'extensions.front.Swish_fusion.SwishWithSigmoidWithoutBeta'>
|   30 |  True   | <class 'extensions.front.Swish_fusion.SwishWithSigmoidWithBeta'>
|   31 |  True   | <class 'extensions.front.tf.swap_deconv_inputs.SwapDeconvInputs'>
|   32 |  False  | <class 'extensions.front.sub.Sub'>
|   33 |  True   | <class 'extensions.front.SqueezeNormalize.SqueezeNormalize'>
|   34 |  True   | <class 'extensions.front.split_normalizer.SplitInputsReconnect'>
|   35 |  True   | <class 'extensions.front.Softplus_fusion.SoftplusFusion'>
|   36 |  True   | <class 'extensions.front.Mish_fusion.MishFusion'>
|   37 |  True   | <class 'extensions.front.softsign_replacer.SoftSign'>
|   38 |  True   | <class 'extensions.front.tf.SizeReplacer.SizeFrontReplacer'>
|   39 |  True   | <class 'extensions.front.scatter_normalizer.ScatterNormalizer'>
|   40 |  None   | <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'>
|   41 |  None   | <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'>
|   42 |  True   | <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'>
|   43 |  True   | <class 'extensions.front.softmax.SoftmaxFromKeras'>
|   44 |  True   | <class 'extensions.front.reciprocal.ReciprocalReplacer'>
|   45 |  True   | <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'>
|   46 |  True   | <class 'extensions.front.tf.prelu.PReLUWithAbsPatternFuse'>
|   47 |  True   | <class 'extensions.front.tf.prelu.PReLUPatternFuse'>
|   48 |  True   | <class 'extensions.front.PowerToEltwises.PowerToEltwises'>
|   49 |  True   | <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'>
|   50 |  True   | <class 'extensions.front.OneHotDepthNormalizer.OneHotDepthNormalizer'>
|   51 |  None   | <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'>
|   52 |  None   | <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'>
|   53 |  None   | <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
|   54 |  None   | <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessor2Replacement'>
|   55 |  None   | <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
|   56 |  True   | <class 'extensions.front.non_max_suppression_normalize.NonMaxSuppressionNormalize'>
|   57 |  True   | <class 'extensions.front.tf.non_max_suppression_normalize.TFNonMaxSuppressionNormalize'>
|   58 |  True   | <class 'extensions.front.no_op_eraser.NoOpEraser'>
|   59 |  True   | <class 'extensions.front.tf.noop.NoOpElimination'>
|   60 |  True   | <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
|   61 |  True   | <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'>
|   62 |  True   | <class 'extensions.front.tf.mvn.MVNReplacer'>
|   63 |  True   | <class 'extensions.front.Log1p.Log1p'>
|   64 |  True   | <class 'extensions.front.LayerNorm.LayerNorm'>
|   65 |  True   | <class 'extensions.front.tf.KerasRNNTransformation.KerasRNNOutputConcatenation'>
|   66 |  True   | <class 'extensions.front.tf.KerasRNNTransformation.KerasRNNInputSlicing'>
|   67 |  True   | <class 'extensions.front.tf.WhileNormalize.WhileNormalize'>
|   68 |  True   | <class 'extensions.front.InterpolateNormalizer.InterpolateNormalizer'>
|   69 |  True   | <class 'extensions.front.tf.TFResizeToInterpolate.TFResizeToInterpolate'>
|   70 |  True   | <class 'extensions.front.interpolate_reshape.InterpolateWithConcat'>
|   71 |  True   | <class 'extensions.front.InterpolateV1ToInterpolate.InterpolateV1ToInterpolate'>
|   72 |  True   | <class 'extensions.front.tf.InterpolateTransposes.InterpolateTranspose'>
|   73 |  True   | <class 'extensions.front.instance_normalization.InstanceNormalization'>
|   74 |  True   | <class 'extensions.front.image_scaler.ImageScaler'>
|   75 |  True   | <class 'extensions.front.tf.identityN_to_identity.IdentityN_to_Identity'>
|   76 |  True   | <class 'extensions.front.global_pooling_to_reduce.GlobalPoolingToReduce'>
|   77 |  True   | <class 'extensions.front.MatMul_normalizer.GemmDecomposer'>
|   78 |  True   | <class 'extensions.front.GeLUMerger_Tanh.GeLUMergerTanh'>
|   79 |  True   | <class 'extensions.front.GeLUMerger_Erf.GeLUMergerErf'>
|   80 |  True   | <class 'extensions.front.tf.GNMT_DynamicSequenceLengths.GNMT_sequence_lengths'>
|   81 |  True   | <class 'extensions.front.MatMul_normalizer.FullyConnectedDecomposer'>
|   82 |  True   | <class 'extensions.front.tf.floor_div_decomposition.FloorDivDecomposition'>
|   83 |  True   | <class 'extensions.front.flatten_to_reshape.FlattenToReshape'>
|   84 |  True   | <class 'extensions.front.FillToBroadcast.FillToBroadcast'>
|   85 |  True   | <class 'extensions.front.tf.FakeQuantWithMinMaxVars.FakeQuantWithMinMaxVarsToQuantize'>
|   86 |  None   | <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'>
|   87 |  True   | <class 'extensions.front.tf.TFSliceToSlice.TFSliceToSliceReplacer'>
|   88 |  True   | <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
|   89 |  None   | <class 'extensions.front.YOLO.YoloRegionAddon'>
|   90 |  True   | <class 'extensions.front.disable_weights_quantize_value_propagation.DisableQuantizeValuePropagation'>
|   91 |  True   | <class 'extensions.front.tf.fake_const_ext.FakeConstToConst'>
|   92 |  True   | <class 'extensions.front.tf.fifo_replacer.FIFOQueue'>
|   93 |  True   | <class 'extensions.front.override_batch.OverrideBatch'>
|   94 |  True   | <class 'extensions.front.broadcast_with_range.ExpandRangeConstant'>
|   95 |  True   | <class 'extensions.front.tf.embedding_segments_sum.EmbeddingSegmentsSumFrontReplacer2'>
|   96 |  True   | <class 'extensions.front.tf.embedding_segments_sum.EmbeddingSegmentsSumFrontReplacer'>
|   97 |  None   | <class 'extensions.front.tf.AutomlEfficientDet.EfficientDet'>
|   98 |  True   | <class 'extensions.front.Pack.Pack'>
|   99 |  True   | <class 'extensions.front.ExpandDimsToUnsqueeze.ExpandDimsToUnsqueeze'>
|  100 |  True   | <class 'extensions.front.eltwise_n.EltwiseNReplacement'>
|  101 |  True   | <class 'extensions.front.DropoutWithRandomUniformReplacer.DropoutWithRandomUniformReplacer'>
|  102 |  False  | <class 'extensions.front.div.Div'>
|  103 |  True   | <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
|  104 |  None   | <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'>
|  105 |  True   | <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
|  106 |  True   | <class 'extensions.front.tf.WhereDecomposition.WhereDecomposition'>
|  107 |  True   | <class 'extensions.front.tf.pad_tf_to_pad.PadTFToPad'>
|  108 |  None   | <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'>
|  109 |  True   | <class 'extensions.front.split_normalizer.SqueezeAxis'>
|  110 |  None   | <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
|  111 |  None   | <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'>
|  112 |  True   | <class 'extensions.front.tf.concat.Concat'>
|  113 |  True   | <class 'extensions.front.ChangePlaceholderTypes.ChangePlaceholderTypes'>
|  114 |  True   | <class 'extensions.front.ChangeCastOutputType.ChangeCastOutputType'>
|  115 |  True   | <class 'extensions.front.tf.CTCLossReplacement.CTCLossReplacement'>
|  116 |  True   | <class 'extensions.front.tf.CTCGreedyDecoderReplacement.CTCGreedyDecoderWithSparseToDenseShapeReplacement'>
|  117 |  True   | <class 'extensions.front.tf.CTCGreedyDecoderReplacement.CTCGreedyDecoderReplacement'>
|  118 |  True   | <class 'extensions.front.tf.sparse_to_dense_replacer.SparseToDenseReplacer'>
|  119 |  True   | <class 'extensions.front.tf.bucketize.BucketizeFrontReplacer'>
|  120 |  True   | <class 'extensions.front.tf.BlockLSTM.BlockLSTM'>
|  121 |  True   | <class 'extensions.front.binary_quantize_normalization.BinaryFakeQuantizeNormalization'>
|  122 |  True   | <class 'extensions.front.tf.BatchToSpaceNDToUpsample.BatchToSpaceToUpsample'>
|  123 |  True   | <class 'extensions.front.tf.space_to_batch.BatchToSpaceNormalizer'>
|  124 |  True   | <class 'extensions.front.rank_decomposer.RankDecomposer'>
|  125 |  True   | <class 'extensions.front.split_normalizer.AttributedVariadicSplitToVariadicSplit'>
|  126 |  True   | <class 'extensions.front.split_normalizer.AttributedSplitToSplit'>
|  127 |  True   | <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'>
|  128 |  True   | <class 'extensions.front.AttributedPadToPad.AttributedPadToPad'>
|  129 |  True   | <class 'extensions.front.AttributedGatherNormalizer.AttributedGatherNormalizer'>
|  130 |  True   | <class 'extensions.front.AttributedClampNormalizer.AttributedClampNormalizer'>
|  131 |  True   | <class 'extensions.front.HSwish_fusion.HSwishWithMinMax'>
|  132 |  True   | <class 'extensions.front.HSwish_fusion.HSwishWithClamp'>
|  133 |  True   | <class 'extensions.front.HSigmoid_fusion.HSigmoidWithReluMul'>
|  134 |  True   | <class 'extensions.front.HSigmoid_fusion.HSigmoidWithReluDiv'>
|  135 |  True   | <class 'extensions.front.HSigmoid_fusion.HSigmoidWithMinMax'>
|  136 |  True   | <class 'extensions.front.HSigmoid_fusion.HSigmoidWithClamp'>
|  137 |  True   | <class 'extensions.front.ATenToEmbeddingBag.AtenToEmbeddingBag'>
|  138 |  True   | <class 'extensions.front.tf.assign_elimination.AssignAndAssertElimination'>
|  139 |  True   | <class 'extensions.front.ArgMaxSqueeze.ArgMaxSqueeze'>
|  140 |  True   | <class 'extensions.front.pass_separator.FrontFinish'>
|  141 |  True   | <class 'extensions.front.create_tensor_nodes.CreateTensorNodes'>
|  142 |  True   | <class 'extensions.middle.PartialInfer.PartialInfer'>
|  143 |  True   | <class 'extensions.middle.ReverseV2ToReverseSequence.ReverseToReverseSequence'>
|  144 |  True   | <class 'extensions.middle.DeleteControlFlowEdges.DeleteControlFlowEdges'>
|  145 |  True   | <class 'extensions.middle.quantize_fuses.MarkNodesToFuseUpToFakeQuantize'>
|  146 |  True   | <class 'extensions.middle.quantize_fuses.FakeQuantizeFuse'>
|  147 |  True   | <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'>
|  148 |  True   | <class 'extensions.middle.ReluQuantizeFuse.ReluFakeQuantizeMark'>
|  149 |  True   | <class 'extensions.middle.ReluQuantizeFuse.ReluQuantizeFuse'>
|  150 |  True   | <class 'extensions.middle.ReluQuantizeFuse.ClampQuantizeMark'>
|  151 |  True   | <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'>
|  152 |  True   | <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'>
|  153 |  True   | <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'>
|  154 |  True   | <class 'extensions.middle.TensorIteratorOutput.SimpleOutputMatcher'>
|  155 |  True   | <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'>
|  156 |  True   | <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMatcher'>
|  157 |  True   | <class 'extensions.middle.TensorIteratorCondition.DynamicDecoderConditionMatcher'>
|  158 |  True   | <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'>
|  159 |  True   | <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'>
|  160 |  True   | <class 'extensions.middle.DeleteNotExecutable.DeleteNotExecutable'>
|  161 |  True   | <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'>
|  162 |  True   | <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'>
|  163 |  True   | <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
|  164 |  True   | <class 'extensions.middle.CheckForCycle.CheckForCycle'>
|  165 |  True   | <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'>
|  166 |  True   | <class 'extensions.middle.pass_separator.PreMiddleStart'>
|  167 |  True   | <class 'extensions.middle.UselessSplitEraser.UselessSplitEraser'>
|  168 |  True   | <class 'extensions.middle.InputCut.MiddleInputCut'>
|  169 |  True   | <class 'extensions.middle.ScaleInput.ScaleInput'>
|  170 |  True   | <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'>
|  171 |  True   | <class 'extensions.middle.RemoveIdentity.RemoveNodesWithZeroPhase'>
|  172 |  True   | <class 'extensions.middle.RemoveIdentity.RemoveIdentity'>
|  173 |  True   | <class 'extensions.middle.RemoveIdentity.RemoveDropout'>
|  174 |  True   | <class 'extensions.middle.L2NormFusing.L2NormToNorm'>
|  175 |  True   | <class 'extensions.middle.DilatedConvolution.DilatedConvolutionConverter'>
|  176 |  True   | <class 'extensions.middle.DilatedConvolution.DilatedConvolution1DConverter'>
|  177 |  True   | <class 'extensions.middle.CustomSubgraphCall.CustomSubgraphCall'>
|  178 |  True   | <class 'extensions.middle.ConvertMultiInputConv.ConvertMultiInputConv'>
|  179 |  True   | <class 'extensions.middle.pass_separator.MiddleStart'>
|  180 |  True   | <class 'extensions.middle.UnsqueezeTileReshapeBlockToInterpolate.UnsqueezeTileReshapeBlockToInterpolate'>
|  181 |  True   | <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'>
|  182 |  True   | <class 'extensions.middle.SwapAxesMiddleReplacer.SwapAxisMiddleReplacer'>
|  183 |  True   | <class 'extensions.middle.split_tdnn_memoryoffset.SplitTdnnMemoryOffset'>
|  184 |  True   | <class 'extensions.middle.SplitConcatPairToInterpolate.SplitConcatPairToInterpolate'>
|  185 |  True   | <class 'extensions.middle.sparse_reshape.SparseReshapeMiddleReplacer'>
|  186 |  True   | <class 'extensions.middle.SliceLikeToStridedSlice.SliceLikeToStridedSlice'>
|  187 |  True   | <class 'extensions.middle.SequenceLengthToMask.SequenceLengthToMask'>
|  188 |  True   | <class 'extensions.middle.ReverseTransposeNormalization.ReverseTransposeNormalization'>
|  189 |  True   | <class 'extensions.middle.ReplacePNorm.ReplacePNormNodePattern'>
|  190 |  True   | <class 'extensions.middle.ReplaceMemoryOffsetWithSplice.ReplaceMemoryOffsetWithMemoryNodePattern'>
|  191 |  True   | <class 'extensions.middle.ReplaceMemoryOffsetWithSplice.ReplaceMemoryOffsetNodePattern'>
|  192 |  True   | <class 'extensions.middle.RemoveUselessPad.RemoveUselessPad'>
|  193 |  True   | <class 'extensions.middle.RemoveDuplicationMemory.RemoveMemoryDuplicationPattern'>
|  194 |  True   | <class 'extensions.middle.RemoveDuplicationMemory.MergeNeighborSplicePattern'>
|  195 |  True   | <class 'extensions.middle.RemoveUselessCrops.RemoveUselessCropsPattern'>
|  196 |  True   | <class 'extensions.middle.InsertSelect.AddSelectBeforeMemoryNodePattern'>
|  197 |  True   | <class 'extensions.middle.ReplaceSpliceNodePattern.ReplaceSpliceNodePattern'>
|  198 |  True   | <class 'extensions.middle.RemoveUselessConcatSplit.RemoveUselessConcatSplitPattern'>
|  199 |  True   | <class 'extensions.middle.PoolV2ToAttributedPool.PoolV2ToAttributedPool'>
|  200 |  True   | <class 'extensions.middle.ONNXResize11ToInterpolate.ONNXResize11ToInterpolate'>
|  201 |  True   | <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
|  202 |  False  | <class 'extensions.middle.TensorIteratorLSTMToLSTMSequence.TensorIteratorLSTM'>
|  203 |  True   | <class 'extensions.middle.MXTileReplacer.MXTileReplacer'>
|  204 |  True   | <class 'extensions.middle.MXNetSplitMultiLayers.MXNetSplitLayersToRNNSequence'>
|  205 |  True   | <class 'extensions.middle.MXNetRNNSequenceNormalize.MXNetRNNSequenceNormalize'>
|  206 |  True   | <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'>
|  207 |  None   | <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'>
|  208 |  True   | <class 'extensions.middle.GRURNNSequenceToTensorIterator.GRUAndRNNToTensorIterator'>
|  209 |  True   | <class 'extensions.middle.InterpolateSequenceToInterpolate.InterpolateSequenceToInterpolate'>
|  210 |  True   | <class 'extensions.middle.UpsampleToResample.UpsampleToResample'>
|  211 |  True   | <class 'extensions.middle.GatherNdNormalizer.GatherNDNormalize'>
|  212 |  True   | <class 'extensions.middle.FusedBatchNormTraining.FusedBatchNormTraining'>
|  213 |  True   | <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'>
|  214 |  False  | <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'>
|  215 |  True   | <class 'extensions.middle.Deconvolution3rdInputNormalization.Deconvolution3rdInputNormalization'>
|  216 |  True   | <class 'extensions.middle.DecomposeBias.DecomposeBias'>
|  217 |  True   | <class 'extensions.middle.CutInputHavingZeroDimFromConcat.CutInputHavingZeroDimFromConcat'>
|  218 |  True   | <class 'extensions.middle.SliceConverter.ConvertSlice'>
|  219 |  True   | <class 'extensions.middle.StridedSliceNormalizer.StridedSliceNormalizer'>
|  220 |  True   | <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
|  221 |  True   | <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'>
|  222 |  True   | <class 'extensions.middle.ConvToBinaryConv.ConvToBinaryConv'>
|  223 |  True   | <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
|  224 |  True   | <class 'extensions.middle.UselessMerge.UselessMergeEraser'>
|  225 |  True   | <class 'extensions.middle.ConcatOptimization.ConcatOdInputEraserAndPortsReconnect'>
|  226 |  True   | <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'>
|  227 |  True   | <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'>
|  228 |  True   | <class 'extensions.middle.permute_tensor_iterator.TransposeTensorIteratorLSTM'>
|  229 |  True   | <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'>
|  230 |  True   | <class 'extensions.middle.BiasAddBroadcasting.BiasAddInputBroadcasting'>
|  231 |  True   | <class 'extensions.middle.EltwiseChecker.EltwiseChecker'>
|  232 |  True   | <class 'extensions.middle.GroupNorm.GroupNormToMVN'>
|  233 |  True   | <class 'extensions.middle.AttributedTileNormalizer.AttributedTileNormalizer'>
|  234 |  True   | <class 'extensions.middle.ArgMaxToTopK.ArgMaxToTopK'>
|  235 |  True   | <class 'extensions.middle.FakeSplitOutputs.AddFakeOutputsToVariadicSplit'>
|  236 |  True   | <class 'extensions.middle.FakeSplitOutputs.AddFakeOutputsToSplit'>
|  237 |  True   | <class 'extensions.middle.pass_separator.MiddleFinish'>
|  238 |  True   | <class 'extensions.middle.RemoveRedundantReshapeAfterCropAndResize.RemoveRedundantReshapeAfterCropAndResize'>
|  239 |  True   | <class 'extensions.middle.fusings.Fusing'>
|  240 |  True   | <class 'extensions.middle.LeakyReluPattern.LeakyReLUFusion'>
|  241 |  True   | <class 'extensions.middle.preprocessing.CaffeMeanFileProcessing'>
|  242 |  True   | <class 'extensions.middle.ConcatOptimization.ConcatOptimization'>
|  243 |  True   | <class 'extensions.middle.FuseReshapesSequence.FuseReshapesSequence'>
|  244 |  True   | <class 'extensions.middle.RemoveRedundantReshapes.RemoveRedundantReshapes'>
|  245 |  True   | <class 'extensions.middle.pass_separator.PostMiddleStart'>
|  246 |  True   | <class 'extensions.middle.MoveConstToLoopBody.MoveConstToLoopBody'>
|  247 |  True   | <class 'extensions.middle.MarkSubgraphsWithCorrectLayout.MarkSubGraphsWithCorrectLayout'>
|  248 |  True   | <class 'extensions.middle.InsertLayoutPropagationTransposes.InsertLayoutPropagationTranspose'>
|  249 |  True   | <class 'extensions.middle.LayoutChangeForConstantShapePaths.LayoutChangeForConstantShapePaths'>
|  250 |  True   | <class 'extensions.middle.ApplyNHWCtoNCHWpermutation.ApplyNHWCtoNCHWpermutation'>
|  251 |  True   | <class 'extensions.middle.ApplyPermutations.ApplyPermutation'>
|  252 |  True   | <class 'extensions.back.pass_separator.BackStart'>
|  253 |  False  | <class 'extensions.back.ConvolutionNormalizer.V7ConvolutionWithGroupsResolver'>
|  254 |  False  | <class 'extensions.back.ConvolutionNormalizer.V10ConvolutionWithGroupsResolver'>
|  255 |  True   | <class 'extensions.back.UselessConcatRemoval.UselessConcatRemoval'>
|  256 |  False  | <class 'extensions.back.ShufflenetReLUReorder.ShufflenetReLUReorder'>
|  257 |  True   | <class 'extensions.back.SelectBroadcast.SelectBroadcast'>
|  258 |  False  | <class 'extensions.back.ReverseInputChannels.ReverseChannelsPropagationUp'>
|  259 |  False  | <class 'extensions.back.ReverseInputChannels.ReverseChannelsPropagationDown'>
|  260 |  False  | <class 'extensions.back.ResultRename.ResultRename'>
|  261 |  True   | <class 'extensions.back.ResultNormalizer.ResultNormalizer'>
|  262 |  True   | <class 'extensions.back.CorrectName.RestoreOriginalFrameworkName'>
|  263 |  False  | <class 'extensions.back.RemoveUselessConvert.RemoveUselessConvert'>
|  264 |  True   | <class 'extensions.back.remove_last_softmax_pattern.RemoveLastSoftMaxPattern'>
|  265 |  True   | <class 'extensions.back.remove_last_softmax_pattern.RemoveLastLogSoftMaxPattern'>
|  266 |  True   | <class 'extensions.back.SpecialNodesFinalization.RemoveConstToResult'>
|  267 |  True   | <class 'extensions.back.RNNSequenceTypeRename.RNNSequence'>
|  268 |  False  | <class 'extensions.back.ConvolutionNormalizer.PullReshapeThroughFQ'>
|  269 |  True   | <class 'extensions.back.ProposalMutation.ProposalMutation'>
|  270 |  True   | <class 'extensions.back.priorbox_mutation.PriorboxMutation'>
|  271 |  True   | <class 'extensions.back.PackBinaryWeights.PackBinaryWeights'>
|  272 |  False  | <class 'extensions.back.op_versioning.OpVersioning'>
|  273 |  False  | <class 'extensions.back.SpecialNodesFinalization.NormalizeTI'>
|  274 |  True   | <class 'extensions.back.fuse_sub_div_min.Negate'>
|  275 |  True   | <class 'extensions.back.fuse_sub_div_min.EltwisesToSubtract'>
|  276 |  True   | <class 'extensions.back.MaxPool.MaxPool'>
|  277 |  True   | <class 'extensions.back.MatMulNormalizer.MatMulConstTransposesExtraction'>
|  278 |  True   | <class 'extensions.back.MatMulNormalizer.SmartReshape_HC_Reshape_MatMul'>
|  279 |  True   | <class 'extensions.back.MatMulNormalizer.PullTransposeThroughFQUp'>
|  280 |  True   | <class 'extensions.back.LeakyReLUMutation.LeakyReLUMutation'>
|  281 |  True   | <class 'extensions.back.LayoutChangeForGatherND.LayoutChangeForGatherND'>
|  282 |  True   | <class 'extensions.back.LRNToNorm.LRN_normalization'>
|  283 |  True   | <class 'extensions.back.InterpolateReshape.InterpolateConcat'>
|  284 |  False  | <class 'extensions.back.InterpolateReshape.InterpolateReshapeWA'>
|  285 |  True   | <class 'extensions.back.LinearToLinearONNXReplacer.LinearToLinearONNXReplacer'>
|  286 |  False  | <class 'extensions.back.ReverseInputChannels.InsertReverseChannels'>
|  287 |  True   | <class 'extensions.back.GatherNormalizer.GatherTreeNormalizer'>
|  288 |  True   | <class 'extensions.back.FuseTransposesSequence.FuseTransposesSequence'>
|  289 |  True   | <class 'extensions.back.TransposeReduceFusing.TransposeReduce'>
|  290 |  True   | <class 'extensions.back.ReduceMerge.ReduceMerge'>
|  291 |  False  | <class 'extensions.back.ScalarConstNormalize.ScalarNormalize'>
|  292 |  True   | <class 'extensions.back.TopKNormalizer.TopKNormalizer'>
|  293 |  True   | <class 'extensions.back.Reshape0DToSqueeze.Reshape0DToSqueeze'>
|  294 |  True   | <class 'extensions.back.ShuffleChannelPatternOptimization.ShuffleChannelPatternOptimization'>
|  295 |  True   | <class 'extensions.back.ShuffleChannelPatternOptimization.ShuffleChannelFusion'>
|  296 |  False  | <class 'extensions.back.OptimizeTransposeReshapeSequence.OptimizeTransposeReshapeSequence'>
|  297 |  False  | <class 'extensions.back.ReduceTransposeDimensions.ReduceTransposeDimensions'>
|  298 |  True   | <class 'extensions.back.ShuffleChannelPatternOptimization.DepthToSpaceFusion'>
|  299 |  True   | <class 'extensions.back.FakeOutputResolver.FakeOutputResolver'>
|  300 |  True   | <class 'extensions.back.EnableConstantStridedSlice.EnableConstantStridedSlice'>
|  301 |  True   | <class 'extensions.back.fuse_sub_div_min.EltwisesToDiv'>
|  302 |  False  | <class 'extensions.back.disable_unsupported_ND_operations.DisableUnsupportedNDOperations'>
|  303 |  False  | <class 'extensions.back.ReverseInputChannels.DecomposeReverseChannels'>
|  304 |  True   | <class 'extensions.back.CutMemory.CutMemoryOutput'>
|  305 |  True   | <class 'extensions.back.CutMemory.CutMemoryInput'>
|  306 |  True   | <class 'extensions.back.CropToStridedSlice.CropToStridedSlice'>
|  307 |  True   | <class 'extensions.back.ConvolutionNormalizer.ConvolutionNormalizer'>
|  308 |  True   | <class 'extensions.back.compress_quantized_weights.CompressQuantizeWeights'>
|  309 |  True   | <class 'extensions.back.insert_compatibility_l2normalization.CompatibilityL2NormalizationPattern'>
|  310 |  True   | <class 'extensions.back.NormalizeToNormalizeL2.NormalizeToNormalizeL2'>
|  311 |  True   | <class 'extensions.back.ClampNormalizer.ClampNormalizer'>
|  312 |  True   | <class 'extensions.back.CellNormalizer.CellNormalizer'>
|  313 |  True   | <class 'extensions.back.AvgPool.AvgPool'>
|  314 |  True   | <class 'extensions.back.ReverseInputChannels.ApplyReverseChannels'>
|  315 |  True   | <class 'extensions.back.GroupedConvWeightsNormalize.GroupedConvWeightsNormalize'>
|  316 |  True   | <class 'extensions.back.ConvolutionNormalizer.DeconvolutionNormalizer'>
|  317 |  True   | <class 'extensions.back.StridedSliceMasksNormalizer.StridedSliceMasksNormalizer'>
|  318 |  True   | <class 'extensions.back.ConvolutionNormalizer.ConvolutionWithGroupsResolver'>
|  319 |  True   | <class 'extensions.back.ReshapeMutation.ReshapeMutation'>
|  320 |  True   | <class 'extensions.back.ForceStrictPrecision.ForceStrictPrecision'>
|  321 |  True   | <class 'extensions.back.pass_separator.BackFinish'>
|  322 |  False  | <class 'extensions.back.SpecialNodesFinalization.RemoveConstOps'>
|  323 |  True   | <class 'extensions.back.kaldi_remove_memory_output.KaldiRemoveMemoryOutputBackReplacementPattern'>
|  324 |  False  | <class 'extensions.back.SpecialNodesFinalization.CreateConstNodesReplacement'>
|  325 |  True   | <class 'extensions.back.blob_normalizer.BlobNormalizer'>
|  326 |  False  | <class 'extensions.middle.MulFakeQuantizeFuse.MulFakeQuantizeFuse'>
|  327 |  False  | <class 'extensions.middle.AddFakeQuantizeFuse.AddFakeQuantizeFuse'>
[ 2021-05-22 06:54:09,702 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.load.tf.loader.TFLoader'>
2021-05-22 06:54:09.902930: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/utils/../../../inference_engine/lib/intel64:/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/utils/../../../inference_engine/external/tbb/lib:/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/utils/../../../ngraph/lib
2021-05-22 06:54:09.902979: W tensorflow/stream_executor/cuda/cuda_driver.cc:326] failed call to cuInit: UNKNOWN ERROR (303)
2021-05-22 06:54:09.903001: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (mozjpegtest): /proc/driver/nvidia/version does not exist
2021-05-22 06:54:09.903288: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-05-22 06:54:12.127955: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2)
2021-05-22 06:54:12.446441: I tensorflow/core/platform/profile_utils/cpu_utils.cc:114] CPU Frequency: 2000160000 Hz
2021-05-22 06:54:14.596252: I tensorflow/core/grappler/devices.cc:69] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 0
2021-05-22 06:54:14.596468: I tensorflow/core/grappler/clusters/single_machine.cc:357] Starting new session
2021-05-22 06:54:14.629593: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:1144] Optimization results for grappler item: graph_to_optimize
  function_optimizer: Graph size after: 810 nodes (627), 903 edges (720), time = 18.092ms.
  function_optimizer: function_optimizer did nothing. time = 1.093ms.

[ 2021-05-22 06:54:46,351 ] [ DEBUG ] [ loader:72 ]  Number of nodes in graph_def: 840
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry StridedSlice to extractors with custom extractor class <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry BatchMatMul to extractors with custom extractor class <class 'extensions.front.tf.BatchMatMul_ext.BatchMatMulExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry BatchMatMulV2 to extractors with custom extractor class <class 'extensions.front.tf.BatchMatMul_ext.BatchMatMulV2Extractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry BlockLSTM to extractors with custom extractor class <class 'extensions.front.tf.BlockLSTM_ext.BlockLSTMExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry CTCGreedyDecoder to extractors with custom extractor class <class 'extensions.front.tf.CTCGreedyDecoder_ext.CTCCGreedyDecoderFrontExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry CTCLoss to extractors with custom extractor class <class 'extensions.front.tf.CTCLoss_ext.CTCLossFrontExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Cast to extractors with custom extractor class <class 'extensions.front.tf.Cast_ext.CastFrontExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry FakeQuantWithMinMaxVars to extractors with custom extractor class <class 'extensions.front.tf.FakeQuantWithMinMaxVars_ext.FakeQuantWithMinMaxVarsExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry FakeQuantWithMinMaxVarsPerChannel to extractors with custom extractor class <class 'extensions.front.tf.FakeQuantWithMinMaxVars_ext.FakeQuantWithMinMaxVarsPerChannelExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry GatherTree to extractors with custom extractor class <class 'extensions.front.tf.GatherTree_ext.GatherTreeFrontExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry IteratorGetNext to extractors with custom extractor class <class 'extensions.front.tf.IteratorGetNext_ext.IteratorGetNextExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LookupTableInsert to extractors with custom extractor class <class 'extensions.front.tf.LookupTableInsert_ext.LookupTableInsertFrontExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LookupTableInsertV2 to extractors with custom extractor class <class 'extensions.front.tf.LookupTableInsert_ext.LookupTableInsertV2FrontExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LoopCond to extractors with custom extractor class <class 'extensions.front.tf.LoopCond_ext.LoopCondFrontExtractor'>.
[ 2021-05-22 06:54:46,352 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TensorArrayV3 to extractors with custom extractor class <class 'extensions.front.tf.TensorArrayExtractors.TensorArrayExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TensorArrayGatherV3 to extractors with custom extractor class <class 'extensions.front.tf.TensorArrayGatherV3.TensorArrayGatherV3Exteractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Abs to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.AbsExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Elu to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.EluFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Erf to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.ErfFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Exp to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.ExpExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LeakyRelu to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.LeakyReLUFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LogicalNot to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.LogicalNotFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Relu6 to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.Relu6FrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Relu to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.ReluFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sigmoid to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.SigmoidFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Cos to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.CosFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Cosh to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.CoshFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Acosh to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.AcoshFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sin to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.SinFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sinh to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.SinhFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Asinh to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.AsinhFrontExtractor'>.
[ 2021-05-22 06:54:46,353 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Tan to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.TanFrontExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Tanh to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.TanhFrontExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Atanh to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.AtanhFrontExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Ceil to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.CeilExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Mish to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.MishExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Log to extractors with custom extractor class <class 'extensions.front.tf.activation_ext.LogExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ArgMax to extractors with custom extractor class <class 'extensions.front.tf.argmax_ext.ArgMaxFrontExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry BatchToSpaceND to extractors with custom extractor class <class 'extensions.front.tf.batch_to_space_ext.SpaceToBatchFrontExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry BroadcastTo to extractors with custom extractor class <class 'extensions.front.tf.broadcast_ext.BroadcastExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Bucketize to extractors with custom extractor class <class 'extensions.front.tf.bucketize_ext.BucketizeFrontExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Concat to extractors with custom extractor class <class 'extensions.front.tf.concat_ext.ConcatFrontExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Const to extractors with custom extractor class <class 'extensions.front.tf.const_ext.ConstExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv2D to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.Conv2DFrontExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry DepthwiseConv2dNative to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.DepthwiseConv2dNativeFrontExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv3D to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.Conv3DFrontExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ 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'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Cumsum to extractors with custom extractor class <class 'extensions.front.tf.cumsum_ext.CumSumExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv2DBackpropInput to extractors with custom extractor class <class 'extensions.front.tf.deconv_ext.Conv2DBackpropInputFrontExtractor'>.
[ 2021-05-22 06:54:46,354 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv3DBackpropInputV2 to extractors with custom extractor class <class 'extensions.front.tf.deconv_ext.Conv3DBackpropInputV2InputFrontExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry DepthToSpace to extractors with custom extractor class <class 'extensions.front.tf.depth_to_space.DepthToSpaceFrontExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Add to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.AddExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AddV2 to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.AddV2Extractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AddN to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.AddNExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry BiasAdd to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.BiasAddExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Mul to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.MulExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sub to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.SubExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry RealDiv to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.DivExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SquaredDifference to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.SquaredDifferenceExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sqrt to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.SqrtExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Rsqrt to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.RsqrtExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Square to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.SquareExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Neg to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.NegExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ZerosLike to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.ZerosLike'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Maximum to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.MaximumExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Minimum to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.MinimumExtractor'>.
[ 2021-05-22 06:54:46,355 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Pow to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.PowExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LogicalAnd to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.LogicalAndFrontExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LogicalOr to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.LogicalOrFrontExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Equal to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.EqualExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LessEqual to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.LessEqualExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Less to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.LessExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Greater to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.GreaterExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry GreaterEqual to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.GreaterEqualExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry NotEqual to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.NotEqualExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry FloorMod to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.FloorModFrontExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Round to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.RoundExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ExpandDims to extractors with custom extractor class <class 'extensions.front.tf.expand_dims_ext.ExpandDimsExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ExtractImagePatches to extractors with custom extractor class <class 'extensions.front.tf.extract_image_patches_ext.ExtractImagePatchesExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ 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'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Fill to extractors with custom extractor class <class 'extensions.front.tf.fill_ext.FillExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Floor to extractors with custom extractor class <class 'extensions.front.tf.floor_ext.FloorExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Gather to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.GatherFrontExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResourceGather to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.ResourceGatherFrontExtractor'>.
[ 2021-05-22 06:54:46,356 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry GatherV2 to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.GatherV2FrontExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry GatherNd to extractors with custom extractor class <class 'extensions.front.tf.gathernd_ext.GatherNDFrontExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Identity to extractors with custom extractor class <class 'extensions.front.tf.identity_ext.IdentityFrontExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry IdentityN to extractors with custom extractor class <class 'extensions.front.tf.identity_ext.IdentityNFrontExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ReadVariableOp to extractors with custom extractor class <class 'extensions.front.tf.identity_ext.ReadVariableOpFrontExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry StopGradient to extractors with custom extractor class <class 'extensions.front.tf.identity_ext.StopGradientExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LogSoftmax to extractors with custom extractor class <class 'extensions.front.tf.log_softmax_ext.LogSoftmaxExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LRN to extractors with custom extractor class <class 'extensions.front.tf.lrn_ext.LRNExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MatMul to extractors with custom extractor class <class 'extensions.front.tf.matmul_ext.MatMulExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry NextIteration to extractors with custom extractor class <class 'extensions.front.tf.next_iteration_ext.NextIterationExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry NonMaxSuppressionV2 to extractors with custom extractor class <class 'extensions.front.tf.non_max_suppression_ext.NonMaxSuppressionV2Extractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry NonMaxSuppressionV3 to extractors with custom extractor class <class 'extensions.front.tf.non_max_suppression_ext.NonMaxSuppressionV3Extractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry NonMaxSuppressionV4 to extractors with custom extractor class <class 'extensions.front.tf.non_max_suppression_ext.NonMaxSuppressionV4Extractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry NonMaxSuppressionV5 to extractors with custom extractor class <class 'extensions.front.tf.non_max_suppression_ext.NonMaxSuppressionV5Extractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry OneHot to extractors with custom extractor class <class 'extensions.front.tf.one_hot_ext.OneHotFrontExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Pad to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.PadFrontExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry PadV2 to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.PadV2FrontExtractor'>.
[ 2021-05-22 06:54:46,357 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MirrorPad to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.MirrorPadFrontExtractor'>.
[ 2021-05-22 06:54:46,358 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Placeholder to extractors with custom extractor class <class 'extensions.front.tf.placeholder_ext.PlaceholderFrontExtractor'>.
[ 2021-05-22 06:54:46,358 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry PlaceholderWithDefault to extractors with custom extractor class <class 'extensions.front.tf.placeholder_with_default_ext.PlaceholderWithDefaultExtractor'>.
[ 2021-05-22 06:54:46,358 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AvgPool to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.AvgPoolFrontExtractor'>.
[ 2021-05-22 06:54:46,358 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MaxPool to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.MaxPoolFrontExtractor'>.
[ 2021-05-22 06:54:46,358 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MaxPool3D to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.MaxPool3DFrontExtractor'>.
[ 2021-05-22 06:54:46,358 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AvgPool3D to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.AvgPool3DFrontExtractor'>.
[ 2021-05-22 06:54:46,358 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AvgPoolV2 to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.AvgPoolV2FrontExtractor'>.
[ 2021-05-22 06:54:46,358 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MaxPoolV2 to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.MaxPoolV2FrontExtractor'>.
[ 2021-05-22 06:54:46,358 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Range to extractors with custom extractor class <class 'extensions.front.tf.range_ext.RangeFrontExtractor'>.
[ 2021-05-22 06:54:46,358 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry All to extractors with custom extractor class <class 'extensions.front.tf.reduce_ext.AllFrontExtractor'>.
[ 2021-05-22 06:54:46,358 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Max to extractors with custom extractor class <class 'extensions.front.tf.reduce_ext.MaxFrontExtractor'>.
[ 2021-05-22 06:54:46,359 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Mean to extractors with custom extractor class <class 'extensions.front.tf.reduce_ext.MeanExtractor'>.
[ 2021-05-22 06:54:46,359 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Prod to extractors with custom extractor class <class 'extensions.front.tf.reduce_ext.ProdFrontExtractor'>.
[ 2021-05-22 06:54:46,359 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sum to extractors with custom extractor class <class 'extensions.front.tf.reduce_ext.SumFrontExtractor'>.
[ 2021-05-22 06:54:46,359 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry EuclideanNorm to extractors with custom extractor class <class 'extensions.front.tf.reduce_ext.EuclideanNormFrontExtractor'>.
[ 2021-05-22 06:54:46,359 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Rank to extractors with custom extractor class <class 'extensions.front.tf.reshape_related_ext.RankFrontExtractor'>.
[ 2021-05-22 06:54:46,359 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Reshape to extractors with custom extractor class <class 'extensions.front.tf.reshape_related_ext.ReshapeExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Shape to extractors with custom extractor class <class 'extensions.front.tf.reshape_related_ext.ShapeExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Size to extractors with custom extractor class <class 'extensions.front.tf.reshape_related_ext.SizeFrontExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Squeeze to extractors with custom extractor class <class 'extensions.front.tf.reshape_related_ext.SqueezeExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResizeBilinear to extractors with custom extractor class <class 'extensions.front.tf.resize_bilinear.ResizeBilinearFrontExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResizeNearestNeighbor to extractors with custom extractor class <class 'extensions.front.tf.resize_nearest_neighbor.ResizeNearestNeighborFrontExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ReverseSequence to extractors with custom extractor class <class 'extensions.front.tf.reverse_sequence.ReverseSequenceFrontExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ReverseV2 to extractors with custom extractor class <class 'extensions.front.tf.reverse_v2.ReverseV2FrontExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Select to extractors with custom extractor class <class 'extensions.front.tf.select_ext.SelectExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sign to extractors with custom extractor class <class 'extensions.front.tf.sign_ext.SignExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Slice to extractors with custom extractor class <class 'extensions.front.tf.slice_ext.SliceExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Softmax to extractors with custom extractor class <class 'extensions.front.tf.softmax_ext.SoftmaxExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Softplus to extractors with custom extractor class <class 'extensions.front.tf.softplus_ext.SoftPlusExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SpaceToBatchND to extractors with custom extractor class <class 'extensions.front.tf.space_to_batch_ext.SpaceToBatchFrontExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SpaceToDepth to extractors with custom extractor class <class 'extensions.front.tf.space_to_depth_ext.SpaceToDepthFrontExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SparseFillEmptyRows to extractors with custom extractor class <class 'extensions.front.tf.sparse_fill_empty_rows_ext.SparseFillEmptyRowsFrontExtractor'>.
[ 2021-05-22 06:54:46,360 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SparseSegmentMean to extractors with custom extractor class <class 'extensions.front.tf.sparse_segment_mean_ext.SparseSegmentMeanFrontExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SparseSegmentSqrtN to extractors with custom extractor class <class 'extensions.front.tf.sparse_segment_sqrtn_ext.SparseSegmentSqrtNFrontExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SparseSegmentSum to extractors with custom extractor class <class 'extensions.front.tf.sparse_segment_sum_ext.SparseSegmentSumFrontExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SplitV to extractors with custom extractor class <class 'extensions.front.tf.split_ext.SplitVExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Unpack to extractors with custom extractor class <class 'extensions.front.tf.split_ext.UnpackExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Split to extractors with custom extractor class <class 'extensions.front.tf.split_ext.SplitExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry swish_f32 to extractors with custom extractor class <class 'extensions.front.tf.swish_ext.SwishExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Tile to extractors with custom extractor class <class 'extensions.front.tf.tile_ext.TileExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TopK to extractors with custom extractor class <class 'extensions.front.tf.topk_ext.TopKExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TopKV2 to extractors with custom extractor class <class 'extensions.front.tf.topk_ext.TopKV2Extractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Transpose to extractors with custom extractor class <class 'extensions.front.tf.transpose_ext.TransposeFrontExtractorTF'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Unique to extractors with custom extractor class <class 'extensions.front.tf.unique_ext.UniqueFrontExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Variable to extractors with custom extractor class <class 'extensions.front.tf.variable_ext.VariableExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry VariableV2 to extractors with custom extractor class <class 'extensions.front.tf.variable_ext.VariableV2Extractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry While to extractors with custom extractor class <class 'extensions.front.tf.while_ext.WhileExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry StatelessWhile to extractors with custom extractor class <class 'extensions.front.tf.while_ext.StatelessWhileExtractor'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Parameter to extractors with custom op class <class 'extensions.ops.parameter.Parameter'>.
[ 2021-05-22 06:54:46,361 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIterator to extractors with custom op class <class 'extensions.ops.tensor_iterator.TensorIterator'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Activation to extractors with custom op class <class 'mo.ops.activation.Activation'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Assign to extractors with custom op class <class 'mo.ops.assign.Assign'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry AttributedGather to extractors with custom op class <class 'extensions.ops.gather.AttributedGather'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Broadcast to extractors with custom op class <class 'mo.ops.broadcast.Broadcast'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry AttributedClamp to extractors with custom op class <class 'mo.ops.clamp.AttributedClamp'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Clamp to extractors with custom op class <class 'mo.ops.clamp.Clamp'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ConstantOfShape to extractors with custom op class <class 'mo.ops.constant_of_shape.ConstantOfShape'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Convolution to extractors with custom op class <class 'mo.ops.convolution.Convolution'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Crop to extractors with custom op class <class 'mo.ops.crop.Crop'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Deconvolution to extractors with custom op class <class 'mo.ops.deconvolution.Deconvolution'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DeformableConvolution to extractors with custom op class <class 'mo.ops.deformable_convolution.DeformableConvolution'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Eltwise to extractors with custom op class <class 'mo.ops.eltwise.Eltwise'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry EltwiseN to extractors with custom op class <class 'mo.ops.eltwise_n.EltwiseN'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry EltwiseNin1 to extractors with custom op class <class 'mo.ops.eltwise_ninputs_in_1.EltwiseNin1'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Flatten to extractors with custom op class <class 'mo.ops.flatten.Flatten'>.
[ 2021-05-22 06:54:46,362 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FlattenONNX to extractors with custom op class <class 'mo.ops.flatten.FlattenONNX'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GroupNorm to extractors with custom op class <class 'mo.ops.group_norm.GroupNorm'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LogSoftmaxONNX to extractors with custom op class <class 'mo.ops.log_softmax.LogSoftmaxONNX'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry AttributedLRN to extractors with custom op class <class 'mo.ops.lrn.AttributedLRN'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LstmNonLinearity to extractors with custom op class <class 'mo.ops.lstmnonlinearity.LstmNonLinearity'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Memory to extractors with custom op class <class 'mo.ops.memory.Memory'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MemoryOffset to extractors with custom op class <class 'mo.ops.memoryoffset.MemoryOffset'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry AttributedPad to extractors with custom op class <class 'mo.ops.pad.AttributedPad'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TFPad to extractors with custom op class <class 'mo.ops.pad.TFPad'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ONNXPad to extractors with custom op class <class 'mo.ops.pad.ONNXPad'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Permute to extractors with custom op class <class 'mo.ops.permute.Permute'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PoolingV2 to extractors with custom op class <class 'mo.ops.pooling.PoolingV2'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Pooling to extractors with custom op class <class 'mo.ops.pooling.Pooling'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry AttributedPower to extractors with custom op class <class 'mo.ops.power.AttributedPower'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ReadValue to extractors with custom op class <class 'mo.ops.read_value.ReadValue'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Result to extractors with custom op class <class 'mo.ops.result.Result'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ROIPooling to extractors with custom op class <class 'mo.ops.roipooling.ROIPooling'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ScaleShift to extractors with custom op class <class 'mo.ops.scale_shift.ScaleShiftOp'>.
[ 2021-05-22 06:54:46,363 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ShapeOf to extractors with custom op class <class 'mo.ops.shape.Shape'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry AttributedSlice to extractors with custom op class <class 'mo.ops.slice.AttributedSlice'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry CaffeSlice to extractors with custom op class <class 'mo.ops.slice.CaffeSlice'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TFSlice to extractors with custom op class <class 'mo.ops.slice.TFSlice'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MXSlice to extractors with custom op class <class 'mo.ops.slice.MXSlice'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SoftMaxONNX to extractors with custom op class <class 'mo.ops.softmax.SoftmaxONNX'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SpaceToBatch to extractors with custom op class <class 'mo.ops.space_to_batch.SpaceToBatch'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry BatchToSpace to extractors with custom op class <class 'mo.ops.space_to_batch.BatchToSpace'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry tdnncomponent to extractors with custom op class <class 'mo.ops.tdnncomponent.TdnnComponent'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry AttributedTile to extractors with custom op class <class 'mo.ops.tile.AttributedTile'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Unsqueeze to extractors with custom op class <class 'mo.ops.unsqueeze.Unsqueeze'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Swish to extractors with custom op class <class 'extensions.ops.activation_ops.Swish'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry BN to extractors with custom op class <class 'extensions.ops.BN.BN'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry batchNormInference to extractors with custom op class <class 'extensions.ops.BatchNormInference.BatchNormInference'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ConvertLike to extractors with custom op class <class 'extensions.ops.ConvertLike.ConvertLike'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DetectionOutput to extractors with custom op class <class 'extensions.ops.DetectionOutput.DetectionOutput'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Enter to extractors with custom op class <class 'extensions.ops.Enter.Enter'>.
[ 2021-05-22 06:54:46,364 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Exit to extractors with custom op class <class 'extensions.ops.Exit.Exit'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry RNN to extractors with custom op class <class 'extensions.ops.RNN.RNN'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GRU to extractors with custom op class <class 'extensions.ops.GRU.GRU'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GRUCell to extractors with custom op class <class 'extensions.ops.GRUCell.GRUCell'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTM to extractors with custom op class <class 'extensions.ops.LSTM.LSTM'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Gemm to extractors with custom op class <class 'extensions.ops.MatMul.GemmONNX'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FullyConnected to extractors with custom op class <class 'extensions.ops.MatMul.FullyConnected'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ONNXResize10 to extractors with custom op class <class 'extensions.ops.ONNXResize10.ONNXResize10'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ONNXResize11 to extractors with custom op class <class 'extensions.ops.ONNXResize11.ONNXResize11Op'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry RNNCell to extractors with custom op class <class 'extensions.ops.RNNCell.RNNCell'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Reverse to extractors with custom op class <class 'extensions.ops.Reverse.Reverse'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TFResize to extractors with custom op class <class 'extensions.ops.TFResize.TFResize'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayReadV3 to extractors with custom op class <class 'extensions.ops.TensorArrayRead.TensorArrayReader'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayScatterV3 to extractors with custom op class <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArraySizeV3 to extractors with custom op class <class 'extensions.ops.TensorArraySize.TensorArraySize'>.
[ 2021-05-22 06:54:46,365 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayWriteV3 to extractors with custom op class <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorInput to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorOutput to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorCondition to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorBackEdge to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Accum to extractors with custom op class <class 'extensions.ops.accum.AccumOp'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry AdaptiveAvgPooling to extractors with custom op class <class 'extensions.ops.adaptive_avg_pooling.AdaptiveAvgPooling'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Assert to extractors with custom op class <class 'extensions.ops.assert_op.Assert'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ATen to extractors with custom op class <class 'extensions.ops.aten.ATen'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Axpy to extractors with custom op class <class 'extensions.ops.axpy.AxpyOp'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Binarization to extractors with custom op class <class 'extensions.ops.binarization.Binarization'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry _contrib_box_nms to extractors with custom op class <class 'extensions.ops.box_nms.BoxNms'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ConstantFill to extractors with custom op class <class 'extensions.ops.constant_fill.ConstantFill'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry copy to extractors with custom op class <class 'extensions.ops.copyop.CopyOp'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Correlation to extractors with custom op class <class 'extensions.ops.correlation.CorrelationOp'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry CTCGreedyDecoderSeqLen to extractors with custom op class <class 'extensions.ops.ctc_greedy_decoder_seq_len.CTCGreedyDecoderSeqLenOp'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MXNetCumSum to extractors with custom op class <class 'extensions.ops.cumsum.MXNetCumSum'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DataAugmentation to extractors with custom op class <class 'extensions.ops.data_augmentation.DataAugmentationOp'>.
[ 2021-05-22 06:54:46,366 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DequantizeLinear to extractors with custom op class <class 'extensions.ops.dequantize_linear.DequantizeLinear'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronDetectionOutput to extractors with custom op class <class 'extensions.ops.detectionoutput_onnx.ExperimentalDetectronDetectionOutput'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FakeOutput to extractors with custom op class <class 'extensions.ops.fake_output.FakeOutput'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FakeQuantize to extractors with custom op class <class 'extensions.ops.fakequantize.FakeQuantize'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GatherElements to extractors with custom op class <class 'extensions.ops.gatherelements.GatherElements'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Gelu to extractors with custom op class <class 'extensions.ops.gelu.GeLUOP'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GRN to extractors with custom op class <class 'extensions.ops.grn.GRNOp'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry HardSigmoid to extractors with custom op class <class 'extensions.ops.hard_sigmoid.HardSigmoid'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry InstanceNormalization to extractors with custom op class <class 'extensions.ops.instance_normalization.InstanceNormalization'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Interp to extractors with custom op class <class 'extensions.ops.interp.InterpOp'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Interpolate to extractors with custom op class <class 'extensions.ops.interpolate.Interpolate'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTMCell to extractors with custom op class <class 'extensions.ops.lstm_cell.LSTMCell'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTMSequence to extractors with custom op class <class 'extensions.ops.lstm_sequence.LSTMSequence'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Merge to extractors with custom op class <class 'extensions.ops.merge.Merge'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MVN to extractors with custom op class <class 'extensions.ops.mvn.MVN'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MVNOnnx to extractors with custom op class <class 'extensions.ops.mvn.MVNOnnx'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MVNCaffe to extractors with custom op class <class 'extensions.ops.mvn.MVNCaffe'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MXRepeat to extractors with custom op class <class 'extensions.ops.mxrepeat.MXRepeat'>.
[ 2021-05-22 06:54:46,367 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MXReshape to extractors with custom op class <class 'extensions.ops.mxreshape.MXReshape'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry NonMaxSuppression to extractors with custom op class <class 'extensions.ops.non_max_suppression.NonMaxSuppression'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry NonZero to extractors with custom op class <class 'extensions.ops.non_zero.NonZero'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Normalize to extractors with custom op class <class 'extensions.ops.normalize.NormalizeOp'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry NormalizeL2 to extractors with custom op class <class 'extensions.ops.normalize_l2.NormalizeL2Op'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry pnorm to extractors with custom op class <class 'extensions.ops.pnorm.PNormOp'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PowerFile to extractors with custom op class <class 'extensions.ops.power_file.PowerFileOp'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PredictionHeatmap to extractors with custom op class <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PReLU to extractors with custom op class <class 'extensions.ops.prelu.PReLU'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PriorBox to extractors with custom op class <class 'extensions.ops.priorbox.PriorBoxOp'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PriorBoxClustered to extractors with custom op class <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronPriorGridGenerator to extractors with custom op class <class 'extensions.ops.priorgridgenerator_onnx.ExperimentalDetectronPriorGridGenerator'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Proposal to extractors with custom op class <class 'extensions.ops.proposal.ProposalOp'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronGenerateProposalsSingleImage to extractors with custom op class <class 'extensions.ops.proposal_onnx.ExperimentalDetectronGenerateProposalsSingleImage'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PSROIPooling to extractors with custom op class <class 'extensions.ops.psroipooling.PSROIPoolingOp'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry QuantizeLinear to extractors with custom op class <class 'extensions.ops.quantize_linear.QuantizeLinear'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry RegionYolo to extractors with custom op class <class 'extensions.ops.regionyolo.RegionYoloOp'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ReorgYolo to extractors with custom op class <class 'extensions.ops.reorgyolo.ReorgYoloOp'>.
[ 2021-05-22 06:54:46,368 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Resize to extractors with custom op class <class 'extensions.ops.resize.ResizeOp'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ROIAlign to extractors with custom op class <class 'extensions.ops.roialign.ROIAlign'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronROIFeatureExtractor to extractors with custom op class <class 'extensions.ops.roifeatureextractor_onnx.ExperimentalDetectronROIFeatureExtractor'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ShuffleChannels to extractors with custom op class <class 'extensions.ops.shufflechannel.ShuffleChannels'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SimplerNMS to extractors with custom op class <class 'extensions.ops.simplernms.SimplerNMSOp'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry slice_like to extractors with custom op class <class 'extensions.ops.slice_like.SliceLike'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SparseReshape to extractors with custom op class <class 'extensions.ops.sparse_reshape.SparseReshape'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SpatialTransformer to extractors with custom op class <class 'extensions.ops.spatial_transformer.SpatialTransformOp'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Splice to extractors with custom op class <class 'extensions.ops.splice.Splice'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SwapAxis to extractors with custom op class <class 'extensions.ops.swapaxis.SwapAxis'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Switch to extractors with custom op class <class 'extensions.ops.switch.Switch'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronTopKROIs to extractors with custom op class <class 'extensions.ops.topkrois_onnx.ExperimentalDetectronTopKROIs'>.
[ 2021-05-22 06:54:46,369 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Upsample to extractors with custom op class <class 'extensions.ops.upsample.UpsampleOp'>.
[ WARNING ]  Instructions/layers that do not have attribute extractors:
[ WARNING ]      HashTableV2 (1)
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/hash_table
[ WARNING ]      StaticRegexReplace (32)
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_1
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_2
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_3
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_4
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_5
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_6
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_7
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_8
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_9
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_10
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_11
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_12
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_13
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_14
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_15
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_16
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_17
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_18
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_19
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_20
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_21
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_22
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_23
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_24
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_25
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/normalize/StaticRegexReplace_26
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/StaticRegexReplace
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/StaticRegexReplace_1
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/add_bigrams/StaticRegexReplace
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/add_bigrams/StaticRegexReplace_1
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/add_bigrams/StaticRegexReplace_2
[ WARNING ]      StringJoin (2)
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/StringJoin
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/add_bigrams/StringJoin
[ WARNING ]      StringSplit (1)
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/tokenize/StringSplit/StringSplit
[ WARNING ]      SparseToDense (2)
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense
[ WARNING ]          StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/SparseToDense
[ WARNING ]      Where (1)
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/Where
[ WARNING ]      LookupTableFindV2 (1)
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/hash_table_Lookup/hash_table_Lookup/LookupTableFindV2
[ WARNING ]      StringToHashBucketFast (1)
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/hash_table_Lookup/hash_bucket
[ WARNING ]      LookupTableSizeV2 (1)
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/hash_table_Lookup/hash_table_Size/LookupTableSizeV2
[ WARNING ]      SelectV2 (1)
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/hash_table_Lookup/SelectV2
[ WARNING ]      DynamicPartition (2)
[ WARNING ]          StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/DynamicPartition_1
[ WARNING ]          StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/DynamicPartition
[ WARNING ]      FloorDiv (1)
[ WARNING ]          StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/floordiv
[ WARNING ]      ParallelDynamicStitch (1)
[ WARNING ]          StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup
[ WARNING ]      SegmentSum (2)
[ WARNING ]          StatefulPartitionedCall/text_preprocessor/PackPositions/SegmentSum
[ WARNING ]          StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/SegmentSum
[ WARNING ]      NoOp (1)
[ WARNING ]          Func/StatefulPartitionedCall/output_control_node/_182
[ 2021-05-22 06:54:47,460 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.load.loader.LoadFinish'>
[ INFO ]  Skip replacer <class 'extensions.front.transformations_config.TransformationsConfig'> (graph_condition not satisfied)
[ 2021-05-22 06:54:47,467 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.analysis.boolean_input.TrainingPhaseAnalysis'>
[ 2021-05-22 06:54:47,471 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV3Analysis'>
[ 2021-05-22 06:54:47,479 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV1V2Analysis'>
[ 2021-05-22 06:54:47,499 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.analysis.tf_retinanet.TensorFlowRetinaNet'>
[ 2021-05-22 06:54:47,520 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.analysis.tf_od_api.TensorFlowObjectDetectionAPIAnalysis'>
[ 2021-05-22 06:54:47,520 ] [ DEBUG ] [ tf_od_api:67 ]  The model does not contain nodes that must exist in the TF OD API models
[ 2021-05-22 06:54:47,523 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.analysis.nodes.IntermediatesNodesAnalysis'>
[ 2021-05-22 06:54:47,528 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.analysis.inputs.InputsAnalysis'>
[ 2021-05-22 06:54:47,533 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'>
[ INFO ]  Skip replacer <class 'extensions.analysis.json_print.AnalysisJSONPrint'> (enabled = False)
[ 2021-05-22 06:54:47,536 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 2021-05-22 06:54:47,538 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.output_cut.OutputCut'>
[ 2021-05-22 06:54:47,549 ] [ DEBUG ] [ graph:1063 ]  Sink: Identity/sink_port_0 for node Identity
[ 2021-05-22 06:54:47,549 ] [ DEBUG ] [ graph:1064 ]  {'kind': 'op', 'op': 'Result', 'type': 'Result', 'version': 'opset1', 'infer': <function Result.__init__.<locals>.<lambda> at 0x7faf9a3c4ee0>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'Identity/sink_port_0', 'dim_attrs': ['channel_dims', 'spatial_dims', 'batch_dims', 'axis'], 'shape_attrs': ['window', 'stride', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7faf9a3d2dc0>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}}
[ 2021-05-22 06:54:47,549 ] [ DEBUG ] [ graph:1065 ]  Add edge from Identity to Identity/sink_port_0
[ 2021-05-22 06:54:47,550 ] [ DEBUG ] [ eliminate:66 ]  The following nodes are seeded as output reachable:
Identity/sink_port_0
[ 2021-05-22 06:54:47,597 ] [ DEBUG ] [ eliminate:142 ]  Removing the following dead nodes: 
[ 2021-05-22 06:54:47,603 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.input_cut.InputCut'>
[ 2021-05-22 06:54:47,613 ] [ DEBUG ] [ eliminate:66 ]  The following nodes are seeded as output reachable:
Identity/sink_port_0
[ 2021-05-22 06:54:47,660 ] [ DEBUG ] [ eliminate:142 ]  Removing the following dead nodes: 
[ INFO ]  Skip replacer <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'> (graph_condition not satisfied)
[ 2021-05-22 06:54:47,667 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.restore_ports.RestorePorts'>
[ 2021-05-22 06:54:47,676 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.MoveEmbeddedInputsToInputs.MoveEmbeddedInputsToInputs'>
[ 2021-05-22 06:54:47,700 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'>
[ INFO ]  Skip replacer <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'> (graph_condition not satisfied)
[ 2021-05-22 06:54:47,720 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.reshape_dim_normalizer.ReshapeDimNormalizer'>
[ 2021-05-22 06:54:48,171 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.pass_separator.FrontStart'>
[ 2021-05-22 06:54:48,178 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.YOLO.YoloV3RegionAddon'>
[ WARNING ]  Configuration file for custom replacement with id 'TFYOLOV3' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFYOLOV3'
[ 2021-05-22 06:54:48,185 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.split_normalizer.VariadicSplitInputsSwap'>
[ 2021-05-22 06:54:48,192 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.UnpackPackReverseInputChannels.UnpackPackReverseInputChannels'>
[ 2021-05-22 06:54:48,217 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.transposed_mvn_unrolled.TransposedMVNUnrolled'>
[ 2021-05-22 06:54:48,217 ] [ DEBUG ] [ transposed_mvn_unrolled:108 ]  Enabled Transposed MVN replacement
[ 2021-05-22 06:54:48,241 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.TopKNormalize.TopKNormalize'>
[ 2021-05-22 06:54:48,248 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.ThresholdedReluDecomposition.ThresholdedReluDecomposition'>
[ 2021-05-22 06:54:48,256 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.SwitchMergeOptimization.SwitchMergeOptimization'>
[ 2021-05-22 06:54:48,263 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.Swish_fusion.SwishWithSigmoidWithoutBeta'>
[ 2021-05-22 06:54:48,287 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.Swish_fusion.SwishWithSigmoidWithBeta'>
[ 2021-05-22 06:54:48,311 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.swap_deconv_inputs.SwapDeconvInputs'>
[ INFO ]  Skip replacer <class 'extensions.front.sub.Sub'> (enabled = False)
[ 2021-05-22 06:54:48,318 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.SqueezeNormalize.SqueezeNormalize'>
[ 2021-05-22 06:54:48,325 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.split_normalizer.SplitInputsReconnect'>
[ 2021-05-22 06:54:48,332 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.Softplus_fusion.SoftplusFusion'>
[ 2021-05-22 06:54:48,357 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.Mish_fusion.MishFusion'>
[ 2021-05-22 06:54:48,380 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.softsign_replacer.SoftSign'>
[ 2021-05-22 06:54:48,404 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.SizeReplacer.SizeFrontReplacer'>
[ 2021-05-22 06:54:48,431 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.scatter_normalizer.ScatterNormalizer'>
[ 2021-05-22 06:54:48,438 ] [ DEBUG ] [ class_registration:284 ]  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'
[ 2021-05-22 06:54:48,445 ] [ DEBUG ] [ class_registration:284 ]  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'
[ 2021-05-22 06:54:48,452 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'>
[ 2021-05-22 06:54:48,478 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.softmax.SoftmaxFromKeras'>
[ 2021-05-22 06:54:48,502 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.reciprocal.ReciprocalReplacer'>
[ 2021-05-22 06:54:48,527 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'>
[ 2021-05-22 06:54:48,551 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.prelu.PReLUWithAbsPatternFuse'>
[ 2021-05-22 06:54:48,575 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.prelu.PReLUPatternFuse'>
[ 2021-05-22 06:54:48,600 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.PowerToEltwises.PowerToEltwises'>
[ 2021-05-22 06:54:48,626 ] [ DEBUG ] [ eliminate:66 ]  The following nodes are seeded as output reachable:
Identity/sink_port_0
[ 2021-05-22 06:54:48,675 ] [ DEBUG ] [ eliminate:142 ]  Removing the following dead nodes: StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/Sqrt
StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Size
StatefulPartitionedCall/l2_normalize/Rsqrt
StatefulPartitionedCall/l2_normalize/Square
StatefulPartitionedCall/l2_normalize_1/Rsqrt
StatefulPartitionedCall/l2_normalize_1/Square
[ 2021-05-22 06:54:48,685 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'>
[ 2021-05-22 06:54:48,685 ] [ DEBUG ] [ mvn_unrolled:32 ]  Enabled MVN replacement
[ 2021-05-22 06:54:48,707 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.OneHotDepthNormalizer.OneHotDepthNormalizer'>
[ 2021-05-22 06:54:48,732 ] [ DEBUG ] [ class_registration:284 ]  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'
[ 2021-05-22 06:54:48,738 ] [ DEBUG ] [ class_registration:284 ]  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'
[ 2021-05-22 06:54:48,745 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIPreprocessorReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIPreprocessorReplacement'
[ 2021-05-22 06:54:48,752 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessor2Replacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIPreprocessor2Replacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIPreprocessor2Replacement'
[ 2021-05-22 06:54:48,758 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIProposalReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIProposalReplacement'
[ 2021-05-22 06:54:48,765 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.non_max_suppression_normalize.NonMaxSuppressionNormalize'>
[ 2021-05-22 06:54:48,772 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.non_max_suppression_normalize.TFNonMaxSuppressionNormalize'>
[ 2021-05-22 06:54:48,779 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ 2021-05-22 06:54:48,804 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.noop.NoOpElimination'>
[ 2021-05-22 06:54:48,822 ] [ DEBUG ] [ noop:40 ]  NoOp op was removed Func/StatefulPartitionedCall/output_control_node/_182
[ 2021-05-22 06:54:48,829 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ 2021-05-22 06:54:48,856 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'>
[ 2021-05-22 06:54:48,882 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.mvn.MVNReplacer'>
[ 2021-05-22 06:54:48,882 ] [ DEBUG ] [ mvn:29 ]  Enabled MVN replacement
[ 2021-05-22 06:54:48,904 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.Log1p.Log1p'>
[ 2021-05-22 06:54:48,928 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.LayerNorm.LayerNorm'>
[ INFO ]  Enabled LayerNorm pattern recognition
[ 2021-05-22 06:54:48,969 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.KerasRNNTransformation.KerasRNNOutputConcatenation'>
[ 2021-05-22 06:54:48,993 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.KerasRNNTransformation.KerasRNNInputSlicing'>
[ 2021-05-22 06:54:49,018 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.WhileNormalize.WhileNormalize'>
[ 2021-05-22 06:54:49,025 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.InterpolateNormalizer.InterpolateNormalizer'>
[ 2021-05-22 06:54:49,050 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.TFResizeToInterpolate.TFResizeToInterpolate'>
[ 2021-05-22 06:54:49,074 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.interpolate_reshape.InterpolateWithConcat'>
[ 2021-05-22 06:54:49,081 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.InterpolateV1ToInterpolate.InterpolateV1ToInterpolate'>
[ INFO ]  Skip replacer <class 'extensions.front.tf.InterpolateTransposes.InterpolateTranspose'> (graph_condition not satisfied)
[ 2021-05-22 06:54:49,089 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.instance_normalization.InstanceNormalization'>
[ 2021-05-22 06:54:49,114 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.image_scaler.ImageScaler'>
[ 2021-05-22 06:54:49,138 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.identityN_to_identity.IdentityN_to_Identity'>
[ 2021-05-22 06:54:49,145 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.global_pooling_to_reduce.GlobalPoolingToReduce'>
[ 2021-05-22 06:54:49,152 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.MatMul_normalizer.GemmDecomposer'>
[ 2021-05-22 06:54:49,177 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.GeLUMerger_Tanh.GeLUMergerTanh'>
[ INFO ]  Enabled GeLU Merger for approximation with TanH
[ 2021-05-22 06:54:49,202 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.GeLUMerger_Erf.GeLUMergerErf'>
[ INFO ]  Enabled GeLU Merger replacement for approximation with Erf
[ 2021-05-22 06:54:49,259 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.GNMT_DynamicSequenceLengths.GNMT_sequence_lengths'>
[ 2021-05-22 06:54:49,259 ] [ DEBUG ] [ GNMT_DynamicSequenceLengths:42 ]  +++++++++++++++ GNMT Sequence Lengths ConditionMatching ++++++++++++++++
[ 2021-05-22 06:54:49,281 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.MatMul_normalizer.FullyConnectedDecomposer'>
[ 2021-05-22 06:54:49,306 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.floor_div_decomposition.FloorDivDecomposition'>
[ 2021-05-22 06:54:49,316 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.flatten_to_reshape.FlattenToReshape'>
[ 2021-05-22 06:54:49,340 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.FillToBroadcast.FillToBroadcast'>
[ 2021-05-22 06:54:49,354 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.FakeQuantWithMinMaxVars.FakeQuantWithMinMaxVarsToQuantize'>
[ 2021-05-22 06:54:49,379 ] [ DEBUG ] [ class_registration:284 ]  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'
[ 2021-05-22 06:54:49,386 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.TFSliceToSlice.TFSliceToSliceReplacer'>
[ 2021-05-22 06:54:49,410 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2021-05-22 06:54:49,445 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.YOLO.YoloRegionAddon'>
[ WARNING ]  Configuration file for custom replacement with id 'TFYOLO' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFYOLO'
[ 2021-05-22 06:54:49,452 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.disable_weights_quantize_value_propagation.DisableQuantizeValuePropagation'>
[ 2021-05-22 06:54:49,477 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.fake_const_ext.FakeConstToConst'>
[ 2021-05-22 06:54:49,501 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.fifo_replacer.FIFOQueue'>
[ 2021-05-22 06:54:49,525 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.override_batch.OverrideBatch'>
[ 2021-05-22 06:54:49,527 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.broadcast_with_range.ExpandRangeConstant'>
[ 2021-05-22 06:54:49,535 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.embedding_segments_sum.EmbeddingSegmentsSumFrontReplacer2'>
[ 2021-05-22 06:54:49,579 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.embedding_segments_sum.EmbeddingSegmentsSumFrontReplacer'>
[ 2021-05-22 06:54:49,624 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.AutomlEfficientDet.EfficientDet'>
[ WARNING ]  Configuration file for custom replacement with id 'AutomlEfficientDet' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'AutomlEfficientDet'
[ 2021-05-22 06:54:49,630 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.Pack.Pack'>
[ 2021-05-22 06:54:49,651 ] [ DEBUG ] [ replacement:112 ]  Created edge from 861 to StatefulPartitionedCall/text_preprocessor/PackPositions/transpose with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('StatefulPartitionedCall/text_preprocessor/PackPositions/stack', 0, 'StatefulPartitionedCall/text_preprocessor/PackPositions/stack:0')], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2021-05-22 06:54:49,652 ] [ DEBUG ] [ replacement:228 ]  Removing nodes: ['StatefulPartitionedCall/text_preprocessor/PackPositions/stack']
[ 2021-05-22 06:54:49,655 ] [ DEBUG ] [ replacement:112 ]  Created edge from 866 to StatefulPartitionedCall/text_preprocessor/add_bigrams/Fill/Broadcast with attrs: {'fw_tensor_debug_info': [('StatefulPartitionedCall/text_preprocessor/add_bigrams/Fill/dims', 0, 'StatefulPartitionedCall/text_preprocessor/add_bigrams/Fill/dims:0')], 'in': 1, 'out': 0, 'in_attrs': ['in', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info']}
[ 2021-05-22 06:54:49,656 ] [ DEBUG ] [ replacement:228 ]  Removing nodes: ['StatefulPartitionedCall/text_preprocessor/add_bigrams/Fill/dims']
[ 2021-05-22 06:54:49,659 ] [ DEBUG ] [ replacement:112 ]  Created edge from 871 to StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/SparseToDense with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('StatefulPartitionedCall/text_preprocessor/PackPositions/SparseTensor/dense_shape', 0, 'StatefulPartitionedCall/text_preprocessor/PackPositions/SparseTensor/dense_shape:0')], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2021-05-22 06:54:49,660 ] [ DEBUG ] [ replacement:228 ]  Removing nodes: ['StatefulPartitionedCall/text_preprocessor/PackPositions/SparseTensor/dense_shape']
[ 2021-05-22 06:54:49,666 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.ExpandDimsToUnsqueeze.ExpandDimsToUnsqueeze'>
[ 2021-05-22 06:54:49,674 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.eltwise_n.EltwiseNReplacement'>
[ 2021-05-22 06:54:49,698 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.DropoutWithRandomUniformReplacer.DropoutWithRandomUniformReplacer'>
[ INFO ]  Skip replacer <class 'extensions.front.div.Div'> (enabled = False)
[ 2021-05-22 06:54:49,724 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ 2021-05-22 06:54:49,749 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIDetectionOutputReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIDetectionOutputReplacement'
[ 2021-05-22 06:54:49,756 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
[ 2021-05-22 06:54:49,780 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.WhereDecomposition.WhereDecomposition'>
[ 2021-05-22 06:54:49,802 ] [ DEBUG ] [ replacement:112 ]  Created edge from 877 to StatefulPartitionedCall/text_preprocessor/GatherNd with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('StatefulPartitionedCall/text_preprocessor/Where', 0, 'StatefulPartitionedCall/text_preprocessor/Where:0')], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2021-05-22 06:54:49,802 ] [ DEBUG ] [ replacement:112 ]  Created edge from 877 to StatefulPartitionedCall/text_preprocessor/PackPositions/strided_slice with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('StatefulPartitionedCall/text_preprocessor/Where', 0, 'StatefulPartitionedCall/text_preprocessor/Where:0')], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2021-05-22 06:54:49,802 ] [ DEBUG ] [ replacement:228 ]  Removing nodes: ['StatefulPartitionedCall/text_preprocessor/Where']
[ 2021-05-22 06:54:49,809 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.pad_tf_to_pad.PadTFToPad'>
[ 2021-05-22 06:54:49,816 ] [ DEBUG ] [ class_registration:284 ]  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'
[ 2021-05-22 06:54:49,823 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.split_normalizer.SqueezeAxis'>
[ 2021-05-22 06:54:49,830 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'
[ 2021-05-22 06:54:49,837 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement'
[ 2021-05-22 06:54:49,844 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.concat.Concat'>
[ 2021-05-22 06:54:49,869 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.ChangePlaceholderTypes.ChangePlaceholderTypes'>
[ 2021-05-22 06:54:49,872 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.ChangeCastOutputType.ChangeCastOutputType'>
[ 2021-05-22 06:54:49,896 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.CTCLossReplacement.CTCLossReplacement'>
[ 2021-05-22 06:54:49,920 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.CTCGreedyDecoderReplacement.CTCGreedyDecoderWithSparseToDenseShapeReplacement'>
[ 2021-05-22 06:54:49,942 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.CTCGreedyDecoderReplacement.CTCGreedyDecoderReplacement'>
[ 2021-05-22 06:54:49,964 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.sparse_to_dense_replacer.SparseToDenseReplacer'>
[ 2021-05-22 06:54:49,987 ] [ DEBUG ] [ replacement:112 ]  Created edge from StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/SparseToDense/ScatterNDUpdate_ to StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/count_nonzero/NotEqual with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/SparseToDense', 0, 'StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/SparseToDense:0')], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2021-05-22 06:54:49,987 ] [ DEBUG ] [ replacement:228 ]  Removing nodes: ['StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/SparseToDense']
[ 2021-05-22 06:54:49,991 ] [ DEBUG ] [ replacement:112 ]  Created edge from StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/ScatterNDUpdate_ to StatefulPartitionedCall/text_preprocessor/add_bigrams/ExpandDims with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense', 0, 'StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense:0')], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2021-05-22 06:54:49,991 ] [ DEBUG ] [ replacement:112 ]  Created edge from StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/ScatterNDUpdate_ to StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice_1 with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense', 0, 'StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense:0')], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2021-05-22 06:54:49,991 ] [ DEBUG ] [ replacement:112 ]  Created edge from StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/ScatterNDUpdate_ to StatefulPartitionedCall/text_preprocessor/add_bigrams/Shape with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense', 0, 'StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense:0')], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2021-05-22 06:54:49,991 ] [ DEBUG ] [ replacement:112 ]  Created edge from StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/ScatterNDUpdate_ to StatefulPartitionedCall/text_preprocessor/add_bigrams/StringJoin with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense', 0, 'StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense:0')], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2021-05-22 06:54:49,991 ] [ DEBUG ] [ replacement:228 ]  Removing nodes: ['StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense']
[ 2021-05-22 06:54:49,998 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.bucketize.BucketizeFrontReplacer'>
[ 2021-05-22 06:54:50,006 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.BlockLSTM.BlockLSTM'>
[ 2021-05-22 06:54:50,031 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.binary_quantize_normalization.BinaryFakeQuantizeNormalization'>
[ 2021-05-22 06:54:50,100 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.BatchToSpaceNDToUpsample.BatchToSpaceToUpsample'>
[ 2021-05-22 06:54:50,126 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.space_to_batch.BatchToSpaceNormalizer'>
[ 2021-05-22 06:54:50,134 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.rank_decomposer.RankDecomposer'>
[ 2021-05-22 06:54:50,159 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.split_normalizer.AttributedVariadicSplitToVariadicSplit'>
[ 2021-05-22 06:54:50,166 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.split_normalizer.AttributedSplitToSplit'>
[ 2021-05-22 06:54:50,174 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'>
[ 2021-05-22 06:54:50,250 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.AttributedPadToPad.AttributedPadToPad'>
[ 2021-05-22 06:54:50,257 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.AttributedGatherNormalizer.AttributedGatherNormalizer'>
[ 2021-05-22 06:54:50,282 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.AttributedClampNormalizer.AttributedClampNormalizer'>
[ 2021-05-22 06:54:50,290 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.HSwish_fusion.HSwishWithMinMax'>
[ 2021-05-22 06:54:50,316 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.HSwish_fusion.HSwishWithClamp'>
[ 2021-05-22 06:54:50,342 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.HSigmoid_fusion.HSigmoidWithReluMul'>
[ 2021-05-22 06:54:50,411 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.HSigmoid_fusion.HSigmoidWithReluDiv'>
[ 2021-05-22 06:54:50,479 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.HSigmoid_fusion.HSigmoidWithMinMax'>
[ 2021-05-22 06:54:50,550 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.HSigmoid_fusion.HSigmoidWithClamp'>
[ 2021-05-22 06:54:50,618 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.ATenToEmbeddingBag.AtenToEmbeddingBag'>
[ 2021-05-22 06:54:50,626 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.tf.assign_elimination.AssignAndAssertElimination'>
[ 2021-05-22 06:54:50,636 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.ArgMaxSqueeze.ArgMaxSqueeze'>
[ 2021-05-22 06:54:50,661 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.pass_separator.FrontFinish'>
[ 2021-05-22 06:54:50,668 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.front.create_tensor_nodes.CreateTensorNodes'>
[ 2021-05-22 06:54:50,729 ] [ DEBUG ] [ eliminate:66 ]  The following nodes are seeded as output reachable:
Identity/sink_port_0
[ 2021-05-22 06:54:50,834 ] [ DEBUG ] [ eliminate:142 ]  Removing the following dead nodes: StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/ones
StatefulPartitionedCall/text_preprocessor/PackPositions/ones_like
StatefulPartitionedCall/text_preprocessor/add_bigrams/Fill
StatefulPartitionedCall/text_preprocessor/ones_like
[ 2021-05-22 06:54:50,857 ] [ DEBUG ] [ class_registration:284 ]  Run replacer <class 'extensions.middle.PartialInfer.PartialInfer'>
[ 2021-05-22 06:54:50,875 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,875 ] [ DEBUG ] [ infer:130 ]  Partial infer for 877/value
[ 2021-05-22 06:54:50,875 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,875 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,875 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,875 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [2], value = [1 0]
[ 2021-05-22 06:54:50,876 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,876 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/SparseTensor/dense_shape/Unsqueeze874_input_port_1/value
[ 2021-05-22 06:54:50,876 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,876 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,876 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,876 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:50,876 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,876 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/SparseTensor/dense_shape/Unsqueeze_input_port_1/value
[ 2021-05-22 06:54:50,876 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,876 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,876 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,877 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:50,877 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,877 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/Fill/dims/Unsqueeze869_input_port_1/value
[ 2021-05-22 06:54:50,877 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,877 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,877 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,877 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/Fill/dims/Unsqueeze_input_port_1/value
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/stack/Unsqueeze864_input_port_1/value
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,878 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:50,879 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,879 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/stack/Unsqueeze_input_port_1/value
[ 2021-05-22 06:54:50,879 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,879 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,879 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,879 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:50,879 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,879 ] [ DEBUG ] [ infer:130 ]  Partial infer for 853
[ 2021-05-22 06:54:50,879 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,879 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,879 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 2.0
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:130 ]  Partial infer for 851
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0.5
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:130 ]  Partial infer for 849
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,880 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -0.5
[ 2021-05-22 06:54:50,881 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,881 ] [ DEBUG ] [ infer:130 ]  Partial infer for 847
[ 2021-05-22 06:54:50,881 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,881 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,881 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,881 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -0.5
[ 2021-05-22 06:54:50,881 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,881 ] [ DEBUG ] [ infer:130 ]  Partial infer for 845
[ 2021-05-22 06:54:50,881 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,881 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,881 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 2.0
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Size/Shape/ReduceProd//value
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/l2_normalize_1/Maximum/y
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,882 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1e-12
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/l2_normalize_1/Sum/reduction_indices
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/l2_normalize/Maximum/y
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,883 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1e-12
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/l2_normalize/Sum/reduction_indices
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/axis
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_180
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,884 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,885 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,885 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.11463062 -0.07836656 -0.05575394 ...  0.04569088  0.02571615
   0.14165974]
 [ 0.12933229  0...
[ 2021-05-22 06:54:50,886 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,886 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_180
[ 2021-05-22 06:54:50,886 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,886 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,887 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.11463062 -0.07836656 -0.05575394 ...  0.04569088  0.02571615
   0.14165974]
 [ 0.12933229  0...
[ 2021-05-22 06:54:50,887 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,888 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.11463062 -0.07836656 -0.05575394 ...  0.04569088  0.02571615
   0.14165974]
 [ 0.12933229  0...
[ 2021-05-22 06:54:50,888 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,888 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_29
[ 2021-05-22 06:54:50,888 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,888 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,889 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.11463062 -0.07836656 -0.05575394 ...  0.04569088  0.02571615
   0.14165974]
 [ 0.12933229  0...
[ 2021-05-22 06:54:50,889 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,890 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.11463062 -0.07836656 -0.05575394 ...  0.04569088  0.02571615
   0.14165974]
 [ 0.12933229  0...
[ 2021-05-22 06:54:50,890 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,890 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_179
[ 2021-05-22 06:54:50,890 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,890 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,890 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,891 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.0275327  -0.08507345  0.25096643 ... -0.30117157  0.36141813
  -0.03198001]
 [ 0.34876513  0...
[ 2021-05-22 06:54:50,891 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,891 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_179
[ 2021-05-22 06:54:50,891 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,891 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,892 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.0275327  -0.08507345  0.25096643 ... -0.30117157  0.36141813
  -0.03198001]
 [ 0.34876513  0...
[ 2021-05-22 06:54:50,892 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,893 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.0275327  -0.08507345  0.25096643 ... -0.30117157  0.36141813
  -0.03198001]
 [ 0.34876513  0...
[ 2021-05-22 06:54:50,893 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,893 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_28
[ 2021-05-22 06:54:50,893 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,893 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,894 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.0275327  -0.08507345  0.25096643 ... -0.30117157  0.36141813
  -0.03198001]
 [ 0.34876513  0...
[ 2021-05-22 06:54:50,894 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,895 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.0275327  -0.08507345  0.25096643 ... -0.30117157  0.36141813
  -0.03198001]
 [ 0.34876513  0...
[ 2021-05-22 06:54:50,896 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,896 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_178
[ 2021-05-22 06:54:50,896 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,896 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,896 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,897 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.07273147 -0.07769843 -0.3524449  ...  0.17510864  0.12913279
   0.001104  ]
 [-0.3718297  -0...
[ 2021-05-22 06:54:50,897 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,897 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_178
[ 2021-05-22 06:54:50,897 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,897 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,898 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.07273147 -0.07769843 -0.3524449  ...  0.17510864  0.12913279
   0.001104  ]
 [-0.3718297  -0...
[ 2021-05-22 06:54:50,898 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,899 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.07273147 -0.07769843 -0.3524449  ...  0.17510864  0.12913279
   0.001104  ]
 [-0.3718297  -0...
[ 2021-05-22 06:54:50,899 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,899 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_27
[ 2021-05-22 06:54:50,899 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,899 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,900 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.07273147 -0.07769843 -0.3524449  ...  0.17510864  0.12913279
   0.001104  ]
 [-0.3718297  -0...
[ 2021-05-22 06:54:50,900 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,901 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.07273147 -0.07769843 -0.3524449  ...  0.17510864  0.12913279
   0.001104  ]
 [-0.3718297  -0...
[ 2021-05-22 06:54:50,901 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,901 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_177
[ 2021-05-22 06:54:50,901 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,901 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,901 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,902 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-9.8184779e-02 -1.8381909e-02 -6.1043397e-02 ...  2.4402789e-03
   2.9751059e-04 -3.1627074e-02...
[ 2021-05-22 06:54:50,902 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,902 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_177
[ 2021-05-22 06:54:50,902 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,902 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,903 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-9.8184779e-02 -1.8381909e-02 -6.1043397e-02 ...  2.4402789e-03
   2.9751059e-04 -3.1627074e-02...
[ 2021-05-22 06:54:50,903 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,904 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-9.8184779e-02 -1.8381909e-02 -6.1043397e-02 ...  2.4402789e-03
   2.9751059e-04 -3.1627074e-02...
[ 2021-05-22 06:54:50,904 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,904 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_26
[ 2021-05-22 06:54:50,904 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,904 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,905 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-9.8184779e-02 -1.8381909e-02 -6.1043397e-02 ...  2.4402789e-03
   2.9751059e-04 -3.1627074e-02...
[ 2021-05-22 06:54:50,905 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,906 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-9.8184779e-02 -1.8381909e-02 -6.1043397e-02 ...  2.4402789e-03
   2.9751059e-04 -3.1627074e-02...
[ 2021-05-22 06:54:50,906 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,906 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_176
[ 2021-05-22 06:54:50,906 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,906 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,907 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,907 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.16742264  0.06086693 -0.24894111 ...  0.07629877  0.56498504
  -0.01507246]
 [ 0.11435985 -0...
[ 2021-05-22 06:54:50,907 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,908 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_176
[ 2021-05-22 06:54:50,908 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,908 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,908 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.16742264  0.06086693 -0.24894111 ...  0.07629877  0.56498504
  -0.01507246]
 [ 0.11435985 -0...
[ 2021-05-22 06:54:50,909 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,910 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.16742264  0.06086693 -0.24894111 ...  0.07629877  0.56498504
  -0.01507246]
 [ 0.11435985 -0...
[ 2021-05-22 06:54:50,910 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,910 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_25
[ 2021-05-22 06:54:50,910 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,910 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,910 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.16742264  0.06086693 -0.24894111 ...  0.07629877  0.56498504
  -0.01507246]
 [ 0.11435985 -0...
[ 2021-05-22 06:54:50,911 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,911 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.16742264  0.06086693 -0.24894111 ...  0.07629877  0.56498504
  -0.01507246]
 [ 0.11435985 -0...
[ 2021-05-22 06:54:50,912 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,912 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_175
[ 2021-05-22 06:54:50,912 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,912 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,912 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,913 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.05959193 -0.04037628 -0.05845106 ...  0.12701263  0.13694422
   0.20288725]
 [-0.04205358  0...
[ 2021-05-22 06:54:50,913 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,913 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_175
[ 2021-05-22 06:54:50,913 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,913 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,914 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.05959193 -0.04037628 -0.05845106 ...  0.12701263  0.13694422
   0.20288725]
 [-0.04205358  0...
[ 2021-05-22 06:54:50,914 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,915 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.05959193 -0.04037628 -0.05845106 ...  0.12701263  0.13694422
   0.20288725]
 [-0.04205358  0...
[ 2021-05-22 06:54:50,915 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,915 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_24
[ 2021-05-22 06:54:50,915 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,915 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,916 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.05959193 -0.04037628 -0.05845106 ...  0.12701263  0.13694422
   0.20288725]
 [-0.04205358  0...
[ 2021-05-22 06:54:50,916 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,917 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.05959193 -0.04037628 -0.05845106 ...  0.12701263  0.13694422
   0.20288725]
 [-0.04205358  0...
[ 2021-05-22 06:54:50,917 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,917 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_174
[ 2021-05-22 06:54:50,917 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,917 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,917 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,918 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.07891668 -0.13877505 -0.10906257 ... -0.09160855 -0.163668
   0.02227899]
 [-0.00901792  0.1...
[ 2021-05-22 06:54:50,918 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,918 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_174
[ 2021-05-22 06:54:50,918 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,918 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,919 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.07891668 -0.13877505 -0.10906257 ... -0.09160855 -0.163668
   0.02227899]
 [-0.00901792  0.1...
[ 2021-05-22 06:54:50,919 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,920 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.07891668 -0.13877505 -0.10906257 ... -0.09160855 -0.163668
   0.02227899]
 [-0.00901792  0.1...
[ 2021-05-22 06:54:50,920 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,920 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_23
[ 2021-05-22 06:54:50,920 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,920 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,921 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.07891668 -0.13877505 -0.10906257 ... -0.09160855 -0.163668
   0.02227899]
 [-0.00901792  0.1...
[ 2021-05-22 06:54:50,921 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,922 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.07891668 -0.13877505 -0.10906257 ... -0.09160855 -0.163668
   0.02227899]
 [-0.00901792  0.1...
[ 2021-05-22 06:54:50,922 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,922 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_173
[ 2021-05-22 06:54:50,922 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,922 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,922 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,923 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.15305503 -0.08500508  0.08521025 ...  0.1082183   0.2862894
  -0.26546088]
 [ 0.12340251 -0....
[ 2021-05-22 06:54:50,923 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,923 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_173
[ 2021-05-22 06:54:50,923 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,923 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,924 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.15305503 -0.08500508  0.08521025 ...  0.1082183   0.2862894
  -0.26546088]
 [ 0.12340251 -0....
[ 2021-05-22 06:54:50,924 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,925 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.15305503 -0.08500508  0.08521025 ...  0.1082183   0.2862894
  -0.26546088]
 [ 0.12340251 -0....
[ 2021-05-22 06:54:50,925 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,925 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_22
[ 2021-05-22 06:54:50,925 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,925 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,926 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.15305503 -0.08500508  0.08521025 ...  0.1082183   0.2862894
  -0.26546088]
 [ 0.12340251 -0....
[ 2021-05-22 06:54:50,926 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,927 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.15305503 -0.08500508  0.08521025 ...  0.1082183   0.2862894
  -0.26546088]
 [ 0.12340251 -0....
[ 2021-05-22 06:54:50,927 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,927 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_172
[ 2021-05-22 06:54:50,927 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,927 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,928 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,928 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.19492838  0.0797862   0.23118877 ...  0.01758077 -0.19197112
   0.21560025]
 [ 0.21572661 -0...
[ 2021-05-22 06:54:50,928 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,929 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_172
[ 2021-05-22 06:54:50,929 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,929 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,929 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.19492838  0.0797862   0.23118877 ...  0.01758077 -0.19197112
   0.21560025]
 [ 0.21572661 -0...
[ 2021-05-22 06:54:50,930 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,930 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.19492838  0.0797862   0.23118877 ...  0.01758077 -0.19197112
   0.21560025]
 [ 0.21572661 -0...
[ 2021-05-22 06:54:50,930 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,931 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_21
[ 2021-05-22 06:54:50,931 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,931 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,931 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.19492838  0.0797862   0.23118877 ...  0.01758077 -0.19197112
   0.21560025]
 [ 0.21572661 -0...
[ 2021-05-22 06:54:50,932 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,932 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.19492838  0.0797862   0.23118877 ...  0.01758077 -0.19197112
   0.21560025]
 [ 0.21572661 -0...
[ 2021-05-22 06:54:50,932 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,933 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_171
[ 2021-05-22 06:54:50,933 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,933 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,933 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,933 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.08254661 -0.09988307 -0.11989974 ... -0.13378102 -0.04713519
   0.11090656]
 [-0.06433187  0...
[ 2021-05-22 06:54:50,934 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,934 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_171
[ 2021-05-22 06:54:50,934 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,934 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,934 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.08254661 -0.09988307 -0.11989974 ... -0.13378102 -0.04713519
   0.11090656]
 [-0.06433187  0...
[ 2021-05-22 06:54:50,935 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,935 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.08254661 -0.09988307 -0.11989974 ... -0.13378102 -0.04713519
   0.11090656]
 [-0.06433187  0...
[ 2021-05-22 06:54:50,936 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,936 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_20
[ 2021-05-22 06:54:50,936 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,936 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,936 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.08254661 -0.09988307 -0.11989974 ... -0.13378102 -0.04713519
   0.11090656]
 [-0.06433187  0...
[ 2021-05-22 06:54:50,937 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,937 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.08254661 -0.09988307 -0.11989974 ... -0.13378102 -0.04713519
   0.11090656]
 [-0.06433187  0...
[ 2021-05-22 06:54:50,938 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,938 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_170
[ 2021-05-22 06:54:50,938 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,938 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,938 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,939 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.07652135 -0.09949188 -0.1043852  ...  0.06919847 -0.08307455
  -0.14318722]
 [-0.00112605  0...
[ 2021-05-22 06:54:50,939 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,939 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_170
[ 2021-05-22 06:54:50,939 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,939 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,940 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.07652135 -0.09949188 -0.1043852  ...  0.06919847 -0.08307455
  -0.14318722]
 [-0.00112605  0...
[ 2021-05-22 06:54:50,940 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,941 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.07652135 -0.09949188 -0.1043852  ...  0.06919847 -0.08307455
  -0.14318722]
 [-0.00112605  0...
[ 2021-05-22 06:54:50,941 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,941 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_19
[ 2021-05-22 06:54:50,941 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,941 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,941 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.07652135 -0.09949188 -0.1043852  ...  0.06919847 -0.08307455
  -0.14318722]
 [-0.00112605  0...
[ 2021-05-22 06:54:50,942 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,943 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.07652135 -0.09949188 -0.1043852  ...  0.06919847 -0.08307455
  -0.14318722]
 [-0.00112605  0...
[ 2021-05-22 06:54:50,943 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,943 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_169
[ 2021-05-22 06:54:50,943 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,943 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,943 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,944 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.0976954   0.05696044  0.0937017  ...  0.16453785 -0.15920527
   0.17072308]
 [-0.21069205  0...
[ 2021-05-22 06:54:50,944 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,944 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_169
[ 2021-05-22 06:54:50,944 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,944 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,945 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.0976954   0.05696044  0.0937017  ...  0.16453785 -0.15920527
   0.17072308]
 [-0.21069205  0...
[ 2021-05-22 06:54:50,945 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,946 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.0976954   0.05696044  0.0937017  ...  0.16453785 -0.15920527
   0.17072308]
 [-0.21069205  0...
[ 2021-05-22 06:54:50,946 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,946 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_18
[ 2021-05-22 06:54:50,946 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,946 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,947 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.0976954   0.05696044  0.0937017  ...  0.16453785 -0.15920527
   0.17072308]
 [-0.21069205  0...
[ 2021-05-22 06:54:50,947 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,948 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.0976954   0.05696044  0.0937017  ...  0.16453785 -0.15920527
   0.17072308]
 [-0.21069205  0...
[ 2021-05-22 06:54:50,948 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,948 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_168
[ 2021-05-22 06:54:50,948 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,948 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,948 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,949 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.10370122 -0.14840586  0.03120127 ...  0.0045823   0.08820543
  -0.09093887]
 [ 0.10003082 -0...
[ 2021-05-22 06:54:50,949 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,949 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_168
[ 2021-05-22 06:54:50,949 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,949 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,950 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.10370122 -0.14840586  0.03120127 ...  0.0045823   0.08820543
  -0.09093887]
 [ 0.10003082 -0...
[ 2021-05-22 06:54:50,950 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,951 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.10370122 -0.14840586  0.03120127 ...  0.0045823   0.08820543
  -0.09093887]
 [ 0.10003082 -0...
[ 2021-05-22 06:54:50,951 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,951 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_17
[ 2021-05-22 06:54:50,951 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,951 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,952 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.10370122 -0.14840586  0.03120127 ...  0.0045823   0.08820543
  -0.09093887]
 [ 0.10003082 -0...
[ 2021-05-22 06:54:50,952 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,953 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.10370122 -0.14840586  0.03120127 ...  0.0045823   0.08820543
  -0.09093887]
 [ 0.10003082 -0...
[ 2021-05-22 06:54:50,953 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,953 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_167
[ 2021-05-22 06:54:50,953 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,953 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,953 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,954 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.03932004  0.21401067 -0.13068247 ...  0.06992402  0.01855155
   0.00927827]
 [-0.04133309 -0...
[ 2021-05-22 06:54:50,954 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,954 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_167
[ 2021-05-22 06:54:50,954 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,955 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,955 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.03932004  0.21401067 -0.13068247 ...  0.06992402  0.01855155
   0.00927827]
 [-0.04133309 -0...
[ 2021-05-22 06:54:50,956 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,956 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.03932004  0.21401067 -0.13068247 ...  0.06992402  0.01855155
   0.00927827]
 [-0.04133309 -0...
[ 2021-05-22 06:54:50,956 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,956 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_16
[ 2021-05-22 06:54:50,957 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,957 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,957 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.03932004  0.21401067 -0.13068247 ...  0.06992402  0.01855155
   0.00927827]
 [-0.04133309 -0...
[ 2021-05-22 06:54:50,958 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,959 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.03932004  0.21401067 -0.13068247 ...  0.06992402  0.01855155
   0.00927827]
 [-0.04133309 -0...
[ 2021-05-22 06:54:50,959 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,959 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_166
[ 2021-05-22 06:54:50,959 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,959 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,959 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,960 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01894179  0.02687731  0.14385954 ...  0.5025499  -0.11388813
  -0.21903104]
 [-0.08365308  0...
[ 2021-05-22 06:54:50,960 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,960 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_166
[ 2021-05-22 06:54:50,960 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,960 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,961 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.01894179  0.02687731  0.14385954 ...  0.5025499  -0.11388813
  -0.21903104]
 [-0.08365308  0...
[ 2021-05-22 06:54:50,961 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,962 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01894179  0.02687731  0.14385954 ...  0.5025499  -0.11388813
  -0.21903104]
 [-0.08365308  0...
[ 2021-05-22 06:54:50,962 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,962 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_15
[ 2021-05-22 06:54:50,962 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,963 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,963 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.01894179  0.02687731  0.14385954 ...  0.5025499  -0.11388813
  -0.21903104]
 [-0.08365308  0...
[ 2021-05-22 06:54:50,964 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,964 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01894179  0.02687731  0.14385954 ...  0.5025499  -0.11388813
  -0.21903104]
 [-0.08365308  0...
[ 2021-05-22 06:54:50,965 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,965 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_165
[ 2021-05-22 06:54:50,965 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,965 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,965 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,966 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.06790983  0.10032212 -0.06301858 ...  0.20409326 -0.09105169
   0.21169141]
 [ 0.19896743  0...
[ 2021-05-22 06:54:50,966 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,966 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_165
[ 2021-05-22 06:54:50,966 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,966 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,967 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.06790983  0.10032212 -0.06301858 ...  0.20409326 -0.09105169
   0.21169141]
 [ 0.19896743  0...
[ 2021-05-22 06:54:50,967 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,968 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.06790983  0.10032212 -0.06301858 ...  0.20409326 -0.09105169
   0.21169141]
 [ 0.19896743  0...
[ 2021-05-22 06:54:50,968 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,968 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_14
[ 2021-05-22 06:54:50,968 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,968 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,969 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.06790983  0.10032212 -0.06301858 ...  0.20409326 -0.09105169
   0.21169141]
 [ 0.19896743  0...
[ 2021-05-22 06:54:50,969 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,970 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.06790983  0.10032212 -0.06301858 ...  0.20409326 -0.09105169
   0.21169141]
 [ 0.19896743  0...
[ 2021-05-22 06:54:50,970 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,970 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_164
[ 2021-05-22 06:54:50,970 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,970 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,970 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,971 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.10940661  0.24753408  0.17681065 ...  0.0336212   0.32732722
   0.17799914]
 [ 0.04618095 -0...
[ 2021-05-22 06:54:50,971 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,971 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_164
[ 2021-05-22 06:54:50,971 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,971 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,972 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.10940661  0.24753408  0.17681065 ...  0.0336212   0.32732722
   0.17799914]
 [ 0.04618095 -0...
[ 2021-05-22 06:54:50,972 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,973 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.10940661  0.24753408  0.17681065 ...  0.0336212   0.32732722
   0.17799914]
 [ 0.04618095 -0...
[ 2021-05-22 06:54:50,973 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,973 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_13
[ 2021-05-22 06:54:50,973 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,973 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,974 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.10940661  0.24753408  0.17681065 ...  0.0336212   0.32732722
   0.17799914]
 [ 0.04618095 -0...
[ 2021-05-22 06:54:50,974 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,975 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.10940661  0.24753408  0.17681065 ...  0.0336212   0.32732722
   0.17799914]
 [ 0.04618095 -0...
[ 2021-05-22 06:54:50,975 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,975 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_163
[ 2021-05-22 06:54:50,975 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,975 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,976 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,976 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.03839621  0.12943143  0.17405748 ... -0.05072608 -0.05728046
  -0.09409741]
 [ 0.23728512  0...
[ 2021-05-22 06:54:50,976 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,977 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_163
[ 2021-05-22 06:54:50,977 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,977 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,978 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.03839621  0.12943143  0.17405748 ... -0.05072608 -0.05728046
  -0.09409741]
 [ 0.23728512  0...
[ 2021-05-22 06:54:50,978 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,979 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.03839621  0.12943143  0.17405748 ... -0.05072608 -0.05728046
  -0.09409741]
 [ 0.23728512  0...
[ 2021-05-22 06:54:50,979 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,979 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_12
[ 2021-05-22 06:54:50,979 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,979 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,980 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.03839621  0.12943143  0.17405748 ... -0.05072608 -0.05728046
  -0.09409741]
 [ 0.23728512  0...
[ 2021-05-22 06:54:50,980 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,981 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.03839621  0.12943143  0.17405748 ... -0.05072608 -0.05728046
  -0.09409741]
 [ 0.23728512  0...
[ 2021-05-22 06:54:50,981 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,981 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_162
[ 2021-05-22 06:54:50,981 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,981 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,981 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,982 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.05472874 -0.13025908  0.04909765 ... -0.09948985  0.03799099
  -0.0366053 ]
 [ 0.00287148 -0...
[ 2021-05-22 06:54:50,982 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,982 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_162
[ 2021-05-22 06:54:50,982 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,982 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,983 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.05472874 -0.13025908  0.04909765 ... -0.09948985  0.03799099
  -0.0366053 ]
 [ 0.00287148 -0...
[ 2021-05-22 06:54:50,983 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,984 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.05472874 -0.13025908  0.04909765 ... -0.09948985  0.03799099
  -0.0366053 ]
 [ 0.00287148 -0...
[ 2021-05-22 06:54:50,984 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,984 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_11
[ 2021-05-22 06:54:50,984 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,985 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,985 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.05472874 -0.13025908  0.04909765 ... -0.09948985  0.03799099
  -0.0366053 ]
 [ 0.00287148 -0...
[ 2021-05-22 06:54:50,986 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,986 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.05472874 -0.13025908  0.04909765 ... -0.09948985  0.03799099
  -0.0366053 ]
 [ 0.00287148 -0...
[ 2021-05-22 06:54:50,986 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,987 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_161
[ 2021-05-22 06:54:50,987 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,987 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,987 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,987 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-3.18002664e-02  9.87095311e-02 -2.64809411e-02 ... -7.52490088e-02
  -4.22268249e-02 -6.283173...
[ 2021-05-22 06:54:50,988 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,988 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_161
[ 2021-05-22 06:54:50,988 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,988 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,988 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-3.18002664e-02  9.87095311e-02 -2.64809411e-02 ... -7.52490088e-02
  -4.22268249e-02 -6.283173...
[ 2021-05-22 06:54:50,989 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,989 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-3.18002664e-02  9.87095311e-02 -2.64809411e-02 ... -7.52490088e-02
  -4.22268249e-02 -6.283173...
[ 2021-05-22 06:54:50,990 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,990 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_10
[ 2021-05-22 06:54:50,990 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,990 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,990 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-3.18002664e-02  9.87095311e-02 -2.64809411e-02 ... -7.52490088e-02
  -4.22268249e-02 -6.283173...
[ 2021-05-22 06:54:50,991 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,991 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-3.18002664e-02  9.87095311e-02 -2.64809411e-02 ... -7.52490088e-02
  -4.22268249e-02 -6.283173...
[ 2021-05-22 06:54:50,992 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,992 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_160
[ 2021-05-22 06:54:50,992 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,992 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,992 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,993 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.19326828 -0.02945984  0.03764607 ...  0.18614247 -0.22656654
   0.02842315]
 [ 0.16131042  0...
[ 2021-05-22 06:54:50,993 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,993 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_160
[ 2021-05-22 06:54:50,993 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,993 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,994 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.19326828 -0.02945984  0.03764607 ...  0.18614247 -0.22656654
   0.02842315]
 [ 0.16131042  0...
[ 2021-05-22 06:54:50,994 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,995 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.19326828 -0.02945984  0.03764607 ...  0.18614247 -0.22656654
   0.02842315]
 [ 0.16131042  0...
[ 2021-05-22 06:54:50,995 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,995 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_9
[ 2021-05-22 06:54:50,995 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,995 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,996 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.19326828 -0.02945984  0.03764607 ...  0.18614247 -0.22656654
   0.02842315]
 [ 0.16131042  0...
[ 2021-05-22 06:54:50,996 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,997 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.19326828 -0.02945984  0.03764607 ...  0.18614247 -0.22656654
   0.02842315]
 [ 0.16131042  0...
[ 2021-05-22 06:54:50,997 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,997 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_159
[ 2021-05-22 06:54:50,997 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:50,997 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,997 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:50,998 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.08436884  0.2120674   0.12587315 ...  0.25478628  0.17789333
  -0.28610995]
 [ 0.30987856  0...
[ 2021-05-22 06:54:50,998 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:50,998 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_159
[ 2021-05-22 06:54:50,998 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:50,998 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:50,999 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.08436884  0.2120674   0.12587315 ...  0.25478628  0.17789333
  -0.28610995]
 [ 0.30987856  0...
[ 2021-05-22 06:54:50,999 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,000 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.08436884  0.2120674   0.12587315 ...  0.25478628  0.17789333
  -0.28610995]
 [ 0.30987856  0...
[ 2021-05-22 06:54:51,000 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,000 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_8
[ 2021-05-22 06:54:51,000 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,000 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,001 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.08436884  0.2120674   0.12587315 ...  0.25478628  0.17789333
  -0.28610995]
 [ 0.30987856  0...
[ 2021-05-22 06:54:51,001 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,002 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.08436884  0.2120674   0.12587315 ...  0.25478628  0.17789333
  -0.28610995]
 [ 0.30987856  0...
[ 2021-05-22 06:54:51,002 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,002 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_158
[ 2021-05-22 06:54:51,002 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,002 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,003 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,003 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.04046668 -0.14184114 -0.15292756 ... -0.07536712 -0.05426676
   0.02789105]
 [-0.09802849  0...
[ 2021-05-22 06:54:51,003 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,003 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_158
[ 2021-05-22 06:54:51,004 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,004 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,004 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.04046668 -0.14184114 -0.15292756 ... -0.07536712 -0.05426676
   0.02789105]
 [-0.09802849  0...
[ 2021-05-22 06:54:51,005 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,005 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.04046668 -0.14184114 -0.15292756 ... -0.07536712 -0.05426676
   0.02789105]
 [-0.09802849  0...
[ 2021-05-22 06:54:51,005 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,005 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_7
[ 2021-05-22 06:54:51,006 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,006 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,006 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.04046668 -0.14184114 -0.15292756 ... -0.07536712 -0.05426676
   0.02789105]
 [-0.09802849  0...
[ 2021-05-22 06:54:51,007 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,007 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.04046668 -0.14184114 -0.15292756 ... -0.07536712 -0.05426676
   0.02789105]
 [-0.09802849  0...
[ 2021-05-22 06:54:51,007 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,008 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_157
[ 2021-05-22 06:54:51,008 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,008 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,008 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,009 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.09672852  0.02882147 -0.24019866 ... -0.07965346  0.0360381
   0.04835384]
 [ 0.03930328  0....
[ 2021-05-22 06:54:51,009 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,009 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_157
[ 2021-05-22 06:54:51,009 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,009 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,010 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.09672852  0.02882147 -0.24019866 ... -0.07965346  0.0360381
   0.04835384]
 [ 0.03930328  0....
[ 2021-05-22 06:54:51,010 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,011 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.09672852  0.02882147 -0.24019866 ... -0.07965346  0.0360381
   0.04835384]
 [ 0.03930328  0....
[ 2021-05-22 06:54:51,011 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,011 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_6
[ 2021-05-22 06:54:51,011 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,011 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,012 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.09672852  0.02882147 -0.24019866 ... -0.07965346  0.0360381
   0.04835384]
 [ 0.03930328  0....
[ 2021-05-22 06:54:51,013 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,013 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.09672852  0.02882147 -0.24019866 ... -0.07965346  0.0360381
   0.04835384]
 [ 0.03930328  0....
[ 2021-05-22 06:54:51,014 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,014 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_156
[ 2021-05-22 06:54:51,014 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,014 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,014 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,014 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.17288914 -0.01484898  0.11958683 ...  0.27738038 -0.02043934
   0.08224589]
 [-0.04001225  0...
[ 2021-05-22 06:54:51,015 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,015 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_156
[ 2021-05-22 06:54:51,015 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,015 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,015 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.17288914 -0.01484898  0.11958683 ...  0.27738038 -0.02043934
   0.08224589]
 [-0.04001225  0...
[ 2021-05-22 06:54:51,016 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,017 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.17288914 -0.01484898  0.11958683 ...  0.27738038 -0.02043934
   0.08224589]
 [-0.04001225  0...
[ 2021-05-22 06:54:51,017 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,017 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_5
[ 2021-05-22 06:54:51,017 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,017 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,018 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.17288914 -0.01484898  0.11958683 ...  0.27738038 -0.02043934
   0.08224589]
 [-0.04001225  0...
[ 2021-05-22 06:54:51,019 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,019 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.17288914 -0.01484898  0.11958683 ...  0.27738038 -0.02043934
   0.08224589]
 [-0.04001225  0...
[ 2021-05-22 06:54:51,019 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,019 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_155
[ 2021-05-22 06:54:51,019 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,020 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,020 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,020 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.09948725 -0.01850674 -0.24078606 ... -0.07170973 -0.12451418
  -0.7655924 ]
 [ 0.05965753 -0...
[ 2021-05-22 06:54:51,021 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,021 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_155
[ 2021-05-22 06:54:51,021 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,021 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,021 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.09948725 -0.01850674 -0.24078606 ... -0.07170973 -0.12451418
  -0.7655924 ]
 [ 0.05965753 -0...
[ 2021-05-22 06:54:51,022 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,023 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.09948725 -0.01850674 -0.24078606 ... -0.07170973 -0.12451418
  -0.7655924 ]
 [ 0.05965753 -0...
[ 2021-05-22 06:54:51,023 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,023 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_4
[ 2021-05-22 06:54:51,023 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,023 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,024 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.09948725 -0.01850674 -0.24078606 ... -0.07170973 -0.12451418
  -0.7655924 ]
 [ 0.05965753 -0...
[ 2021-05-22 06:54:51,024 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,025 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.09948725 -0.01850674 -0.24078606 ... -0.07170973 -0.12451418
  -0.7655924 ]
 [ 0.05965753 -0...
[ 2021-05-22 06:54:51,025 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,025 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_154
[ 2021-05-22 06:54:51,025 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,025 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,026 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,026 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.09360988 -0.05833976 -0.01991631 ... -0.00678073 -0.03665444
   0.06904057]
 [-0.16823532 -0...
[ 2021-05-22 06:54:51,026 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,027 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_154
[ 2021-05-22 06:54:51,027 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,027 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,027 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.09360988 -0.05833976 -0.01991631 ... -0.00678073 -0.03665444
   0.06904057]
 [-0.16823532 -0...
[ 2021-05-22 06:54:51,028 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,028 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.09360988 -0.05833976 -0.01991631 ... -0.00678073 -0.03665444
   0.06904057]
 [-0.16823532 -0...
[ 2021-05-22 06:54:51,028 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,029 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_3
[ 2021-05-22 06:54:51,029 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,029 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,029 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.09360988 -0.05833976 -0.01991631 ... -0.00678073 -0.03665444
   0.06904057]
 [-0.16823532 -0...
[ 2021-05-22 06:54:51,030 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,030 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.09360988 -0.05833976 -0.01991631 ... -0.00678073 -0.03665444
   0.06904057]
 [-0.16823532 -0...
[ 2021-05-22 06:54:51,031 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,031 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_153
[ 2021-05-22 06:54:51,031 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,031 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,031 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,031 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.1463075  -0.05042782 -0.07865106 ... -0.11616295 -0.09231554
  -0.11437409]
 [ 0.05834754 -0...
[ 2021-05-22 06:54:51,032 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,032 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_153
[ 2021-05-22 06:54:51,032 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,032 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,032 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.1463075  -0.05042782 -0.07865106 ... -0.11616295 -0.09231554
  -0.11437409]
 [ 0.05834754 -0...
[ 2021-05-22 06:54:51,033 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,033 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.1463075  -0.05042782 -0.07865106 ... -0.11616295 -0.09231554
  -0.11437409]
 [ 0.05834754 -0...
[ 2021-05-22 06:54:51,034 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,034 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_2
[ 2021-05-22 06:54:51,034 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,034 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,034 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.1463075  -0.05042782 -0.07865106 ... -0.11616295 -0.09231554
  -0.11437409]
 [ 0.05834754 -0...
[ 2021-05-22 06:54:51,035 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,036 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.1463075  -0.05042782 -0.07865106 ... -0.11616295 -0.09231554
  -0.11437409]
 [ 0.05834754 -0...
[ 2021-05-22 06:54:51,036 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,036 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_152
[ 2021-05-22 06:54:51,036 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,036 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,036 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,037 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 1.10344142e-02  1.11590087e-01  1.79035105e-02 ...  1.25842735e-01
   6.48674667e-02  1.625607...
[ 2021-05-22 06:54:51,037 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,037 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_152
[ 2021-05-22 06:54:51,037 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,037 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,038 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 1.10344142e-02  1.11590087e-01  1.79035105e-02 ...  1.25842735e-01
   6.48674667e-02  1.625607...
[ 2021-05-22 06:54:51,038 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,039 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 1.10344142e-02  1.11590087e-01  1.79035105e-02 ...  1.25842735e-01
   6.48674667e-02  1.625607...
[ 2021-05-22 06:54:51,039 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,039 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp_1
[ 2021-05-22 06:54:51,039 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,039 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,040 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 1.10344142e-02  1.11590087e-01  1.79035105e-02 ...  1.25842735e-01
   6.48674667e-02  1.625607...
[ 2021-05-22 06:54:51,040 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,041 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 1.10344142e-02  1.11590087e-01  1.79035105e-02 ...  1.25842735e-01
   6.48674667e-02  1.625607...
[ 2021-05-22 06:54:51,041 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,041 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_151
[ 2021-05-22 06:54:51,041 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,041 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,041 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,042 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.05458881  0.00330031  0.030525   ...  0.05082027  0.0276585
  -0.08120678]
 [ 0.07751217  0....
[ 2021-05-22 06:54:51,042 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,042 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_151
[ 2021-05-22 06:54:51,042 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,042 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,043 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.05458881  0.00330031  0.030525   ...  0.05082027  0.0276585
  -0.08120678]
 [ 0.07751217  0....
[ 2021-05-22 06:54:51,043 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,044 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.05458881  0.00330031  0.030525   ...  0.05082027  0.0276585
  -0.08120678]
 [ 0.07751217  0....
[ 2021-05-22 06:54:51,044 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,044 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat/ReadVariableOp
[ 2021-05-22 06:54:51,044 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,044 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,045 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.05458881  0.00330031  0.030525   ...  0.05082027  0.0276585
  -0.08120678]
 [ 0.07751217  0....
[ 2021-05-22 06:54:51,046 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,046 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.05458881  0.00330031  0.030525   ...  0.05082027  0.0276585
  -0.08120678]
 [ 0.07751217  0....
[ 2021-05-22 06:54:51,046 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,046 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/ConcatPartitions/concat
[ 2021-05-22 06:54:51,046 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2021-05-22 06:54:51,046 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,047 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.05458881  0.00330031  0.030525   ...  0.05082027  0.0276585
  -0.08120678]
 [ 0.07751217  0....
[ 2021-05-22 06:54:51,048 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 11 512], value = [[ 1.10344142e-02  1.11590087e-01  1.79035105e-02 ...  1.25842735e-01
   6.48674667e-02  1.625607...
[ 2021-05-22 06:54:51,048 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [ 11 512], value = [[-0.1463075  -0.05042782 -0.07865106 ... -0.11616295 -0.09231554
  -0.11437409]
 [ 0.05834754 -0...
[ 2021-05-22 06:54:51,049 ] [ DEBUG ] [ infer:32 ]  input[3]: shape = [ 11 512], value = [[ 0.09360988 -0.05833976 -0.01991631 ... -0.00678073 -0.03665444
   0.06904057]
 [-0.16823532 -0...
[ 2021-05-22 06:54:51,050 ] [ DEBUG ] [ infer:32 ]  input[4]: shape = [ 11 512], value = [[-0.09948725 -0.01850674 -0.24078606 ... -0.07170973 -0.12451418
  -0.7655924 ]
 [ 0.05965753 -0...
[ 2021-05-22 06:54:51,050 ] [ DEBUG ] [ infer:32 ]  input[5]: shape = [ 11 512], value = [[-0.17288914 -0.01484898  0.11958683 ...  0.27738038 -0.02043934
   0.08224589]
 [-0.04001225  0...
[ 2021-05-22 06:54:51,051 ] [ DEBUG ] [ infer:32 ]  input[6]: shape = [ 11 512], value = [[ 0.09672852  0.02882147 -0.24019866 ... -0.07965346  0.0360381
   0.04835384]
 [ 0.03930328  0....
[ 2021-05-22 06:54:51,051 ] [ DEBUG ] [ infer:32 ]  input[7]: shape = [ 11 512], value = [[-0.04046668 -0.14184114 -0.15292756 ... -0.07536712 -0.05426676
   0.02789105]
 [-0.09802849  0...
[ 2021-05-22 06:54:51,052 ] [ DEBUG ] [ infer:32 ]  input[8]: shape = [ 11 512], value = [[ 0.08436884  0.2120674   0.12587315 ...  0.25478628  0.17789333
  -0.28610995]
 [ 0.30987856  0...
[ 2021-05-22 06:54:51,053 ] [ DEBUG ] [ infer:32 ]  input[9]: shape = [ 11 512], value = [[ 0.19326828 -0.02945984  0.03764607 ...  0.18614247 -0.22656654
   0.02842315]
 [ 0.16131042  0...
[ 2021-05-22 06:54:51,053 ] [ DEBUG ] [ infer:32 ]  input[10]: shape = [ 11 512], value = [[-3.18002664e-02  9.87095311e-02 -2.64809411e-02 ... -7.52490088e-02
  -4.22268249e-02 -6.283173...
[ 2021-05-22 06:54:51,054 ] [ DEBUG ] [ infer:32 ]  input[11]: shape = [ 11 512], value = [[ 0.05472874 -0.13025908  0.04909765 ... -0.09948985  0.03799099
  -0.0366053 ]
 [ 0.00287148 -0...
[ 2021-05-22 06:54:51,055 ] [ DEBUG ] [ infer:32 ]  input[12]: shape = [ 11 512], value = [[ 0.03839621  0.12943143  0.17405748 ... -0.05072608 -0.05728046
  -0.09409741]
 [ 0.23728512  0...
[ 2021-05-22 06:54:51,055 ] [ DEBUG ] [ infer:32 ]  input[13]: shape = [ 11 512], value = [[ 0.10940661  0.24753408  0.17681065 ...  0.0336212   0.32732722
   0.17799914]
 [ 0.04618095 -0...
[ 2021-05-22 06:54:51,056 ] [ DEBUG ] [ infer:32 ]  input[14]: shape = [ 11 512], value = [[-0.06790983  0.10032212 -0.06301858 ...  0.20409326 -0.09105169
   0.21169141]
 [ 0.19896743  0...
[ 2021-05-22 06:54:51,056 ] [ DEBUG ] [ infer:32 ]  input[15]: shape = [ 11 512], value = [[-0.01894179  0.02687731  0.14385954 ...  0.5025499  -0.11388813
  -0.21903104]
 [-0.08365308  0...
[ 2021-05-22 06:54:51,057 ] [ DEBUG ] [ infer:32 ]  input[16]: shape = [ 11 512], value = [[ 0.03932004  0.21401067 -0.13068247 ...  0.06992402  0.01855155
   0.00927827]
 [-0.04133309 -0...
[ 2021-05-22 06:54:51,057 ] [ DEBUG ] [ infer:32 ]  input[17]: shape = [ 11 512], value = [[-0.10370122 -0.14840586  0.03120127 ...  0.0045823   0.08820543
  -0.09093887]
 [ 0.10003082 -0...
[ 2021-05-22 06:54:51,058 ] [ DEBUG ] [ infer:32 ]  input[18]: shape = [ 11 512], value = [[ 0.0976954   0.05696044  0.0937017  ...  0.16453785 -0.15920527
   0.17072308]
 [-0.21069205  0...
[ 2021-05-22 06:54:51,059 ] [ DEBUG ] [ infer:32 ]  input[19]: shape = [ 11 512], value = [[ 0.07652135 -0.09949188 -0.1043852  ...  0.06919847 -0.08307455
  -0.14318722]
 [-0.00112605  0...
[ 2021-05-22 06:54:51,059 ] [ DEBUG ] [ infer:32 ]  input[20]: shape = [ 10 512], value = [[-0.08254661 -0.09988307 -0.11989974 ... -0.13378102 -0.04713519
   0.11090656]
 [-0.06433187  0...
[ 2021-05-22 06:54:51,060 ] [ DEBUG ] [ infer:32 ]  input[21]: shape = [ 10 512], value = [[-0.19492838  0.0797862   0.23118877 ...  0.01758077 -0.19197112
   0.21560025]
 [ 0.21572661 -0...
[ 2021-05-22 06:54:51,060 ] [ DEBUG ] [ infer:32 ]  input[22]: shape = [ 10 512], value = [[-0.15305503 -0.08500508  0.08521025 ...  0.1082183   0.2862894
  -0.26546088]
 [ 0.12340251 -0....
[ 2021-05-22 06:54:51,061 ] [ DEBUG ] [ infer:32 ]  input[23]: shape = [ 10 512], value = [[ 0.07891668 -0.13877505 -0.10906257 ... -0.09160855 -0.163668
   0.02227899]
 [-0.00901792  0.1...
[ 2021-05-22 06:54:51,062 ] [ DEBUG ] [ infer:32 ]  input[24]: shape = [ 10 512], value = [[-0.05959193 -0.04037628 -0.05845106 ...  0.12701263  0.13694422
   0.20288725]
 [-0.04205358  0...
[ 2021-05-22 06:54:51,062 ] [ DEBUG ] [ infer:32 ]  input[25]: shape = [ 10 512], value = [[-0.16742264  0.06086693 -0.24894111 ...  0.07629877  0.56498504
  -0.01507246]
 [ 0.11435985 -0...
[ 2021-05-22 06:54:51,063 ] [ DEBUG ] [ infer:32 ]  input[26]: shape = [ 10 512], value = [[-9.8184779e-02 -1.8381909e-02 -6.1043397e-02 ...  2.4402789e-03
   2.9751059e-04 -3.1627074e-02...
[ 2021-05-22 06:54:51,063 ] [ DEBUG ] [ infer:32 ]  input[27]: shape = [ 10 512], value = [[ 0.07273147 -0.07769843 -0.3524449  ...  0.17510864  0.12913279
   0.001104  ]
 [-0.3718297  -0...
[ 2021-05-22 06:54:51,064 ] [ DEBUG ] [ infer:32 ]  input[28]: shape = [ 10 512], value = [[-0.0275327  -0.08507345  0.25096643 ... -0.30117157  0.36141813
  -0.03198001]
 [ 0.34876513  0...
[ 2021-05-22 06:54:51,065 ] [ DEBUG ] [ infer:32 ]  input[29]: shape = [ 10 512], value = [[ 0.11463062 -0.07836656 -0.05575394 ...  0.04569088  0.02571615
   0.14165974]
 [ 0.12933229  0...
[ 2021-05-22 06:54:51,065 ] [ DEBUG ] [ infer:32 ]  input[30]: shape = [], value = 0
[ 2021-05-22 06:54:51,071 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,072 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [320 512], value = [[-0.05458881  0.00330031  0.030525   ...  0.05082027  0.0276585
  -0.08120678]
 [ 0.07751217  0....
[ 2021-05-22 06:54:51,073 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,073 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel
[ 2021-05-22 06:54:51,073 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,073 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,073 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [320 512], value = [[-0.05458881  0.00330031  0.030525   ...  0.05082027  0.0276585
  -0.08120678]
 [ 0.07751217  0....
[ 2021-05-22 06:54:51,074 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,074 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [320 512], value = [[-0.05458881  0.00330031  0.030525   ...  0.05082027  0.0276585
  -0.08120678]
 [ 0.07751217  0....
[ 2021-05-22 06:54:51,075 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,075 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/axis
[ 2021-05-22 06:54:51,075 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,075 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,075 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,075 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,075 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,075 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_150
[ 2021-05-22 06:54:51,075 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,075 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,075 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,076 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.10103903  0.16982976  0.00360349 ...  0.07488769  0.02648612
   0.12076237]
 [-0.03735086  0...
[ 2021-05-22 06:54:51,076 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,076 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_150
[ 2021-05-22 06:54:51,076 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,076 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,077 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.10103903  0.16982976  0.00360349 ...  0.07488769  0.02648612
   0.12076237]
 [-0.03735086  0...
[ 2021-05-22 06:54:51,078 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,078 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.10103903  0.16982976  0.00360349 ...  0.07488769  0.02648612
   0.12076237]
 [-0.03735086  0...
[ 2021-05-22 06:54:51,078 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,078 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_29
[ 2021-05-22 06:54:51,078 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,078 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,079 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.10103903  0.16982976  0.00360349 ...  0.07488769  0.02648612
   0.12076237]
 [-0.03735086  0...
[ 2021-05-22 06:54:51,079 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,080 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.10103903  0.16982976  0.00360349 ...  0.07488769  0.02648612
   0.12076237]
 [-0.03735086  0...
[ 2021-05-22 06:54:51,080 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,080 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_149
[ 2021-05-22 06:54:51,080 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,080 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,081 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,081 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.00134301  0.02214236 -0.05522754 ... -0.04253931  0.12527025
  -0.01859526]
 [ 0.05350808  0...
[ 2021-05-22 06:54:51,081 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,081 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_149
[ 2021-05-22 06:54:51,081 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,082 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,082 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.00134301  0.02214236 -0.05522754 ... -0.04253931  0.12527025
  -0.01859526]
 [ 0.05350808  0...
[ 2021-05-22 06:54:51,083 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,083 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.00134301  0.02214236 -0.05522754 ... -0.04253931  0.12527025
  -0.01859526]
 [ 0.05350808  0...
[ 2021-05-22 06:54:51,084 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,084 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_28
[ 2021-05-22 06:54:51,084 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,084 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,084 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.00134301  0.02214236 -0.05522754 ... -0.04253931  0.12527025
  -0.01859526]
 [ 0.05350808  0...
[ 2021-05-22 06:54:51,085 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,086 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.00134301  0.02214236 -0.05522754 ... -0.04253931  0.12527025
  -0.01859526]
 [ 0.05350808  0...
[ 2021-05-22 06:54:51,086 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,086 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_148
[ 2021-05-22 06:54:51,086 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,086 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,087 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,087 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.04305092  0.17866193 -0.06650559 ...  0.10004404  0.00079835
   0.00578563]
 [ 0.05215374 -0...
[ 2021-05-22 06:54:51,088 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,088 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_148
[ 2021-05-22 06:54:51,088 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,088 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,088 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.04305092  0.17866193 -0.06650559 ...  0.10004404  0.00079835
   0.00578563]
 [ 0.05215374 -0...
[ 2021-05-22 06:54:51,089 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,090 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.04305092  0.17866193 -0.06650559 ...  0.10004404  0.00079835
   0.00578563]
 [ 0.05215374 -0...
[ 2021-05-22 06:54:51,090 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,090 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_27
[ 2021-05-22 06:54:51,090 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,090 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,091 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.04305092  0.17866193 -0.06650559 ...  0.10004404  0.00079835
   0.00578563]
 [ 0.05215374 -0...
[ 2021-05-22 06:54:51,091 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,092 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.04305092  0.17866193 -0.06650559 ...  0.10004404  0.00079835
   0.00578563]
 [ 0.05215374 -0...
[ 2021-05-22 06:54:51,092 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,092 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_147
[ 2021-05-22 06:54:51,092 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,092 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,092 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,093 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.01254215  0.06225101 -0.0402285  ...  0.06641583 -0.0093022
  -0.01479496]
 [ 0.07300709  0....
[ 2021-05-22 06:54:51,093 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,093 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_147
[ 2021-05-22 06:54:51,093 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,093 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,094 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.01254215  0.06225101 -0.0402285  ...  0.06641583 -0.0093022
  -0.01479496]
 [ 0.07300709  0....
[ 2021-05-22 06:54:51,094 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,095 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.01254215  0.06225101 -0.0402285  ...  0.06641583 -0.0093022
  -0.01479496]
 [ 0.07300709  0....
[ 2021-05-22 06:54:51,095 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,095 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_26
[ 2021-05-22 06:54:51,095 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,095 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,096 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.01254215  0.06225101 -0.0402285  ...  0.06641583 -0.0093022
  -0.01479496]
 [ 0.07300709  0....
[ 2021-05-22 06:54:51,096 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,097 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.01254215  0.06225101 -0.0402285  ...  0.06641583 -0.0093022
  -0.01479496]
 [ 0.07300709  0....
[ 2021-05-22 06:54:51,097 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,097 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_146
[ 2021-05-22 06:54:51,097 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,097 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,097 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,098 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.00576988  0.0535586   0.01237635 ...  0.04064752  0.04577291
   0.04572712]
 [ 0.02432746  0...
[ 2021-05-22 06:54:51,098 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,098 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_146
[ 2021-05-22 06:54:51,098 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,098 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,099 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.00576988  0.0535586   0.01237635 ...  0.04064752  0.04577291
   0.04572712]
 [ 0.02432746  0...
[ 2021-05-22 06:54:51,099 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,100 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.00576988  0.0535586   0.01237635 ...  0.04064752  0.04577291
   0.04572712]
 [ 0.02432746  0...
[ 2021-05-22 06:54:51,100 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,100 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_25
[ 2021-05-22 06:54:51,100 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,100 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,101 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.00576988  0.0535586   0.01237635 ...  0.04064752  0.04577291
   0.04572712]
 [ 0.02432746  0...
[ 2021-05-22 06:54:51,101 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,102 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.00576988  0.0535586   0.01237635 ...  0.04064752  0.04577291
   0.04572712]
 [ 0.02432746  0...
[ 2021-05-22 06:54:51,102 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,102 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_145
[ 2021-05-22 06:54:51,102 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,102 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,103 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,103 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.13224429  0.10314228  0.24279001 ...  0.02456589 -0.4747963
   0.08288221]
 [-0.00066298  0....
[ 2021-05-22 06:54:51,103 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,103 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_145
[ 2021-05-22 06:54:51,103 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,103 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,104 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.13224429  0.10314228  0.24279001 ...  0.02456589 -0.4747963
   0.08288221]
 [-0.00066298  0....
[ 2021-05-22 06:54:51,104 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,105 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.13224429  0.10314228  0.24279001 ...  0.02456589 -0.4747963
   0.08288221]
 [-0.00066298  0....
[ 2021-05-22 06:54:51,105 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,105 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_24
[ 2021-05-22 06:54:51,105 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,105 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,106 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.13224429  0.10314228  0.24279001 ...  0.02456589 -0.4747963
   0.08288221]
 [-0.00066298  0....
[ 2021-05-22 06:54:51,106 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,107 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.13224429  0.10314228  0.24279001 ...  0.02456589 -0.4747963
   0.08288221]
 [-0.00066298  0....
[ 2021-05-22 06:54:51,107 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,107 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_144
[ 2021-05-22 06:54:51,107 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,107 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,108 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,108 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.01914234 -0.02206287  0.03013785 ...  0.05339848 -0.05560419
  -0.09280869]
 [-0.01379638  0...
[ 2021-05-22 06:54:51,108 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,108 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_144
[ 2021-05-22 06:54:51,109 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,109 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,109 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.01914234 -0.02206287  0.03013785 ...  0.05339848 -0.05560419
  -0.09280869]
 [-0.01379638  0...
[ 2021-05-22 06:54:51,110 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,110 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.01914234 -0.02206287  0.03013785 ...  0.05339848 -0.05560419
  -0.09280869]
 [-0.01379638  0...
[ 2021-05-22 06:54:51,110 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,111 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_23
[ 2021-05-22 06:54:51,111 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,111 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,111 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.01914234 -0.02206287  0.03013785 ...  0.05339848 -0.05560419
  -0.09280869]
 [-0.01379638  0...
[ 2021-05-22 06:54:51,112 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,112 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.01914234 -0.02206287  0.03013785 ...  0.05339848 -0.05560419
  -0.09280869]
 [-0.01379638  0...
[ 2021-05-22 06:54:51,112 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,112 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_143
[ 2021-05-22 06:54:51,112 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,113 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,113 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,113 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.00120361  0.13023841 -0.02561259 ...  0.02783036 -0.05065458
   0.14338605]
 [ 0.02172161  0...
[ 2021-05-22 06:54:51,114 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,114 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_143
[ 2021-05-22 06:54:51,114 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,114 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,114 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.00120361  0.13023841 -0.02561259 ...  0.02783036 -0.05065458
   0.14338605]
 [ 0.02172161  0...
[ 2021-05-22 06:54:51,115 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,115 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.00120361  0.13023841 -0.02561259 ...  0.02783036 -0.05065458
   0.14338605]
 [ 0.02172161  0...
[ 2021-05-22 06:54:51,115 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,116 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_22
[ 2021-05-22 06:54:51,116 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,116 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,116 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.00120361  0.13023841 -0.02561259 ...  0.02783036 -0.05065458
   0.14338605]
 [ 0.02172161  0...
[ 2021-05-22 06:54:51,117 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,117 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.00120361  0.13023841 -0.02561259 ...  0.02783036 -0.05065458
   0.14338605]
 [ 0.02172161  0...
[ 2021-05-22 06:54:51,118 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,118 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_142
[ 2021-05-22 06:54:51,118 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,118 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,118 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,118 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.24231642  0.07599854  0.06840508 ...  0.65699446  0.01513332
  -0.24429436]
 [ 0.00249934  0...
[ 2021-05-22 06:54:51,119 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,119 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_142
[ 2021-05-22 06:54:51,119 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,119 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,120 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.24231642  0.07599854  0.06840508 ...  0.65699446  0.01513332
  -0.24429436]
 [ 0.00249934  0...
[ 2021-05-22 06:54:51,120 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,121 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.24231642  0.07599854  0.06840508 ...  0.65699446  0.01513332
  -0.24429436]
 [ 0.00249934  0...
[ 2021-05-22 06:54:51,121 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,121 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_21
[ 2021-05-22 06:54:51,121 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,121 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,121 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.24231642  0.07599854  0.06840508 ...  0.65699446  0.01513332
  -0.24429436]
 [ 0.00249934  0...
[ 2021-05-22 06:54:51,122 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,123 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.24231642  0.07599854  0.06840508 ...  0.65699446  0.01513332
  -0.24429436]
 [ 0.00249934  0...
[ 2021-05-22 06:54:51,123 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,123 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_141
[ 2021-05-22 06:54:51,123 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,123 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,123 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,124 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-6.0529970e-02 -1.9538486e-02  1.6165014e-01 ... -2.0150776e-01
   1.0444909e-01 -1.0538929e-01...
[ 2021-05-22 06:54:51,124 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,124 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_141
[ 2021-05-22 06:54:51,124 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,124 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,125 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-6.0529970e-02 -1.9538486e-02  1.6165014e-01 ... -2.0150776e-01
   1.0444909e-01 -1.0538929e-01...
[ 2021-05-22 06:54:51,125 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,126 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-6.0529970e-02 -1.9538486e-02  1.6165014e-01 ... -2.0150776e-01
   1.0444909e-01 -1.0538929e-01...
[ 2021-05-22 06:54:51,126 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,126 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_20
[ 2021-05-22 06:54:51,126 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,126 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,127 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-6.0529970e-02 -1.9538486e-02  1.6165014e-01 ... -2.0150776e-01
   1.0444909e-01 -1.0538929e-01...
[ 2021-05-22 06:54:51,127 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,128 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-6.0529970e-02 -1.9538486e-02  1.6165014e-01 ... -2.0150776e-01
   1.0444909e-01 -1.0538929e-01...
[ 2021-05-22 06:54:51,128 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,128 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_140
[ 2021-05-22 06:54:51,128 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,128 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,128 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,129 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.11056483  0.05415059 -0.0517869  ...  0.13429824 -0.03764309
   0.17755723]
 [-0.21643092  0...
[ 2021-05-22 06:54:51,129 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,129 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_140
[ 2021-05-22 06:54:51,129 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,129 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,130 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.11056483  0.05415059 -0.0517869  ...  0.13429824 -0.03764309
   0.17755723]
 [-0.21643092  0...
[ 2021-05-22 06:54:51,130 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,131 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.11056483  0.05415059 -0.0517869  ...  0.13429824 -0.03764309
   0.17755723]
 [-0.21643092  0...
[ 2021-05-22 06:54:51,132 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,132 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_19
[ 2021-05-22 06:54:51,132 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,132 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,132 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.11056483  0.05415059 -0.0517869  ...  0.13429824 -0.03764309
   0.17755723]
 [-0.21643092  0...
[ 2021-05-22 06:54:51,133 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,134 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.11056483  0.05415059 -0.0517869  ...  0.13429824 -0.03764309
   0.17755723]
 [-0.21643092  0...
[ 2021-05-22 06:54:51,134 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,134 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_139
[ 2021-05-22 06:54:51,134 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,134 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,134 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,135 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.12037657 -0.0099257   0.03143345 ... -0.0422968   0.0026353
  -0.06392046]
 [ 0.13157548  0....
[ 2021-05-22 06:54:51,135 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,135 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_139
[ 2021-05-22 06:54:51,135 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,135 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,136 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.12037657 -0.0099257   0.03143345 ... -0.0422968   0.0026353
  -0.06392046]
 [ 0.13157548  0....
[ 2021-05-22 06:54:51,136 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,137 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.12037657 -0.0099257   0.03143345 ... -0.0422968   0.0026353
  -0.06392046]
 [ 0.13157548  0....
[ 2021-05-22 06:54:51,137 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,137 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_18
[ 2021-05-22 06:54:51,137 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,137 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,138 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.12037657 -0.0099257   0.03143345 ... -0.0422968   0.0026353
  -0.06392046]
 [ 0.13157548  0....
[ 2021-05-22 06:54:51,138 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,139 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.12037657 -0.0099257   0.03143345 ... -0.0422968   0.0026353
  -0.06392046]
 [ 0.13157548  0....
[ 2021-05-22 06:54:51,139 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,139 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_138
[ 2021-05-22 06:54:51,139 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,139 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,139 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,140 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.2739479  -0.09456325  0.00280625 ...  0.135018   -0.05335268
  -0.15761262]
 [-0.05386868 -0...
[ 2021-05-22 06:54:51,140 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,140 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_138
[ 2021-05-22 06:54:51,140 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,140 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,141 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.2739479  -0.09456325  0.00280625 ...  0.135018   -0.05335268
  -0.15761262]
 [-0.05386868 -0...
[ 2021-05-22 06:54:51,142 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,142 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.2739479  -0.09456325  0.00280625 ...  0.135018   -0.05335268
  -0.15761262]
 [-0.05386868 -0...
[ 2021-05-22 06:54:51,142 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,142 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_17
[ 2021-05-22 06:54:51,142 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,143 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,143 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.2739479  -0.09456325  0.00280625 ...  0.135018   -0.05335268
  -0.15761262]
 [-0.05386868 -0...
[ 2021-05-22 06:54:51,144 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,144 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.2739479  -0.09456325  0.00280625 ...  0.135018   -0.05335268
  -0.15761262]
 [-0.05386868 -0...
[ 2021-05-22 06:54:51,144 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,144 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_137
[ 2021-05-22 06:54:51,144 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,145 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,145 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,145 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.12361433 -0.02241973 -0.00523515 ...  0.07793562  0.03374408
   0.09857545]
 [ 0.01546963  0...
[ 2021-05-22 06:54:51,146 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,146 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_137
[ 2021-05-22 06:54:51,146 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,146 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,146 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.12361433 -0.02241973 -0.00523515 ...  0.07793562  0.03374408
   0.09857545]
 [ 0.01546963  0...
[ 2021-05-22 06:54:51,147 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,147 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.12361433 -0.02241973 -0.00523515 ...  0.07793562  0.03374408
   0.09857545]
 [ 0.01546963  0...
[ 2021-05-22 06:54:51,148 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,148 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_16
[ 2021-05-22 06:54:51,148 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,148 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,148 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.12361433 -0.02241973 -0.00523515 ...  0.07793562  0.03374408
   0.09857545]
 [ 0.01546963  0...
[ 2021-05-22 06:54:51,149 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,149 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.12361433 -0.02241973 -0.00523515 ...  0.07793562  0.03374408
   0.09857545]
 [ 0.01546963  0...
[ 2021-05-22 06:54:51,150 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,150 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_136
[ 2021-05-22 06:54:51,150 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,150 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,150 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,151 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 8.2914941e-02 -5.1485337e-02 -5.5223336e-03 ...  6.3598430e-01
   7.4842133e-02 -1.0392529e-01...
[ 2021-05-22 06:54:51,151 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,151 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_136
[ 2021-05-22 06:54:51,151 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,151 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,152 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 8.2914941e-02 -5.1485337e-02 -5.5223336e-03 ...  6.3598430e-01
   7.4842133e-02 -1.0392529e-01...
[ 2021-05-22 06:54:51,152 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,153 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 8.2914941e-02 -5.1485337e-02 -5.5223336e-03 ...  6.3598430e-01
   7.4842133e-02 -1.0392529e-01...
[ 2021-05-22 06:54:51,153 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,153 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_15
[ 2021-05-22 06:54:51,153 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,153 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,154 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 8.2914941e-02 -5.1485337e-02 -5.5223336e-03 ...  6.3598430e-01
   7.4842133e-02 -1.0392529e-01...
[ 2021-05-22 06:54:51,154 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,155 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 8.2914941e-02 -5.1485337e-02 -5.5223336e-03 ...  6.3598430e-01
   7.4842133e-02 -1.0392529e-01...
[ 2021-05-22 06:54:51,155 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,155 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_135
[ 2021-05-22 06:54:51,155 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,155 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,155 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,156 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.02526973  0.11617146  0.2245299  ... -0.05763075  0.00316291
  -0.23666556]
 [-0.00654937  0...
[ 2021-05-22 06:54:51,156 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,156 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_135
[ 2021-05-22 06:54:51,156 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,156 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,157 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.02526973  0.11617146  0.2245299  ... -0.05763075  0.00316291
  -0.23666556]
 [-0.00654937  0...
[ 2021-05-22 06:54:51,157 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,158 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.02526973  0.11617146  0.2245299  ... -0.05763075  0.00316291
  -0.23666556]
 [-0.00654937  0...
[ 2021-05-22 06:54:51,158 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,158 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_14
[ 2021-05-22 06:54:51,158 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,158 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,159 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.02526973  0.11617146  0.2245299  ... -0.05763075  0.00316291
  -0.23666556]
 [-0.00654937  0...
[ 2021-05-22 06:54:51,159 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,160 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.02526973  0.11617146  0.2245299  ... -0.05763075  0.00316291
  -0.23666556]
 [-0.00654937  0...
[ 2021-05-22 06:54:51,160 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,160 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_134
[ 2021-05-22 06:54:51,160 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,160 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,160 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,161 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.04187726 -0.03229716  0.00868138 ...  0.02897343 -0.01017215
  -0.04775807]
 [ 0.07233629 -0...
[ 2021-05-22 06:54:51,161 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,161 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_134
[ 2021-05-22 06:54:51,161 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,161 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,162 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.04187726 -0.03229716  0.00868138 ...  0.02897343 -0.01017215
  -0.04775807]
 [ 0.07233629 -0...
[ 2021-05-22 06:54:51,162 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,163 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.04187726 -0.03229716  0.00868138 ...  0.02897343 -0.01017215
  -0.04775807]
 [ 0.07233629 -0...
[ 2021-05-22 06:54:51,163 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,163 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_13
[ 2021-05-22 06:54:51,163 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,164 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,164 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.04187726 -0.03229716  0.00868138 ...  0.02897343 -0.01017215
  -0.04775807]
 [ 0.07233629 -0...
[ 2021-05-22 06:54:51,165 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,165 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.04187726 -0.03229716  0.00868138 ...  0.02897343 -0.01017215
  -0.04775807]
 [ 0.07233629 -0...
[ 2021-05-22 06:54:51,165 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,165 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_133
[ 2021-05-22 06:54:51,166 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,166 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,166 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,166 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.09764536 -0.03146761 -0.09388663 ... -0.0087761  -0.01267539
  -0.0006567 ]
 [-0.04130502  0...
[ 2021-05-22 06:54:51,167 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,167 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_133
[ 2021-05-22 06:54:51,167 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,167 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,167 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.09764536 -0.03146761 -0.09388663 ... -0.0087761  -0.01267539
  -0.0006567 ]
 [-0.04130502  0...
[ 2021-05-22 06:54:51,168 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,168 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.09764536 -0.03146761 -0.09388663 ... -0.0087761  -0.01267539
  -0.0006567 ]
 [-0.04130502  0...
[ 2021-05-22 06:54:51,169 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,169 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_12
[ 2021-05-22 06:54:51,169 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,169 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,169 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.09764536 -0.03146761 -0.09388663 ... -0.0087761  -0.01267539
  -0.0006567 ]
 [-0.04130502  0...
[ 2021-05-22 06:54:51,170 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,170 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.09764536 -0.03146761 -0.09388663 ... -0.0087761  -0.01267539
  -0.0006567 ]
 [-0.04130502  0...
[ 2021-05-22 06:54:51,171 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,171 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_132
[ 2021-05-22 06:54:51,171 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,171 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,171 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,172 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.00296068 -0.0082256  -0.08117586 ... -0.05045272  0.07617182
   0.04231721]
 [ 0.10198944  0...
[ 2021-05-22 06:54:51,172 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,172 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_132
[ 2021-05-22 06:54:51,172 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,172 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,173 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.00296068 -0.0082256  -0.08117586 ... -0.05045272  0.07617182
   0.04231721]
 [ 0.10198944  0...
[ 2021-05-22 06:54:51,173 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,174 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.00296068 -0.0082256  -0.08117586 ... -0.05045272  0.07617182
   0.04231721]
 [ 0.10198944  0...
[ 2021-05-22 06:54:51,174 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,174 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_11
[ 2021-05-22 06:54:51,174 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,174 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,175 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.00296068 -0.0082256  -0.08117586 ... -0.05045272  0.07617182
   0.04231721]
 [ 0.10198944  0...
[ 2021-05-22 06:54:51,175 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,176 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.00296068 -0.0082256  -0.08117586 ... -0.05045272  0.07617182
   0.04231721]
 [ 0.10198944  0...
[ 2021-05-22 06:54:51,176 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,176 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_131
[ 2021-05-22 06:54:51,176 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,176 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,176 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,177 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.37564757 -0.22444688  0.00158491 ... -0.0086298   0.01152081
  -0.00235116]
 [ 0.01624238  0...
[ 2021-05-22 06:54:51,177 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,177 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_131
[ 2021-05-22 06:54:51,177 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,177 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,178 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.37564757 -0.22444688  0.00158491 ... -0.0086298   0.01152081
  -0.00235116]
 [ 0.01624238  0...
[ 2021-05-22 06:54:51,178 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,179 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.37564757 -0.22444688  0.00158491 ... -0.0086298   0.01152081
  -0.00235116]
 [ 0.01624238  0...
[ 2021-05-22 06:54:51,179 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,179 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_10
[ 2021-05-22 06:54:51,179 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,179 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,180 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.37564757 -0.22444688  0.00158491 ... -0.0086298   0.01152081
  -0.00235116]
 [ 0.01624238  0...
[ 2021-05-22 06:54:51,180 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,181 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.37564757 -0.22444688  0.00158491 ... -0.0086298   0.01152081
  -0.00235116]
 [ 0.01624238  0...
[ 2021-05-22 06:54:51,181 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,181 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_130
[ 2021-05-22 06:54:51,181 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,181 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,181 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,182 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.13414115  0.08598974 -0.12353619 ...  0.16721506 -0.0166365
  -0.04782381]
 [ 0.08263628  0....
[ 2021-05-22 06:54:51,182 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,182 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_130
[ 2021-05-22 06:54:51,182 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,182 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,183 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.13414115  0.08598974 -0.12353619 ...  0.16721506 -0.0166365
  -0.04782381]
 [ 0.08263628  0....
[ 2021-05-22 06:54:51,183 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,184 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.13414115  0.08598974 -0.12353619 ...  0.16721506 -0.0166365
  -0.04782381]
 [ 0.08263628  0....
[ 2021-05-22 06:54:51,184 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,184 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_9
[ 2021-05-22 06:54:51,184 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,184 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,185 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.13414115  0.08598974 -0.12353619 ...  0.16721506 -0.0166365
  -0.04782381]
 [ 0.08263628  0....
[ 2021-05-22 06:54:51,185 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,186 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.13414115  0.08598974 -0.12353619 ...  0.16721506 -0.0166365
  -0.04782381]
 [ 0.08263628  0....
[ 2021-05-22 06:54:51,186 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,186 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_129
[ 2021-05-22 06:54:51,186 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,186 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,187 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,187 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.14765853 -0.07572175  0.00696866 ...  0.04283288  0.06756975
   0.00375845]
 [-0.07476562  0...
[ 2021-05-22 06:54:51,187 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,187 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_129
[ 2021-05-22 06:54:51,187 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,187 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,188 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.14765853 -0.07572175  0.00696866 ...  0.04283288  0.06756975
   0.00375845]
 [-0.07476562  0...
[ 2021-05-22 06:54:51,188 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,189 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.14765853 -0.07572175  0.00696866 ...  0.04283288  0.06756975
   0.00375845]
 [-0.07476562  0...
[ 2021-05-22 06:54:51,190 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,190 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_8
[ 2021-05-22 06:54:51,190 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,190 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,190 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.14765853 -0.07572175  0.00696866 ...  0.04283288  0.06756975
   0.00375845]
 [-0.07476562  0...
[ 2021-05-22 06:54:51,191 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,191 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.14765853 -0.07572175  0.00696866 ...  0.04283288  0.06756975
   0.00375845]
 [-0.07476562  0...
[ 2021-05-22 06:54:51,191 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,192 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_128
[ 2021-05-22 06:54:51,192 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,192 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,192 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,193 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 1.3583940e-01  3.7237301e-02 -8.7535739e-02 ... -5.5768061e-02
   5.5126671e-02 -4.7642402e-03...
[ 2021-05-22 06:54:51,193 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,193 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_128
[ 2021-05-22 06:54:51,193 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,193 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,194 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 1.3583940e-01  3.7237301e-02 -8.7535739e-02 ... -5.5768061e-02
   5.5126671e-02 -4.7642402e-03...
[ 2021-05-22 06:54:51,194 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,195 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 1.3583940e-01  3.7237301e-02 -8.7535739e-02 ... -5.5768061e-02
   5.5126671e-02 -4.7642402e-03...
[ 2021-05-22 06:54:51,195 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,195 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_7
[ 2021-05-22 06:54:51,195 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,195 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,196 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 1.3583940e-01  3.7237301e-02 -8.7535739e-02 ... -5.5768061e-02
   5.5126671e-02 -4.7642402e-03...
[ 2021-05-22 06:54:51,196 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,197 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 1.3583940e-01  3.7237301e-02 -8.7535739e-02 ... -5.5768061e-02
   5.5126671e-02 -4.7642402e-03...
[ 2021-05-22 06:54:51,197 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,197 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_127
[ 2021-05-22 06:54:51,197 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,197 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,197 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,198 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.10326103 -0.06102988 -0.06354878 ...  0.01704094 -0.17717624
  -0.14924993]
 [ 0.02033566  0...
[ 2021-05-22 06:54:51,198 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,198 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_127
[ 2021-05-22 06:54:51,198 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,198 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,199 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.10326103 -0.06102988 -0.06354878 ...  0.01704094 -0.17717624
  -0.14924993]
 [ 0.02033566  0...
[ 2021-05-22 06:54:51,199 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,200 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.10326103 -0.06102988 -0.06354878 ...  0.01704094 -0.17717624
  -0.14924993]
 [ 0.02033566  0...
[ 2021-05-22 06:54:51,200 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,200 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_6
[ 2021-05-22 06:54:51,200 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,200 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,201 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.10326103 -0.06102988 -0.06354878 ...  0.01704094 -0.17717624
  -0.14924993]
 [ 0.02033566  0...
[ 2021-05-22 06:54:51,201 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,202 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.10326103 -0.06102988 -0.06354878 ...  0.01704094 -0.17717624
  -0.14924993]
 [ 0.02033566  0...
[ 2021-05-22 06:54:51,202 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,202 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_126
[ 2021-05-22 06:54:51,202 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,202 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,202 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,203 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.19249833 -0.10367653  0.1479563  ... -0.10554031  0.3413975
   0.04865707]
 [ 0.16513315 -0....
[ 2021-05-22 06:54:51,203 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,203 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_126
[ 2021-05-22 06:54:51,203 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,203 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,204 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.19249833 -0.10367653  0.1479563  ... -0.10554031  0.3413975
   0.04865707]
 [ 0.16513315 -0....
[ 2021-05-22 06:54:51,204 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,205 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.19249833 -0.10367653  0.1479563  ... -0.10554031  0.3413975
   0.04865707]
 [ 0.16513315 -0....
[ 2021-05-22 06:54:51,205 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,205 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_5
[ 2021-05-22 06:54:51,205 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,205 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,206 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.19249833 -0.10367653  0.1479563  ... -0.10554031  0.3413975
   0.04865707]
 [ 0.16513315 -0....
[ 2021-05-22 06:54:51,207 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,207 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.19249833 -0.10367653  0.1479563  ... -0.10554031  0.3413975
   0.04865707]
 [ 0.16513315 -0....
[ 2021-05-22 06:54:51,207 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,207 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_125
[ 2021-05-22 06:54:51,207 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,208 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,208 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,208 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.0098035   0.08748315 -0.08733083 ...  0.03406547 -0.00089495
   0.01462108]
 [ 0.06637857 -0...
[ 2021-05-22 06:54:51,208 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,209 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_125
[ 2021-05-22 06:54:51,209 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,209 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,209 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.0098035   0.08748315 -0.08733083 ...  0.03406547 -0.00089495
   0.01462108]
 [ 0.06637857 -0...
[ 2021-05-22 06:54:51,210 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,210 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.0098035   0.08748315 -0.08733083 ...  0.03406547 -0.00089495
   0.01462108]
 [ 0.06637857 -0...
[ 2021-05-22 06:54:51,211 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,211 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_4
[ 2021-05-22 06:54:51,211 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,211 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,211 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[ 0.0098035   0.08748315 -0.08733083 ...  0.03406547 -0.00089495
   0.01462108]
 [ 0.06637857 -0...
[ 2021-05-22 06:54:51,212 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,212 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[ 0.0098035   0.08748315 -0.08733083 ...  0.03406547 -0.00089495
   0.01462108]
 [ 0.06637857 -0...
[ 2021-05-22 06:54:51,213 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,213 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_124
[ 2021-05-22 06:54:51,213 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,213 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,213 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,213 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.10207149  0.10122231 -0.09708871 ...  0.07002635  0.01067041
  -0.14287528]
 [ 0.01963169 -0...
[ 2021-05-22 06:54:51,214 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,214 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_124
[ 2021-05-22 06:54:51,214 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,214 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,215 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.10207149  0.10122231 -0.09708871 ...  0.07002635  0.01067041
  -0.14287528]
 [ 0.01963169 -0...
[ 2021-05-22 06:54:51,215 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,216 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.10207149  0.10122231 -0.09708871 ...  0.07002635  0.01067041
  -0.14287528]
 [ 0.01963169 -0...
[ 2021-05-22 06:54:51,216 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,216 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_3
[ 2021-05-22 06:54:51,216 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,216 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,217 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.10207149  0.10122231 -0.09708871 ...  0.07002635  0.01067041
  -0.14287528]
 [ 0.01963169 -0...
[ 2021-05-22 06:54:51,217 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,218 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.10207149  0.10122231 -0.09708871 ...  0.07002635  0.01067041
  -0.14287528]
 [ 0.01963169 -0...
[ 2021-05-22 06:54:51,218 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,218 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_123
[ 2021-05-22 06:54:51,218 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,218 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,218 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,219 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.10588901  0.19182175  0.02559333 ... -0.09946322  0.12509575
   0.03364563]
 [-0.03660088 -0...
[ 2021-05-22 06:54:51,219 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,219 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_123
[ 2021-05-22 06:54:51,219 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,219 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,220 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.10588901  0.19182175  0.02559333 ... -0.09946322  0.12509575
   0.03364563]
 [-0.03660088 -0...
[ 2021-05-22 06:54:51,220 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,221 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.10588901  0.19182175  0.02559333 ... -0.09946322  0.12509575
   0.03364563]
 [-0.03660088 -0...
[ 2021-05-22 06:54:51,221 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,221 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_2
[ 2021-05-22 06:54:51,221 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,221 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,222 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 17 512], value = [[-0.10588901  0.19182175  0.02559333 ... -0.09946322  0.12509575
   0.03364563]
 [-0.03660088 -0...
[ 2021-05-22 06:54:51,222 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,223 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 17 512], value = [[-0.10588901  0.19182175  0.02559333 ... -0.09946322  0.12509575
   0.03364563]
 [-0.03660088 -0...
[ 2021-05-22 06:54:51,223 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,223 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_122
[ 2021-05-22 06:54:51,223 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,223 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,223 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,224 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 18 512], value = [[ 0.02958087  0.0082291   0.00821591 ...  0.01227817 -0.02273002
  -0.07272936]
 [ 0.00122997 -0...
[ 2021-05-22 06:54:51,224 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,224 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_122
[ 2021-05-22 06:54:51,224 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,224 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,225 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 18 512], value = [[ 0.02958087  0.0082291   0.00821591 ...  0.01227817 -0.02273002
  -0.07272936]
 [ 0.00122997 -0...
[ 2021-05-22 06:54:51,225 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,226 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 18 512], value = [[ 0.02958087  0.0082291   0.00821591 ...  0.01227817 -0.02273002
  -0.07272936]
 [ 0.00122997 -0...
[ 2021-05-22 06:54:51,226 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,226 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp_1
[ 2021-05-22 06:54:51,226 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,226 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,227 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 18 512], value = [[ 0.02958087  0.0082291   0.00821591 ...  0.01227817 -0.02273002
  -0.07272936]
 [ 0.00122997 -0...
[ 2021-05-22 06:54:51,227 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,228 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 18 512], value = [[ 0.02958087  0.0082291   0.00821591 ...  0.01227817 -0.02273002
  -0.07272936]
 [ 0.00122997 -0...
[ 2021-05-22 06:54:51,228 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,228 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_121
[ 2021-05-22 06:54:51,228 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,228 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,229 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,229 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 18 512], value = [[ 0.01683741 -0.02979642 -0.14848478 ... -0.09028667 -0.04476688
   0.07603917]
 [-0.05262208 -0...
[ 2021-05-22 06:54:51,229 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,229 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_121
[ 2021-05-22 06:54:51,229 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,230 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,230 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 18 512], value = [[ 0.01683741 -0.02979642 -0.14848478 ... -0.09028667 -0.04476688
   0.07603917]
 [-0.05262208 -0...
[ 2021-05-22 06:54:51,231 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,231 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 18 512], value = [[ 0.01683741 -0.02979642 -0.14848478 ... -0.09028667 -0.04476688
   0.07603917]
 [-0.05262208 -0...
[ 2021-05-22 06:54:51,231 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,231 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat/ReadVariableOp
[ 2021-05-22 06:54:51,231 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,232 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,232 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 18 512], value = [[ 0.01683741 -0.02979642 -0.14848478 ... -0.09028667 -0.04476688
   0.07603917]
 [-0.05262208 -0...
[ 2021-05-22 06:54:51,233 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,233 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 18 512], value = [[ 0.01683741 -0.02979642 -0.14848478 ... -0.09028667 -0.04476688
   0.07603917]
 [-0.05262208 -0...
[ 2021-05-22 06:54:51,234 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,234 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel/ConcatPartitions/concat
[ 2021-05-22 06:54:51,234 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2021-05-22 06:54:51,234 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,234 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 18 512], value = [[ 0.01683741 -0.02979642 -0.14848478 ... -0.09028667 -0.04476688
   0.07603917]
 [-0.05262208 -0...
[ 2021-05-22 06:54:51,235 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 18 512], value = [[ 0.02958087  0.0082291   0.00821591 ...  0.01227817 -0.02273002
  -0.07272936]
 [ 0.00122997 -0...
[ 2021-05-22 06:54:51,236 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [ 17 512], value = [[-0.10588901  0.19182175  0.02559333 ... -0.09946322  0.12509575
   0.03364563]
 [-0.03660088 -0...
[ 2021-05-22 06:54:51,236 ] [ DEBUG ] [ infer:32 ]  input[3]: shape = [ 17 512], value = [[-0.10207149  0.10122231 -0.09708871 ...  0.07002635  0.01067041
  -0.14287528]
 [ 0.01963169 -0...
[ 2021-05-22 06:54:51,237 ] [ DEBUG ] [ infer:32 ]  input[4]: shape = [ 17 512], value = [[ 0.0098035   0.08748315 -0.08733083 ...  0.03406547 -0.00089495
   0.01462108]
 [ 0.06637857 -0...
[ 2021-05-22 06:54:51,237 ] [ DEBUG ] [ infer:32 ]  input[5]: shape = [ 17 512], value = [[-0.19249833 -0.10367653  0.1479563  ... -0.10554031  0.3413975
   0.04865707]
 [ 0.16513315 -0....
[ 2021-05-22 06:54:51,238 ] [ DEBUG ] [ infer:32 ]  input[6]: shape = [ 17 512], value = [[ 0.10326103 -0.06102988 -0.06354878 ...  0.01704094 -0.17717624
  -0.14924993]
 [ 0.02033566  0...
[ 2021-05-22 06:54:51,239 ] [ DEBUG ] [ infer:32 ]  input[7]: shape = [ 17 512], value = [[ 1.3583940e-01  3.7237301e-02 -8.7535739e-02 ... -5.5768061e-02
   5.5126671e-02 -4.7642402e-03...
[ 2021-05-22 06:54:51,239 ] [ DEBUG ] [ infer:32 ]  input[8]: shape = [ 17 512], value = [[ 0.14765853 -0.07572175  0.00696866 ...  0.04283288  0.06756975
   0.00375845]
 [-0.07476562  0...
[ 2021-05-22 06:54:51,240 ] [ DEBUG ] [ infer:32 ]  input[9]: shape = [ 17 512], value = [[-0.13414115  0.08598974 -0.12353619 ...  0.16721506 -0.0166365
  -0.04782381]
 [ 0.08263628  0....
[ 2021-05-22 06:54:51,240 ] [ DEBUG ] [ infer:32 ]  input[10]: shape = [ 17 512], value = [[-0.37564757 -0.22444688  0.00158491 ... -0.0086298   0.01152081
  -0.00235116]
 [ 0.01624238  0...
[ 2021-05-22 06:54:51,241 ] [ DEBUG ] [ infer:32 ]  input[11]: shape = [ 17 512], value = [[ 0.00296068 -0.0082256  -0.08117586 ... -0.05045272  0.07617182
   0.04231721]
 [ 0.10198944  0...
[ 2021-05-22 06:54:51,242 ] [ DEBUG ] [ infer:32 ]  input[12]: shape = [ 17 512], value = [[ 0.09764536 -0.03146761 -0.09388663 ... -0.0087761  -0.01267539
  -0.0006567 ]
 [-0.04130502  0...
[ 2021-05-22 06:54:51,242 ] [ DEBUG ] [ infer:32 ]  input[13]: shape = [ 17 512], value = [[ 0.04187726 -0.03229716  0.00868138 ...  0.02897343 -0.01017215
  -0.04775807]
 [ 0.07233629 -0...
[ 2021-05-22 06:54:51,243 ] [ DEBUG ] [ infer:32 ]  input[14]: shape = [ 17 512], value = [[ 0.02526973  0.11617146  0.2245299  ... -0.05763075  0.00316291
  -0.23666556]
 [-0.00654937  0...
[ 2021-05-22 06:54:51,243 ] [ DEBUG ] [ infer:32 ]  input[15]: shape = [ 17 512], value = [[ 8.2914941e-02 -5.1485337e-02 -5.5223336e-03 ...  6.3598430e-01
   7.4842133e-02 -1.0392529e-01...
[ 2021-05-22 06:54:51,244 ] [ DEBUG ] [ infer:32 ]  input[16]: shape = [ 17 512], value = [[-0.12361433 -0.02241973 -0.00523515 ...  0.07793562  0.03374408
   0.09857545]
 [ 0.01546963  0...
[ 2021-05-22 06:54:51,245 ] [ DEBUG ] [ infer:32 ]  input[17]: shape = [ 17 512], value = [[-0.2739479  -0.09456325  0.00280625 ...  0.135018   -0.05335268
  -0.15761262]
 [-0.05386868 -0...
[ 2021-05-22 06:54:51,245 ] [ DEBUG ] [ infer:32 ]  input[18]: shape = [ 17 512], value = [[-0.12037657 -0.0099257   0.03143345 ... -0.0422968   0.0026353
  -0.06392046]
 [ 0.13157548  0....
[ 2021-05-22 06:54:51,246 ] [ DEBUG ] [ infer:32 ]  input[19]: shape = [ 17 512], value = [[ 0.11056483  0.05415059 -0.0517869  ...  0.13429824 -0.03764309
   0.17755723]
 [-0.21643092  0...
[ 2021-05-22 06:54:51,246 ] [ DEBUG ] [ infer:32 ]  input[20]: shape = [ 17 512], value = [[-6.0529970e-02 -1.9538486e-02  1.6165014e-01 ... -2.0150776e-01
   1.0444909e-01 -1.0538929e-01...
[ 2021-05-22 06:54:51,247 ] [ DEBUG ] [ infer:32 ]  input[21]: shape = [ 17 512], value = [[-0.24231642  0.07599854  0.06840508 ...  0.65699446  0.01513332
  -0.24429436]
 [ 0.00249934  0...
[ 2021-05-22 06:54:51,248 ] [ DEBUG ] [ infer:32 ]  input[22]: shape = [ 17 512], value = [[-0.00120361  0.13023841 -0.02561259 ...  0.02783036 -0.05065458
   0.14338605]
 [ 0.02172161  0...
[ 2021-05-22 06:54:51,248 ] [ DEBUG ] [ infer:32 ]  input[23]: shape = [ 17 512], value = [[-0.01914234 -0.02206287  0.03013785 ...  0.05339848 -0.05560419
  -0.09280869]
 [-0.01379638  0...
[ 2021-05-22 06:54:51,249 ] [ DEBUG ] [ infer:32 ]  input[24]: shape = [ 17 512], value = [[ 0.13224429  0.10314228  0.24279001 ...  0.02456589 -0.4747963
   0.08288221]
 [-0.00066298  0....
[ 2021-05-22 06:54:51,249 ] [ DEBUG ] [ infer:32 ]  input[25]: shape = [ 17 512], value = [[ 0.00576988  0.0535586   0.01237635 ...  0.04064752  0.04577291
   0.04572712]
 [ 0.02432746  0...
[ 2021-05-22 06:54:51,250 ] [ DEBUG ] [ infer:32 ]  input[26]: shape = [ 17 512], value = [[ 0.01254215  0.06225101 -0.0402285  ...  0.06641583 -0.0093022
  -0.01479496]
 [ 0.07300709  0....
[ 2021-05-22 06:54:51,251 ] [ DEBUG ] [ infer:32 ]  input[27]: shape = [ 17 512], value = [[-0.04305092  0.17866193 -0.06650559 ...  0.10004404  0.00079835
   0.00578563]
 [ 0.05215374 -0...
[ 2021-05-22 06:54:51,251 ] [ DEBUG ] [ infer:32 ]  input[28]: shape = [ 17 512], value = [[-0.00134301  0.02214236 -0.05522754 ... -0.04253931  0.12527025
  -0.01859526]
 [ 0.05350808  0...
[ 2021-05-22 06:54:51,252 ] [ DEBUG ] [ infer:32 ]  input[29]: shape = [ 17 512], value = [[-0.10103903  0.16982976  0.00360349 ...  0.07488769  0.02648612
   0.12076237]
 [-0.03735086  0...
[ 2021-05-22 06:54:51,252 ] [ DEBUG ] [ infer:32 ]  input[30]: shape = [], value = 0
[ 2021-05-22 06:54:51,259 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,260 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [512 512], value = [[ 0.01683741 -0.02979642 -0.14848478 ... -0.09028667 -0.04476688
   0.07603917]
 [-0.05262208 -0...
[ 2021-05-22 06:54:51,260 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,260 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_3/dense/kernel
[ 2021-05-22 06:54:51,260 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,260 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,261 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [512 512], value = [[ 0.01683741 -0.02979642 -0.14848478 ... -0.09028667 -0.04476688
   0.07603917]
 [-0.05262208 -0...
[ 2021-05-22 06:54:51,261 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,262 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [512 512], value = [[ 0.01683741 -0.02979642 -0.14848478 ... -0.09028667 -0.04476688
   0.07603917]
 [-0.05262208 -0...
[ 2021-05-22 06:54:51,262 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,262 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/axis
[ 2021-05-22 06:54:51,262 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,262 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,262 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,262 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,262 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,262 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_120
[ 2021-05-22 06:54:51,262 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,263 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,263 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,263 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 3.64719005e-03  2.37091288e-01  6.97780669e-01 ... -2.61160165e-01
  -8.80270824e-02  1.875041...
[ 2021-05-22 06:54:51,263 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,264 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_120
[ 2021-05-22 06:54:51,264 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,264 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,264 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 3.64719005e-03  2.37091288e-01  6.97780669e-01 ... -2.61160165e-01
  -8.80270824e-02  1.875041...
[ 2021-05-22 06:54:51,265 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,265 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 3.64719005e-03  2.37091288e-01  6.97780669e-01 ... -2.61160165e-01
  -8.80270824e-02  1.875041...
[ 2021-05-22 06:54:51,266 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,266 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_29
[ 2021-05-22 06:54:51,266 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,266 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,266 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 3.64719005e-03  2.37091288e-01  6.97780669e-01 ... -2.61160165e-01
  -8.80270824e-02  1.875041...
[ 2021-05-22 06:54:51,267 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,267 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 3.64719005e-03  2.37091288e-01  6.97780669e-01 ... -2.61160165e-01
  -8.80270824e-02  1.875041...
[ 2021-05-22 06:54:51,267 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,268 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_119
[ 2021-05-22 06:54:51,268 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,268 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,268 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,268 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.06104134 -0.10444725  0.11247779 ... -0.02238279 -0.07156565
  -0.01796314]
 [-0.11570065 -0...
[ 2021-05-22 06:54:51,269 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,269 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_119
[ 2021-05-22 06:54:51,269 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,269 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,269 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.06104134 -0.10444725  0.11247779 ... -0.02238279 -0.07156565
  -0.01796314]
 [-0.11570065 -0...
[ 2021-05-22 06:54:51,270 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,270 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.06104134 -0.10444725  0.11247779 ... -0.02238279 -0.07156565
  -0.01796314]
 [-0.11570065 -0...
[ 2021-05-22 06:54:51,271 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,271 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_28
[ 2021-05-22 06:54:51,271 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,271 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,271 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.06104134 -0.10444725  0.11247779 ... -0.02238279 -0.07156565
  -0.01796314]
 [-0.11570065 -0...
[ 2021-05-22 06:54:51,272 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,272 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.06104134 -0.10444725  0.11247779 ... -0.02238279 -0.07156565
  -0.01796314]
 [-0.11570065 -0...
[ 2021-05-22 06:54:51,273 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,273 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_118
[ 2021-05-22 06:54:51,273 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,273 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,273 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,273 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.01845275 -0.24738096  0.11112192 ... -0.03369876  0.07732112
  -0.17348696]
 [-0.08717667  0...
[ 2021-05-22 06:54:51,274 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,274 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_118
[ 2021-05-22 06:54:51,274 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,274 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,274 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.01845275 -0.24738096  0.11112192 ... -0.03369876  0.07732112
  -0.17348696]
 [-0.08717667  0...
[ 2021-05-22 06:54:51,275 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,275 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.01845275 -0.24738096  0.11112192 ... -0.03369876  0.07732112
  -0.17348696]
 [-0.08717667  0...
[ 2021-05-22 06:54:51,276 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,276 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_27
[ 2021-05-22 06:54:51,276 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,276 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,276 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.01845275 -0.24738096  0.11112192 ... -0.03369876  0.07732112
  -0.17348696]
 [-0.08717667  0...
[ 2021-05-22 06:54:51,277 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,277 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.01845275 -0.24738096  0.11112192 ... -0.03369876  0.07732112
  -0.17348696]
 [-0.08717667  0...
[ 2021-05-22 06:54:51,278 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,278 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_117
[ 2021-05-22 06:54:51,278 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,278 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,278 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,279 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.20891343  0.01262897 -0.08490023 ... -0.03912835  0.26477733
   0.14972368]
 [-0.05250107  0...
[ 2021-05-22 06:54:51,279 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,279 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_117
[ 2021-05-22 06:54:51,279 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,279 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,279 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.20891343  0.01262897 -0.08490023 ... -0.03912835  0.26477733
   0.14972368]
 [-0.05250107  0...
[ 2021-05-22 06:54:51,280 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,280 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.20891343  0.01262897 -0.08490023 ... -0.03912835  0.26477733
   0.14972368]
 [-0.05250107  0...
[ 2021-05-22 06:54:51,281 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,281 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_26
[ 2021-05-22 06:54:51,281 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,281 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,282 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.20891343  0.01262897 -0.08490023 ... -0.03912835  0.26477733
   0.14972368]
 [-0.05250107  0...
[ 2021-05-22 06:54:51,282 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,283 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.20891343  0.01262897 -0.08490023 ... -0.03912835  0.26477733
   0.14972368]
 [-0.05250107  0...
[ 2021-05-22 06:54:51,283 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,283 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_116
[ 2021-05-22 06:54:51,283 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,283 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,283 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,284 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.02506118 -0.02075425  0.12236023 ... -0.08329309 -0.03931167
  -0.0082801 ]
 [-0.09529801 -0...
[ 2021-05-22 06:54:51,284 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,284 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_116
[ 2021-05-22 06:54:51,284 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,284 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,285 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.02506118 -0.02075425  0.12236023 ... -0.08329309 -0.03931167
  -0.0082801 ]
 [-0.09529801 -0...
[ 2021-05-22 06:54:51,285 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,286 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.02506118 -0.02075425  0.12236023 ... -0.08329309 -0.03931167
  -0.0082801 ]
 [-0.09529801 -0...
[ 2021-05-22 06:54:51,286 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,286 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_25
[ 2021-05-22 06:54:51,286 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,286 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,287 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.02506118 -0.02075425  0.12236023 ... -0.08329309 -0.03931167
  -0.0082801 ]
 [-0.09529801 -0...
[ 2021-05-22 06:54:51,287 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,288 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.02506118 -0.02075425  0.12236023 ... -0.08329309 -0.03931167
  -0.0082801 ]
 [-0.09529801 -0...
[ 2021-05-22 06:54:51,288 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,288 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_115
[ 2021-05-22 06:54:51,288 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,288 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,288 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,289 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.08818635 -0.1092617   0.12426523 ... -0.16426057  0.04749683
  -0.00500811]
 [ 0.03308409 -0...
[ 2021-05-22 06:54:51,289 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,289 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_115
[ 2021-05-22 06:54:51,289 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,289 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,290 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.08818635 -0.1092617   0.12426523 ... -0.16426057  0.04749683
  -0.00500811]
 [ 0.03308409 -0...
[ 2021-05-22 06:54:51,290 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,291 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.08818635 -0.1092617   0.12426523 ... -0.16426057  0.04749683
  -0.00500811]
 [ 0.03308409 -0...
[ 2021-05-22 06:54:51,291 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,291 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_24
[ 2021-05-22 06:54:51,291 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,291 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,292 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.08818635 -0.1092617   0.12426523 ... -0.16426057  0.04749683
  -0.00500811]
 [ 0.03308409 -0...
[ 2021-05-22 06:54:51,292 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,293 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.08818635 -0.1092617   0.12426523 ... -0.16426057  0.04749683
  -0.00500811]
 [ 0.03308409 -0...
[ 2021-05-22 06:54:51,293 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,293 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_114
[ 2021-05-22 06:54:51,293 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,293 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,294 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,294 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.04400014 -0.23353526 -0.22595136 ...  0.02211934 -0.06110158
   0.06340721]
 [-0.3303996   0...
[ 2021-05-22 06:54:51,294 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,294 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_114
[ 2021-05-22 06:54:51,294 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,294 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,295 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.04400014 -0.23353526 -0.22595136 ...  0.02211934 -0.06110158
   0.06340721]
 [-0.3303996   0...
[ 2021-05-22 06:54:51,295 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,296 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.04400014 -0.23353526 -0.22595136 ...  0.02211934 -0.06110158
   0.06340721]
 [-0.3303996   0...
[ 2021-05-22 06:54:51,296 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,297 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_23
[ 2021-05-22 06:54:51,297 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,297 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,297 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.04400014 -0.23353526 -0.22595136 ...  0.02211934 -0.06110158
   0.06340721]
 [-0.3303996   0...
[ 2021-05-22 06:54:51,298 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,298 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.04400014 -0.23353526 -0.22595136 ...  0.02211934 -0.06110158
   0.06340721]
 [-0.3303996   0...
[ 2021-05-22 06:54:51,298 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,299 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_113
[ 2021-05-22 06:54:51,299 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,299 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,299 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,299 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.10719275 -0.21359341 -0.0554831  ...  0.02668575 -0.0974145
  -0.03540429]
 [ 0.00168875  0....
[ 2021-05-22 06:54:51,300 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,300 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_113
[ 2021-05-22 06:54:51,300 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,300 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,300 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.10719275 -0.21359341 -0.0554831  ...  0.02668575 -0.0974145
  -0.03540429]
 [ 0.00168875  0....
[ 2021-05-22 06:54:51,301 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,301 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.10719275 -0.21359341 -0.0554831  ...  0.02668575 -0.0974145
  -0.03540429]
 [ 0.00168875  0....
[ 2021-05-22 06:54:51,302 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,302 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_22
[ 2021-05-22 06:54:51,302 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,302 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,302 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[ 0.10719275 -0.21359341 -0.0554831  ...  0.02668575 -0.0974145
  -0.03540429]
 [ 0.00168875  0....
[ 2021-05-22 06:54:51,303 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,303 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[ 0.10719275 -0.21359341 -0.0554831  ...  0.02668575 -0.0974145
  -0.03540429]
 [ 0.00168875  0....
[ 2021-05-22 06:54:51,304 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,304 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_112
[ 2021-05-22 06:54:51,304 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,304 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,304 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,305 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.01908728 -0.11180095 -0.04383465 ...  0.16930312 -0.01348369
   0.02826381]
 [ 0.04809818 -0...
[ 2021-05-22 06:54:51,305 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,305 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_112
[ 2021-05-22 06:54:51,305 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,305 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,306 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.01908728 -0.11180095 -0.04383465 ...  0.16930312 -0.01348369
   0.02826381]
 [ 0.04809818 -0...
[ 2021-05-22 06:54:51,306 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,307 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.01908728 -0.11180095 -0.04383465 ...  0.16930312 -0.01348369
   0.02826381]
 [ 0.04809818 -0...
[ 2021-05-22 06:54:51,307 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,307 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_21
[ 2021-05-22 06:54:51,307 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,307 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,308 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.01908728 -0.11180095 -0.04383465 ...  0.16930312 -0.01348369
   0.02826381]
 [ 0.04809818 -0...
[ 2021-05-22 06:54:51,308 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,309 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.01908728 -0.11180095 -0.04383465 ...  0.16930312 -0.01348369
   0.02826381]
 [ 0.04809818 -0...
[ 2021-05-22 06:54:51,309 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,309 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_111
[ 2021-05-22 06:54:51,309 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,309 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,309 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,310 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.31264544  0.13301091  0.15056473 ...  0.2981817   0.25575548
   0.08380903]
 [ 0.08551361 -0...
[ 2021-05-22 06:54:51,310 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,310 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_111
[ 2021-05-22 06:54:51,310 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,310 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,311 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.31264544  0.13301091  0.15056473 ...  0.2981817   0.25575548
   0.08380903]
 [ 0.08551361 -0...
[ 2021-05-22 06:54:51,311 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,312 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.31264544  0.13301091  0.15056473 ...  0.2981817   0.25575548
   0.08380903]
 [ 0.08551361 -0...
[ 2021-05-22 06:54:51,312 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,312 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_20
[ 2021-05-22 06:54:51,312 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,312 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,313 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 512], value = [[-0.31264544  0.13301091  0.15056473 ...  0.2981817   0.25575548
   0.08380903]
 [ 0.08551361 -0...
[ 2021-05-22 06:54:51,313 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,314 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 512], value = [[-0.31264544  0.13301091  0.15056473 ...  0.2981817   0.25575548
   0.08380903]
 [ 0.08551361 -0...
[ 2021-05-22 06:54:51,314 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,314 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_110
[ 2021-05-22 06:54:51,314 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,314 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,314 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,315 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.26745823 -0.21984531 -0.09374588 ...  0.32666877 -0.18664499
   0.00631228]
 [-0.06833666 -0...
[ 2021-05-22 06:54:51,315 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,315 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_110
[ 2021-05-22 06:54:51,315 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,315 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,316 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.26745823 -0.21984531 -0.09374588 ...  0.32666877 -0.18664499
   0.00631228]
 [-0.06833666 -0...
[ 2021-05-22 06:54:51,316 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,317 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.26745823 -0.21984531 -0.09374588 ...  0.32666877 -0.18664499
   0.00631228]
 [-0.06833666 -0...
[ 2021-05-22 06:54:51,317 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,317 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_19
[ 2021-05-22 06:54:51,317 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,317 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,318 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.26745823 -0.21984531 -0.09374588 ...  0.32666877 -0.18664499
   0.00631228]
 [-0.06833666 -0...
[ 2021-05-22 06:54:51,318 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,319 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.26745823 -0.21984531 -0.09374588 ...  0.32666877 -0.18664499
   0.00631228]
 [-0.06833666 -0...
[ 2021-05-22 06:54:51,319 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,319 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_109
[ 2021-05-22 06:54:51,319 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,319 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,320 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,320 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.04665177  0.04354487  0.20458987 ...  0.2668227  -0.08490875
  -0.04223422]
 [-0.03911892 -0...
[ 2021-05-22 06:54:51,320 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,320 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_109
[ 2021-05-22 06:54:51,320 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,320 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,321 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.04665177  0.04354487  0.20458987 ...  0.2668227  -0.08490875
  -0.04223422]
 [-0.03911892 -0...
[ 2021-05-22 06:54:51,322 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,322 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.04665177  0.04354487  0.20458987 ...  0.2668227  -0.08490875
  -0.04223422]
 [-0.03911892 -0...
[ 2021-05-22 06:54:51,322 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,322 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_18
[ 2021-05-22 06:54:51,322 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,323 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,323 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.04665177  0.04354487  0.20458987 ...  0.2668227  -0.08490875
  -0.04223422]
 [-0.03911892 -0...
[ 2021-05-22 06:54:51,324 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,324 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.04665177  0.04354487  0.20458987 ...  0.2668227  -0.08490875
  -0.04223422]
 [-0.03911892 -0...
[ 2021-05-22 06:54:51,324 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,324 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_108
[ 2021-05-22 06:54:51,324 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,325 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,325 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,325 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01517063 -0.07683258  0.02281906 ... -0.08329212  0.02647398
  -0.11374938]
 [ 0.02337768 -0...
[ 2021-05-22 06:54:51,326 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,326 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_108
[ 2021-05-22 06:54:51,326 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,326 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,326 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.01517063 -0.07683258  0.02281906 ... -0.08329212  0.02647398
  -0.11374938]
 [ 0.02337768 -0...
[ 2021-05-22 06:54:51,327 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,327 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01517063 -0.07683258  0.02281906 ... -0.08329212  0.02647398
  -0.11374938]
 [ 0.02337768 -0...
[ 2021-05-22 06:54:51,328 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,328 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_17
[ 2021-05-22 06:54:51,328 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,328 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,328 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.01517063 -0.07683258  0.02281906 ... -0.08329212  0.02647398
  -0.11374938]
 [ 0.02337768 -0...
[ 2021-05-22 06:54:51,329 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,329 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01517063 -0.07683258  0.02281906 ... -0.08329212  0.02647398
  -0.11374938]
 [ 0.02337768 -0...
[ 2021-05-22 06:54:51,330 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,330 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_107
[ 2021-05-22 06:54:51,330 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,330 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,330 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,331 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.06641562  0.00128814  0.08210853 ...  0.09720787 -0.03885357
  -0.06744515]
 [-0.0037309  -0...
[ 2021-05-22 06:54:51,331 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,331 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_107
[ 2021-05-22 06:54:51,331 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,331 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,331 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.06641562  0.00128814  0.08210853 ...  0.09720787 -0.03885357
  -0.06744515]
 [-0.0037309  -0...
[ 2021-05-22 06:54:51,332 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,333 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.06641562  0.00128814  0.08210853 ...  0.09720787 -0.03885357
  -0.06744515]
 [-0.0037309  -0...
[ 2021-05-22 06:54:51,333 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,333 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_16
[ 2021-05-22 06:54:51,333 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,333 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,334 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.06641562  0.00128814  0.08210853 ...  0.09720787 -0.03885357
  -0.06744515]
 [-0.0037309  -0...
[ 2021-05-22 06:54:51,334 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,335 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.06641562  0.00128814  0.08210853 ...  0.09720787 -0.03885357
  -0.06744515]
 [-0.0037309  -0...
[ 2021-05-22 06:54:51,335 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,335 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_106
[ 2021-05-22 06:54:51,335 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,335 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,335 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,336 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01087361 -0.17964785  0.06092037 ...  0.1091027   0.02735617
  -0.01886284]
 [-0.01490027  0...
[ 2021-05-22 06:54:51,336 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,336 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_106
[ 2021-05-22 06:54:51,336 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,336 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,337 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.01087361 -0.17964785  0.06092037 ...  0.1091027   0.02735617
  -0.01886284]
 [-0.01490027  0...
[ 2021-05-22 06:54:51,337 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,338 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01087361 -0.17964785  0.06092037 ...  0.1091027   0.02735617
  -0.01886284]
 [-0.01490027  0...
[ 2021-05-22 06:54:51,338 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,338 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_15
[ 2021-05-22 06:54:51,338 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,338 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,339 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.01087361 -0.17964785  0.06092037 ...  0.1091027   0.02735617
  -0.01886284]
 [-0.01490027  0...
[ 2021-05-22 06:54:51,339 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,340 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01087361 -0.17964785  0.06092037 ...  0.1091027   0.02735617
  -0.01886284]
 [-0.01490027  0...
[ 2021-05-22 06:54:51,340 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,340 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_105
[ 2021-05-22 06:54:51,340 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,340 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,340 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,341 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.07475015 -0.15573336 -0.00987778 ... -0.11142829 -0.05683535
  -0.0280351 ]
 [-0.02848352  0...
[ 2021-05-22 06:54:51,341 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,341 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_105
[ 2021-05-22 06:54:51,341 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,341 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,342 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.07475015 -0.15573336 -0.00987778 ... -0.11142829 -0.05683535
  -0.0280351 ]
 [-0.02848352  0...
[ 2021-05-22 06:54:51,342 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,343 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.07475015 -0.15573336 -0.00987778 ... -0.11142829 -0.05683535
  -0.0280351 ]
 [-0.02848352  0...
[ 2021-05-22 06:54:51,343 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,343 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_14
[ 2021-05-22 06:54:51,343 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,343 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,344 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.07475015 -0.15573336 -0.00987778 ... -0.11142829 -0.05683535
  -0.0280351 ]
 [-0.02848352  0...
[ 2021-05-22 06:54:51,344 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,345 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.07475015 -0.15573336 -0.00987778 ... -0.11142829 -0.05683535
  -0.0280351 ]
 [-0.02848352  0...
[ 2021-05-22 06:54:51,345 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,345 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_104
[ 2021-05-22 06:54:51,345 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,345 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,345 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,346 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01109226 -0.05762618 -0.00508371 ... -0.01650664 -0.03462059
   0.02367272]
 [-0.03706771  0...
[ 2021-05-22 06:54:51,346 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,346 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_104
[ 2021-05-22 06:54:51,347 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,347 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,347 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.01109226 -0.05762618 -0.00508371 ... -0.01650664 -0.03462059
   0.02367272]
 [-0.03706771  0...
[ 2021-05-22 06:54:51,348 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,348 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01109226 -0.05762618 -0.00508371 ... -0.01650664 -0.03462059
   0.02367272]
 [-0.03706771  0...
[ 2021-05-22 06:54:51,349 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,349 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_13
[ 2021-05-22 06:54:51,349 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,349 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,350 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.01109226 -0.05762618 -0.00508371 ... -0.01650664 -0.03462059
   0.02367272]
 [-0.03706771  0...
[ 2021-05-22 06:54:51,350 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,351 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.01109226 -0.05762618 -0.00508371 ... -0.01650664 -0.03462059
   0.02367272]
 [-0.03706771  0...
[ 2021-05-22 06:54:51,351 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,351 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_103
[ 2021-05-22 06:54:51,351 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,351 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,351 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,352 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.04927972 -0.04936677 -0.2238862  ...  0.06601808  0.11806929
  -0.03229956]
 [ 0.02291331  0...
[ 2021-05-22 06:54:51,352 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,352 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_103
[ 2021-05-22 06:54:51,352 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,352 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,353 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.04927972 -0.04936677 -0.2238862  ...  0.06601808  0.11806929
  -0.03229956]
 [ 0.02291331  0...
[ 2021-05-22 06:54:51,354 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,354 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.04927972 -0.04936677 -0.2238862  ...  0.06601808  0.11806929
  -0.03229956]
 [ 0.02291331  0...
[ 2021-05-22 06:54:51,354 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,355 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_12
[ 2021-05-22 06:54:51,355 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,355 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,355 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.04927972 -0.04936677 -0.2238862  ...  0.06601808  0.11806929
  -0.03229956]
 [ 0.02291331  0...
[ 2021-05-22 06:54:51,356 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,357 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.04927972 -0.04936677 -0.2238862  ...  0.06601808  0.11806929
  -0.03229956]
 [ 0.02291331  0...
[ 2021-05-22 06:54:51,357 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,357 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_102
[ 2021-05-22 06:54:51,357 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,357 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,357 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,358 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.13018878 -0.13621415  0.04452749 ... -0.20180611 -0.18411049
  -0.13947794]
 [-0.00278276 -0...
[ 2021-05-22 06:54:51,358 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,358 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_102
[ 2021-05-22 06:54:51,358 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,358 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,359 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.13018878 -0.13621415  0.04452749 ... -0.20180611 -0.18411049
  -0.13947794]
 [-0.00278276 -0...
[ 2021-05-22 06:54:51,359 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,360 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.13018878 -0.13621415  0.04452749 ... -0.20180611 -0.18411049
  -0.13947794]
 [-0.00278276 -0...
[ 2021-05-22 06:54:51,360 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,360 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_11
[ 2021-05-22 06:54:51,361 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,361 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,361 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.13018878 -0.13621415  0.04452749 ... -0.20180611 -0.18411049
  -0.13947794]
 [-0.00278276 -0...
[ 2021-05-22 06:54:51,362 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,362 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.13018878 -0.13621415  0.04452749 ... -0.20180611 -0.18411049
  -0.13947794]
 [-0.00278276 -0...
[ 2021-05-22 06:54:51,363 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,363 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_101
[ 2021-05-22 06:54:51,363 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,363 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,363 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,364 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.01732502 -0.07200515  0.08491747 ...  0.02459686 -0.14450698
  -0.04310687]
 [ 0.02556159 -0...
[ 2021-05-22 06:54:51,364 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,364 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_101
[ 2021-05-22 06:54:51,364 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,364 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,365 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.01732502 -0.07200515  0.08491747 ...  0.02459686 -0.14450698
  -0.04310687]
 [ 0.02556159 -0...
[ 2021-05-22 06:54:51,365 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,366 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.01732502 -0.07200515  0.08491747 ...  0.02459686 -0.14450698
  -0.04310687]
 [ 0.02556159 -0...
[ 2021-05-22 06:54:51,366 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,366 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_10
[ 2021-05-22 06:54:51,367 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,367 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,367 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.01732502 -0.07200515  0.08491747 ...  0.02459686 -0.14450698
  -0.04310687]
 [ 0.02556159 -0...
[ 2021-05-22 06:54:51,368 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,368 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.01732502 -0.07200515  0.08491747 ...  0.02459686 -0.14450698
  -0.04310687]
 [ 0.02556159 -0...
[ 2021-05-22 06:54:51,369 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,369 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_100
[ 2021-05-22 06:54:51,369 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,369 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,369 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,370 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.08507922 -0.08054118  0.01663852 ... -0.09662037 -0.01948383
  -0.08098164]
 [-0.00696228 -0...
[ 2021-05-22 06:54:51,370 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,370 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_100
[ 2021-05-22 06:54:51,370 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,370 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,371 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.08507922 -0.08054118  0.01663852 ... -0.09662037 -0.01948383
  -0.08098164]
 [-0.00696228 -0...
[ 2021-05-22 06:54:51,371 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,372 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.08507922 -0.08054118  0.01663852 ... -0.09662037 -0.01948383
  -0.08098164]
 [-0.00696228 -0...
[ 2021-05-22 06:54:51,372 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,373 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_9
[ 2021-05-22 06:54:51,373 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,373 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,373 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.08507922 -0.08054118  0.01663852 ... -0.09662037 -0.01948383
  -0.08098164]
 [-0.00696228 -0...
[ 2021-05-22 06:54:51,374 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,375 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.08507922 -0.08054118  0.01663852 ... -0.09662037 -0.01948383
  -0.08098164]
 [-0.00696228 -0...
[ 2021-05-22 06:54:51,375 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,375 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_99
[ 2021-05-22 06:54:51,375 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,375 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,375 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,376 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.05477864 -0.00131066 -0.14048082 ... -0.19165525 -0.05933636
  -0.00221938]
 [-0.03402153 -0...
[ 2021-05-22 06:54:51,376 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,376 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_99
[ 2021-05-22 06:54:51,376 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,376 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,377 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.05477864 -0.00131066 -0.14048082 ... -0.19165525 -0.05933636
  -0.00221938]
 [-0.03402153 -0...
[ 2021-05-22 06:54:51,377 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,378 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.05477864 -0.00131066 -0.14048082 ... -0.19165525 -0.05933636
  -0.00221938]
 [-0.03402153 -0...
[ 2021-05-22 06:54:51,378 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,378 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_8
[ 2021-05-22 06:54:51,378 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,379 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,379 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.05477864 -0.00131066 -0.14048082 ... -0.19165525 -0.05933636
  -0.00221938]
 [-0.03402153 -0...
[ 2021-05-22 06:54:51,380 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,380 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.05477864 -0.00131066 -0.14048082 ... -0.19165525 -0.05933636
  -0.00221938]
 [-0.03402153 -0...
[ 2021-05-22 06:54:51,381 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,381 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_98
[ 2021-05-22 06:54:51,381 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,381 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,381 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,382 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.10599077  0.11965928  0.10642162 ...  0.18119347  0.19788396
  -0.0154348 ]
 [ 0.03393567 -0...
[ 2021-05-22 06:54:51,382 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,382 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_98
[ 2021-05-22 06:54:51,382 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,382 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,383 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.10599077  0.11965928  0.10642162 ...  0.18119347  0.19788396
  -0.0154348 ]
 [ 0.03393567 -0...
[ 2021-05-22 06:54:51,384 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,384 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.10599077  0.11965928  0.10642162 ...  0.18119347  0.19788396
  -0.0154348 ]
 [ 0.03393567 -0...
[ 2021-05-22 06:54:51,384 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,385 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_7
[ 2021-05-22 06:54:51,385 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,385 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,386 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.10599077  0.11965928  0.10642162 ...  0.18119347  0.19788396
  -0.0154348 ]
 [ 0.03393567 -0...
[ 2021-05-22 06:54:51,386 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,387 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.10599077  0.11965928  0.10642162 ...  0.18119347  0.19788396
  -0.0154348 ]
 [ 0.03393567 -0...
[ 2021-05-22 06:54:51,387 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,387 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_97
[ 2021-05-22 06:54:51,387 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,387 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,387 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,388 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.06150777 -0.04923876  0.10758246 ...  0.2442289   0.02415042
   0.21365981]
 [-0.06235131  0...
[ 2021-05-22 06:54:51,388 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,388 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_97
[ 2021-05-22 06:54:51,388 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,388 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,389 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.06150777 -0.04923876  0.10758246 ...  0.2442289   0.02415042
   0.21365981]
 [-0.06235131  0...
[ 2021-05-22 06:54:51,390 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,390 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.06150777 -0.04923876  0.10758246 ...  0.2442289   0.02415042
   0.21365981]
 [-0.06235131  0...
[ 2021-05-22 06:54:51,390 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,391 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_6
[ 2021-05-22 06:54:51,391 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,391 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,391 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.06150777 -0.04923876  0.10758246 ...  0.2442289   0.02415042
   0.21365981]
 [-0.06235131  0...
[ 2021-05-22 06:54:51,392 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,393 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.06150777 -0.04923876  0.10758246 ...  0.2442289   0.02415042
   0.21365981]
 [-0.06235131  0...
[ 2021-05-22 06:54:51,393 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,393 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_96
[ 2021-05-22 06:54:51,393 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,393 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,393 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,394 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.13111882 -0.1750946  -0.00269598 ... -0.06638378 -0.03547066
  -0.04043902]
 [ 0.11327513  0...
[ 2021-05-22 06:54:51,394 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,394 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_96
[ 2021-05-22 06:54:51,394 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,394 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,395 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.13111882 -0.1750946  -0.00269598 ... -0.06638378 -0.03547066
  -0.04043902]
 [ 0.11327513  0...
[ 2021-05-22 06:54:51,395 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,396 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.13111882 -0.1750946  -0.00269598 ... -0.06638378 -0.03547066
  -0.04043902]
 [ 0.11327513  0...
[ 2021-05-22 06:54:51,396 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,396 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_5
[ 2021-05-22 06:54:51,397 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,397 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,397 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.13111882 -0.1750946  -0.00269598 ... -0.06638378 -0.03547066
  -0.04043902]
 [ 0.11327513  0...
[ 2021-05-22 06:54:51,398 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,399 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.13111882 -0.1750946  -0.00269598 ... -0.06638378 -0.03547066
  -0.04043902]
 [ 0.11327513  0...
[ 2021-05-22 06:54:51,399 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,399 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_95
[ 2021-05-22 06:54:51,399 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,399 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,399 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,400 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.08178113  0.1651258  -0.05071144 ...  0.02085919  0.02012556
  -0.03731446]
 [-0.0303595  -0...
[ 2021-05-22 06:54:51,400 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,400 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_95
[ 2021-05-22 06:54:51,400 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,400 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,401 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.08178113  0.1651258  -0.05071144 ...  0.02085919  0.02012556
  -0.03731446]
 [-0.0303595  -0...
[ 2021-05-22 06:54:51,401 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,402 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.08178113  0.1651258  -0.05071144 ...  0.02085919  0.02012556
  -0.03731446]
 [-0.0303595  -0...
[ 2021-05-22 06:54:51,402 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,402 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_4
[ 2021-05-22 06:54:51,403 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,403 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,403 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.08178113  0.1651258  -0.05071144 ...  0.02085919  0.02012556
  -0.03731446]
 [-0.0303595  -0...
[ 2021-05-22 06:54:51,404 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,404 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.08178113  0.1651258  -0.05071144 ...  0.02085919  0.02012556
  -0.03731446]
 [-0.0303595  -0...
[ 2021-05-22 06:54:51,405 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,405 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_94
[ 2021-05-22 06:54:51,405 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,405 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,405 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,406 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.13826731 -0.30415118 -0.23199026 ... -0.24220255 -0.05412434
   0.04862652]
 [ 0.18032186 -0...
[ 2021-05-22 06:54:51,406 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,406 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_94
[ 2021-05-22 06:54:51,406 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,406 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,407 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.13826731 -0.30415118 -0.23199026 ... -0.24220255 -0.05412434
   0.04862652]
 [ 0.18032186 -0...
[ 2021-05-22 06:54:51,407 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,408 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.13826731 -0.30415118 -0.23199026 ... -0.24220255 -0.05412434
   0.04862652]
 [ 0.18032186 -0...
[ 2021-05-22 06:54:51,408 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,408 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_3
[ 2021-05-22 06:54:51,408 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,409 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,409 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.13826731 -0.30415118 -0.23199026 ... -0.24220255 -0.05412434
   0.04862652]
 [ 0.18032186 -0...
[ 2021-05-22 06:54:51,410 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,410 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.13826731 -0.30415118 -0.23199026 ... -0.24220255 -0.05412434
   0.04862652]
 [ 0.18032186 -0...
[ 2021-05-22 06:54:51,411 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,411 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_93
[ 2021-05-22 06:54:51,411 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,411 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,411 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,412 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.04962081 -0.3786893  -0.06837413 ... -0.23032811 -0.04035692
  -0.01425828]
 [-0.05672095 -0...
[ 2021-05-22 06:54:51,412 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,412 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_93
[ 2021-05-22 06:54:51,412 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,412 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,413 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.04962081 -0.3786893  -0.06837413 ... -0.23032811 -0.04035692
  -0.01425828]
 [-0.05672095 -0...
[ 2021-05-22 06:54:51,413 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,414 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.04962081 -0.3786893  -0.06837413 ... -0.23032811 -0.04035692
  -0.01425828]
 [-0.05672095 -0...
[ 2021-05-22 06:54:51,414 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,414 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_2
[ 2021-05-22 06:54:51,415 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,415 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,415 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[-0.04962081 -0.3786893  -0.06837413 ... -0.23032811 -0.04035692
  -0.01425828]
 [-0.05672095 -0...
[ 2021-05-22 06:54:51,416 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,416 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[-0.04962081 -0.3786893  -0.06837413 ... -0.23032811 -0.04035692
  -0.01425828]
 [-0.05672095 -0...
[ 2021-05-22 06:54:51,417 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,417 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_92
[ 2021-05-22 06:54:51,417 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,417 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,417 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,418 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.00868843  0.01740326  0.45756927 ...  0.31542432 -0.09416795
  -0.03642428]
 [-0.10729355  0...
[ 2021-05-22 06:54:51,418 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,418 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_92
[ 2021-05-22 06:54:51,418 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,418 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,419 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.00868843  0.01740326  0.45756927 ...  0.31542432 -0.09416795
  -0.03642428]
 [-0.10729355  0...
[ 2021-05-22 06:54:51,419 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,420 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.00868843  0.01740326  0.45756927 ...  0.31542432 -0.09416795
  -0.03642428]
 [-0.10729355  0...
[ 2021-05-22 06:54:51,420 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,420 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp_1
[ 2021-05-22 06:54:51,420 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,420 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,421 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.00868843  0.01740326  0.45756927 ...  0.31542432 -0.09416795
  -0.03642428]
 [-0.10729355  0...
[ 2021-05-22 06:54:51,422 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,422 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.00868843  0.01740326  0.45756927 ...  0.31542432 -0.09416795
  -0.03642428]
 [-0.10729355  0...
[ 2021-05-22 06:54:51,423 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,423 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_91
[ 2021-05-22 06:54:51,423 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,423 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,423 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,424 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.16141756  0.00501891  0.0340167  ...  0.05596129  0.03864377
  -0.1510621 ]
 [-0.02045406  0...
[ 2021-05-22 06:54:51,424 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,424 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_91
[ 2021-05-22 06:54:51,424 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,424 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,425 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.16141756  0.00501891  0.0340167  ...  0.05596129  0.03864377
  -0.1510621 ]
 [-0.02045406  0...
[ 2021-05-22 06:54:51,425 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,426 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.16141756  0.00501891  0.0340167  ...  0.05596129  0.03864377
  -0.1510621 ]
 [-0.02045406  0...
[ 2021-05-22 06:54:51,426 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,426 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat/ReadVariableOp
[ 2021-05-22 06:54:51,426 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,426 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,427 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.16141756  0.00501891  0.0340167  ...  0.05596129  0.03864377
  -0.1510621 ]
 [-0.02045406  0...
[ 2021-05-22 06:54:51,428 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,428 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 512], value = [[ 0.16141756  0.00501891  0.0340167  ...  0.05596129  0.03864377
  -0.1510621 ]
 [-0.02045406  0...
[ 2021-05-22 06:54:51,428 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,429 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel/ConcatPartitions/concat
[ 2021-05-22 06:54:51,429 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2021-05-22 06:54:51,429 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,429 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 512], value = [[ 0.16141756  0.00501891  0.0340167  ...  0.05596129  0.03864377
  -0.1510621 ]
 [-0.02045406  0...
[ 2021-05-22 06:54:51,430 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 11 512], value = [[ 0.00868843  0.01740326  0.45756927 ...  0.31542432 -0.09416795
  -0.03642428]
 [-0.10729355  0...
[ 2021-05-22 06:54:51,431 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [ 11 512], value = [[-0.04962081 -0.3786893  -0.06837413 ... -0.23032811 -0.04035692
  -0.01425828]
 [-0.05672095 -0...
[ 2021-05-22 06:54:51,431 ] [ DEBUG ] [ infer:32 ]  input[3]: shape = [ 11 512], value = [[-0.13826731 -0.30415118 -0.23199026 ... -0.24220255 -0.05412434
   0.04862652]
 [ 0.18032186 -0...
[ 2021-05-22 06:54:51,432 ] [ DEBUG ] [ infer:32 ]  input[4]: shape = [ 11 512], value = [[-0.08178113  0.1651258  -0.05071144 ...  0.02085919  0.02012556
  -0.03731446]
 [-0.0303595  -0...
[ 2021-05-22 06:54:51,433 ] [ DEBUG ] [ infer:32 ]  input[5]: shape = [ 11 512], value = [[-0.13111882 -0.1750946  -0.00269598 ... -0.06638378 -0.03547066
  -0.04043902]
 [ 0.11327513  0...
[ 2021-05-22 06:54:51,433 ] [ DEBUG ] [ infer:32 ]  input[6]: shape = [ 11 512], value = [[ 0.06150777 -0.04923876  0.10758246 ...  0.2442289   0.02415042
   0.21365981]
 [-0.06235131  0...
[ 2021-05-22 06:54:51,434 ] [ DEBUG ] [ infer:32 ]  input[7]: shape = [ 11 512], value = [[-0.10599077  0.11965928  0.10642162 ...  0.18119347  0.19788396
  -0.0154348 ]
 [ 0.03393567 -0...
[ 2021-05-22 06:54:51,435 ] [ DEBUG ] [ infer:32 ]  input[8]: shape = [ 11 512], value = [[-0.05477864 -0.00131066 -0.14048082 ... -0.19165525 -0.05933636
  -0.00221938]
 [-0.03402153 -0...
[ 2021-05-22 06:54:51,435 ] [ DEBUG ] [ infer:32 ]  input[9]: shape = [ 11 512], value = [[ 0.08507922 -0.08054118  0.01663852 ... -0.09662037 -0.01948383
  -0.08098164]
 [-0.00696228 -0...
[ 2021-05-22 06:54:51,436 ] [ DEBUG ] [ infer:32 ]  input[10]: shape = [ 11 512], value = [[ 0.01732502 -0.07200515  0.08491747 ...  0.02459686 -0.14450698
  -0.04310687]
 [ 0.02556159 -0...
[ 2021-05-22 06:54:51,437 ] [ DEBUG ] [ infer:32 ]  input[11]: shape = [ 11 512], value = [[-0.13018878 -0.13621415  0.04452749 ... -0.20180611 -0.18411049
  -0.13947794]
 [-0.00278276 -0...
[ 2021-05-22 06:54:51,437 ] [ DEBUG ] [ infer:32 ]  input[12]: shape = [ 11 512], value = [[ 0.04927972 -0.04936677 -0.2238862  ...  0.06601808  0.11806929
  -0.03229956]
 [ 0.02291331  0...
[ 2021-05-22 06:54:51,438 ] [ DEBUG ] [ infer:32 ]  input[13]: shape = [ 11 512], value = [[-0.01109226 -0.05762618 -0.00508371 ... -0.01650664 -0.03462059
   0.02367272]
 [-0.03706771  0...
[ 2021-05-22 06:54:51,439 ] [ DEBUG ] [ infer:32 ]  input[14]: shape = [ 11 512], value = [[-0.07475015 -0.15573336 -0.00987778 ... -0.11142829 -0.05683535
  -0.0280351 ]
 [-0.02848352  0...
[ 2021-05-22 06:54:51,439 ] [ DEBUG ] [ infer:32 ]  input[15]: shape = [ 11 512], value = [[-0.01087361 -0.17964785  0.06092037 ...  0.1091027   0.02735617
  -0.01886284]
 [-0.01490027  0...
[ 2021-05-22 06:54:51,440 ] [ DEBUG ] [ infer:32 ]  input[16]: shape = [ 11 512], value = [[ 0.06641562  0.00128814  0.08210853 ...  0.09720787 -0.03885357
  -0.06744515]
 [-0.0037309  -0...
[ 2021-05-22 06:54:51,441 ] [ DEBUG ] [ infer:32 ]  input[17]: shape = [ 11 512], value = [[-0.01517063 -0.07683258  0.02281906 ... -0.08329212  0.02647398
  -0.11374938]
 [ 0.02337768 -0...
[ 2021-05-22 06:54:51,442 ] [ DEBUG ] [ infer:32 ]  input[18]: shape = [ 11 512], value = [[ 0.04665177  0.04354487  0.20458987 ...  0.2668227  -0.08490875
  -0.04223422]
 [-0.03911892 -0...
[ 2021-05-22 06:54:51,442 ] [ DEBUG ] [ infer:32 ]  input[19]: shape = [ 11 512], value = [[ 0.26745823 -0.21984531 -0.09374588 ...  0.32666877 -0.18664499
   0.00631228]
 [-0.06833666 -0...
[ 2021-05-22 06:54:51,443 ] [ DEBUG ] [ infer:32 ]  input[20]: shape = [ 10 512], value = [[-0.31264544  0.13301091  0.15056473 ...  0.2981817   0.25575548
   0.08380903]
 [ 0.08551361 -0...
[ 2021-05-22 06:54:51,444 ] [ DEBUG ] [ infer:32 ]  input[21]: shape = [ 10 512], value = [[-0.01908728 -0.11180095 -0.04383465 ...  0.16930312 -0.01348369
   0.02826381]
 [ 0.04809818 -0...
[ 2021-05-22 06:54:51,444 ] [ DEBUG ] [ infer:32 ]  input[22]: shape = [ 10 512], value = [[ 0.10719275 -0.21359341 -0.0554831  ...  0.02668575 -0.0974145
  -0.03540429]
 [ 0.00168875  0....
[ 2021-05-22 06:54:51,445 ] [ DEBUG ] [ infer:32 ]  input[23]: shape = [ 10 512], value = [[ 0.04400014 -0.23353526 -0.22595136 ...  0.02211934 -0.06110158
   0.06340721]
 [-0.3303996   0...
[ 2021-05-22 06:54:51,446 ] [ DEBUG ] [ infer:32 ]  input[24]: shape = [ 10 512], value = [[-0.08818635 -0.1092617   0.12426523 ... -0.16426057  0.04749683
  -0.00500811]
 [ 0.03308409 -0...
[ 2021-05-22 06:54:51,446 ] [ DEBUG ] [ infer:32 ]  input[25]: shape = [ 10 512], value = [[-0.02506118 -0.02075425  0.12236023 ... -0.08329309 -0.03931167
  -0.0082801 ]
 [-0.09529801 -0...
[ 2021-05-22 06:54:51,447 ] [ DEBUG ] [ infer:32 ]  input[26]: shape = [ 10 512], value = [[ 0.20891343  0.01262897 -0.08490023 ... -0.03912835  0.26477733
   0.14972368]
 [-0.05250107  0...
[ 2021-05-22 06:54:51,448 ] [ DEBUG ] [ infer:32 ]  input[27]: shape = [ 10 512], value = [[ 0.01845275 -0.24738096  0.11112192 ... -0.03369876  0.07732112
  -0.17348696]
 [-0.08717667  0...
[ 2021-05-22 06:54:51,448 ] [ DEBUG ] [ infer:32 ]  input[28]: shape = [ 10 512], value = [[-0.06104134 -0.10444725  0.11247779 ... -0.02238279 -0.07156565
  -0.01796314]
 [-0.11570065 -0...
[ 2021-05-22 06:54:51,449 ] [ DEBUG ] [ infer:32 ]  input[29]: shape = [ 10 512], value = [[ 3.64719005e-03  2.37091288e-01  6.97780669e-01 ... -2.61160165e-01
  -8.80270824e-02  1.875041...
[ 2021-05-22 06:54:51,449 ] [ DEBUG ] [ infer:32 ]  input[30]: shape = [], value = 0
[ 2021-05-22 06:54:51,456 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,457 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [320 512], value = [[ 0.16141756  0.00501891  0.0340167  ...  0.05596129  0.03864377
  -0.1510621 ]
 [-0.02045406  0...
[ 2021-05-22 06:54:51,457 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,457 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_2/dense/kernel
[ 2021-05-22 06:54:51,457 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,457 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,458 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [320 512], value = [[ 0.16141756  0.00501891  0.0340167  ...  0.05596129  0.03864377
  -0.1510621 ]
 [-0.02045406  0...
[ 2021-05-22 06:54:51,458 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,459 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [320 512], value = [[ 0.16141756  0.00501891  0.0340167  ...  0.05596129  0.03864377
  -0.1510621 ]
 [-0.02045406  0...
[ 2021-05-22 06:54:51,459 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,459 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/axis
[ 2021-05-22 06:54:51,460 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,460 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,460 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,460 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,460 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,460 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_90
[ 2021-05-22 06:54:51,460 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,460 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,461 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,461 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.00832225  0.07137561 -0.03683286 ... -0.01941158 -0.11882707
   0.06605957]
 [-0.09793118 -0...
[ 2021-05-22 06:54:51,462 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,462 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_90
[ 2021-05-22 06:54:51,462 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,462 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,462 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.00832225  0.07137561 -0.03683286 ... -0.01941158 -0.11882707
   0.06605957]
 [-0.09793118 -0...
[ 2021-05-22 06:54:51,463 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,464 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.00832225  0.07137561 -0.03683286 ... -0.01941158 -0.11882707
   0.06605957]
 [-0.09793118 -0...
[ 2021-05-22 06:54:51,464 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,464 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_29
[ 2021-05-22 06:54:51,464 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,464 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,465 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.00832225  0.07137561 -0.03683286 ... -0.01941158 -0.11882707
   0.06605957]
 [-0.09793118 -0...
[ 2021-05-22 06:54:51,465 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,466 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.00832225  0.07137561 -0.03683286 ... -0.01941158 -0.11882707
   0.06605957]
 [-0.09793118 -0...
[ 2021-05-22 06:54:51,466 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,466 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_89
[ 2021-05-22 06:54:51,466 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,466 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,466 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,467 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.0021834   0.04756154 -0.02494934 ... -0.07695482 -0.00592786
  -0.00426989]
 [ 0.14836627  0...
[ 2021-05-22 06:54:51,467 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,467 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_89
[ 2021-05-22 06:54:51,467 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,467 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,468 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.0021834   0.04756154 -0.02494934 ... -0.07695482 -0.00592786
  -0.00426989]
 [ 0.14836627  0...
[ 2021-05-22 06:54:51,468 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,469 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.0021834   0.04756154 -0.02494934 ... -0.07695482 -0.00592786
  -0.00426989]
 [ 0.14836627  0...
[ 2021-05-22 06:54:51,469 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,469 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_28
[ 2021-05-22 06:54:51,469 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,469 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,470 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.0021834   0.04756154 -0.02494934 ... -0.07695482 -0.00592786
  -0.00426989]
 [ 0.14836627  0...
[ 2021-05-22 06:54:51,470 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,471 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.0021834   0.04756154 -0.02494934 ... -0.07695482 -0.00592786
  -0.00426989]
 [ 0.14836627  0...
[ 2021-05-22 06:54:51,471 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,471 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_88
[ 2021-05-22 06:54:51,471 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,471 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,472 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,472 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.03990781 -0.10065575 -0.00298735 ...  0.02597478 -0.06933557
  -0.03128246]
 [ 0.10339784  0...
[ 2021-05-22 06:54:51,472 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,473 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_88
[ 2021-05-22 06:54:51,473 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,473 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,473 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.03990781 -0.10065575 -0.00298735 ...  0.02597478 -0.06933557
  -0.03128246]
 [ 0.10339784  0...
[ 2021-05-22 06:54:51,474 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,474 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.03990781 -0.10065575 -0.00298735 ...  0.02597478 -0.06933557
  -0.03128246]
 [ 0.10339784  0...
[ 2021-05-22 06:54:51,474 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,475 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_27
[ 2021-05-22 06:54:51,475 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,475 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,475 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.03990781 -0.10065575 -0.00298735 ...  0.02597478 -0.06933557
  -0.03128246]
 [ 0.10339784  0...
[ 2021-05-22 06:54:51,476 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,476 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.03990781 -0.10065575 -0.00298735 ...  0.02597478 -0.06933557
  -0.03128246]
 [ 0.10339784  0...
[ 2021-05-22 06:54:51,476 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,477 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_87
[ 2021-05-22 06:54:51,477 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,477 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,477 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,477 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.01493542 -0.0439187  -0.0081369  ...  0.0244596   0.01906335
   0.05358324]
 [ 0.05743302  0...
[ 2021-05-22 06:54:51,478 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,478 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_87
[ 2021-05-22 06:54:51,478 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,478 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,478 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.01493542 -0.0439187  -0.0081369  ...  0.0244596   0.01906335
   0.05358324]
 [ 0.05743302  0...
[ 2021-05-22 06:54:51,479 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,479 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.01493542 -0.0439187  -0.0081369  ...  0.0244596   0.01906335
   0.05358324]
 [ 0.05743302  0...
[ 2021-05-22 06:54:51,480 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,480 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_26
[ 2021-05-22 06:54:51,480 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,480 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,480 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.01493542 -0.0439187  -0.0081369  ...  0.0244596   0.01906335
   0.05358324]
 [ 0.05743302  0...
[ 2021-05-22 06:54:51,481 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,481 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.01493542 -0.0439187  -0.0081369  ...  0.0244596   0.01906335
   0.05358324]
 [ 0.05743302  0...
[ 2021-05-22 06:54:51,482 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,482 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_86
[ 2021-05-22 06:54:51,482 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,482 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,482 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,483 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.09908616 -0.12293027 -0.05945918 ... -0.09087599 -0.07804816
  -0.01795345]
 [ 0.10128954 -0...
[ 2021-05-22 06:54:51,483 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,483 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_86
[ 2021-05-22 06:54:51,483 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,483 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,484 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.09908616 -0.12293027 -0.05945918 ... -0.09087599 -0.07804816
  -0.01795345]
 [ 0.10128954 -0...
[ 2021-05-22 06:54:51,484 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,485 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.09908616 -0.12293027 -0.05945918 ... -0.09087599 -0.07804816
  -0.01795345]
 [ 0.10128954 -0...
[ 2021-05-22 06:54:51,485 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,485 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_25
[ 2021-05-22 06:54:51,485 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,485 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,486 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.09908616 -0.12293027 -0.05945918 ... -0.09087599 -0.07804816
  -0.01795345]
 [ 0.10128954 -0...
[ 2021-05-22 06:54:51,486 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,487 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.09908616 -0.12293027 -0.05945918 ... -0.09087599 -0.07804816
  -0.01795345]
 [ 0.10128954 -0...
[ 2021-05-22 06:54:51,487 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,487 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_85
[ 2021-05-22 06:54:51,487 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,487 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,487 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,488 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.0227003   0.05816144 -0.01804585 ... -0.1346389   0.05674197
   0.02218429]
 [-0.01300308 -0...
[ 2021-05-22 06:54:51,488 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,488 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_85
[ 2021-05-22 06:54:51,488 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,488 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,489 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.0227003   0.05816144 -0.01804585 ... -0.1346389   0.05674197
   0.02218429]
 [-0.01300308 -0...
[ 2021-05-22 06:54:51,489 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,490 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.0227003   0.05816144 -0.01804585 ... -0.1346389   0.05674197
   0.02218429]
 [-0.01300308 -0...
[ 2021-05-22 06:54:51,490 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,490 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_24
[ 2021-05-22 06:54:51,490 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,490 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,491 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.0227003   0.05816144 -0.01804585 ... -0.1346389   0.05674197
   0.02218429]
 [-0.01300308 -0...
[ 2021-05-22 06:54:51,491 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,492 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.0227003   0.05816144 -0.01804585 ... -0.1346389   0.05674197
   0.02218429]
 [-0.01300308 -0...
[ 2021-05-22 06:54:51,492 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,492 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_84
[ 2021-05-22 06:54:51,492 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,492 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,492 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,493 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.11470956  0.05946913 -0.09786559 ... -0.11308245 -0.0970789
  -0.01893225]
 [ 0.02404609  0....
[ 2021-05-22 06:54:51,493 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,493 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_84
[ 2021-05-22 06:54:51,493 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,493 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,494 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.11470956  0.05946913 -0.09786559 ... -0.11308245 -0.0970789
  -0.01893225]
 [ 0.02404609  0....
[ 2021-05-22 06:54:51,494 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,495 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.11470956  0.05946913 -0.09786559 ... -0.11308245 -0.0970789
  -0.01893225]
 [ 0.02404609  0....
[ 2021-05-22 06:54:51,495 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,495 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_23
[ 2021-05-22 06:54:51,495 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,495 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,496 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.11470956  0.05946913 -0.09786559 ... -0.11308245 -0.0970789
  -0.01893225]
 [ 0.02404609  0....
[ 2021-05-22 06:54:51,496 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,497 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.11470956  0.05946913 -0.09786559 ... -0.11308245 -0.0970789
  -0.01893225]
 [ 0.02404609  0....
[ 2021-05-22 06:54:51,497 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,497 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_83
[ 2021-05-22 06:54:51,497 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,497 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,497 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,498 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.16633452  0.05494575 -0.04258008 ... -0.06606242 -0.00482423
   0.09915141]
 [-0.01698221 -0...
[ 2021-05-22 06:54:51,498 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,498 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_83
[ 2021-05-22 06:54:51,498 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,498 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,499 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.16633452  0.05494575 -0.04258008 ... -0.06606242 -0.00482423
   0.09915141]
 [-0.01698221 -0...
[ 2021-05-22 06:54:51,499 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,500 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.16633452  0.05494575 -0.04258008 ... -0.06606242 -0.00482423
   0.09915141]
 [-0.01698221 -0...
[ 2021-05-22 06:54:51,500 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,500 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_22
[ 2021-05-22 06:54:51,500 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,500 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,501 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.16633452  0.05494575 -0.04258008 ... -0.06606242 -0.00482423
   0.09915141]
 [-0.01698221 -0...
[ 2021-05-22 06:54:51,501 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,502 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.16633452  0.05494575 -0.04258008 ... -0.06606242 -0.00482423
   0.09915141]
 [-0.01698221 -0...
[ 2021-05-22 06:54:51,502 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,502 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_82
[ 2021-05-22 06:54:51,502 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,502 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,502 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,503 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.1724243   0.03737507  0.09436699 ... -0.00644262 -0.18063818
   0.07368575]
 [ 0.03042181 -0...
[ 2021-05-22 06:54:51,503 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,503 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_82
[ 2021-05-22 06:54:51,503 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,503 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,504 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.1724243   0.03737507  0.09436699 ... -0.00644262 -0.18063818
   0.07368575]
 [ 0.03042181 -0...
[ 2021-05-22 06:54:51,504 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,505 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.1724243   0.03737507  0.09436699 ... -0.00644262 -0.18063818
   0.07368575]
 [ 0.03042181 -0...
[ 2021-05-22 06:54:51,505 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,505 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_21
[ 2021-05-22 06:54:51,505 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,505 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,506 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.1724243   0.03737507  0.09436699 ... -0.00644262 -0.18063818
   0.07368575]
 [ 0.03042181 -0...
[ 2021-05-22 06:54:51,506 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,507 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.1724243   0.03737507  0.09436699 ... -0.00644262 -0.18063818
   0.07368575]
 [ 0.03042181 -0...
[ 2021-05-22 06:54:51,507 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,507 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_81
[ 2021-05-22 06:54:51,507 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,507 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,507 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,508 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.11547576 -0.00062439 -0.04236414 ...  0.02169577 -0.01282172
   0.01307952]
 [-0.03146783  0...
[ 2021-05-22 06:54:51,508 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,508 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_81
[ 2021-05-22 06:54:51,508 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,508 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,509 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.11547576 -0.00062439 -0.04236414 ...  0.02169577 -0.01282172
   0.01307952]
 [-0.03146783  0...
[ 2021-05-22 06:54:51,509 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,510 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.11547576 -0.00062439 -0.04236414 ...  0.02169577 -0.01282172
   0.01307952]
 [-0.03146783  0...
[ 2021-05-22 06:54:51,510 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,510 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_20
[ 2021-05-22 06:54:51,510 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,510 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,511 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.11547576 -0.00062439 -0.04236414 ...  0.02169577 -0.01282172
   0.01307952]
 [-0.03146783  0...
[ 2021-05-22 06:54:51,511 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,512 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.11547576 -0.00062439 -0.04236414 ...  0.02169577 -0.01282172
   0.01307952]
 [-0.03146783  0...
[ 2021-05-22 06:54:51,512 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,512 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_80
[ 2021-05-22 06:54:51,512 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,512 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,512 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,513 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.08286383  0.07242513  0.04245362 ... -0.02813818 -0.03782959
   0.04091417]
 [-0.07952198  0...
[ 2021-05-22 06:54:51,513 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,513 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_80
[ 2021-05-22 06:54:51,513 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,513 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,514 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.08286383  0.07242513  0.04245362 ... -0.02813818 -0.03782959
   0.04091417]
 [-0.07952198  0...
[ 2021-05-22 06:54:51,514 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,515 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.08286383  0.07242513  0.04245362 ... -0.02813818 -0.03782959
   0.04091417]
 [-0.07952198  0...
[ 2021-05-22 06:54:51,515 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,515 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_19
[ 2021-05-22 06:54:51,515 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,515 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,516 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.08286383  0.07242513  0.04245362 ... -0.02813818 -0.03782959
   0.04091417]
 [-0.07952198  0...
[ 2021-05-22 06:54:51,516 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,517 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.08286383  0.07242513  0.04245362 ... -0.02813818 -0.03782959
   0.04091417]
 [-0.07952198  0...
[ 2021-05-22 06:54:51,518 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,518 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_79
[ 2021-05-22 06:54:51,518 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,518 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,518 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,519 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.06304807  0.01500302 -0.06312275 ... -0.07586064  0.0023393
   0.03741572]
 [ 0.05951704 -0....
[ 2021-05-22 06:54:51,519 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,519 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_79
[ 2021-05-22 06:54:51,519 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,519 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,520 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.06304807  0.01500302 -0.06312275 ... -0.07586064  0.0023393
   0.03741572]
 [ 0.05951704 -0....
[ 2021-05-22 06:54:51,520 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,521 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.06304807  0.01500302 -0.06312275 ... -0.07586064  0.0023393
   0.03741572]
 [ 0.05951704 -0....
[ 2021-05-22 06:54:51,521 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,521 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_18
[ 2021-05-22 06:54:51,521 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,521 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,522 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.06304807  0.01500302 -0.06312275 ... -0.07586064  0.0023393
   0.03741572]
 [ 0.05951704 -0....
[ 2021-05-22 06:54:51,522 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,523 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.06304807  0.01500302 -0.06312275 ... -0.07586064  0.0023393
   0.03741572]
 [ 0.05951704 -0....
[ 2021-05-22 06:54:51,523 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,523 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_78
[ 2021-05-22 06:54:51,523 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,523 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,524 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,525 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.02598671  0.02851449 -0.08591595 ...  0.02218141  0.00225652
   0.05297849]
 [-0.02107821 -0...
[ 2021-05-22 06:54:51,525 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,525 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_78
[ 2021-05-22 06:54:51,525 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,525 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,526 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.02598671  0.02851449 -0.08591595 ...  0.02218141  0.00225652
   0.05297849]
 [-0.02107821 -0...
[ 2021-05-22 06:54:51,526 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,527 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.02598671  0.02851449 -0.08591595 ...  0.02218141  0.00225652
   0.05297849]
 [-0.02107821 -0...
[ 2021-05-22 06:54:51,527 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,527 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_17
[ 2021-05-22 06:54:51,527 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,527 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,528 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.02598671  0.02851449 -0.08591595 ...  0.02218141  0.00225652
   0.05297849]
 [-0.02107821 -0...
[ 2021-05-22 06:54:51,528 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,529 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.02598671  0.02851449 -0.08591595 ...  0.02218141  0.00225652
   0.05297849]
 [-0.02107821 -0...
[ 2021-05-22 06:54:51,529 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,529 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_77
[ 2021-05-22 06:54:51,529 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,529 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,530 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,530 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.06780893 -0.01963433 -0.0331161  ...  0.04336075  0.00448158
  -0.03211161]
 [-0.06626227  0...
[ 2021-05-22 06:54:51,530 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,531 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_77
[ 2021-05-22 06:54:51,531 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,531 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,531 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.06780893 -0.01963433 -0.0331161  ...  0.04336075  0.00448158
  -0.03211161]
 [-0.06626227  0...
[ 2021-05-22 06:54:51,532 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,532 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.06780893 -0.01963433 -0.0331161  ...  0.04336075  0.00448158
  -0.03211161]
 [-0.06626227  0...
[ 2021-05-22 06:54:51,532 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,533 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_16
[ 2021-05-22 06:54:51,533 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,533 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,533 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.06780893 -0.01963433 -0.0331161  ...  0.04336075  0.00448158
  -0.03211161]
 [-0.06626227  0...
[ 2021-05-22 06:54:51,534 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,534 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.06780893 -0.01963433 -0.0331161  ...  0.04336075  0.00448158
  -0.03211161]
 [-0.06626227  0...
[ 2021-05-22 06:54:51,534 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,535 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_76
[ 2021-05-22 06:54:51,535 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,535 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,535 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,535 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.01732763  0.0524165  -0.00861897 ...  0.05353509  0.03263811
  -0.10133985]
 [-0.0628012   0...
[ 2021-05-22 06:54:51,536 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,536 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_76
[ 2021-05-22 06:54:51,536 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,536 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,536 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.01732763  0.0524165  -0.00861897 ...  0.05353509  0.03263811
  -0.10133985]
 [-0.0628012   0...
[ 2021-05-22 06:54:51,537 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,537 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.01732763  0.0524165  -0.00861897 ...  0.05353509  0.03263811
  -0.10133985]
 [-0.0628012   0...
[ 2021-05-22 06:54:51,538 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,538 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_15
[ 2021-05-22 06:54:51,538 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,538 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,538 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.01732763  0.0524165  -0.00861897 ...  0.05353509  0.03263811
  -0.10133985]
 [-0.0628012   0...
[ 2021-05-22 06:54:51,539 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,539 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.01732763  0.0524165  -0.00861897 ...  0.05353509  0.03263811
  -0.10133985]
 [-0.0628012   0...
[ 2021-05-22 06:54:51,539 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,540 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_75
[ 2021-05-22 06:54:51,540 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,540 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,540 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,540 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 8.7330274e-02 -3.0390222e-02 -4.5783226e-03 ...  6.3237078e-02
   2.2715838e-03  5.9102684e-02...
[ 2021-05-22 06:54:51,541 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,541 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_75
[ 2021-05-22 06:54:51,541 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,541 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,542 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 8.7330274e-02 -3.0390222e-02 -4.5783226e-03 ...  6.3237078e-02
   2.2715838e-03  5.9102684e-02...
[ 2021-05-22 06:54:51,542 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,543 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 8.7330274e-02 -3.0390222e-02 -4.5783226e-03 ...  6.3237078e-02
   2.2715838e-03  5.9102684e-02...
[ 2021-05-22 06:54:51,543 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,543 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_14
[ 2021-05-22 06:54:51,543 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,543 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,544 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 8.7330274e-02 -3.0390222e-02 -4.5783226e-03 ...  6.3237078e-02
   2.2715838e-03  5.9102684e-02...
[ 2021-05-22 06:54:51,544 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,545 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 8.7330274e-02 -3.0390222e-02 -4.5783226e-03 ...  6.3237078e-02
   2.2715838e-03  5.9102684e-02...
[ 2021-05-22 06:54:51,545 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,545 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_74
[ 2021-05-22 06:54:51,545 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,545 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,546 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,546 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.10360477 -0.08200174 -0.05935942 ... -0.02151628 -0.03862704
  -0.02095284]
 [-0.04427073  0...
[ 2021-05-22 06:54:51,547 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,547 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_74
[ 2021-05-22 06:54:51,547 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,547 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,548 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.10360477 -0.08200174 -0.05935942 ... -0.02151628 -0.03862704
  -0.02095284]
 [-0.04427073  0...
[ 2021-05-22 06:54:51,548 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,549 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.10360477 -0.08200174 -0.05935942 ... -0.02151628 -0.03862704
  -0.02095284]
 [-0.04427073  0...
[ 2021-05-22 06:54:51,549 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,549 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_13
[ 2021-05-22 06:54:51,549 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,549 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,550 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.10360477 -0.08200174 -0.05935942 ... -0.02151628 -0.03862704
  -0.02095284]
 [-0.04427073  0...
[ 2021-05-22 06:54:51,550 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,551 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.10360477 -0.08200174 -0.05935942 ... -0.02151628 -0.03862704
  -0.02095284]
 [-0.04427073  0...
[ 2021-05-22 06:54:51,551 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,551 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_73
[ 2021-05-22 06:54:51,551 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,551 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,551 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,552 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.09482663 -0.04360161  0.03847722 ... -0.08642027 -0.00022253
  -0.04500509]
 [ 0.0453462  -0...
[ 2021-05-22 06:54:51,552 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,552 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_73
[ 2021-05-22 06:54:51,552 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,552 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,553 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.09482663 -0.04360161  0.03847722 ... -0.08642027 -0.00022253
  -0.04500509]
 [ 0.0453462  -0...
[ 2021-05-22 06:54:51,553 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,554 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.09482663 -0.04360161  0.03847722 ... -0.08642027 -0.00022253
  -0.04500509]
 [ 0.0453462  -0...
[ 2021-05-22 06:54:51,554 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,554 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_12
[ 2021-05-22 06:54:51,554 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,554 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,555 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.09482663 -0.04360161  0.03847722 ... -0.08642027 -0.00022253
  -0.04500509]
 [ 0.0453462  -0...
[ 2021-05-22 06:54:51,555 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,556 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.09482663 -0.04360161  0.03847722 ... -0.08642027 -0.00022253
  -0.04500509]
 [ 0.0453462  -0...
[ 2021-05-22 06:54:51,556 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,556 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_72
[ 2021-05-22 06:54:51,556 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,556 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,556 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,557 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.02394329  0.00016655 -0.15394248 ...  0.0514764  -0.01235152
  -0.08784535]
 [-0.04956834 -0...
[ 2021-05-22 06:54:51,557 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,557 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_72
[ 2021-05-22 06:54:51,557 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,557 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,558 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.02394329  0.00016655 -0.15394248 ...  0.0514764  -0.01235152
  -0.08784535]
 [-0.04956834 -0...
[ 2021-05-22 06:54:51,558 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,559 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.02394329  0.00016655 -0.15394248 ...  0.0514764  -0.01235152
  -0.08784535]
 [-0.04956834 -0...
[ 2021-05-22 06:54:51,559 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,559 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_11
[ 2021-05-22 06:54:51,559 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,559 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,560 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.02394329  0.00016655 -0.15394248 ...  0.0514764  -0.01235152
  -0.08784535]
 [-0.04956834 -0...
[ 2021-05-22 06:54:51,560 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,561 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.02394329  0.00016655 -0.15394248 ...  0.0514764  -0.01235152
  -0.08784535]
 [-0.04956834 -0...
[ 2021-05-22 06:54:51,561 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,561 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_71
[ 2021-05-22 06:54:51,561 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,561 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,562 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,562 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.10168863 -0.03139685  0.06316509 ...  0.1623839  -0.04106724
   0.12856062]
 [ 0.03497877 -0...
[ 2021-05-22 06:54:51,562 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,563 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_71
[ 2021-05-22 06:54:51,563 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,563 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,563 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.10168863 -0.03139685  0.06316509 ...  0.1623839  -0.04106724
   0.12856062]
 [ 0.03497877 -0...
[ 2021-05-22 06:54:51,564 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,564 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.10168863 -0.03139685  0.06316509 ...  0.1623839  -0.04106724
   0.12856062]
 [ 0.03497877 -0...
[ 2021-05-22 06:54:51,565 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,565 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_10
[ 2021-05-22 06:54:51,565 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,565 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,565 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.10168863 -0.03139685  0.06316509 ...  0.1623839  -0.04106724
   0.12856062]
 [ 0.03497877 -0...
[ 2021-05-22 06:54:51,566 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,566 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.10168863 -0.03139685  0.06316509 ...  0.1623839  -0.04106724
   0.12856062]
 [ 0.03497877 -0...
[ 2021-05-22 06:54:51,567 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,567 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_70
[ 2021-05-22 06:54:51,567 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,567 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,567 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,568 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.01996454  0.11638894  0.0854706  ... -0.19629304 -0.14298423
   0.04483994]
 [-0.14972766 -0...
[ 2021-05-22 06:54:51,568 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,568 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_70
[ 2021-05-22 06:54:51,568 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,568 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,569 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.01996454  0.11638894  0.0854706  ... -0.19629304 -0.14298423
   0.04483994]
 [-0.14972766 -0...
[ 2021-05-22 06:54:51,569 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,570 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.01996454  0.11638894  0.0854706  ... -0.19629304 -0.14298423
   0.04483994]
 [-0.14972766 -0...
[ 2021-05-22 06:54:51,570 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,570 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_9
[ 2021-05-22 06:54:51,570 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,570 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,571 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.01996454  0.11638894  0.0854706  ... -0.19629304 -0.14298423
   0.04483994]
 [-0.14972766 -0...
[ 2021-05-22 06:54:51,571 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,572 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.01996454  0.11638894  0.0854706  ... -0.19629304 -0.14298423
   0.04483994]
 [-0.14972766 -0...
[ 2021-05-22 06:54:51,572 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,572 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_69
[ 2021-05-22 06:54:51,572 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,572 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,572 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,573 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.04078048 -0.08906568 -0.12144159 ...  0.05022501 -0.09022858
  -0.1276185 ]
 [-0.01005942 -0...
[ 2021-05-22 06:54:51,573 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,573 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_69
[ 2021-05-22 06:54:51,573 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,573 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,574 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.04078048 -0.08906568 -0.12144159 ...  0.05022501 -0.09022858
  -0.1276185 ]
 [-0.01005942 -0...
[ 2021-05-22 06:54:51,574 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,575 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.04078048 -0.08906568 -0.12144159 ...  0.05022501 -0.09022858
  -0.1276185 ]
 [-0.01005942 -0...
[ 2021-05-22 06:54:51,575 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,575 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_8
[ 2021-05-22 06:54:51,575 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,575 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,576 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.04078048 -0.08906568 -0.12144159 ...  0.05022501 -0.09022858
  -0.1276185 ]
 [-0.01005942 -0...
[ 2021-05-22 06:54:51,576 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,577 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.04078048 -0.08906568 -0.12144159 ...  0.05022501 -0.09022858
  -0.1276185 ]
 [-0.01005942 -0...
[ 2021-05-22 06:54:51,577 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,577 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_68
[ 2021-05-22 06:54:51,577 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,577 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,578 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,578 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.2373992   0.07420438 -0.15205233 ... -0.11493926  0.10153683
  -0.02306198]
 [-0.10771709  0...
[ 2021-05-22 06:54:51,578 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,578 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_68
[ 2021-05-22 06:54:51,578 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,579 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,579 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.2373992   0.07420438 -0.15205233 ... -0.11493926  0.10153683
  -0.02306198]
 [-0.10771709  0...
[ 2021-05-22 06:54:51,580 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,580 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.2373992   0.07420438 -0.15205233 ... -0.11493926  0.10153683
  -0.02306198]
 [-0.10771709  0...
[ 2021-05-22 06:54:51,581 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,581 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_7
[ 2021-05-22 06:54:51,581 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,581 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,582 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.2373992   0.07420438 -0.15205233 ... -0.11493926  0.10153683
  -0.02306198]
 [-0.10771709  0...
[ 2021-05-22 06:54:51,582 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,583 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.2373992   0.07420438 -0.15205233 ... -0.11493926  0.10153683
  -0.02306198]
 [-0.10771709  0...
[ 2021-05-22 06:54:51,584 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,584 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_67
[ 2021-05-22 06:54:51,584 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,584 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,584 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,585 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.05711746  0.02529615  0.03762087 ...  0.08656777  0.01453982
   0.08544705]
 [-0.01054165  0...
[ 2021-05-22 06:54:51,585 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,585 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_67
[ 2021-05-22 06:54:51,585 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,585 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,586 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.05711746  0.02529615  0.03762087 ...  0.08656777  0.01453982
   0.08544705]
 [-0.01054165  0...
[ 2021-05-22 06:54:51,586 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,587 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.05711746  0.02529615  0.03762087 ...  0.08656777  0.01453982
   0.08544705]
 [-0.01054165  0...
[ 2021-05-22 06:54:51,587 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,587 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_6
[ 2021-05-22 06:54:51,587 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,587 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,588 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.05711746  0.02529615  0.03762087 ...  0.08656777  0.01453982
   0.08544705]
 [-0.01054165  0...
[ 2021-05-22 06:54:51,589 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,589 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.05711746  0.02529615  0.03762087 ...  0.08656777  0.01453982
   0.08544705]
 [-0.01054165  0...
[ 2021-05-22 06:54:51,589 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,590 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_66
[ 2021-05-22 06:54:51,590 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,590 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,590 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,591 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.0682869   0.11454198  0.03487916 ... -0.01403445 -0.06770138
   0.01700336]
 [ 0.04899692  0...
[ 2021-05-22 06:54:51,591 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,591 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_66
[ 2021-05-22 06:54:51,591 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,591 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,592 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.0682869   0.11454198  0.03487916 ... -0.01403445 -0.06770138
   0.01700336]
 [ 0.04899692  0...
[ 2021-05-22 06:54:51,592 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,593 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.0682869   0.11454198  0.03487916 ... -0.01403445 -0.06770138
   0.01700336]
 [ 0.04899692  0...
[ 2021-05-22 06:54:51,593 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,593 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_5
[ 2021-05-22 06:54:51,593 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,593 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,594 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.0682869   0.11454198  0.03487916 ... -0.01403445 -0.06770138
   0.01700336]
 [ 0.04899692  0...
[ 2021-05-22 06:54:51,594 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,595 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.0682869   0.11454198  0.03487916 ... -0.01403445 -0.06770138
   0.01700336]
 [ 0.04899692  0...
[ 2021-05-22 06:54:51,595 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,595 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_65
[ 2021-05-22 06:54:51,595 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,595 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,596 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,596 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.10956095 -0.05654999  0.0377572  ... -0.03573271  0.10802993
  -0.1324861 ]
 [-0.0117486   0...
[ 2021-05-22 06:54:51,597 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,597 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_65
[ 2021-05-22 06:54:51,597 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,597 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,597 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.10956095 -0.05654999  0.0377572  ... -0.03573271  0.10802993
  -0.1324861 ]
 [-0.0117486   0...
[ 2021-05-22 06:54:51,598 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,599 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.10956095 -0.05654999  0.0377572  ... -0.03573271  0.10802993
  -0.1324861 ]
 [-0.0117486   0...
[ 2021-05-22 06:54:51,599 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,599 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_4
[ 2021-05-22 06:54:51,599 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,599 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,600 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.10956095 -0.05654999  0.0377572  ... -0.03573271  0.10802993
  -0.1324861 ]
 [-0.0117486   0...
[ 2021-05-22 06:54:51,600 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,601 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.10956095 -0.05654999  0.0377572  ... -0.03573271  0.10802993
  -0.1324861 ]
 [-0.0117486   0...
[ 2021-05-22 06:54:51,601 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,601 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_64
[ 2021-05-22 06:54:51,601 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,601 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,601 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,602 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.05673771  0.06159661  0.05293038 ... -0.04152143 -0.00382828
   0.02785069]
 [-0.00558051  0...
[ 2021-05-22 06:54:51,602 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,602 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_64
[ 2021-05-22 06:54:51,602 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,602 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,603 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.05673771  0.06159661  0.05293038 ... -0.04152143 -0.00382828
   0.02785069]
 [-0.00558051  0...
[ 2021-05-22 06:54:51,604 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,604 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.05673771  0.06159661  0.05293038 ... -0.04152143 -0.00382828
   0.02785069]
 [-0.00558051  0...
[ 2021-05-22 06:54:51,604 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,604 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_3
[ 2021-05-22 06:54:51,604 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,604 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,605 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.05673771  0.06159661  0.05293038 ... -0.04152143 -0.00382828
   0.02785069]
 [-0.00558051  0...
[ 2021-05-22 06:54:51,605 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,606 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.05673771  0.06159661  0.05293038 ... -0.04152143 -0.00382828
   0.02785069]
 [-0.00558051  0...
[ 2021-05-22 06:54:51,607 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,607 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_63
[ 2021-05-22 06:54:51,607 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,607 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,607 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,607 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.07914438  0.0416308  -0.00507529 ... -0.04817162 -0.0799821
  -0.04364309]
 [-0.0062093   0....
[ 2021-05-22 06:54:51,608 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,608 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_63
[ 2021-05-22 06:54:51,608 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,608 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,608 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.07914438  0.0416308  -0.00507529 ... -0.04817162 -0.0799821
  -0.04364309]
 [-0.0062093   0....
[ 2021-05-22 06:54:51,609 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,610 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.07914438  0.0416308  -0.00507529 ... -0.04817162 -0.0799821
  -0.04364309]
 [-0.0062093   0....
[ 2021-05-22 06:54:51,610 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,610 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_2
[ 2021-05-22 06:54:51,610 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,610 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,611 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.07914438  0.0416308  -0.00507529 ... -0.04817162 -0.0799821
  -0.04364309]
 [-0.0062093   0....
[ 2021-05-22 06:54:51,611 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,612 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.07914438  0.0416308  -0.00507529 ... -0.04817162 -0.0799821
  -0.04364309]
 [-0.0062093   0....
[ 2021-05-22 06:54:51,612 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,612 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_62
[ 2021-05-22 06:54:51,612 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,612 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,612 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,613 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.00778076 -0.01930994  0.02451079 ...  0.04476782 -0.05029314
  -0.09055554]
 [ 0.08390483  0...
[ 2021-05-22 06:54:51,613 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,613 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_62
[ 2021-05-22 06:54:51,613 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,613 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,614 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.00778076 -0.01930994  0.02451079 ...  0.04476782 -0.05029314
  -0.09055554]
 [ 0.08390483  0...
[ 2021-05-22 06:54:51,614 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,615 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.00778076 -0.01930994  0.02451079 ...  0.04476782 -0.05029314
  -0.09055554]
 [ 0.08390483  0...
[ 2021-05-22 06:54:51,615 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,615 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp_1
[ 2021-05-22 06:54:51,615 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,615 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,616 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.00778076 -0.01930994  0.02451079 ...  0.04476782 -0.05029314
  -0.09055554]
 [ 0.08390483  0...
[ 2021-05-22 06:54:51,616 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,617 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.00778076 -0.01930994  0.02451079 ...  0.04476782 -0.05029314
  -0.09055554]
 [ 0.08390483  0...
[ 2021-05-22 06:54:51,617 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,617 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_61
[ 2021-05-22 06:54:51,617 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,617 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,617 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,618 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.05791013 -0.04573601  0.06427546 ... -0.07442328 -0.13303675
  -0.12609944]
 [ 0.03367181  0...
[ 2021-05-22 06:54:51,618 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,618 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_61
[ 2021-05-22 06:54:51,618 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,618 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,619 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.05791013 -0.04573601  0.06427546 ... -0.07442328 -0.13303675
  -0.12609944]
 [ 0.03367181  0...
[ 2021-05-22 06:54:51,619 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,620 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.05791013 -0.04573601  0.06427546 ... -0.07442328 -0.13303675
  -0.12609944]
 [ 0.03367181  0...
[ 2021-05-22 06:54:51,620 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,620 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat/ReadVariableOp
[ 2021-05-22 06:54:51,620 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,620 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,621 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.05791013 -0.04573601  0.06427546 ... -0.07442328 -0.13303675
  -0.12609944]
 [ 0.03367181  0...
[ 2021-05-22 06:54:51,621 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,622 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.05791013 -0.04573601  0.06427546 ... -0.07442328 -0.13303675
  -0.12609944]
 [ 0.03367181  0...
[ 2021-05-22 06:54:51,622 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,622 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel/ConcatPartitions/concat
[ 2021-05-22 06:54:51,622 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2021-05-22 06:54:51,622 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,623 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.05791013 -0.04573601  0.06427546 ... -0.07442328 -0.13303675
  -0.12609944]
 [ 0.03367181  0...
[ 2021-05-22 06:54:51,624 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 11 320], value = [[ 0.00778076 -0.01930994  0.02451079 ...  0.04476782 -0.05029314
  -0.09055554]
 [ 0.08390483  0...
[ 2021-05-22 06:54:51,624 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [ 11 320], value = [[-0.07914438  0.0416308  -0.00507529 ... -0.04817162 -0.0799821
  -0.04364309]
 [-0.0062093   0....
[ 2021-05-22 06:54:51,625 ] [ DEBUG ] [ infer:32 ]  input[3]: shape = [ 11 320], value = [[-0.05673771  0.06159661  0.05293038 ... -0.04152143 -0.00382828
   0.02785069]
 [-0.00558051  0...
[ 2021-05-22 06:54:51,626 ] [ DEBUG ] [ infer:32 ]  input[4]: shape = [ 11 320], value = [[ 0.10956095 -0.05654999  0.0377572  ... -0.03573271  0.10802993
  -0.1324861 ]
 [-0.0117486   0...
[ 2021-05-22 06:54:51,626 ] [ DEBUG ] [ infer:32 ]  input[5]: shape = [ 11 320], value = [[-0.0682869   0.11454198  0.03487916 ... -0.01403445 -0.06770138
   0.01700336]
 [ 0.04899692  0...
[ 2021-05-22 06:54:51,627 ] [ DEBUG ] [ infer:32 ]  input[6]: shape = [ 11 320], value = [[ 0.05711746  0.02529615  0.03762087 ...  0.08656777  0.01453982
   0.08544705]
 [-0.01054165  0...
[ 2021-05-22 06:54:51,627 ] [ DEBUG ] [ infer:32 ]  input[7]: shape = [ 11 320], value = [[-0.2373992   0.07420438 -0.15205233 ... -0.11493926  0.10153683
  -0.02306198]
 [-0.10771709  0...
[ 2021-05-22 06:54:51,628 ] [ DEBUG ] [ infer:32 ]  input[8]: shape = [ 11 320], value = [[ 0.04078048 -0.08906568 -0.12144159 ...  0.05022501 -0.09022858
  -0.1276185 ]
 [-0.01005942 -0...
[ 2021-05-22 06:54:51,628 ] [ DEBUG ] [ infer:32 ]  input[9]: shape = [ 11 320], value = [[-0.01996454  0.11638894  0.0854706  ... -0.19629304 -0.14298423
   0.04483994]
 [-0.14972766 -0...
[ 2021-05-22 06:54:51,629 ] [ DEBUG ] [ infer:32 ]  input[10]: shape = [ 11 320], value = [[-0.10168863 -0.03139685  0.06316509 ...  0.1623839  -0.04106724
   0.12856062]
 [ 0.03497877 -0...
[ 2021-05-22 06:54:51,630 ] [ DEBUG ] [ infer:32 ]  input[11]: shape = [ 11 320], value = [[ 0.02394329  0.00016655 -0.15394248 ...  0.0514764  -0.01235152
  -0.08784535]
 [-0.04956834 -0...
[ 2021-05-22 06:54:51,630 ] [ DEBUG ] [ infer:32 ]  input[12]: shape = [ 11 320], value = [[-0.09482663 -0.04360161  0.03847722 ... -0.08642027 -0.00022253
  -0.04500509]
 [ 0.0453462  -0...
[ 2021-05-22 06:54:51,631 ] [ DEBUG ] [ infer:32 ]  input[13]: shape = [ 11 320], value = [[-0.10360477 -0.08200174 -0.05935942 ... -0.02151628 -0.03862704
  -0.02095284]
 [-0.04427073  0...
[ 2021-05-22 06:54:51,631 ] [ DEBUG ] [ infer:32 ]  input[14]: shape = [ 11 320], value = [[ 8.7330274e-02 -3.0390222e-02 -4.5783226e-03 ...  6.3237078e-02
   2.2715838e-03  5.9102684e-02...
[ 2021-05-22 06:54:51,632 ] [ DEBUG ] [ infer:32 ]  input[15]: shape = [ 11 320], value = [[ 0.01732763  0.0524165  -0.00861897 ...  0.05353509  0.03263811
  -0.10133985]
 [-0.0628012   0...
[ 2021-05-22 06:54:51,633 ] [ DEBUG ] [ infer:32 ]  input[16]: shape = [ 11 320], value = [[ 0.06780893 -0.01963433 -0.0331161  ...  0.04336075  0.00448158
  -0.03211161]
 [-0.06626227  0...
[ 2021-05-22 06:54:51,633 ] [ DEBUG ] [ infer:32 ]  input[17]: shape = [ 11 320], value = [[-0.02598671  0.02851449 -0.08591595 ...  0.02218141  0.00225652
   0.05297849]
 [-0.02107821 -0...
[ 2021-05-22 06:54:51,634 ] [ DEBUG ] [ infer:32 ]  input[18]: shape = [ 11 320], value = [[-0.06304807  0.01500302 -0.06312275 ... -0.07586064  0.0023393
   0.03741572]
 [ 0.05951704 -0....
[ 2021-05-22 06:54:51,634 ] [ DEBUG ] [ infer:32 ]  input[19]: shape = [ 11 320], value = [[-0.08286383  0.07242513  0.04245362 ... -0.02813818 -0.03782959
   0.04091417]
 [-0.07952198  0...
[ 2021-05-22 06:54:51,635 ] [ DEBUG ] [ infer:32 ]  input[20]: shape = [ 10 320], value = [[-0.11547576 -0.00062439 -0.04236414 ...  0.02169577 -0.01282172
   0.01307952]
 [-0.03146783  0...
[ 2021-05-22 06:54:51,636 ] [ DEBUG ] [ infer:32 ]  input[21]: shape = [ 10 320], value = [[ 0.1724243   0.03737507  0.09436699 ... -0.00644262 -0.18063818
   0.07368575]
 [ 0.03042181 -0...
[ 2021-05-22 06:54:51,636 ] [ DEBUG ] [ infer:32 ]  input[22]: shape = [ 10 320], value = [[ 0.16633452  0.05494575 -0.04258008 ... -0.06606242 -0.00482423
   0.09915141]
 [-0.01698221 -0...
[ 2021-05-22 06:54:51,637 ] [ DEBUG ] [ infer:32 ]  input[23]: shape = [ 10 320], value = [[-0.11470956  0.05946913 -0.09786559 ... -0.11308245 -0.0970789
  -0.01893225]
 [ 0.02404609  0....
[ 2021-05-22 06:54:51,637 ] [ DEBUG ] [ infer:32 ]  input[24]: shape = [ 10 320], value = [[ 0.0227003   0.05816144 -0.01804585 ... -0.1346389   0.05674197
   0.02218429]
 [-0.01300308 -0...
[ 2021-05-22 06:54:51,638 ] [ DEBUG ] [ infer:32 ]  input[25]: shape = [ 10 320], value = [[ 0.09908616 -0.12293027 -0.05945918 ... -0.09087599 -0.07804816
  -0.01795345]
 [ 0.10128954 -0...
[ 2021-05-22 06:54:51,639 ] [ DEBUG ] [ infer:32 ]  input[26]: shape = [ 10 320], value = [[-0.01493542 -0.0439187  -0.0081369  ...  0.0244596   0.01906335
   0.05358324]
 [ 0.05743302  0...
[ 2021-05-22 06:54:51,639 ] [ DEBUG ] [ infer:32 ]  input[27]: shape = [ 10 320], value = [[-0.03990781 -0.10065575 -0.00298735 ...  0.02597478 -0.06933557
  -0.03128246]
 [ 0.10339784  0...
[ 2021-05-22 06:54:51,640 ] [ DEBUG ] [ infer:32 ]  input[28]: shape = [ 10 320], value = [[-0.0021834   0.04756154 -0.02494934 ... -0.07695482 -0.00592786
  -0.00426989]
 [ 0.14836627  0...
[ 2021-05-22 06:54:51,640 ] [ DEBUG ] [ infer:32 ]  input[29]: shape = [ 10 320], value = [[-0.00832225  0.07137561 -0.03683286 ... -0.01941158 -0.11882707
   0.06605957]
 [-0.09793118 -0...
[ 2021-05-22 06:54:51,640 ] [ DEBUG ] [ infer:32 ]  input[30]: shape = [], value = 0
[ 2021-05-22 06:54:51,647 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,648 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [320 320], value = [[ 0.05791013 -0.04573601  0.06427546 ... -0.07442328 -0.13303675
  -0.12609944]
 [ 0.03367181  0...
[ 2021-05-22 06:54:51,648 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,648 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_1/dense/kernel
[ 2021-05-22 06:54:51,648 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,648 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,649 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [320 320], value = [[ 0.05791013 -0.04573601  0.06427546 ... -0.07442328 -0.13303675
  -0.12609944]
 [ 0.03367181  0...
[ 2021-05-22 06:54:51,650 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,650 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [320 320], value = [[ 0.05791013 -0.04573601  0.06427546 ... -0.07442328 -0.13303675
  -0.12609944]
 [ 0.03367181  0...
[ 2021-05-22 06:54:51,651 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,651 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/axis
[ 2021-05-22 06:54:51,651 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,651 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,651 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,651 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,651 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,651 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_60
[ 2021-05-22 06:54:51,651 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,651 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,652 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,652 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.02271294  0.31023088  0.18056497 ... -0.02213871 -0.02401957
  -0.17814378]
 [ 0.20132463 -0...
[ 2021-05-22 06:54:51,653 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,653 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_60
[ 2021-05-22 06:54:51,653 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,653 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,653 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.02271294  0.31023088  0.18056497 ... -0.02213871 -0.02401957
  -0.17814378]
 [ 0.20132463 -0...
[ 2021-05-22 06:54:51,654 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,654 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.02271294  0.31023088  0.18056497 ... -0.02213871 -0.02401957
  -0.17814378]
 [ 0.20132463 -0...
[ 2021-05-22 06:54:51,655 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,655 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_29
[ 2021-05-22 06:54:51,655 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,655 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,655 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.02271294  0.31023088  0.18056497 ... -0.02213871 -0.02401957
  -0.17814378]
 [ 0.20132463 -0...
[ 2021-05-22 06:54:51,656 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,656 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.02271294  0.31023088  0.18056497 ... -0.02213871 -0.02401957
  -0.17814378]
 [ 0.20132463 -0...
[ 2021-05-22 06:54:51,657 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,657 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_59
[ 2021-05-22 06:54:51,657 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,657 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,657 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,658 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.0887795   0.534046    0.00075458 ...  0.23777975 -0.07285393
  -0.1305951 ]
 [ 0.24702823  0...
[ 2021-05-22 06:54:51,658 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,658 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_59
[ 2021-05-22 06:54:51,658 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,658 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,659 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.0887795   0.534046    0.00075458 ...  0.23777975 -0.07285393
  -0.1305951 ]
 [ 0.24702823  0...
[ 2021-05-22 06:54:51,659 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,660 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.0887795   0.534046    0.00075458 ...  0.23777975 -0.07285393
  -0.1305951 ]
 [ 0.24702823  0...
[ 2021-05-22 06:54:51,660 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,660 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_28
[ 2021-05-22 06:54:51,660 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,660 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,661 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.0887795   0.534046    0.00075458 ...  0.23777975 -0.07285393
  -0.1305951 ]
 [ 0.24702823  0...
[ 2021-05-22 06:54:51,661 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,662 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.0887795   0.534046    0.00075458 ...  0.23777975 -0.07285393
  -0.1305951 ]
 [ 0.24702823  0...
[ 2021-05-22 06:54:51,662 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,662 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_58
[ 2021-05-22 06:54:51,662 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,662 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,662 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,663 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.227953    0.26528895  0.11925025 ...  0.14127474 -0.04508559
   0.0608699 ]
 [ 0.05685366  0...
[ 2021-05-22 06:54:51,663 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,663 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_58
[ 2021-05-22 06:54:51,663 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,663 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,664 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.227953    0.26528895  0.11925025 ...  0.14127474 -0.04508559
   0.0608699 ]
 [ 0.05685366  0...
[ 2021-05-22 06:54:51,664 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,665 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.227953    0.26528895  0.11925025 ...  0.14127474 -0.04508559
   0.0608699 ]
 [ 0.05685366  0...
[ 2021-05-22 06:54:51,665 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,665 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_27
[ 2021-05-22 06:54:51,665 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,665 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,666 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.227953    0.26528895  0.11925025 ...  0.14127474 -0.04508559
   0.0608699 ]
 [ 0.05685366  0...
[ 2021-05-22 06:54:51,666 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,667 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.227953    0.26528895  0.11925025 ...  0.14127474 -0.04508559
   0.0608699 ]
 [ 0.05685366  0...
[ 2021-05-22 06:54:51,667 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,667 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_57
[ 2021-05-22 06:54:51,667 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,667 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,668 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,668 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.148123   -0.09968162 -0.249882   ... -0.03626082  0.07050233
  -0.02657982]
 [ 0.03439327  0...
[ 2021-05-22 06:54:51,669 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,669 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_57
[ 2021-05-22 06:54:51,669 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,669 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,670 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.148123   -0.09968162 -0.249882   ... -0.03626082  0.07050233
  -0.02657982]
 [ 0.03439327  0...
[ 2021-05-22 06:54:51,670 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,671 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.148123   -0.09968162 -0.249882   ... -0.03626082  0.07050233
  -0.02657982]
 [ 0.03439327  0...
[ 2021-05-22 06:54:51,671 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,671 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_26
[ 2021-05-22 06:54:51,671 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,671 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,672 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[-0.148123   -0.09968162 -0.249882   ... -0.03626082  0.07050233
  -0.02657982]
 [ 0.03439327  0...
[ 2021-05-22 06:54:51,672 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,673 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[-0.148123   -0.09968162 -0.249882   ... -0.03626082  0.07050233
  -0.02657982]
 [ 0.03439327  0...
[ 2021-05-22 06:54:51,673 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,673 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_56
[ 2021-05-22 06:54:51,673 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,673 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,674 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,674 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.0184828   0.04251276  0.09293672 ...  0.05962996 -0.07824787
   0.07801609]
 [ 0.18780367  0...
[ 2021-05-22 06:54:51,675 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,675 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_56
[ 2021-05-22 06:54:51,675 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,675 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,675 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.0184828   0.04251276  0.09293672 ...  0.05962996 -0.07824787
   0.07801609]
 [ 0.18780367  0...
[ 2021-05-22 06:54:51,676 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,677 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.0184828   0.04251276  0.09293672 ...  0.05962996 -0.07824787
   0.07801609]
 [ 0.18780367  0...
[ 2021-05-22 06:54:51,677 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,677 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_25
[ 2021-05-22 06:54:51,677 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,677 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,678 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.0184828   0.04251276  0.09293672 ...  0.05962996 -0.07824787
   0.07801609]
 [ 0.18780367  0...
[ 2021-05-22 06:54:51,678 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,679 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.0184828   0.04251276  0.09293672 ...  0.05962996 -0.07824787
   0.07801609]
 [ 0.18780367  0...
[ 2021-05-22 06:54:51,679 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,679 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_55
[ 2021-05-22 06:54:51,679 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,679 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,679 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,680 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 3.52287702e-02  6.98801652e-02 -8.20572227e-02 ...  3.85874161e-03
  -1.06575459e-01  1.235534...
[ 2021-05-22 06:54:51,680 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,680 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_55
[ 2021-05-22 06:54:51,681 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,681 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,681 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 3.52287702e-02  6.98801652e-02 -8.20572227e-02 ...  3.85874161e-03
  -1.06575459e-01  1.235534...
[ 2021-05-22 06:54:51,682 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,682 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 3.52287702e-02  6.98801652e-02 -8.20572227e-02 ...  3.85874161e-03
  -1.06575459e-01  1.235534...
[ 2021-05-22 06:54:51,683 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,683 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_24
[ 2021-05-22 06:54:51,683 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,683 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,684 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 3.52287702e-02  6.98801652e-02 -8.20572227e-02 ...  3.85874161e-03
  -1.06575459e-01  1.235534...
[ 2021-05-22 06:54:51,684 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,685 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 3.52287702e-02  6.98801652e-02 -8.20572227e-02 ...  3.85874161e-03
  -1.06575459e-01  1.235534...
[ 2021-05-22 06:54:51,685 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,685 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_54
[ 2021-05-22 06:54:51,685 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,685 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,686 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,686 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 1.53140619e-01  2.78439205e-02 -1.49911925e-01 ...  1.91232860e-01
  -1.06750354e-01  4.165266...
[ 2021-05-22 06:54:51,686 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,687 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_54
[ 2021-05-22 06:54:51,687 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,687 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,687 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 1.53140619e-01  2.78439205e-02 -1.49911925e-01 ...  1.91232860e-01
  -1.06750354e-01  4.165266...
[ 2021-05-22 06:54:51,688 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,688 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 1.53140619e-01  2.78439205e-02 -1.49911925e-01 ...  1.91232860e-01
  -1.06750354e-01  4.165266...
[ 2021-05-22 06:54:51,689 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,689 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_23
[ 2021-05-22 06:54:51,689 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,689 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,690 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 1.53140619e-01  2.78439205e-02 -1.49911925e-01 ...  1.91232860e-01
  -1.06750354e-01  4.165266...
[ 2021-05-22 06:54:51,690 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,691 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 1.53140619e-01  2.78439205e-02 -1.49911925e-01 ...  1.91232860e-01
  -1.06750354e-01  4.165266...
[ 2021-05-22 06:54:51,691 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,691 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_53
[ 2021-05-22 06:54:51,691 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,691 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,691 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,692 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.44452658  0.38962653  0.3625391  ...  0.21738388  0.01430673
   0.15867746]
 [-0.15410104  0...
[ 2021-05-22 06:54:51,692 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,692 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_53
[ 2021-05-22 06:54:51,692 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,692 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,693 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.44452658  0.38962653  0.3625391  ...  0.21738388  0.01430673
   0.15867746]
 [-0.15410104  0...
[ 2021-05-22 06:54:51,694 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,694 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.44452658  0.38962653  0.3625391  ...  0.21738388  0.01430673
   0.15867746]
 [-0.15410104  0...
[ 2021-05-22 06:54:51,694 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,695 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_22
[ 2021-05-22 06:54:51,695 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,695 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,695 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.44452658  0.38962653  0.3625391  ...  0.21738388  0.01430673
   0.15867746]
 [-0.15410104  0...
[ 2021-05-22 06:54:51,696 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,696 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.44452658  0.38962653  0.3625391  ...  0.21738388  0.01430673
   0.15867746]
 [-0.15410104  0...
[ 2021-05-22 06:54:51,697 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,697 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_52
[ 2021-05-22 06:54:51,697 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,697 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,697 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,698 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.10652368 -0.07601108  0.0598436  ...  0.01428676 -0.00516765
  -0.21365407]
 [ 0.22086065  0...
[ 2021-05-22 06:54:51,698 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,698 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_52
[ 2021-05-22 06:54:51,698 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,698 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,699 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.10652368 -0.07601108  0.0598436  ...  0.01428676 -0.00516765
  -0.21365407]
 [ 0.22086065  0...
[ 2021-05-22 06:54:51,700 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,700 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.10652368 -0.07601108  0.0598436  ...  0.01428676 -0.00516765
  -0.21365407]
 [ 0.22086065  0...
[ 2021-05-22 06:54:51,701 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,701 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_21
[ 2021-05-22 06:54:51,701 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,701 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,702 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.10652368 -0.07601108  0.0598436  ...  0.01428676 -0.00516765
  -0.21365407]
 [ 0.22086065  0...
[ 2021-05-22 06:54:51,702 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,703 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.10652368 -0.07601108  0.0598436  ...  0.01428676 -0.00516765
  -0.21365407]
 [ 0.22086065  0...
[ 2021-05-22 06:54:51,703 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,703 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_51
[ 2021-05-22 06:54:51,703 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,703 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,703 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,704 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.22259364  0.14308573 -0.14639883 ...  0.17809252  0.17435254
  -0.02878879]
 [ 0.08658066 -0...
[ 2021-05-22 06:54:51,704 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,704 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_51
[ 2021-05-22 06:54:51,704 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,704 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,705 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.22259364  0.14308573 -0.14639883 ...  0.17809252  0.17435254
  -0.02878879]
 [ 0.08658066 -0...
[ 2021-05-22 06:54:51,706 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,706 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.22259364  0.14308573 -0.14639883 ...  0.17809252  0.17435254
  -0.02878879]
 [ 0.08658066 -0...
[ 2021-05-22 06:54:51,706 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,707 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_20
[ 2021-05-22 06:54:51,707 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,707 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,707 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 10 320], value = [[ 0.22259364  0.14308573 -0.14639883 ...  0.17809252  0.17435254
  -0.02878879]
 [ 0.08658066 -0...
[ 2021-05-22 06:54:51,708 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,708 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 10 320], value = [[ 0.22259364  0.14308573 -0.14639883 ...  0.17809252  0.17435254
  -0.02878879]
 [ 0.08658066 -0...
[ 2021-05-22 06:54:51,709 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,709 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_50
[ 2021-05-22 06:54:51,709 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,709 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,709 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,710 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.05920603  0.10094754 -0.03455772 ...  0.04114834  0.13118957
   0.06499866]
 [ 0.31486553  0...
[ 2021-05-22 06:54:51,710 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,710 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_50
[ 2021-05-22 06:54:51,710 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,710 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,711 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.05920603  0.10094754 -0.03455772 ...  0.04114834  0.13118957
   0.06499866]
 [ 0.31486553  0...
[ 2021-05-22 06:54:51,711 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,712 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.05920603  0.10094754 -0.03455772 ...  0.04114834  0.13118957
   0.06499866]
 [ 0.31486553  0...
[ 2021-05-22 06:54:51,712 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,712 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_19
[ 2021-05-22 06:54:51,712 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,712 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,713 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.05920603  0.10094754 -0.03455772 ...  0.04114834  0.13118957
   0.06499866]
 [ 0.31486553  0...
[ 2021-05-22 06:54:51,713 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,714 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.05920603  0.10094754 -0.03455772 ...  0.04114834  0.13118957
   0.06499866]
 [ 0.31486553  0...
[ 2021-05-22 06:54:51,714 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,714 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_49
[ 2021-05-22 06:54:51,714 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,714 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,715 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,715 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.17077231  0.39903438 -0.0583661  ...  0.3109782  -0.03862865
   0.06446495]
 [-0.01973273  0...
[ 2021-05-22 06:54:51,715 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,715 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_49
[ 2021-05-22 06:54:51,716 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,716 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,716 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.17077231  0.39903438 -0.0583661  ...  0.3109782  -0.03862865
   0.06446495]
 [-0.01973273  0...
[ 2021-05-22 06:54:51,717 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,717 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.17077231  0.39903438 -0.0583661  ...  0.3109782  -0.03862865
   0.06446495]
 [-0.01973273  0...
[ 2021-05-22 06:54:51,717 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,718 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_18
[ 2021-05-22 06:54:51,718 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,718 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,718 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.17077231  0.39903438 -0.0583661  ...  0.3109782  -0.03862865
   0.06446495]
 [-0.01973273  0...
[ 2021-05-22 06:54:51,719 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,719 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.17077231  0.39903438 -0.0583661  ...  0.3109782  -0.03862865
   0.06446495]
 [-0.01973273  0...
[ 2021-05-22 06:54:51,720 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,720 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_48
[ 2021-05-22 06:54:51,720 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,720 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,720 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,721 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.16414873  0.3683287  -0.03459489 ...  0.27751097  0.08985128
   0.16330299]
 [ 0.12255698  0...
[ 2021-05-22 06:54:51,721 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,721 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_48
[ 2021-05-22 06:54:51,721 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,721 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,722 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.16414873  0.3683287  -0.03459489 ...  0.27751097  0.08985128
   0.16330299]
 [ 0.12255698  0...
[ 2021-05-22 06:54:51,722 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,723 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.16414873  0.3683287  -0.03459489 ...  0.27751097  0.08985128
   0.16330299]
 [ 0.12255698  0...
[ 2021-05-22 06:54:51,723 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,723 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_17
[ 2021-05-22 06:54:51,723 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,723 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,724 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.16414873  0.3683287  -0.03459489 ...  0.27751097  0.08985128
   0.16330299]
 [ 0.12255698  0...
[ 2021-05-22 06:54:51,724 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,725 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.16414873  0.3683287  -0.03459489 ...  0.27751097  0.08985128
   0.16330299]
 [ 0.12255698  0...
[ 2021-05-22 06:54:51,725 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,725 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_47
[ 2021-05-22 06:54:51,725 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,725 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,726 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,726 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.06674273  0.17695938 -0.07399206 ...  0.13159391  0.11641105
  -0.00604965]
 [-0.14772373  0...
[ 2021-05-22 06:54:51,726 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,726 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_47
[ 2021-05-22 06:54:51,727 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,727 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,727 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.06674273  0.17695938 -0.07399206 ...  0.13159391  0.11641105
  -0.00604965]
 [-0.14772373  0...
[ 2021-05-22 06:54:51,728 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,728 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.06674273  0.17695938 -0.07399206 ...  0.13159391  0.11641105
  -0.00604965]
 [-0.14772373  0...
[ 2021-05-22 06:54:51,729 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,729 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_16
[ 2021-05-22 06:54:51,729 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,729 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,729 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.06674273  0.17695938 -0.07399206 ...  0.13159391  0.11641105
  -0.00604965]
 [-0.14772373  0...
[ 2021-05-22 06:54:51,730 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,731 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.06674273  0.17695938 -0.07399206 ...  0.13159391  0.11641105
  -0.00604965]
 [-0.14772373  0...
[ 2021-05-22 06:54:51,731 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,731 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_46
[ 2021-05-22 06:54:51,731 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,731 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,731 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,732 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.13636203  0.5837368  -0.04849458 ...  0.248085   -0.06690222
  -0.0441837 ]
 [ 0.13440618  0...
[ 2021-05-22 06:54:51,732 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,732 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_46
[ 2021-05-22 06:54:51,732 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,732 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,733 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.13636203  0.5837368  -0.04849458 ...  0.248085   -0.06690222
  -0.0441837 ]
 [ 0.13440618  0...
[ 2021-05-22 06:54:51,733 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,734 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.13636203  0.5837368  -0.04849458 ...  0.248085   -0.06690222
  -0.0441837 ]
 [ 0.13440618  0...
[ 2021-05-22 06:54:51,734 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,734 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_15
[ 2021-05-22 06:54:51,734 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,734 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,735 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.13636203  0.5837368  -0.04849458 ...  0.248085   -0.06690222
  -0.0441837 ]
 [ 0.13440618  0...
[ 2021-05-22 06:54:51,736 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,736 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.13636203  0.5837368  -0.04849458 ...  0.248085   -0.06690222
  -0.0441837 ]
 [ 0.13440618  0...
[ 2021-05-22 06:54:51,736 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,737 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_45
[ 2021-05-22 06:54:51,737 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,737 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,737 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,738 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.17493449  0.43154243  0.4812889  ...  0.3615677   0.01707711
   0.06095578]
 [ 0.10126531  0...
[ 2021-05-22 06:54:51,738 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,738 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_45
[ 2021-05-22 06:54:51,738 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,738 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,739 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.17493449  0.43154243  0.4812889  ...  0.3615677   0.01707711
   0.06095578]
 [ 0.10126531  0...
[ 2021-05-22 06:54:51,739 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,740 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.17493449  0.43154243  0.4812889  ...  0.3615677   0.01707711
   0.06095578]
 [ 0.10126531  0...
[ 2021-05-22 06:54:51,740 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,740 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_14
[ 2021-05-22 06:54:51,740 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,740 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,741 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.17493449  0.43154243  0.4812889  ...  0.3615677   0.01707711
   0.06095578]
 [ 0.10126531  0...
[ 2021-05-22 06:54:51,742 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,742 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.17493449  0.43154243  0.4812889  ...  0.3615677   0.01707711
   0.06095578]
 [ 0.10126531  0...
[ 2021-05-22 06:54:51,742 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,742 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_44
[ 2021-05-22 06:54:51,743 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,743 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,743 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,743 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 1.4941010e-01  1.6113521e-01 -6.2295675e-02 ... -2.9297369e-02
  -4.6839185e-02 -1.2803265e-01...
[ 2021-05-22 06:54:51,744 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,744 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_44
[ 2021-05-22 06:54:51,744 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,744 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,745 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 1.4941010e-01  1.6113521e-01 -6.2295675e-02 ... -2.9297369e-02
  -4.6839185e-02 -1.2803265e-01...
[ 2021-05-22 06:54:51,745 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,746 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 1.4941010e-01  1.6113521e-01 -6.2295675e-02 ... -2.9297369e-02
  -4.6839185e-02 -1.2803265e-01...
[ 2021-05-22 06:54:51,746 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,746 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_13
[ 2021-05-22 06:54:51,746 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,746 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,747 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 1.4941010e-01  1.6113521e-01 -6.2295675e-02 ... -2.9297369e-02
  -4.6839185e-02 -1.2803265e-01...
[ 2021-05-22 06:54:51,747 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,748 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 1.4941010e-01  1.6113521e-01 -6.2295675e-02 ... -2.9297369e-02
  -4.6839185e-02 -1.2803265e-01...
[ 2021-05-22 06:54:51,748 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,748 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_43
[ 2021-05-22 06:54:51,748 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,748 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,748 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,749 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.056045    0.05268445 -0.16026312 ...  0.01572754  0.03336459
  -0.08152363]
 [-0.31251052  0...
[ 2021-05-22 06:54:51,749 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,749 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_43
[ 2021-05-22 06:54:51,749 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,750 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,750 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.056045    0.05268445 -0.16026312 ...  0.01572754  0.03336459
  -0.08152363]
 [-0.31251052  0...
[ 2021-05-22 06:54:51,751 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,751 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.056045    0.05268445 -0.16026312 ...  0.01572754  0.03336459
  -0.08152363]
 [-0.31251052  0...
[ 2021-05-22 06:54:51,751 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,752 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_12
[ 2021-05-22 06:54:51,752 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,752 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,752 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.056045    0.05268445 -0.16026312 ...  0.01572754  0.03336459
  -0.08152363]
 [-0.31251052  0...
[ 2021-05-22 06:54:51,753 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,753 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.056045    0.05268445 -0.16026312 ...  0.01572754  0.03336459
  -0.08152363]
 [-0.31251052  0...
[ 2021-05-22 06:54:51,754 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,754 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_42
[ 2021-05-22 06:54:51,754 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,754 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,754 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,755 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.09128318  0.37587366  0.00666187 ...  0.30037478  0.13718447
   0.14752534]
 [-0.1227077  -0...
[ 2021-05-22 06:54:51,755 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,755 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_42
[ 2021-05-22 06:54:51,755 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,755 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,756 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.09128318  0.37587366  0.00666187 ...  0.30037478  0.13718447
   0.14752534]
 [-0.1227077  -0...
[ 2021-05-22 06:54:51,756 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,757 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.09128318  0.37587366  0.00666187 ...  0.30037478  0.13718447
   0.14752534]
 [-0.1227077  -0...
[ 2021-05-22 06:54:51,757 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,757 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_11
[ 2021-05-22 06:54:51,757 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,757 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,758 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.09128318  0.37587366  0.00666187 ...  0.30037478  0.13718447
   0.14752534]
 [-0.1227077  -0...
[ 2021-05-22 06:54:51,758 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,759 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.09128318  0.37587366  0.00666187 ...  0.30037478  0.13718447
   0.14752534]
 [-0.1227077  -0...
[ 2021-05-22 06:54:51,759 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,759 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_41
[ 2021-05-22 06:54:51,759 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,759 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,760 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,760 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.05957457  0.19342728 -0.08003386 ...  0.2833701   0.08352688
   0.17121066]
 [-0.00919298  0...
[ 2021-05-22 06:54:51,760 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,760 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_41
[ 2021-05-22 06:54:51,761 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,761 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,761 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.05957457  0.19342728 -0.08003386 ...  0.2833701   0.08352688
   0.17121066]
 [-0.00919298  0...
[ 2021-05-22 06:54:51,762 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,763 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.05957457  0.19342728 -0.08003386 ...  0.2833701   0.08352688
   0.17121066]
 [-0.00919298  0...
[ 2021-05-22 06:54:51,763 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,763 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_10
[ 2021-05-22 06:54:51,763 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,763 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,764 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.05957457  0.19342728 -0.08003386 ...  0.2833701   0.08352688
   0.17121066]
 [-0.00919298  0...
[ 2021-05-22 06:54:51,764 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,765 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.05957457  0.19342728 -0.08003386 ...  0.2833701   0.08352688
   0.17121066]
 [-0.00919298  0...
[ 2021-05-22 06:54:51,765 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,765 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_40
[ 2021-05-22 06:54:51,766 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,766 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,766 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,767 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.09289669  0.16050544  0.22860074 ...  0.24401654  0.06347285
   0.22404243]
 [ 0.0475528  -0...
[ 2021-05-22 06:54:51,767 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,767 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_40
[ 2021-05-22 06:54:51,767 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,767 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,768 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.09289669  0.16050544  0.22860074 ...  0.24401654  0.06347285
   0.22404243]
 [ 0.0475528  -0...
[ 2021-05-22 06:54:51,768 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,769 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.09289669  0.16050544  0.22860074 ...  0.24401654  0.06347285
   0.22404243]
 [ 0.0475528  -0...
[ 2021-05-22 06:54:51,769 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,769 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_9
[ 2021-05-22 06:54:51,770 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,770 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,770 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.09289669  0.16050544  0.22860074 ...  0.24401654  0.06347285
   0.22404243]
 [ 0.0475528  -0...
[ 2021-05-22 06:54:51,771 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,771 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.09289669  0.16050544  0.22860074 ...  0.24401654  0.06347285
   0.22404243]
 [ 0.0475528  -0...
[ 2021-05-22 06:54:51,772 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,772 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_39
[ 2021-05-22 06:54:51,772 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,772 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,772 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,773 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.14899823  0.38829154 -0.02343853 ...  0.42646137  0.05264725
   0.2658189 ]
 [ 0.03935469  0...
[ 2021-05-22 06:54:51,773 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,773 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_39
[ 2021-05-22 06:54:51,773 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,773 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,774 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.14899823  0.38829154 -0.02343853 ...  0.42646137  0.05264725
   0.2658189 ]
 [ 0.03935469  0...
[ 2021-05-22 06:54:51,774 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,775 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.14899823  0.38829154 -0.02343853 ...  0.42646137  0.05264725
   0.2658189 ]
 [ 0.03935469  0...
[ 2021-05-22 06:54:51,775 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,775 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_8
[ 2021-05-22 06:54:51,775 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,775 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,776 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.14899823  0.38829154 -0.02343853 ...  0.42646137  0.05264725
   0.2658189 ]
 [ 0.03935469  0...
[ 2021-05-22 06:54:51,776 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,777 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.14899823  0.38829154 -0.02343853 ...  0.42646137  0.05264725
   0.2658189 ]
 [ 0.03935469  0...
[ 2021-05-22 06:54:51,777 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,777 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_38
[ 2021-05-22 06:54:51,778 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,778 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,778 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,778 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.03155121  0.19173826 -0.01604802 ...  0.1692738  -0.02462367
   0.04801974]
 [-0.0106712   0...
[ 2021-05-22 06:54:51,779 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,779 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_38
[ 2021-05-22 06:54:51,779 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,779 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,780 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.03155121  0.19173826 -0.01604802 ...  0.1692738  -0.02462367
   0.04801974]
 [-0.0106712   0...
[ 2021-05-22 06:54:51,780 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,781 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.03155121  0.19173826 -0.01604802 ...  0.1692738  -0.02462367
   0.04801974]
 [-0.0106712   0...
[ 2021-05-22 06:54:51,781 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,781 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_7
[ 2021-05-22 06:54:51,781 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,781 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,782 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.03155121  0.19173826 -0.01604802 ...  0.1692738  -0.02462367
   0.04801974]
 [-0.0106712   0...
[ 2021-05-22 06:54:51,782 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,783 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.03155121  0.19173826 -0.01604802 ...  0.1692738  -0.02462367
   0.04801974]
 [-0.0106712   0...
[ 2021-05-22 06:54:51,783 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,783 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_37
[ 2021-05-22 06:54:51,784 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,784 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,784 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,785 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.16795285  0.15071571  0.0553192  ...  0.31008962 -0.06586206
  -0.01151404]
 [ 0.13568214  0...
[ 2021-05-22 06:54:51,785 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,785 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_37
[ 2021-05-22 06:54:51,785 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,785 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,786 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.16795285  0.15071571  0.0553192  ...  0.31008962 -0.06586206
  -0.01151404]
 [ 0.13568214  0...
[ 2021-05-22 06:54:51,787 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,787 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.16795285  0.15071571  0.0553192  ...  0.31008962 -0.06586206
  -0.01151404]
 [ 0.13568214  0...
[ 2021-05-22 06:54:51,787 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,787 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_6
[ 2021-05-22 06:54:51,788 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,788 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,788 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.16795285  0.15071571  0.0553192  ...  0.31008962 -0.06586206
  -0.01151404]
 [ 0.13568214  0...
[ 2021-05-22 06:54:51,789 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,789 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.16795285  0.15071571  0.0553192  ...  0.31008962 -0.06586206
  -0.01151404]
 [ 0.13568214  0...
[ 2021-05-22 06:54:51,789 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,790 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_36
[ 2021-05-22 06:54:51,790 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,790 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,790 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,790 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.17607686  0.57008684  0.10611872 ...  0.37938246 -0.07293583
   0.16764005]
 [-0.21077034  0...
[ 2021-05-22 06:54:51,791 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,791 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_36
[ 2021-05-22 06:54:51,791 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,791 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,792 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.17607686  0.57008684  0.10611872 ...  0.37938246 -0.07293583
   0.16764005]
 [-0.21077034  0...
[ 2021-05-22 06:54:51,792 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,793 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.17607686  0.57008684  0.10611872 ...  0.37938246 -0.07293583
   0.16764005]
 [-0.21077034  0...
[ 2021-05-22 06:54:51,793 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,793 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_5
[ 2021-05-22 06:54:51,793 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,793 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,794 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.17607686  0.57008684  0.10611872 ...  0.37938246 -0.07293583
   0.16764005]
 [-0.21077034  0...
[ 2021-05-22 06:54:51,794 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,795 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.17607686  0.57008684  0.10611872 ...  0.37938246 -0.07293583
   0.16764005]
 [-0.21077034  0...
[ 2021-05-22 06:54:51,795 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,795 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_35
[ 2021-05-22 06:54:51,795 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,795 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,796 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,796 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.06131364  0.3908636  -0.08521852 ...  0.15112063 -0.01626597
   0.23641473]
 [-0.06110256  0...
[ 2021-05-22 06:54:51,796 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,796 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_35
[ 2021-05-22 06:54:51,797 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,797 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,797 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.06131364  0.3908636  -0.08521852 ...  0.15112063 -0.01626597
   0.23641473]
 [-0.06110256  0...
[ 2021-05-22 06:54:51,798 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,798 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.06131364  0.3908636  -0.08521852 ...  0.15112063 -0.01626597
   0.23641473]
 [-0.06110256  0...
[ 2021-05-22 06:54:51,798 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,799 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_4
[ 2021-05-22 06:54:51,799 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,799 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,799 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.06131364  0.3908636  -0.08521852 ...  0.15112063 -0.01626597
   0.23641473]
 [-0.06110256  0...
[ 2021-05-22 06:54:51,800 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,800 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.06131364  0.3908636  -0.08521852 ...  0.15112063 -0.01626597
   0.23641473]
 [-0.06110256  0...
[ 2021-05-22 06:54:51,800 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,800 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_34
[ 2021-05-22 06:54:51,801 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,801 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,801 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,801 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.01178406 -0.11517024  0.10077305 ... -0.0353338  -0.01205059
   0.11461794]
 [ 0.12895676  0...
[ 2021-05-22 06:54:51,802 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,802 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_34
[ 2021-05-22 06:54:51,802 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,802 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,802 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.01178406 -0.11517024  0.10077305 ... -0.0353338  -0.01205059
   0.11461794]
 [ 0.12895676  0...
[ 2021-05-22 06:54:51,803 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,803 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.01178406 -0.11517024  0.10077305 ... -0.0353338  -0.01205059
   0.11461794]
 [ 0.12895676  0...
[ 2021-05-22 06:54:51,804 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,804 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_3
[ 2021-05-22 06:54:51,804 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,804 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,804 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.01178406 -0.11517024  0.10077305 ... -0.0353338  -0.01205059
   0.11461794]
 [ 0.12895676  0...
[ 2021-05-22 06:54:51,805 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,805 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.01178406 -0.11517024  0.10077305 ... -0.0353338  -0.01205059
   0.11461794]
 [ 0.12895676  0...
[ 2021-05-22 06:54:51,806 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,806 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_33
[ 2021-05-22 06:54:51,806 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,806 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,806 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,806 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.16289608  0.17219788  0.1032627  ...  0.09115036 -0.009931
  -0.12716094]
 [-0.0027668  -0.1...
[ 2021-05-22 06:54:51,807 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,807 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_33
[ 2021-05-22 06:54:51,807 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,807 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,807 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.16289608  0.17219788  0.1032627  ...  0.09115036 -0.009931
  -0.12716094]
 [-0.0027668  -0.1...
[ 2021-05-22 06:54:51,808 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,808 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.16289608  0.17219788  0.1032627  ...  0.09115036 -0.009931
  -0.12716094]
 [-0.0027668  -0.1...
[ 2021-05-22 06:54:51,809 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,809 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_2
[ 2021-05-22 06:54:51,809 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,809 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,809 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.16289608  0.17219788  0.1032627  ...  0.09115036 -0.009931
  -0.12716094]
 [-0.0027668  -0.1...
[ 2021-05-22 06:54:51,810 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,810 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.16289608  0.17219788  0.1032627  ...  0.09115036 -0.009931
  -0.12716094]
 [-0.0027668  -0.1...
[ 2021-05-22 06:54:51,811 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,811 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_32
[ 2021-05-22 06:54:51,811 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,811 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,811 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,811 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.07338681  0.22076476  0.0055288  ...  0.29911184  0.03936519
  -0.09987333]
 [ 0.08918458  0...
[ 2021-05-22 06:54:51,812 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,812 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_32
[ 2021-05-22 06:54:51,812 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,812 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,812 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.07338681  0.22076476  0.0055288  ...  0.29911184  0.03936519
  -0.09987333]
 [ 0.08918458  0...
[ 2021-05-22 06:54:51,813 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,813 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.07338681  0.22076476  0.0055288  ...  0.29911184  0.03936519
  -0.09987333]
 [ 0.08918458  0...
[ 2021-05-22 06:54:51,814 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,814 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp_1
[ 2021-05-22 06:54:51,814 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,814 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,814 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[-0.07338681  0.22076476  0.0055288  ...  0.29911184  0.03936519
  -0.09987333]
 [ 0.08918458  0...
[ 2021-05-22 06:54:51,815 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,815 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[-0.07338681  0.22076476  0.0055288  ...  0.29911184  0.03936519
  -0.09987333]
 [ 0.08918458  0...
[ 2021-05-22 06:54:51,816 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,816 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_31
[ 2021-05-22 06:54:51,816 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,816 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,816 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,817 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.07261821  0.10284492  0.07678705 ...  0.22693878  0.06325577
   0.05840278]
 [ 0.09715471 -0...
[ 2021-05-22 06:54:51,817 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,817 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_31
[ 2021-05-22 06:54:51,817 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,817 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,818 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.07261821  0.10284492  0.07678705 ...  0.22693878  0.06325577
   0.05840278]
 [ 0.09715471 -0...
[ 2021-05-22 06:54:51,818 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,819 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.07261821  0.10284492  0.07678705 ...  0.22693878  0.06325577
   0.05840278]
 [ 0.09715471 -0...
[ 2021-05-22 06:54:51,819 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,819 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat/ReadVariableOp
[ 2021-05-22 06:54:51,819 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,819 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,820 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.07261821  0.10284492  0.07678705 ...  0.22693878  0.06325577
   0.05840278]
 [ 0.09715471 -0...
[ 2021-05-22 06:54:51,820 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,821 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 11 320], value = [[ 0.07261821  0.10284492  0.07678705 ...  0.22693878  0.06325577
   0.05840278]
 [ 0.09715471 -0...
[ 2021-05-22 06:54:51,821 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,821 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel/ConcatPartitions/concat
[ 2021-05-22 06:54:51,821 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2021-05-22 06:54:51,821 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,822 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 11 320], value = [[ 0.07261821  0.10284492  0.07678705 ...  0.22693878  0.06325577
   0.05840278]
 [ 0.09715471 -0...
[ 2021-05-22 06:54:51,823 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 11 320], value = [[-0.07338681  0.22076476  0.0055288  ...  0.29911184  0.03936519
  -0.09987333]
 [ 0.08918458  0...
[ 2021-05-22 06:54:51,823 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [ 11 320], value = [[ 0.16289608  0.17219788  0.1032627  ...  0.09115036 -0.009931
  -0.12716094]
 [-0.0027668  -0.1...
[ 2021-05-22 06:54:51,824 ] [ DEBUG ] [ infer:32 ]  input[3]: shape = [ 11 320], value = [[ 0.01178406 -0.11517024  0.10077305 ... -0.0353338  -0.01205059
   0.11461794]
 [ 0.12895676  0...
[ 2021-05-22 06:54:51,824 ] [ DEBUG ] [ infer:32 ]  input[4]: shape = [ 11 320], value = [[ 0.06131364  0.3908636  -0.08521852 ...  0.15112063 -0.01626597
   0.23641473]
 [-0.06110256  0...
[ 2021-05-22 06:54:51,825 ] [ DEBUG ] [ infer:32 ]  input[5]: shape = [ 11 320], value = [[-0.17607686  0.57008684  0.10611872 ...  0.37938246 -0.07293583
   0.16764005]
 [-0.21077034  0...
[ 2021-05-22 06:54:51,826 ] [ DEBUG ] [ infer:32 ]  input[6]: shape = [ 11 320], value = [[-0.16795285  0.15071571  0.0553192  ...  0.31008962 -0.06586206
  -0.01151404]
 [ 0.13568214  0...
[ 2021-05-22 06:54:51,826 ] [ DEBUG ] [ infer:32 ]  input[7]: shape = [ 11 320], value = [[-0.03155121  0.19173826 -0.01604802 ...  0.1692738  -0.02462367
   0.04801974]
 [-0.0106712   0...
[ 2021-05-22 06:54:51,827 ] [ DEBUG ] [ infer:32 ]  input[8]: shape = [ 11 320], value = [[ 0.14899823  0.38829154 -0.02343853 ...  0.42646137  0.05264725
   0.2658189 ]
 [ 0.03935469  0...
[ 2021-05-22 06:54:51,827 ] [ DEBUG ] [ infer:32 ]  input[9]: shape = [ 11 320], value = [[ 0.09289669  0.16050544  0.22860074 ...  0.24401654  0.06347285
   0.22404243]
 [ 0.0475528  -0...
[ 2021-05-22 06:54:51,828 ] [ DEBUG ] [ infer:32 ]  input[10]: shape = [ 11 320], value = [[ 0.05957457  0.19342728 -0.08003386 ...  0.2833701   0.08352688
   0.17121066]
 [-0.00919298  0...
[ 2021-05-22 06:54:51,828 ] [ DEBUG ] [ infer:32 ]  input[11]: shape = [ 11 320], value = [[ 0.09128318  0.37587366  0.00666187 ...  0.30037478  0.13718447
   0.14752534]
 [-0.1227077  -0...
[ 2021-05-22 06:54:51,829 ] [ DEBUG ] [ infer:32 ]  input[12]: shape = [ 11 320], value = [[ 0.056045    0.05268445 -0.16026312 ...  0.01572754  0.03336459
  -0.08152363]
 [-0.31251052  0...
[ 2021-05-22 06:54:51,830 ] [ DEBUG ] [ infer:32 ]  input[13]: shape = [ 11 320], value = [[ 1.4941010e-01  1.6113521e-01 -6.2295675e-02 ... -2.9297369e-02
  -4.6839185e-02 -1.2803265e-01...
[ 2021-05-22 06:54:51,830 ] [ DEBUG ] [ infer:32 ]  input[14]: shape = [ 11 320], value = [[-0.17493449  0.43154243  0.4812889  ...  0.3615677   0.01707711
   0.06095578]
 [ 0.10126531  0...
[ 2021-05-22 06:54:51,831 ] [ DEBUG ] [ infer:32 ]  input[15]: shape = [ 11 320], value = [[ 0.13636203  0.5837368  -0.04849458 ...  0.248085   -0.06690222
  -0.0441837 ]
 [ 0.13440618  0...
[ 2021-05-22 06:54:51,832 ] [ DEBUG ] [ infer:32 ]  input[16]: shape = [ 11 320], value = [[ 0.06674273  0.17695938 -0.07399206 ...  0.13159391  0.11641105
  -0.00604965]
 [-0.14772373  0...
[ 2021-05-22 06:54:51,832 ] [ DEBUG ] [ infer:32 ]  input[17]: shape = [ 11 320], value = [[ 0.16414873  0.3683287  -0.03459489 ...  0.27751097  0.08985128
   0.16330299]
 [ 0.12255698  0...
[ 2021-05-22 06:54:51,833 ] [ DEBUG ] [ infer:32 ]  input[18]: shape = [ 11 320], value = [[ 0.17077231  0.39903438 -0.0583661  ...  0.3109782  -0.03862865
   0.06446495]
 [-0.01973273  0...
[ 2021-05-22 06:54:51,833 ] [ DEBUG ] [ infer:32 ]  input[19]: shape = [ 11 320], value = [[-0.05920603  0.10094754 -0.03455772 ...  0.04114834  0.13118957
   0.06499866]
 [ 0.31486553  0...
[ 2021-05-22 06:54:51,834 ] [ DEBUG ] [ infer:32 ]  input[20]: shape = [ 10 320], value = [[ 0.22259364  0.14308573 -0.14639883 ...  0.17809252  0.17435254
  -0.02878879]
 [ 0.08658066 -0...
[ 2021-05-22 06:54:51,835 ] [ DEBUG ] [ infer:32 ]  input[21]: shape = [ 10 320], value = [[ 0.10652368 -0.07601108  0.0598436  ...  0.01428676 -0.00516765
  -0.21365407]
 [ 0.22086065  0...
[ 2021-05-22 06:54:51,835 ] [ DEBUG ] [ infer:32 ]  input[22]: shape = [ 10 320], value = [[ 0.44452658  0.38962653  0.3625391  ...  0.21738388  0.01430673
   0.15867746]
 [-0.15410104  0...
[ 2021-05-22 06:54:51,836 ] [ DEBUG ] [ infer:32 ]  input[23]: shape = [ 10 320], value = [[ 1.53140619e-01  2.78439205e-02 -1.49911925e-01 ...  1.91232860e-01
  -1.06750354e-01  4.165266...
[ 2021-05-22 06:54:51,836 ] [ DEBUG ] [ infer:32 ]  input[24]: shape = [ 10 320], value = [[ 3.52287702e-02  6.98801652e-02 -8.20572227e-02 ...  3.85874161e-03
  -1.06575459e-01  1.235534...
[ 2021-05-22 06:54:51,837 ] [ DEBUG ] [ infer:32 ]  input[25]: shape = [ 10 320], value = [[ 0.0184828   0.04251276  0.09293672 ...  0.05962996 -0.07824787
   0.07801609]
 [ 0.18780367  0...
[ 2021-05-22 06:54:51,838 ] [ DEBUG ] [ infer:32 ]  input[26]: shape = [ 10 320], value = [[-0.148123   -0.09968162 -0.249882   ... -0.03626082  0.07050233
  -0.02657982]
 [ 0.03439327  0...
[ 2021-05-22 06:54:51,838 ] [ DEBUG ] [ infer:32 ]  input[27]: shape = [ 10 320], value = [[ 0.227953    0.26528895  0.11925025 ...  0.14127474 -0.04508559
   0.0608699 ]
 [ 0.05685366  0...
[ 2021-05-22 06:54:51,839 ] [ DEBUG ] [ infer:32 ]  input[28]: shape = [ 10 320], value = [[ 0.0887795   0.534046    0.00075458 ...  0.23777975 -0.07285393
  -0.1305951 ]
 [ 0.24702823  0...
[ 2021-05-22 06:54:51,840 ] [ DEBUG ] [ infer:32 ]  input[29]: shape = [ 10 320], value = [[ 0.02271294  0.31023088  0.18056497 ... -0.02213871 -0.02401957
  -0.17814378]
 [ 0.20132463 -0...
[ 2021-05-22 06:54:51,840 ] [ DEBUG ] [ infer:32 ]  input[30]: shape = [], value = 0
[ 2021-05-22 06:54:51,846 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,847 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [320 320], value = [[ 0.07261821  0.10284492  0.07678705 ...  0.22693878  0.06325577
   0.05840278]
 [ 0.09715471 -0...
[ 2021-05-22 06:54:51,847 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,847 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/ResidualHidden_0/dense/kernel
[ 2021-05-22 06:54:51,847 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,847 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,848 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [320 320], value = [[ 0.07261821  0.10284492  0.07678705 ...  0.22693878  0.06325577
   0.05840278]
 [ 0.09715471 -0...
[ 2021-05-22 06:54:51,848 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,849 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [320 320], value = [[ 0.07261821  0.10284492  0.07678705 ...  0.22693878  0.06325577
   0.05840278]
 [ 0.09715471 -0...
[ 2021-05-22 06:54:51,849 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,849 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/ExpandDims/dim
[ 2021-05-22 06:54:51,849 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,849 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/count_nonzero/Sum/reduction_indices
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/count_nonzero/zeros
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,850 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0.0
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/zeros
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0.0
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/SparseToDense/CastDefaultValue
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:131 ]  Op: Cast
[ 2021-05-22 06:54:51,851 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,852 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 0.0
[ 2021-05-22 06:54:51,852 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,852 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,852 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,852 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/ones/Const
[ 2021-05-22 06:54:51,852 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,852 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,852 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,852 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2021-05-22 06:54:51,853 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,853 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/ones/Reshape/shape
[ 2021-05-22 06:54:51,853 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,853 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,853 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,853 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [-1]
[ 2021-05-22 06:54:51,853 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,853 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/strided_slice_1/stack_2
[ 2021-05-22 06:54:51,853 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,853 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,854 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,854 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2021-05-22 06:54:51,854 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,854 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/strided_slice_1/stack_1
[ 2021-05-22 06:54:51,854 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,854 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,854 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,854 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2021-05-22 06:54:51,855 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,855 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/strided_slice_1/stack
[ 2021-05-22 06:54:51,855 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,855 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,855 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,855 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:51,855 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,855 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/Const
[ 2021-05-22 06:54:51,855 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,855 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,855 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,856 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:51,856 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,856 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/Maximum/x
[ 2021-05-22 06:54:51,856 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,856 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,856 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,856 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2021-05-22 06:54:51,856 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,856 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/strided_slice_2/stack_2
[ 2021-05-22 06:54:51,856 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,856 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,857 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,857 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2021-05-22 06:54:51,857 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,857 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/strided_slice_2/stack_1
[ 2021-05-22 06:54:51,857 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,857 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,857 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,857 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2021-05-22 06:54:51,858 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,858 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/strided_slice_2/stack
[ 2021-05-22 06:54:51,858 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,858 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,858 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,858 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:51,858 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,858 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/strided_slice/stack_2
[ 2021-05-22 06:54:51,858 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,858 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,858 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,859 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [2], value = [1 1]
[ 2021-05-22 06:54:51,859 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,859 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/strided_slice/stack_1
[ 2021-05-22 06:54:51,859 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,859 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,859 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,859 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [2], value = [0 1]
[ 2021-05-22 06:54:51,859 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,859 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/DNN/combine_word_embeddings/strided_slice/stack
[ 2021-05-22 06:54:51,859 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,859 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,860 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,860 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [2], value = [0 0]
[ 2021-05-22 06:54:51,860 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,860 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/transpose/perm
[ 2021-05-22 06:54:51,860 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,860 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,860 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,860 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [2], value = [1 0]
[ 2021-05-22 06:54:51,861 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,861 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/GatherV2/axis
[ 2021-05-22 06:54:51,861 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,861 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,861 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,861 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,861 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,861 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/Cumsum/axis
[ 2021-05-22 06:54:51,861 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,861 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,861 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,862 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,862 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,862 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/strided_slice/stack_2
[ 2021-05-22 06:54:51,862 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,862 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,862 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,863 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [2], value = [1 1]
[ 2021-05-22 06:54:51,863 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,863 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/strided_slice/stack_1
[ 2021-05-22 06:54:51,863 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,863 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,863 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,864 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [2], value = [0 1]
[ 2021-05-22 06:54:51,864 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,864 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/strided_slice/stack
[ 2021-05-22 06:54:51,864 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,864 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,864 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,864 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [2], value = [0 0]
[ 2021-05-22 06:54:51,865 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,865 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/ones_like/Const
[ 2021-05-22 06:54:51,865 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,865 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,865 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,865 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2021-05-22 06:54:51,865 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,866 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/range/delta
[ 2021-05-22 06:54:51,866 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,866 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,866 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,866 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2021-05-22 06:54:51,866 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,866 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/strided_slice_1/stack_2
[ 2021-05-22 06:54:51,866 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,866 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,867 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,867 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2021-05-22 06:54:51,867 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,867 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/strided_slice_1/stack_1
[ 2021-05-22 06:54:51,867 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,867 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,867 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,868 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2021-05-22 06:54:51,868 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,868 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/strided_slice_1/stack
[ 2021-05-22 06:54:51,868 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,868 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,868 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,868 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:51,869 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,869 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/PackPositions/range/start
[ 2021-05-22 06:54:51,869 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,869 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,869 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,869 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,869 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,869 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/concat/axis
[ 2021-05-22 06:54:51,869 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,870 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,870 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,870 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,870 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,870 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/strided_slice/stack_2
[ 2021-05-22 06:54:51,870 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,870 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,870 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,871 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2021-05-22 06:54:51,871 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,871 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/strided_slice/stack_1
[ 2021-05-22 06:54:51,871 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,871 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,871 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,871 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:51,872 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,872 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/strided_slice/stack
[ 2021-05-22 06:54:51,872 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,872 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,872 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,872 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2021-05-22 06:54:51,872 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,873 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/GatherV2/axis
[ 2021-05-22 06:54:51,873 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,873 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,873 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,873 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,873 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,873 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/concat/axis
[ 2021-05-22 06:54:51,873 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,873 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,874 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,874 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,874 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,874 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/concat/values_1
[ 2021-05-22 06:54:51,874 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,874 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,874 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,875 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [320]
[ 2021-05-22 06:54:51,875 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,875 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_29/axis
[ 2021-05-22 06:54:51,875 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,875 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,875 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,875 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,875 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,876 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_30
[ 2021-05-22 06:54:51,876 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,876 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,876 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,877 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.08667251  0.01971572  0.00134588 ...  0.07279485  0.03767912
  -0.10857513]
 [ 0.3946753   0...
[ 2021-05-22 06:54:51,877 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,877 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_30
[ 2021-05-22 06:54:51,877 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,877 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,878 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.08667251  0.01971572  0.00134588 ...  0.07279485  0.03767912
  -0.10857513]
 [ 0.3946753   0...
[ 2021-05-22 06:54:51,878 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,879 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.08667251  0.01971572  0.00134588 ...  0.07279485  0.03767912
  -0.10857513]
 [ 0.3946753   0...
[ 2021-05-22 06:54:51,880 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,880 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_28/axis
[ 2021-05-22 06:54:51,880 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,880 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,880 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,880 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,880 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,880 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_29
[ 2021-05-22 06:54:51,881 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,881 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,881 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,882 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.9649359   0.34749195 -0.3681121  ...  0.10698166  0.24603403
   0.2774006 ]
 [-0.50403005 -0...
[ 2021-05-22 06:54:51,882 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,882 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_29
[ 2021-05-22 06:54:51,882 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,882 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,883 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.9649359   0.34749195 -0.3681121  ...  0.10698166  0.24603403
   0.2774006 ]
 [-0.50403005 -0...
[ 2021-05-22 06:54:51,883 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,884 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.9649359   0.34749195 -0.3681121  ...  0.10698166  0.24603403
   0.2774006 ]
 [-0.50403005 -0...
[ 2021-05-22 06:54:51,884 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,884 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_27/axis
[ 2021-05-22 06:54:51,884 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,884 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,884 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,884 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,885 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,885 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_28
[ 2021-05-22 06:54:51,885 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,885 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,885 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,886 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.4454239   0.04320218  0.37973315 ... -0.6286852   0.16046077
   0.3221062 ]
 [-0.01953848  0...
[ 2021-05-22 06:54:51,886 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,886 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_28
[ 2021-05-22 06:54:51,886 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,886 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,887 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.4454239   0.04320218  0.37973315 ... -0.6286852   0.16046077
   0.3221062 ]
 [-0.01953848  0...
[ 2021-05-22 06:54:51,887 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,888 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.4454239   0.04320218  0.37973315 ... -0.6286852   0.16046077
   0.3221062 ]
 [-0.01953848  0...
[ 2021-05-22 06:54:51,888 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,888 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_26/axis
[ 2021-05-22 06:54:51,888 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,888 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,888 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,888 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,888 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,888 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_27
[ 2021-05-22 06:54:51,888 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,889 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,889 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,890 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.00519712  0.01443809 -0.08984642 ...  0.0060265   0.02361885
   0.03971986]
 [-0.08464492 -0...
[ 2021-05-22 06:54:51,890 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,890 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_27
[ 2021-05-22 06:54:51,890 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,890 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,890 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.00519712  0.01443809 -0.08984642 ...  0.0060265   0.02361885
   0.03971986]
 [-0.08464492 -0...
[ 2021-05-22 06:54:51,891 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,891 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.00519712  0.01443809 -0.08984642 ...  0.0060265   0.02361885
   0.03971986]
 [-0.08464492 -0...
[ 2021-05-22 06:54:51,892 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,892 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_25/axis
[ 2021-05-22 06:54:51,892 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,892 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,892 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,892 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,892 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,892 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_26
[ 2021-05-22 06:54:51,892 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,892 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,893 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,893 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.3082109   0.11941762 -0.22573248 ... -0.23596247 -0.11345437
  -0.19069359]
 [ 0.04380364  0...
[ 2021-05-22 06:54:51,893 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,893 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_26
[ 2021-05-22 06:54:51,894 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,894 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,894 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.3082109   0.11941762 -0.22573248 ... -0.23596247 -0.11345437
  -0.19069359]
 [ 0.04380364  0...
[ 2021-05-22 06:54:51,895 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,895 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.3082109   0.11941762 -0.22573248 ... -0.23596247 -0.11345437
  -0.19069359]
 [ 0.04380364  0...
[ 2021-05-22 06:54:51,895 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,895 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_24/axis
[ 2021-05-22 06:54:51,895 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,896 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,896 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,896 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,896 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,896 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_25
[ 2021-05-22 06:54:51,896 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,896 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,896 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,897 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.04106622 -0.17215678 -0.23531358 ... -0.41713256 -0.01783196
   0.22581083]
 [-0.51202303  0...
[ 2021-05-22 06:54:51,897 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,897 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_25
[ 2021-05-22 06:54:51,897 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,897 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,898 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.04106622 -0.17215678 -0.23531358 ... -0.41713256 -0.01783196
   0.22581083]
 [-0.51202303  0...
[ 2021-05-22 06:54:51,898 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,899 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.04106622 -0.17215678 -0.23531358 ... -0.41713256 -0.01783196
   0.22581083]
 [-0.51202303  0...
[ 2021-05-22 06:54:51,899 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,899 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_23/axis
[ 2021-05-22 06:54:51,899 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,899 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,899 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,900 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,900 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,900 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_24
[ 2021-05-22 06:54:51,900 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,900 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,900 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,901 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.5922176   0.08034763  0.13171619 ... -0.18592824  0.1378957
   0.2526724 ]
 [-0.60184246  0....
[ 2021-05-22 06:54:51,901 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,901 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_24
[ 2021-05-22 06:54:51,901 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,901 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,902 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.5922176   0.08034763  0.13171619 ... -0.18592824  0.1378957
   0.2526724 ]
 [-0.60184246  0....
[ 2021-05-22 06:54:51,902 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,903 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.5922176   0.08034763  0.13171619 ... -0.18592824  0.1378957
   0.2526724 ]
 [-0.60184246  0....
[ 2021-05-22 06:54:51,903 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,903 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_22/axis
[ 2021-05-22 06:54:51,903 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,903 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,903 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,903 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,903 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,903 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_23
[ 2021-05-22 06:54:51,903 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,903 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,904 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,904 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.69571614  0.19258581 -0.1944551  ... -0.5654849   0.20265552
   0.51858264]
 [-0.08528672  0...
[ 2021-05-22 06:54:51,904 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,904 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_23
[ 2021-05-22 06:54:51,905 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,905 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,905 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.69571614  0.19258581 -0.1944551  ... -0.5654849   0.20265552
   0.51858264]
 [-0.08528672  0...
[ 2021-05-22 06:54:51,906 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,906 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.69571614  0.19258581 -0.1944551  ... -0.5654849   0.20265552
   0.51858264]
 [-0.08528672  0...
[ 2021-05-22 06:54:51,906 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,907 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_21/axis
[ 2021-05-22 06:54:51,907 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,907 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,907 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,907 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,907 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,907 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_22
[ 2021-05-22 06:54:51,907 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,907 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,907 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,908 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.4063181   0.10837377 -0.4215465  ... -0.60048974  0.09494778
   0.37815434]
 [ 0.05249247  0...
[ 2021-05-22 06:54:51,908 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,908 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_22
[ 2021-05-22 06:54:51,908 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,908 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,909 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.4063181   0.10837377 -0.4215465  ... -0.60048974  0.09494778
   0.37815434]
 [ 0.05249247  0...
[ 2021-05-22 06:54:51,909 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,910 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.4063181   0.10837377 -0.4215465  ... -0.60048974  0.09494778
   0.37815434]
 [ 0.05249247  0...
[ 2021-05-22 06:54:51,910 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,910 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_20/axis
[ 2021-05-22 06:54:51,910 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,910 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,910 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,911 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,911 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,911 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_21
[ 2021-05-22 06:54:51,911 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,911 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,911 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,912 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.5867144   0.03054295  0.1829085  ... -0.20262702  0.02833084
   0.28993058]
 [-0.62040156  1...
[ 2021-05-22 06:54:51,912 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,912 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_21
[ 2021-05-22 06:54:51,912 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,912 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,913 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.5867144   0.03054295  0.1829085  ... -0.20262702  0.02833084
   0.28993058]
 [-0.62040156  1...
[ 2021-05-22 06:54:51,913 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,914 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.5867144   0.03054295  0.1829085  ... -0.20262702  0.02833084
   0.28993058]
 [-0.62040156  1...
[ 2021-05-22 06:54:51,914 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,914 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_19/axis
[ 2021-05-22 06:54:51,914 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,914 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,914 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,914 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,914 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,914 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_20
[ 2021-05-22 06:54:51,914 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,915 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,915 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,915 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.6897188   0.08724597 -0.32761857 ... -0.45998457  0.20552453
   0.25275135]
 [ 0.30325028  0...
[ 2021-05-22 06:54:51,916 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,916 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_20
[ 2021-05-22 06:54:51,916 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,916 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,916 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.6897188   0.08724597 -0.32761857 ... -0.45998457  0.20552453
   0.25275135]
 [ 0.30325028  0...
[ 2021-05-22 06:54:51,917 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,918 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.6897188   0.08724597 -0.32761857 ... -0.45998457  0.20552453
   0.25275135]
 [ 0.30325028  0...
[ 2021-05-22 06:54:51,918 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,918 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_18/axis
[ 2021-05-22 06:54:51,918 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,918 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,918 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,918 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,918 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,918 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_19
[ 2021-05-22 06:54:51,918 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,918 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,919 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,919 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.04137789  0.06030184 -0.01247511 ... -0.03148407 -0.00341284
  -0.07552533]
 [ 0.24041565  0...
[ 2021-05-22 06:54:51,919 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,919 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_19
[ 2021-05-22 06:54:51,919 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,919 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,920 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.04137789  0.06030184 -0.01247511 ... -0.03148407 -0.00341284
  -0.07552533]
 [ 0.24041565  0...
[ 2021-05-22 06:54:51,920 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,921 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.04137789  0.06030184 -0.01247511 ... -0.03148407 -0.00341284
  -0.07552533]
 [ 0.24041565  0...
[ 2021-05-22 06:54:51,921 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,921 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_17/axis
[ 2021-05-22 06:54:51,921 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,922 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,922 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,922 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,922 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,922 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_18
[ 2021-05-22 06:54:51,922 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,922 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,922 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,923 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.21719162  0.08894632 -0.6723027  ... -0.643844    0.10580648
   0.15455385]
 [-0.0167101   0...
[ 2021-05-22 06:54:51,923 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,923 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_18
[ 2021-05-22 06:54:51,923 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,923 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,924 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.21719162  0.08894632 -0.6723027  ... -0.643844    0.10580648
   0.15455385]
 [-0.0167101   0...
[ 2021-05-22 06:54:51,924 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,925 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.21719162  0.08894632 -0.6723027  ... -0.643844    0.10580648
   0.15455385]
 [-0.0167101   0...
[ 2021-05-22 06:54:51,925 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,925 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_16/axis
[ 2021-05-22 06:54:51,925 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,925 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,925 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,926 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,926 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,926 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_17
[ 2021-05-22 06:54:51,926 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,926 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,926 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,927 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.03672719  0.16630118 -1.1302131  ... -1.3875915   0.13832763
   0.06205158]
 [-0.57858163  0...
[ 2021-05-22 06:54:51,927 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,927 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_17
[ 2021-05-22 06:54:51,927 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,927 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,928 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.03672719  0.16630118 -1.1302131  ... -1.3875915   0.13832763
   0.06205158]
 [-0.57858163  0...
[ 2021-05-22 06:54:51,928 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,929 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.03672719  0.16630118 -1.1302131  ... -1.3875915   0.13832763
   0.06205158]
 [-0.57858163  0...
[ 2021-05-22 06:54:51,929 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,929 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_15/axis
[ 2021-05-22 06:54:51,929 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,929 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,929 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,930 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,930 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,930 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_16
[ 2021-05-22 06:54:51,930 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,930 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,930 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,931 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.39052358  0.00310118 -0.28688836 ... -0.29928952  0.05104176
   0.07032271]
 [-0.18834959  0...
[ 2021-05-22 06:54:51,931 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,931 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_16
[ 2021-05-22 06:54:51,931 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,931 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,932 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.39052358  0.00310118 -0.28688836 ... -0.29928952  0.05104176
   0.07032271]
 [-0.18834959  0...
[ 2021-05-22 06:54:51,932 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,933 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.39052358  0.00310118 -0.28688836 ... -0.29928952  0.05104176
   0.07032271]
 [-0.18834959  0...
[ 2021-05-22 06:54:51,933 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,933 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_14/axis
[ 2021-05-22 06:54:51,933 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,933 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,933 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,933 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,933 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,933 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_15
[ 2021-05-22 06:54:51,933 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,933 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,934 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,934 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.7776679   0.5778642  -0.71049833 ... -0.7713164   0.18335016
   0.30793086]
 [-0.11017963  0...
[ 2021-05-22 06:54:51,934 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,934 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_15
[ 2021-05-22 06:54:51,934 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,935 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,935 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.7776679   0.5778642  -0.71049833 ... -0.7713164   0.18335016
   0.30793086]
 [-0.11017963  0...
[ 2021-05-22 06:54:51,936 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,936 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.7776679   0.5778642  -0.71049833 ... -0.7713164   0.18335016
   0.30793086]
 [-0.11017963  0...
[ 2021-05-22 06:54:51,936 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,936 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_13/axis
[ 2021-05-22 06:54:51,936 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,936 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,937 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,937 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,937 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,937 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_14
[ 2021-05-22 06:54:51,937 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,937 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,937 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,938 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.08154146 -0.13990821 -0.14033532 ... -0.43686146  0.06886079
   0.10230105]
 [ 0.7799608   0...
[ 2021-05-22 06:54:51,939 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,939 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_14
[ 2021-05-22 06:54:51,939 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,939 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,940 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.08154146 -0.13990821 -0.14033532 ... -0.43686146  0.06886079
   0.10230105]
 [ 0.7799608   0...
[ 2021-05-22 06:54:51,940 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,941 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.08154146 -0.13990821 -0.14033532 ... -0.43686146  0.06886079
   0.10230105]
 [ 0.7799608   0...
[ 2021-05-22 06:54:51,941 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,941 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_12/axis
[ 2021-05-22 06:54:51,941 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,942 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,942 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,942 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,942 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,942 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_13
[ 2021-05-22 06:54:51,942 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,942 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,943 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,943 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.4018561   0.2430047   0.19843446 ... -0.82163256  0.21929847
   0.10171577]
 [-0.2878499   0...
[ 2021-05-22 06:54:51,944 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,944 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_13
[ 2021-05-22 06:54:51,944 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,944 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,945 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.4018561   0.2430047   0.19843446 ... -0.82163256  0.21929847
   0.10171577]
 [-0.2878499   0...
[ 2021-05-22 06:54:51,945 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,946 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.4018561   0.2430047   0.19843446 ... -0.82163256  0.21929847
   0.10171577]
 [-0.2878499   0...
[ 2021-05-22 06:54:51,946 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,946 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_11/axis
[ 2021-05-22 06:54:51,946 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,946 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,946 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,947 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,947 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,947 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_12
[ 2021-05-22 06:54:51,947 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,947 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,947 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,948 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.00577716  0.007988    0.09893635 ... -0.01747062 -0.04722186
  -0.03410717]
 [-0.9351592   0...
[ 2021-05-22 06:54:51,948 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,948 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_12
[ 2021-05-22 06:54:51,948 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,948 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,949 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.00577716  0.007988    0.09893635 ... -0.01747062 -0.04722186
  -0.03410717]
 [-0.9351592   0...
[ 2021-05-22 06:54:51,950 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,950 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.00577716  0.007988    0.09893635 ... -0.01747062 -0.04722186
  -0.03410717]
 [-0.9351592   0...
[ 2021-05-22 06:54:51,951 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,951 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_10/axis
[ 2021-05-22 06:54:51,951 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,951 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,951 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,951 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,951 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,951 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_11
[ 2021-05-22 06:54:51,951 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,952 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,952 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,952 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.25605434 -0.07025254  0.05765591 ... -0.5892988   0.02626989
   0.20982789]
 [ 0.10185199  0...
[ 2021-05-22 06:54:51,953 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,953 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_11
[ 2021-05-22 06:54:51,953 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,953 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,954 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.25605434 -0.07025254  0.05765591 ... -0.5892988   0.02626989
   0.20982789]
 [ 0.10185199  0...
[ 2021-05-22 06:54:51,955 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,955 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.25605434 -0.07025254  0.05765591 ... -0.5892988   0.02626989
   0.20982789]
 [ 0.10185199  0...
[ 2021-05-22 06:54:51,956 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,956 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_9/axis
[ 2021-05-22 06:54:51,956 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,956 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,956 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,956 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,956 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,956 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_10
[ 2021-05-22 06:54:51,957 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,957 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,957 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,958 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.14094654  0.11606157  0.15625383 ... -0.7124419   0.13217372
   0.1802513 ]
 [ 0.8371467  -0...
[ 2021-05-22 06:54:51,958 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,958 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_10
[ 2021-05-22 06:54:51,958 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,958 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,959 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.14094654  0.11606157  0.15625383 ... -0.7124419   0.13217372
   0.1802513 ]
 [ 0.8371467  -0...
[ 2021-05-22 06:54:51,960 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,961 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.14094654  0.11606157  0.15625383 ... -0.7124419   0.13217372
   0.1802513 ]
 [ 0.8371467  -0...
[ 2021-05-22 06:54:51,961 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,961 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_8/axis
[ 2021-05-22 06:54:51,961 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,961 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,961 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,961 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,962 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,962 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_9
[ 2021-05-22 06:54:51,962 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,962 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,962 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,963 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.01707802 -0.06180101  0.00382228 ... -0.06104578 -0.01548677
   0.00060597]
 [ 0.3686571   0...
[ 2021-05-22 06:54:51,963 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,963 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_9
[ 2021-05-22 06:54:51,963 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,963 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,964 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.01707802 -0.06180101  0.00382228 ... -0.06104578 -0.01548677
   0.00060597]
 [ 0.3686571   0...
[ 2021-05-22 06:54:51,964 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,965 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.01707802 -0.06180101  0.00382228 ... -0.06104578 -0.01548677
   0.00060597]
 [ 0.3686571   0...
[ 2021-05-22 06:54:51,965 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,965 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_7/axis
[ 2021-05-22 06:54:51,965 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,966 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,966 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,966 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,966 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,966 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_8
[ 2021-05-22 06:54:51,966 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,966 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,967 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,967 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.04398131 -0.10718712  0.02741519 ... -0.0146593   0.04522295
   0.0407301 ]
 [-0.02240041  0...
[ 2021-05-22 06:54:51,967 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,968 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_8
[ 2021-05-22 06:54:51,968 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,968 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,968 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.04398131 -0.10718712  0.02741519 ... -0.0146593   0.04522295
   0.0407301 ]
 [-0.02240041  0...
[ 2021-05-22 06:54:51,969 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,970 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.04398131 -0.10718712  0.02741519 ... -0.0146593   0.04522295
   0.0407301 ]
 [-0.02240041  0...
[ 2021-05-22 06:54:51,970 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,970 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_6/axis
[ 2021-05-22 06:54:51,970 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,970 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,970 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,970 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,971 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,971 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_7
[ 2021-05-22 06:54:51,971 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,971 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,971 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,972 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.09613234  0.00152302 -0.04651097 ...  0.01828847 -0.02027897
   0.04439679]
 [ 0.18188402 -0...
[ 2021-05-22 06:54:51,972 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,972 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_7
[ 2021-05-22 06:54:51,972 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,972 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,973 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.09613234  0.00152302 -0.04651097 ...  0.01828847 -0.02027897
   0.04439679]
 [ 0.18188402 -0...
[ 2021-05-22 06:54:51,973 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,974 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.09613234  0.00152302 -0.04651097 ...  0.01828847 -0.02027897
   0.04439679]
 [ 0.18188402 -0...
[ 2021-05-22 06:54:51,974 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,974 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_5/axis
[ 2021-05-22 06:54:51,974 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,974 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,975 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,975 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,975 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,975 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_6
[ 2021-05-22 06:54:51,975 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,975 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,975 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,976 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.0531886  -0.07305811  0.02493922 ...  0.04151542  0.01724546
   0.03391202]
 [-1.1253158   0...
[ 2021-05-22 06:54:51,976 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,976 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_6
[ 2021-05-22 06:54:51,976 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,976 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,977 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 0.0531886  -0.07305811  0.02493922 ...  0.04151542  0.01724546
   0.03391202]
 [-1.1253158   0...
[ 2021-05-22 06:54:51,977 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,978 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 0.0531886  -0.07305811  0.02493922 ...  0.04151542  0.01724546
   0.03391202]
 [-1.1253158   0...
[ 2021-05-22 06:54:51,978 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,978 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_4/axis
[ 2021-05-22 06:54:51,979 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,979 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,979 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,979 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,979 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,979 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_5
[ 2021-05-22 06:54:51,979 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,979 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,979 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,980 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 1.60431303e-02 -1.37231708e-01 -8.44638199e-02 ... -5.14217652e-04
   1.01041228e-01 -5.424565...
[ 2021-05-22 06:54:51,980 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,980 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_5
[ 2021-05-22 06:54:51,980 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,980 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,981 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 1.60431303e-02 -1.37231708e-01 -8.44638199e-02 ... -5.14217652e-04
   1.01041228e-01 -5.424565...
[ 2021-05-22 06:54:51,981 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,982 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 1.60431303e-02 -1.37231708e-01 -8.44638199e-02 ... -5.14217652e-04
   1.01041228e-01 -5.424565...
[ 2021-05-22 06:54:51,982 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,982 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_3/axis
[ 2021-05-22 06:54:51,982 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,982 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,982 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,983 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,983 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,983 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_4
[ 2021-05-22 06:54:51,983 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,983 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,983 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,984 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.06236736  0.03764867  0.04050368 ... -0.04933948  0.01231335
   0.01034924]
 [-0.88279176 -0...
[ 2021-05-22 06:54:51,984 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,984 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_4
[ 2021-05-22 06:54:51,984 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,984 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,985 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.06236736  0.03764867  0.04050368 ... -0.04933948  0.01231335
   0.01034924]
 [-0.88279176 -0...
[ 2021-05-22 06:54:51,985 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,986 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.06236736  0.03764867  0.04050368 ... -0.04933948  0.01231335
   0.01034924]
 [-0.88279176 -0...
[ 2021-05-22 06:54:51,986 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,986 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_2/axis
[ 2021-05-22 06:54:51,986 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,986 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,986 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,986 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,986 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,986 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_3
[ 2021-05-22 06:54:51,986 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,986 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,987 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,987 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.02090245 -0.006236   -0.01645498 ...  0.0606927  -0.07000386
   0.00829312]
 [ 0.1025753   0...
[ 2021-05-22 06:54:51,987 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,987 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_3
[ 2021-05-22 06:54:51,987 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,987 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,988 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.02090245 -0.006236   -0.01645498 ...  0.0606927  -0.07000386
   0.00829312]
 [ 0.1025753   0...
[ 2021-05-22 06:54:51,988 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,989 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.02090245 -0.006236   -0.01645498 ...  0.0606927  -0.07000386
   0.00829312]
 [ 0.1025753   0...
[ 2021-05-22 06:54:51,989 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,989 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather_1/axis
[ 2021-05-22 06:54:51,989 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,989 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,990 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,990 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,990 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,990 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_2
[ 2021-05-22 06:54:51,990 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,990 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,990 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,991 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 3.1123035e+00  1.9035040e+00 -2.4504054e+00 ... -3.6000068e+00
   1.6262866e+00  3.8986406e+00...
[ 2021-05-22 06:54:51,991 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,991 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_2
[ 2021-05-22 06:54:51,991 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,991 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,992 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[ 3.1123035e+00  1.9035040e+00 -2.4504054e+00 ... -3.6000068e+00
   1.6262866e+00  3.8986406e+00...
[ 2021-05-22 06:54:51,992 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,993 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[ 3.1123035e+00  1.9035040e+00 -2.4504054e+00 ... -3.6000068e+00
   1.6262866e+00  3.8986406e+00...
[ 2021-05-22 06:54:51,993 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,993 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Gather/axis
[ 2021-05-22 06:54:51,993 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,993 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,993 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/floordiv/y
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 30
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:130 ]  Partial infer for statefulpartitionedcall_args_1
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,994 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,995 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.44756386 -0.7523224  -2.8879747  ... -4.275423   -0.50384414
  -2.5144944 ]
 [ 0.19551526  0...
[ 2021-05-22 06:54:51,995 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,995 ] [ DEBUG ] [ infer:130 ]  Partial infer for Func/StatefulPartitionedCall/input/_1
[ 2021-05-22 06:54:51,995 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2021-05-22 06:54:51,995 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,996 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [26667   320], value = [[-0.44756386 -0.7523224  -2.8879747  ... -4.275423   -0.50384414
  -2.5144944 ]
 [ 0.19551526  0...
[ 2021-05-22 06:54:51,996 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,997 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [26667   320], value = [[-0.44756386 -0.7523224  -2.8879747  ... -4.275423   -0.50384414
  -2.5144944 ]
 [ 0.19551526  0...
[ 2021-05-22 06:54:51,997 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,997 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/mod/y
[ 2021-05-22 06:54:51,997 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,997 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,998 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,998 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 30
[ 2021-05-22 06:54:51,998 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,998 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/range/delta
[ 2021-05-22 06:54:51,998 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,998 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,998 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,998 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2021-05-22 06:54:51,998 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,999 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/embedding_lookup/Reshape/shape
[ 2021-05-22 06:54:51,999 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,999 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,999 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:51,999 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [-1]
[ 2021-05-22 06:54:51,999 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:51,999 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/EncoderDNN/EmbeddingLookup/EmbeddingLookupUnique/Const
[ 2021-05-22 06:54:51,999 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:51,999 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:51,999 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/Const_1
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/NotEqual/y
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,000 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,001 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 
[ 2021-05-22 06:54:52,001 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,001 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/concat_2/axis
[ 2021-05-22 06:54:52,001 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,001 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,001 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,001 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2021-05-22 06:54:52,001 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,001 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice_3/stack_2
[ 2021-05-22 06:54:52,001 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,001 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,002 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,002 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [1 1 1]
[ 2021-05-22 06:54:52,002 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,002 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice_3/stack_1
[ 2021-05-22 06:54:52,002 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,002 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,003 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,003 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [0 0 2]
[ 2021-05-22 06:54:52,003 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,003 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice_3/stack
[ 2021-05-22 06:54:52,003 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,003 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,003 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,004 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [0 0 1]
[ 2021-05-22 06:54:52,004 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,004 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice_2/stack_2
[ 2021-05-22 06:54:52,004 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,004 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,004 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,005 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [1 1 1]
[ 2021-05-22 06:54:52,005 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,005 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice_2/stack_1
[ 2021-05-22 06:54:52,005 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,005 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,005 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,006 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [0 0 1]
[ 2021-05-22 06:54:52,006 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,006 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice_2/stack
[ 2021-05-22 06:54:52,006 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,006 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,006 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,007 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [0 0 0]
[ 2021-05-22 06:54:52,007 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,007 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/concat_1/axis
[ 2021-05-22 06:54:52,007 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,007 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,007 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,007 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 2
[ 2021-05-22 06:54:52,007 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,008 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/ExpandDims_1/dim
[ 2021-05-22 06:54:52,008 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,008 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,008 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,008 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1
[ 2021-05-22 06:54:52,008 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,008 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/concat/axis
[ 2021-05-22 06:54:52,008 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,008 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,009 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,009 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2021-05-22 06:54:52,009 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,009 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/Fill/value
[ 2021-05-22 06:54:52,009 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,009 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,009 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,010 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 
[ 2021-05-22 06:54:52,010 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,010 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/Fill/dims/1
[ 2021-05-22 06:54:52,010 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,010 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,010 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,010 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2021-05-22 06:54:52,010 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,010 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/Fill/dims/Unsqueeze869
[ 2021-05-22 06:54:52,011 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2021-05-22 06:54:52,011 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,011 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2021-05-22 06:54:52,011 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2021-05-22 06:54:52,012 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,012 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2021-05-22 06:54:52,012 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,012 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice/stack_2
[ 2021-05-22 06:54:52,012 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,012 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,013 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,013 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2021-05-22 06:54:52,013 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,013 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice/stack_1
[ 2021-05-22 06:54:52,013 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,013 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,014 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,014 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2021-05-22 06:54:52,014 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,014 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice/stack
[ 2021-05-22 06:54:52,014 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,014 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,014 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,015 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2021-05-22 06:54:52,015 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,015 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice_1/stack_2
[ 2021-05-22 06:54:52,015 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,015 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,015 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,015 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [2], value = [1 1]
[ 2021-05-22 06:54:52,016 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,016 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice_1/stack_1
[ 2021-05-22 06:54:52,016 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,016 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,016 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,016 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [2], value = [0 0]
[ 2021-05-22 06:54:52,016 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,016 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/strided_slice_1/stack
[ 2021-05-22 06:54:52,016 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,016 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,016 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,017 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [2], value = [0 1]
[ 2021-05-22 06:54:52,017 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,017 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/ExpandDims/dim
[ 2021-05-22 06:54:52,017 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,017 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,017 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,017 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1
[ 2021-05-22 06:54:52,017 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,017 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/default_value
[ 2021-05-22 06:54:52,017 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2021-05-22 06:54:52,017 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,018 ] [ DEBUG ] [ infer:145 ]  Outputs:
[ 2021-05-22 06:54:52,018 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 
[ 2021-05-22 06:54:52,018 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2021-05-22 06:54:52,018 ] [ DEBUG ] [ infer:130 ]  Partial infer for StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/CastDefaultValue
[ 2021-05-22 06:54:52,018 ] [ DEBUG ] [ infer:131 ]  Op: Cast
[ 2021-05-22 06:54:52,018 ] [ DEBUG ] [ infer:132 ]  Inputs:
[ 2021-05-22 06:54:52,018 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 
[ ERROR ]  Cannot infer shapes or values for node "StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/CastDefaultValue".
[ ERROR ]  invalid literal for int() with base 10: ''
[ ERROR ]  
[ ERROR ]  It can happen due to bug in custom shape infer function <function Cast.infer at 0x7fafeebcfa60>.
[ ERROR ]  Or because the node inputs have incorrect values/shapes.
[ ERROR ]  Or because input shapes are incorrect (embedded to the model or passed via --input_shape).
[ 2021-05-22 06:54:52,019 ] [ DEBUG ] [ infer:197 ]  Node "StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/CastDefaultValue" attributes: {'kind': 'op', 'op': 'Cast', 'type': 'Convert', 'version': 'opset1', 'infer': <function Cast.infer at 0x7fafeebcfa60>, 'type_infer': <function Cast.type_infer at 0x7fafeebcf9d0>, 'dst_type': <class 'numpy.int32'>, 'in_ports_count': 1, 'out_ports_count': 1, 'name': 'StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/CastDefaultValue', 'dim_attrs': ['channel_dims', 'spatial_dims', 'batch_dims', 'axis'], 'shape_attrs': ['window', 'stride', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7faf9a524670>), 'name', 'type', 'version'], [('data', [('destination_type', <function Cast.backend_attrs.<locals>.<lambda> at 0x7faf9a524550>)], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {0: {}}, 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': False}
[ ERROR ]  Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>): Stopped shape/value propagation at "StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/CastDefaultValue" node. 
 For more information please refer to Model Optimizer FAQ, question #38. (https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html?question=38#question-38)
[ 2021-05-22 06:54:52,020 ] [ DEBUG ] [ main:361 ]  Traceback (most recent call last):
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/middle/passes/infer.py", line 135, in partial_infer
    node.infer(node)
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/extensions/ops/Cast.py", line 58, in infer
    new_blob, finite_match_count, zero_match_count = convert_blob(node.in_node(0).value, dst_type)
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/middle/passes/convert_data_type.py", line 95, in convert_blob
    converted_blob = blob.astype(dtype=dst_type, casting="unsafe")
ValueError: invalid literal for int() with base 10: ''

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

Traceback (most recent call last):
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 288, in apply_transform
    replacer.find_and_replace_pattern(graph)
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/extensions/middle/PartialInfer.py", line 33, in find_and_replace_pattern
    partial_infer(graph)
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/middle/passes/infer.py", line 198, in partial_infer
    raise Error('Stopped shape/value propagation at "{}" node. '.format(node.soft_get('name')) +
mo.utils.error.Error: Stopped shape/value propagation at "StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/CastDefaultValue" node. 
 For more information please refer to Model Optimizer FAQ, question #38. (https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html?question=38#question-38)

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

Traceback (most recent call last):
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/main.py", line 345, in main
    ret_code = driver(argv)
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/main.py", line 309, in driver
    ret_res = emit_ir(prepare_ir(argv), argv)
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/main.py", line 252, in prepare_ir
    graph = unified_pipeline(argv)
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/pipeline/unified.py", line 25, in unified_pipeline
    class_registration.apply_replacements(graph, [
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 340, in apply_replacements
    apply_replacements_list(graph, replacers_order)
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 326, in apply_replacements_list
    apply_transform(
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/utils/logger.py", line 124, in wrapper
    function(*args, **kwargs)
  File "/opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 306, in apply_transform
    raise Error('Exception occurred during running replacer "{}" ({}): {}'.format(
mo.utils.error.Error: Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>): Stopped shape/value propagation at "StatefulPartitionedCall/text_preprocessor/add_bigrams/SparseToDense/CastDefaultValue" node. 
 For more information please refer to Model Optimizer FAQ, question #38. (https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html?question=38#question-38)