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Path: blob/master/C4 - Convolutional Neural Networks/Week 3/Car detection for Autonomous Driving/model_data/saved_model.pb
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��e �� 8 Const output"dtype" valuetensor" dtypetype NoOp C Placeholder output"dtype" dtypetype" shapeshape: @ ReadVariableOp resource value"dtype" dtypetype� � StatefulPartitionedCall args2Tin output2Tout" Tin list(type)(" Tout list(type)(" ffunc" configstring " config_protostring " executor_typestring � � VarHandleOp resource" containerstring " shared_namestring " dtypetype" shapeshape"# allowed_deviceslist(string) �"serve*2.3.02v2.3.0-rc2-23-gb36436b0878��Q ~ conv2d/kernelVarHandleOp* _output_shapes : * dtype0* shape: * shared_name conv2d/kernel w !conv2d/kernel/Read/ReadVariableOpReadVariableOp conv2d/kernel*& _output_shapes : * dtype0 � batch_normalization/gammaVarHandleOp* _output_shapes : * dtype0* shape: ** shared_namebatch_normalization/gamma � -batch_normalization/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization/gamma* _output_shapes : * dtype0 � batch_normalization/betaVarHandleOp* _output_shapes : * dtype0* shape: *) shared_namebatch_normalization/beta � ,batch_normalization/beta/Read/ReadVariableOpReadVariableOpbatch_normalization/beta* _output_shapes : * dtype0 � batch_normalization/moving_meanVarHandleOp* _output_shapes : * dtype0* shape: *0 shared_name!batch_normalization/moving_mean � 3batch_normalization/moving_mean/Read/ReadVariableOpReadVariableOpbatch_normalization/moving_mean* _output_shapes : * dtype0 � #batch_normalization/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape: *4 shared_name%#batch_normalization/moving_variance � 7batch_normalization/moving_variance/Read/ReadVariableOpReadVariableOp#batch_normalization/moving_variance* _output_shapes : * dtype0 � conv2d_1/kernelVarHandleOp* _output_shapes : * dtype0* shape: @* shared_nameconv2d_1/kernel { #conv2d_1/kernel/Read/ReadVariableOpReadVariableOpconv2d_1/kernel*& _output_shapes : @* dtype0 � batch_normalization_1/gammaVarHandleOp* _output_shapes : * dtype0* shape:@*, shared_namebatch_normalization_1/gamma � /batch_normalization_1/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_1/gamma* _output_shapes :@* dtype0 � batch_normalization_1/betaVarHandleOp* _output_shapes : * dtype0* shape:@*+ shared_namebatch_normalization_1/beta � .batch_normalization_1/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_1/beta* _output_shapes :@* dtype0 � !batch_normalization_1/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:@*2 shared_name#!batch_normalization_1/moving_mean � 5batch_normalization_1/moving_mean/Read/ReadVariableOpReadVariableOp!batch_normalization_1/moving_mean* _output_shapes :@* dtype0 � %batch_normalization_1/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:@*6 shared_name'%batch_normalization_1/moving_variance � 9batch_normalization_1/moving_variance/Read/ReadVariableOpReadVariableOp%batch_normalization_1/moving_variance* _output_shapes :@* dtype0 � conv2d_2/kernelVarHandleOp* _output_shapes : * dtype0* shape:@�* shared_nameconv2d_2/kernel | #conv2d_2/kernel/Read/ReadVariableOpReadVariableOpconv2d_2/kernel*' _output_shapes :@�* dtype0 � batch_normalization_2/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_2/gamma � /batch_normalization_2/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_2/gamma* _output_shapes :�* dtype0 � batch_normalization_2/betaVarHandleOp* _output_shapes : * dtype0* shape:�*+ shared_namebatch_normalization_2/beta � .batch_normalization_2/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_2/beta* _output_shapes :�* dtype0 � !batch_normalization_2/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*2 shared_name#!batch_normalization_2/moving_mean � 5batch_normalization_2/moving_mean/Read/ReadVariableOpReadVariableOp!batch_normalization_2/moving_mean* _output_shapes :�* dtype0 � %batch_normalization_2/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*6 shared_name'%batch_normalization_2/moving_variance � 9batch_normalization_2/moving_variance/Read/ReadVariableOpReadVariableOp%batch_normalization_2/moving_variance* _output_shapes :�* dtype0 � conv2d_3/kernelVarHandleOp* _output_shapes : * dtype0* shape:�@* shared_nameconv2d_3/kernel | #conv2d_3/kernel/Read/ReadVariableOpReadVariableOpconv2d_3/kernel*' _output_shapes :�@* dtype0 � batch_normalization_3/gammaVarHandleOp* _output_shapes : * dtype0* shape:@*, shared_namebatch_normalization_3/gamma � /batch_normalization_3/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_3/gamma* _output_shapes :@* dtype0 � batch_normalization_3/betaVarHandleOp* _output_shapes : * dtype0* shape:@*+ shared_namebatch_normalization_3/beta � .batch_normalization_3/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_3/beta* _output_shapes :@* dtype0 � !batch_normalization_3/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:@*2 shared_name#!batch_normalization_3/moving_mean � 5batch_normalization_3/moving_mean/Read/ReadVariableOpReadVariableOp!batch_normalization_3/moving_mean* _output_shapes :@* dtype0 � %batch_normalization_3/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:@*6 shared_name'%batch_normalization_3/moving_variance � 9batch_normalization_3/moving_variance/Read/ReadVariableOpReadVariableOp%batch_normalization_3/moving_variance* _output_shapes :@* dtype0 � conv2d_4/kernelVarHandleOp* _output_shapes : * dtype0* shape:@�* shared_nameconv2d_4/kernel | #conv2d_4/kernel/Read/ReadVariableOpReadVariableOpconv2d_4/kernel*' _output_shapes :@�* dtype0 � batch_normalization_4/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_4/gamma � /batch_normalization_4/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_4/gamma* _output_shapes :�* dtype0 � batch_normalization_4/betaVarHandleOp* _output_shapes : * dtype0* shape:�*+ shared_namebatch_normalization_4/beta � .batch_normalization_4/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_4/beta* _output_shapes :�* dtype0 � !batch_normalization_4/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*2 shared_name#!batch_normalization_4/moving_mean � 5batch_normalization_4/moving_mean/Read/ReadVariableOpReadVariableOp!batch_normalization_4/moving_mean* _output_shapes :�* dtype0 � %batch_normalization_4/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*6 shared_name'%batch_normalization_4/moving_variance � 9batch_normalization_4/moving_variance/Read/ReadVariableOpReadVariableOp%batch_normalization_4/moving_variance* _output_shapes :�* dtype0 � conv2d_5/kernelVarHandleOp* _output_shapes : * dtype0* shape:��* shared_nameconv2d_5/kernel } #conv2d_5/kernel/Read/ReadVariableOpReadVariableOpconv2d_5/kernel*( _output_shapes :��* dtype0 � batch_normalization_5/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_5/gamma � /batch_normalization_5/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_5/gamma* _output_shapes :�* dtype0 � batch_normalization_5/betaVarHandleOp* _output_shapes : * dtype0* shape:�*+ shared_namebatch_normalization_5/beta � .batch_normalization_5/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_5/beta* _output_shapes :�* dtype0 � !batch_normalization_5/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*2 shared_name#!batch_normalization_5/moving_mean � 5batch_normalization_5/moving_mean/Read/ReadVariableOpReadVariableOp!batch_normalization_5/moving_mean* _output_shapes :�* dtype0 � %batch_normalization_5/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*6 shared_name'%batch_normalization_5/moving_variance � 9batch_normalization_5/moving_variance/Read/ReadVariableOpReadVariableOp%batch_normalization_5/moving_variance* _output_shapes :�* dtype0 � conv2d_6/kernelVarHandleOp* _output_shapes : * dtype0* shape:��* shared_nameconv2d_6/kernel } #conv2d_6/kernel/Read/ReadVariableOpReadVariableOpconv2d_6/kernel*( _output_shapes :��* dtype0 � batch_normalization_6/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_6/gamma � /batch_normalization_6/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_6/gamma* _output_shapes :�* dtype0 � batch_normalization_6/betaVarHandleOp* _output_shapes : * dtype0* shape:�*+ shared_namebatch_normalization_6/beta � .batch_normalization_6/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_6/beta* _output_shapes :�* dtype0 � !batch_normalization_6/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*2 shared_name#!batch_normalization_6/moving_mean � 5batch_normalization_6/moving_mean/Read/ReadVariableOpReadVariableOp!batch_normalization_6/moving_mean* _output_shapes :�* dtype0 � %batch_normalization_6/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*6 shared_name'%batch_normalization_6/moving_variance � 9batch_normalization_6/moving_variance/Read/ReadVariableOpReadVariableOp%batch_normalization_6/moving_variance* _output_shapes :�* dtype0 � conv2d_7/kernelVarHandleOp* _output_shapes : * dtype0* shape:��* shared_nameconv2d_7/kernel } #conv2d_7/kernel/Read/ReadVariableOpReadVariableOpconv2d_7/kernel*( _output_shapes :��* dtype0 � batch_normalization_7/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_7/gamma � /batch_normalization_7/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_7/gamma* _output_shapes :�* dtype0 � batch_normalization_7/betaVarHandleOp* _output_shapes : * dtype0* shape:�*+ shared_namebatch_normalization_7/beta � .batch_normalization_7/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_7/beta* _output_shapes :�* dtype0 � !batch_normalization_7/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*2 shared_name#!batch_normalization_7/moving_mean � 5batch_normalization_7/moving_mean/Read/ReadVariableOpReadVariableOp!batch_normalization_7/moving_mean* _output_shapes :�* dtype0 � %batch_normalization_7/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*6 shared_name'%batch_normalization_7/moving_variance � 9batch_normalization_7/moving_variance/Read/ReadVariableOpReadVariableOp%batch_normalization_7/moving_variance* _output_shapes :�* dtype0 � conv2d_8/kernelVarHandleOp* _output_shapes : * dtype0* shape:��* shared_nameconv2d_8/kernel } #conv2d_8/kernel/Read/ReadVariableOpReadVariableOpconv2d_8/kernel*( _output_shapes :��* dtype0 � batch_normalization_8/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_8/gamma � /batch_normalization_8/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_8/gamma* _output_shapes :�* dtype0 � batch_normalization_8/betaVarHandleOp* _output_shapes : * dtype0* shape:�*+ shared_namebatch_normalization_8/beta � .batch_normalization_8/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_8/beta* _output_shapes :�* dtype0 � !batch_normalization_8/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*2 shared_name#!batch_normalization_8/moving_mean � 5batch_normalization_8/moving_mean/Read/ReadVariableOpReadVariableOp!batch_normalization_8/moving_mean* _output_shapes :�* dtype0 � %batch_normalization_8/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*6 shared_name'%batch_normalization_8/moving_variance � 9batch_normalization_8/moving_variance/Read/ReadVariableOpReadVariableOp%batch_normalization_8/moving_variance* _output_shapes :�* dtype0 � conv2d_9/kernelVarHandleOp* _output_shapes : * dtype0* shape:��* shared_nameconv2d_9/kernel } #conv2d_9/kernel/Read/ReadVariableOpReadVariableOpconv2d_9/kernel*( _output_shapes :��* dtype0 � batch_normalization_9/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_9/gamma � /batch_normalization_9/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_9/gamma* _output_shapes :�* dtype0 � batch_normalization_9/betaVarHandleOp* _output_shapes : * dtype0* shape:�*+ shared_namebatch_normalization_9/beta � .batch_normalization_9/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_9/beta* _output_shapes :�* dtype0 � !batch_normalization_9/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*2 shared_name#!batch_normalization_9/moving_mean � 5batch_normalization_9/moving_mean/Read/ReadVariableOpReadVariableOp!batch_normalization_9/moving_mean* _output_shapes :�* dtype0 � %batch_normalization_9/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*6 shared_name'%batch_normalization_9/moving_variance � 9batch_normalization_9/moving_variance/Read/ReadVariableOpReadVariableOp%batch_normalization_9/moving_variance* _output_shapes :�* dtype0 � conv2d_10/kernelVarHandleOp* _output_shapes : * dtype0* shape:��*! shared_nameconv2d_10/kernel $conv2d_10/kernel/Read/ReadVariableOpReadVariableOpconv2d_10/kernel*( _output_shapes :��* dtype0 � batch_normalization_10/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*- shared_namebatch_normalization_10/gamma � 0batch_normalization_10/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_10/gamma* _output_shapes :�* dtype0 � batch_normalization_10/betaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_10/beta � /batch_normalization_10/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_10/beta* _output_shapes :�* dtype0 � "batch_normalization_10/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*3 shared_name$"batch_normalization_10/moving_mean � 6batch_normalization_10/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_10/moving_mean* _output_shapes :�* dtype0 � &batch_normalization_10/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*7 shared_name(&batch_normalization_10/moving_variance � :batch_normalization_10/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_10/moving_variance* _output_shapes :�* dtype0 � conv2d_11/kernelVarHandleOp* _output_shapes : * dtype0* shape:��*! shared_nameconv2d_11/kernel $conv2d_11/kernel/Read/ReadVariableOpReadVariableOpconv2d_11/kernel*( _output_shapes :��* dtype0 � batch_normalization_11/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*- shared_namebatch_normalization_11/gamma � 0batch_normalization_11/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_11/gamma* _output_shapes :�* dtype0 � batch_normalization_11/betaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_11/beta � /batch_normalization_11/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_11/beta* _output_shapes :�* dtype0 � "batch_normalization_11/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*3 shared_name$"batch_normalization_11/moving_mean � 6batch_normalization_11/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_11/moving_mean* _output_shapes :�* dtype0 � &batch_normalization_11/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*7 shared_name(&batch_normalization_11/moving_variance � :batch_normalization_11/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_11/moving_variance* _output_shapes :�* dtype0 � conv2d_12/kernelVarHandleOp* _output_shapes : * dtype0* shape:��*! shared_nameconv2d_12/kernel $conv2d_12/kernel/Read/ReadVariableOpReadVariableOpconv2d_12/kernel*( _output_shapes :��* dtype0 � batch_normalization_12/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*- shared_namebatch_normalization_12/gamma � 0batch_normalization_12/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_12/gamma* _output_shapes :�* dtype0 � batch_normalization_12/betaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_12/beta � /batch_normalization_12/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_12/beta* _output_shapes :�* dtype0 � "batch_normalization_12/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*3 shared_name$"batch_normalization_12/moving_mean � 6batch_normalization_12/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_12/moving_mean* _output_shapes :�* dtype0 � &batch_normalization_12/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*7 shared_name(&batch_normalization_12/moving_variance � :batch_normalization_12/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_12/moving_variance* _output_shapes :�* dtype0 � conv2d_13/kernelVarHandleOp* _output_shapes : * dtype0* shape:��*! shared_nameconv2d_13/kernel $conv2d_13/kernel/Read/ReadVariableOpReadVariableOpconv2d_13/kernel*( _output_shapes :��* dtype0 � batch_normalization_13/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*- shared_namebatch_normalization_13/gamma � 0batch_normalization_13/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_13/gamma* _output_shapes :�* dtype0 � batch_normalization_13/betaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_13/beta � /batch_normalization_13/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_13/beta* _output_shapes :�* dtype0 � "batch_normalization_13/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*3 shared_name$"batch_normalization_13/moving_mean � 6batch_normalization_13/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_13/moving_mean* _output_shapes :�* dtype0 � &batch_normalization_13/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*7 shared_name(&batch_normalization_13/moving_variance � :batch_normalization_13/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_13/moving_variance* _output_shapes :�* dtype0 � conv2d_14/kernelVarHandleOp* _output_shapes : * dtype0* shape:��*! shared_nameconv2d_14/kernel $conv2d_14/kernel/Read/ReadVariableOpReadVariableOpconv2d_14/kernel*( _output_shapes :��* dtype0 � batch_normalization_14/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*- shared_namebatch_normalization_14/gamma � 0batch_normalization_14/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_14/gamma* _output_shapes :�* dtype0 � batch_normalization_14/betaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_14/beta � /batch_normalization_14/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_14/beta* _output_shapes :�* dtype0 � "batch_normalization_14/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*3 shared_name$"batch_normalization_14/moving_mean � 6batch_normalization_14/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_14/moving_mean* _output_shapes :�* dtype0 � &batch_normalization_14/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*7 shared_name(&batch_normalization_14/moving_variance � :batch_normalization_14/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_14/moving_variance* _output_shapes :�* dtype0 � conv2d_15/kernelVarHandleOp* _output_shapes : * dtype0* shape:��*! shared_nameconv2d_15/kernel $conv2d_15/kernel/Read/ReadVariableOpReadVariableOpconv2d_15/kernel*( _output_shapes :��* dtype0 � batch_normalization_15/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*- shared_namebatch_normalization_15/gamma � 0batch_normalization_15/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_15/gamma* _output_shapes :�* dtype0 � batch_normalization_15/betaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_15/beta � /batch_normalization_15/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_15/beta* _output_shapes :�* dtype0 � "batch_normalization_15/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*3 shared_name$"batch_normalization_15/moving_mean � 6batch_normalization_15/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_15/moving_mean* _output_shapes :�* dtype0 � &batch_normalization_15/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*7 shared_name(&batch_normalization_15/moving_variance � :batch_normalization_15/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_15/moving_variance* _output_shapes :�* dtype0 � conv2d_16/kernelVarHandleOp* _output_shapes : * dtype0* shape:��*! shared_nameconv2d_16/kernel $conv2d_16/kernel/Read/ReadVariableOpReadVariableOpconv2d_16/kernel*( _output_shapes :��* dtype0 � batch_normalization_16/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*- shared_namebatch_normalization_16/gamma � 0batch_normalization_16/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_16/gamma* _output_shapes :�* dtype0 � batch_normalization_16/betaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_16/beta � /batch_normalization_16/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_16/beta* _output_shapes :�* dtype0 � "batch_normalization_16/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*3 shared_name$"batch_normalization_16/moving_mean � 6batch_normalization_16/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_16/moving_mean* _output_shapes :�* dtype0 � &batch_normalization_16/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*7 shared_name(&batch_normalization_16/moving_variance � :batch_normalization_16/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_16/moving_variance* _output_shapes :�* dtype0 � conv2d_17/kernelVarHandleOp* _output_shapes : * dtype0* shape:��*! shared_nameconv2d_17/kernel $conv2d_17/kernel/Read/ReadVariableOpReadVariableOpconv2d_17/kernel*( _output_shapes :��* dtype0 � batch_normalization_17/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*- shared_namebatch_normalization_17/gamma � 0batch_normalization_17/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_17/gamma* _output_shapes :�* dtype0 � batch_normalization_17/betaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_17/beta � /batch_normalization_17/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_17/beta* _output_shapes :�* dtype0 � "batch_normalization_17/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*3 shared_name$"batch_normalization_17/moving_mean � 6batch_normalization_17/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_17/moving_mean* _output_shapes :�* dtype0 � &batch_normalization_17/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*7 shared_name(&batch_normalization_17/moving_variance � :batch_normalization_17/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_17/moving_variance* _output_shapes :�* dtype0 � conv2d_18/kernelVarHandleOp* _output_shapes : * dtype0* shape:��*! shared_nameconv2d_18/kernel $conv2d_18/kernel/Read/ReadVariableOpReadVariableOpconv2d_18/kernel*( _output_shapes :��* dtype0 � batch_normalization_18/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*- shared_namebatch_normalization_18/gamma � 0batch_normalization_18/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_18/gamma* _output_shapes :�* dtype0 � batch_normalization_18/betaVarHandleOp* _output_shapes : * dtype0* shape:�*, shared_namebatch_normalization_18/beta � /batch_normalization_18/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_18/beta* _output_shapes :�* dtype0 � "batch_normalization_18/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:�*3 shared_name$"batch_normalization_18/moving_mean � 6batch_normalization_18/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_18/moving_mean* _output_shapes :�* dtype0 � &batch_normalization_18/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:�*7 shared_name(&batch_normalization_18/moving_variance � :batch_normalization_18/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_18/moving_variance* _output_shapes :�* dtype0 � conv2d_20/kernelVarHandleOp* _output_shapes : * dtype0* shape:�@*! shared_nameconv2d_20/kernel ~ $conv2d_20/kernel/Read/ReadVariableOpReadVariableOpconv2d_20/kernel*' _output_shapes :�@* dtype0 � batch_normalization_20/gammaVarHandleOp* _output_shapes : * dtype0* shape:@*- shared_namebatch_normalization_20/gamma � 0batch_normalization_20/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_20/gamma* _output_shapes :@* dtype0 � batch_normalization_20/betaVarHandleOp* _output_shapes : * dtype0* shape:@*, shared_namebatch_normalization_20/beta � /batch_normalization_20/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_20/beta* _output_shapes :@* dtype0 � "batch_normalization_20/moving_meanVarHandleOp* _output_shapes : * dtype0* shape:@*3 shared_name$"batch_normalization_20/moving_mean � 6batch_normalization_20/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_20/moving_mean* _output_shapes :@* dtype0 � &batch_normalization_20/moving_varianceVarHandleOp* _output_shapes : * dtype0* shape:@*7 shared_name(&batch_normalization_20/moving_variance � :batch_normalization_20/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_20/moving_variance* _output_shapes :@* dtype0 � conv2d_19/kernelVarHandleOp* _output_shapes : * dtype0* shape:��*! shared_nameconv2d_19/kernel $conv2d_19/kernel/Read/ReadVariableOpReadVariableOpconv2d_19/kernel*( _output_shapes :��* dtype0 � batch_normalization_19/gammaVarHandleOp* _output_shapes : * dtype0* shape:�*- shared_namebatch_normalization_19/gamma � 0batch_normalization_19/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_19/gamma* _output_shapes :�* dtype0 � batch_normalization_19/betaVarHandleOp* _output_shapes : * dtype0* shape:�*, 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conv2d/kernelbatch_normalization/gammabatch_normalization/betabatch_normalization/moving_mean#batch_normalization/moving_varianceconv2d_1/kernelbatch_normalization_1/gammabatch_normalization_1/beta!batch_normalization_1/moving_mean%batch_normalization_1/moving_varianceconv2d_2/kernelbatch_normalization_2/gammabatch_normalization_2/beta!batch_normalization_2/moving_mean%batch_normalization_2/moving_varianceconv2d_3/kernelbatch_normalization_3/gammabatch_normalization_3/beta!batch_normalization_3/moving_mean%batch_normalization_3/moving_varianceconv2d_4/kernelbatch_normalization_4/gammabatch_normalization_4/beta!batch_normalization_4/moving_mean%batch_normalization_4/moving_varianceconv2d_5/kernelbatch_normalization_5/gammabatch_normalization_5/beta!batch_normalization_5/moving_mean%batch_normalization_5/moving_varianceconv2d_6/kernelbatch_normalization_6/gammabatch_normalization_6/beta!batch_normalization_6/moving_mean%batch_normalization_6/moving_varianceconv2d_7/kernelbatch_normalization_7/gammabatch_normalization_7/beta!batch_normalization_7/moving_mean%batch_normalization_7/moving_varianceconv2d_8/kernelbatch_normalization_8/gammabatch_normalization_8/beta!batch_normalization_8/moving_mean%batch_normalization_8/moving_varianceconv2d_9/kernelbatch_normalization_9/gammabatch_normalization_9/beta!batch_normalization_9/moving_mean%batch_normalization_9/moving_varianceconv2d_10/kernelbatch_normalization_10/gammabatch_normalization_10/beta"batch_normalization_10/moving_mean&batch_normalization_10/moving_varianceconv2d_11/kernelbatch_normalization_11/gammabatch_normalization_11/beta"batch_normalization_11/moving_mean&batch_normalization_11/moving_varianceconv2d_12/kernelbatch_normalization_12/gammabatch_normalization_12/beta"batch_normalization_12/moving_mean&batch_normalization_12/moving_varianceconv2d_13/kernelbatch_normalization_13/gammabatch_normalization_13/beta"batch_normalization_13/moving_mean&batch_normalization_13/moving_varianceconv2d_14/kernelbatch_normalization_14/gammabatch_normalization_14/beta"batch_normalization_14/moving_mean&batch_normalization_14/moving_varianceconv2d_15/kernelbatch_normalization_15/gammabatch_normalization_15/beta"batch_normalization_15/moving_mean&batch_normalization_15/moving_varianceconv2d_16/kernelbatch_normalization_16/gammabatch_normalization_16/beta"batch_normalization_16/moving_mean&batch_normalization_16/moving_varianceconv2d_17/kernelbatch_normalization_17/gammabatch_normalization_17/beta"batch_normalization_17/moving_mean&batch_normalization_17/moving_varianceconv2d_18/kernelbatch_normalization_18/gammabatch_normalization_18/beta"batch_normalization_18/moving_mean&batch_normalization_18/moving_varianceconv2d_20/kernelconv2d_19/kernelbatch_normalization_20/gammabatch_normalization_20/beta"batch_normalization_20/moving_mean&batch_normalization_20/moving_variancebatch_normalization_19/gammabatch_normalization_19/beta"batch_normalization_19/moving_mean&batch_normalization_19/moving_varianceconv2d_21/kernelbatch_normalization_21/gammabatch_normalization_21/beta"batch_normalization_21/moving_mean&batch_normalization_21/moving_varianceconv2d_22/kernelconv2d_22/bias*| 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StatefulPartitionedCall_1StatefulPartitionedCallsaver_filename!conv2d/kernel/Read/ReadVariableOp-batch_normalization/gamma/Read/ReadVariableOp,batch_normalization/beta/Read/ReadVariableOp3batch_normalization/moving_mean/Read/ReadVariableOp7batch_normalization/moving_variance/Read/ReadVariableOp#conv2d_1/kernel/Read/ReadVariableOp/batch_normalization_1/gamma/Read/ReadVariableOp.batch_normalization_1/beta/Read/ReadVariableOp5batch_normalization_1/moving_mean/Read/ReadVariableOp9batch_normalization_1/moving_variance/Read/ReadVariableOp#conv2d_2/kernel/Read/ReadVariableOp/batch_normalization_2/gamma/Read/ReadVariableOp.batch_normalization_2/beta/Read/ReadVariableOp5batch_normalization_2/moving_mean/Read/ReadVariableOp9batch_normalization_2/moving_variance/Read/ReadVariableOp#conv2d_3/kernel/Read/ReadVariableOp/batch_normalization_3/gamma/Read/ReadVariableOp.batch_normalization_3/beta/Read/ReadVariableOp5batch_normalization_3/moving_mean/Read/ReadVariableOp9batch_normalization_3/moving_variance/Read/ReadVariableOp#conv2d_4/kernel/Read/ReadVariableOp/batch_normalization_4/gamma/Read/ReadVariableOp.batch_normalization_4/beta/Read/ReadVariableOp5batch_normalization_4/moving_mean/Read/ReadVariableOp9batch_normalization_4/moving_variance/Read/ReadVariableOp#conv2d_5/kernel/Read/ReadVariableOp/batch_normalization_5/gamma/Read/ReadVariableOp.batch_normalization_5/beta/Read/ReadVariableOp5batch_normalization_5/moving_mean/Read/ReadVariableOp9batch_normalization_5/moving_variance/Read/ReadVariableOp#conv2d_6/kernel/Read/ReadVariableOp/batch_normalization_6/gamma/Read/ReadVariableOp.batch_normalization_6/beta/Read/ReadVariableOp5batch_normalization_6/moving_mean/Read/ReadVariableOp9batch_normalization_6/moving_variance/Read/ReadVariableOp#conv2d_7/kernel/Read/ReadVariableOp/batch_normalization_7/gamma/Read/ReadVariableOp.batch_normalization_7/beta/Read/ReadVariableOp5batch_normalization_7/moving_mean/Read/ReadVariableOp9batch_normalization_7/moving_variance/Read/ReadVariableOp#conv2d_8/kernel/Read/ReadVariableOp/batch_normalization_8/gamma/Read/ReadVariableOp.batch_normalization_8/beta/Read/ReadVariableOp5batch_normalization_8/moving_mean/Read/ReadVariableOp9batch_normalization_8/moving_variance/Read/ReadVariableOp#conv2d_9/kernel/Read/ReadVariableOp/batch_normalization_9/gamma/Read/ReadVariableOp.batch_normalization_9/beta/Read/ReadVariableOp5batch_normalization_9/moving_mean/Read/ReadVariableOp9batch_normalization_9/moving_variance/Read/ReadVariableOp$conv2d_10/kernel/Read/ReadVariableOp0batch_normalization_10/gamma/Read/ReadVariableOp/batch_normalization_10/beta/Read/ReadVariableOp6batch_normalization_10/moving_mean/Read/ReadVariableOp:batch_normalization_10/moving_variance/Read/ReadVariableOp$conv2d_11/kernel/Read/ReadVariableOp0batch_normalization_11/gamma/Read/ReadVariableOp/batch_normalization_11/beta/Read/ReadVariableOp6batch_normalization_11/moving_mean/Read/ReadVariableOp:batch_normalization_11/moving_variance/Read/ReadVariableOp$conv2d_12/kernel/Read/ReadVariableOp0batch_normalization_12/gamma/Read/ReadVariableOp/batch_normalization_12/beta/Read/ReadVariableOp6batch_normalization_12/moving_mean/Read/ReadVariableOp:batch_normalization_12/moving_variance/Read/ReadVariableOp$conv2d_13/kernel/Read/ReadVariableOp0batch_normalization_13/gamma/Read/ReadVariableOp/batch_normalization_13/beta/Read/ReadVariableOp6batch_normalization_13/moving_mean/Read/ReadVariableOp:batch_normalization_13/moving_variance/Read/ReadVariableOp$conv2d_14/kernel/Read/ReadVariableOp0batch_normalization_14/gamma/Read/ReadVariableOp/batch_normalization_14/beta/Read/ReadVariableOp6batch_normalization_14/moving_mean/Read/ReadVariableOp:batch_normalization_14/moving_variance/Read/ReadVariableOp$conv2d_15/kernel/Read/ReadVariableOp0batch_normalization_15/gamma/Read/ReadVariableOp/batch_normalization_15/beta/Read/ReadVariableOp6batch_normalization_15/moving_mean/Read/ReadVariableOp:batch_normalization_15/moving_variance/Read/ReadVariableOp$conv2d_16/kernel/Read/ReadVariableOp0batch_normalization_16/gamma/Read/ReadVariableOp/batch_normalization_16/beta/Read/ReadVariableOp6batch_normalization_16/moving_mean/Read/ReadVariableOp:batch_normalization_16/moving_variance/Read/ReadVariableOp$conv2d_17/kernel/Read/ReadVariableOp0batch_normalization_17/gamma/Read/ReadVariableOp/batch_normalization_17/beta/Read/ReadVariableOp6batch_normalization_17/moving_mean/Read/ReadVariableOp:batch_normalization_17/moving_variance/Read/ReadVariableOp$conv2d_18/kernel/Read/ReadVariableOp0batch_normalization_18/gamma/Read/ReadVariableOp/batch_normalization_18/beta/Read/ReadVariableOp6batch_normalization_18/moving_mean/Read/ReadVariableOp:batch_normalization_18/moving_variance/Read/ReadVariableOp$conv2d_20/kernel/Read/ReadVariableOp0batch_normalization_20/gamma/Read/ReadVariableOp/batch_normalization_20/beta/Read/ReadVariableOp6batch_normalization_20/moving_mean/Read/ReadVariableOp:batch_normalization_20/moving_variance/Read/ReadVariableOp$conv2d_19/kernel/Read/ReadVariableOp0batch_normalization_19/gamma/Read/ReadVariableOp/batch_normalization_19/beta/Read/ReadVariableOp6batch_normalization_19/moving_mean/Read/ReadVariableOp:batch_normalization_19/moving_variance/Read/ReadVariableOp$conv2d_21/kernel/Read/ReadVariableOp0batch_normalization_21/gamma/Read/ReadVariableOp/batch_normalization_21/beta/Read/ReadVariableOp6batch_normalization_21/moving_mean/Read/ReadVariableOp:batch_normalization_21/moving_variance/Read/ReadVariableOp$conv2d_22/kernel/Read/ReadVariableOp"conv2d_22/bias/Read/ReadVariableOpConst*} Tinv t2r* Tout 2* _collective_manager_ids * _output_shapes : * _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *' f"R __inference__traced_save_15554 � StatefulPartitionedCall_2StatefulPartitionedCallsaver_filename conv2d/kernelbatch_normalization/gammabatch_normalization/betabatch_normalization/moving_mean#batch_normalization/moving_varianceconv2d_1/kernelbatch_normalization_1/gammabatch_normalization_1/beta!batch_normalization_1/moving_mean%batch_normalization_1/moving_varianceconv2d_2/kernelbatch_normalization_2/gammabatch_normalization_2/beta!batch_normalization_2/moving_mean%batch_normalization_2/moving_varianceconv2d_3/kernelbatch_normalization_3/gammabatch_normalization_3/beta!batch_normalization_3/moving_mean%batch_normalization_3/moving_varianceconv2d_4/kernelbatch_normalization_4/gammabatch_normalization_4/beta!batch_normalization_4/moving_mean%batch_normalization_4/moving_varianceconv2d_5/kernelbatch_normalization_5/gammabatch_normalization_5/beta!batch_normalization_5/moving_mean%batch_normalization_5/moving_varianceconv2d_6/kernelbatch_normalization_6/gammabatch_normalization_6/beta!batch_normalization_6/moving_mean%batch_normalization_6/moving_varianceconv2d_7/kernelbatch_normalization_7/gammabatch_normalization_7/beta!batch_normalization_7/moving_mean%batch_normalization_7/moving_varianceconv2d_8/kernelbatch_normalization_8/gammabatch_normalization_8/beta!batch_normalization_8/moving_mean%batch_normalization_8/moving_varianceconv2d_9/kernelbatch_normalization_9/gammabatch_normalization_9/beta!batch_normalization_9/moving_mean%batch_normalization_9/moving_varianceconv2d_10/kernelbatch_normalization_10/gammabatch_normalization_10/beta"batch_normalization_10/moving_mean&batch_normalization_10/moving_varianceconv2d_11/kernelbatch_normalization_11/gammabatch_normalization_11/beta"batch_normalization_11/moving_mean&batch_normalization_11/moving_varianceconv2d_12/kernelbatch_normalization_12/gammabatch_normalization_12/beta"batch_normalization_12/moving_mean&batch_normalization_12/moving_varianceconv2d_13/kernelbatch_normalization_13/gammabatch_normalization_13/beta"batch_normalization_13/moving_mean&batch_normalization_13/moving_varianceconv2d_14/kernelbatch_normalization_14/gammabatch_normalization_14/beta"batch_normalization_14/moving_mean&batch_normalization_14/moving_varianceconv2d_15/kernelbatch_normalization_15/gammabatch_normalization_15/beta"batch_normalization_15/moving_mean&batch_normalization_15/moving_varianceconv2d_16/kernelbatch_normalization_16/gammabatch_normalization_16/beta"batch_normalization_16/moving_mean&batch_normalization_16/moving_varianceconv2d_17/kernelbatch_normalization_17/gammabatch_normalization_17/beta"batch_normalization_17/moving_mean&batch_normalization_17/moving_varianceconv2d_18/kernelbatch_normalization_18/gammabatch_normalization_18/beta"batch_normalization_18/moving_mean&batch_normalization_18/moving_varianceconv2d_20/kernelbatch_normalization_20/gammabatch_normalization_20/beta"batch_normalization_20/moving_mean&batch_normalization_20/moving_varianceconv2d_19/kernelbatch_normalization_19/gammabatch_normalization_19/beta"batch_normalization_19/moving_mean&batch_normalization_19/moving_varianceconv2d_21/kernelbatch_normalization_21/gammabatch_normalization_21/beta"batch_normalization_21/moving_mean&batch_normalization_21/moving_varianceconv2d_22/kernelconv2d_22/bias*| Tinu s2q* Tout 2* _collective_manager_ids * _output_shapes : * _read_only_resource_inputs *- config_proto CPU GPU 2J 8� ** f%R# !__inference__traced_restore_15900��L � � 5__inference_batch_normalization_3_layer_call_fn_11916 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_3_layer_call_and_return_conditional_losses_52562 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*@ _input_shapes/ -:�����������@::::22 StatefulPartitionedCallStatefulPartitionedCall:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � 5__inference_batch_normalization_8_layer_call_fn_12723 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_8_layer_call_and_return_conditional_losses_34492 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_15_layer_call_and_return_conditional_losses_4220 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs �$ � +__inference_functional_1_layer_call_fn_9295 input_1 unknown unknown_0 unknown_1 unknown_2 unknown_3 unknown_4 unknown_5 unknown_6 unknown_7 unknown_8 unknown_9 unknown_10 unknown_11 unknown_12 unknown_13 unknown_14 unknown_15 unknown_16 unknown_17 unknown_18 unknown_19 unknown_20 unknown_21 unknown_22 unknown_23 unknown_24 unknown_25 unknown_26 unknown_27 unknown_28 unknown_29 unknown_30 unknown_31 unknown_32 unknown_33 unknown_34 unknown_35 unknown_36 unknown_37 unknown_38 unknown_39 unknown_40 unknown_41 unknown_42 unknown_43 unknown_44 unknown_45 unknown_46 unknown_47 unknown_48 unknown_49 unknown_50 unknown_51 unknown_52 unknown_53 unknown_54 unknown_55 unknown_56 unknown_57 unknown_58 unknown_59 unknown_60 unknown_61 unknown_62 unknown_63 unknown_64 unknown_65 unknown_66 unknown_67 unknown_68 unknown_69 unknown_70 unknown_71 unknown_72 unknown_73 unknown_74 unknown_75 unknown_76 unknown_77 unknown_78 unknown_79 unknown_80 unknown_81 unknown_82 unknown_83 unknown_84 unknown_85 unknown_86 unknown_87 unknown_88 unknown_89 unknown_90 unknown_91 unknown_92 unknown_93 unknown_94 unknown_95 unknown_96 unknown_97 unknown_98 unknown_99 unknown_100 unknown_101 unknown_102 unknown_103 unknown_104 unknown_105 unknown_106 unknown_107 unknown_108 unknown_109 unknown_110 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinput_1unknown unknown_0 unknown_1 unknown_2 unknown_3 unknown_4 unknown_5 unknown_6 unknown_7 unknown_8 unknown_9 unknown_10 unknown_11 unknown_12 unknown_13 unknown_14 unknown_15 unknown_16 unknown_17 unknown_18 unknown_19 unknown_20 unknown_21 unknown_22 unknown_23 unknown_24 unknown_25 unknown_26 unknown_27 unknown_28 unknown_29 unknown_30 unknown_31 unknown_32 unknown_33 unknown_34 unknown_35 unknown_36 unknown_37 unknown_38 unknown_39 unknown_40 unknown_41 unknown_42 unknown_43 unknown_44 unknown_45 unknown_46 unknown_47 unknown_48 unknown_49 unknown_50 unknown_51 unknown_52 unknown_53 unknown_54 unknown_55 unknown_56 unknown_57 unknown_58 unknown_59 unknown_60 unknown_61 unknown_62 unknown_63 unknown_64 unknown_65 unknown_66 unknown_67 unknown_68 unknown_69 unknown_70 unknown_71 unknown_72 unknown_73 unknown_74 unknown_75 unknown_76 unknown_77 unknown_78 unknown_79 unknown_80 unknown_81 unknown_82 unknown_83 unknown_84 unknown_85 unknown_86 unknown_87 unknown_88 unknown_89 unknown_90 unknown_91 unknown_92 unknown_93 unknown_94 unknown_95 unknown_96 unknown_97 unknown_98 unknown_99unknown_100unknown_101unknown_102unknown_103unknown_104unknown_105unknown_106unknown_107unknown_108unknown_109unknown_110*| Tinu s2q* Tout 2* _collective_manager_ids *0 _output_shapes :����������*� _read_only_resource_inputst rp !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnop*- config_proto CPU GPU 2J 8� *O fJRH F__inference_functional_1_layer_call_and_return_conditional_losses_90682 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*� _input_shapes� �:�����������::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::22 StatefulPartitionedCallStatefulPartitionedCall:Z V 1 _output_shapes :����������� ! _user_specified_name input_1 �� �B !__inference__traced_restore_15900 file_prefix" assignvariableop_conv2d_kernel0 ,assignvariableop_1_batch_normalization_gamma/ +assignvariableop_2_batch_normalization_beta6 2assignvariableop_3_batch_normalization_moving_mean: 6assignvariableop_4_batch_normalization_moving_variance& "assignvariableop_5_conv2d_1_kernel2 .assignvariableop_6_batch_normalization_1_gamma1 -assignvariableop_7_batch_normalization_1_beta8 4assignvariableop_8_batch_normalization_1_moving_mean< 8assignvariableop_9_batch_normalization_1_moving_variance' #assignvariableop_10_conv2d_2_kernel3 /assignvariableop_11_batch_normalization_2_gamma2 .assignvariableop_12_batch_normalization_2_beta9 5assignvariableop_13_batch_normalization_2_moving_mean= 9assignvariableop_14_batch_normalization_2_moving_variance' #assignvariableop_15_conv2d_3_kernel3 /assignvariableop_16_batch_normalization_3_gamma2 .assignvariableop_17_batch_normalization_3_beta9 5assignvariableop_18_batch_normalization_3_moving_mean= 9assignvariableop_19_batch_normalization_3_moving_variance' #assignvariableop_20_conv2d_4_kernel3 /assignvariableop_21_batch_normalization_4_gamma2 .assignvariableop_22_batch_normalization_4_beta9 5assignvariableop_23_batch_normalization_4_moving_mean= 9assignvariableop_24_batch_normalization_4_moving_variance' #assignvariableop_25_conv2d_5_kernel3 /assignvariableop_26_batch_normalization_5_gamma2 .assignvariableop_27_batch_normalization_5_beta9 5assignvariableop_28_batch_normalization_5_moving_mean= 9assignvariableop_29_batch_normalization_5_moving_variance' #assignvariableop_30_conv2d_6_kernel3 /assignvariableop_31_batch_normalization_6_gamma2 .assignvariableop_32_batch_normalization_6_beta9 5assignvariableop_33_batch_normalization_6_moving_mean= 9assignvariableop_34_batch_normalization_6_moving_variance' #assignvariableop_35_conv2d_7_kernel3 /assignvariableop_36_batch_normalization_7_gamma2 .assignvariableop_37_batch_normalization_7_beta9 5assignvariableop_38_batch_normalization_7_moving_mean= 9assignvariableop_39_batch_normalization_7_moving_variance' #assignvariableop_40_conv2d_8_kernel3 /assignvariableop_41_batch_normalization_8_gamma2 .assignvariableop_42_batch_normalization_8_beta9 5assignvariableop_43_batch_normalization_8_moving_mean= 9assignvariableop_44_batch_normalization_8_moving_variance' #assignvariableop_45_conv2d_9_kernel3 /assignvariableop_46_batch_normalization_9_gamma2 .assignvariableop_47_batch_normalization_9_beta9 5assignvariableop_48_batch_normalization_9_moving_mean= 9assignvariableop_49_batch_normalization_9_moving_variance( $assignvariableop_50_conv2d_10_kernel4 0assignvariableop_51_batch_normalization_10_gamma3 /assignvariableop_52_batch_normalization_10_beta: 6assignvariableop_53_batch_normalization_10_moving_mean> :assignvariableop_54_batch_normalization_10_moving_variance( $assignvariableop_55_conv2d_11_kernel4 0assignvariableop_56_batch_normalization_11_gamma3 /assignvariableop_57_batch_normalization_11_beta: 6assignvariableop_58_batch_normalization_11_moving_mean> :assignvariableop_59_batch_normalization_11_moving_variance( $assignvariableop_60_conv2d_12_kernel4 0assignvariableop_61_batch_normalization_12_gamma3 /assignvariableop_62_batch_normalization_12_beta: 6assignvariableop_63_batch_normalization_12_moving_mean> :assignvariableop_64_batch_normalization_12_moving_variance( $assignvariableop_65_conv2d_13_kernel4 0assignvariableop_66_batch_normalization_13_gamma3 /assignvariableop_67_batch_normalization_13_beta: 6assignvariableop_68_batch_normalization_13_moving_mean> :assignvariableop_69_batch_normalization_13_moving_variance( $assignvariableop_70_conv2d_14_kernel4 0assignvariableop_71_batch_normalization_14_gamma3 /assignvariableop_72_batch_normalization_14_beta: 6assignvariableop_73_batch_normalization_14_moving_mean> :assignvariableop_74_batch_normalization_14_moving_variance( 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:assignvariableop_94_batch_normalization_18_moving_variance( $assignvariableop_95_conv2d_20_kernel4 0assignvariableop_96_batch_normalization_20_gamma3 /assignvariableop_97_batch_normalization_20_beta: 6assignvariableop_98_batch_normalization_20_moving_mean> :assignvariableop_99_batch_normalization_20_moving_variance) %assignvariableop_100_conv2d_19_kernel5 1assignvariableop_101_batch_normalization_19_gamma4 0assignvariableop_102_batch_normalization_19_beta; 7assignvariableop_103_batch_normalization_19_moving_mean? ;assignvariableop_104_batch_normalization_19_moving_variance) %assignvariableop_105_conv2d_21_kernel5 1assignvariableop_106_batch_normalization_21_gamma4 0assignvariableop_107_batch_normalization_21_beta; 7assignvariableop_108_batch_normalization_21_moving_mean? ;assignvariableop_109_batch_normalization_21_moving_variance) %assignvariableop_110_conv2d_22_kernel' #assignvariableop_111_conv2d_22_bias 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O__inference_batch_normalization_2_layer_call_and_return_conditional_losses_2801 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � O__inference_batch_normalization_1_layer_call_and_return_conditional_losses_5015 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:�����������@:@:@:@:@:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*@ _input_shapes/ -:�����������@::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � c G__inference_leaky_re_lu_6_layer_call_and_return_conditional_losses_5631 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������LL�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*/ _input_shapes :���������LL�:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_6369 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14104 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � p __inference_loss_fn_21_15184? ;conv2d_21_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_21/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_21_kernel_regularizer_square_readvariableop_resource*( _output_shapes :� �* dtype024 2conv2d_21/kernel/Regularizer/Square/ReadVariableOp� #conv2d_21/kernel/Regularizer/SquareSquare:conv2d_21/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :� �2% #conv2d_21/kernel/Regularizer/Square� "conv2d_21/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_21/kernel/Regularizer/Const� conv2d_21/kernel/Regularizer/SumSum'conv2d_21/kernel/Regularizer/Square:y:0+conv2d_21/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_21/kernel/Regularizer/Sum� "conv2d_21/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_21/kernel/Regularizer/mul/x� conv2d_21/kernel/Regularizer/mulMul+conv2d_21/kernel/Regularizer/mul/x:output:0)conv2d_21/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_21/kernel/Regularizer/mulg IdentityIdentity$conv2d_21/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � o )__inference_conv2d_10_layer_call_fn_12936 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_10_layer_call_and_return_conditional_losses_59862 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � o )__inference_conv2d_12_layer_call_fn_13264 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_12_layer_call_and_return_conditional_losses_62082 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � 6__inference_batch_normalization_19_layer_call_fn_14627 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_19_layer_call_and_return_conditional_losses_47092 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � C__inference_conv2d_19_layer_call_and_return_conditional_losses_7011 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_19/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_19/kernel/Regularizer/Square/ReadVariableOp� #conv2d_19/kernel/Regularizer/SquareSquare:conv2d_19/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_19/kernel/Regularizer/Square� "conv2d_19/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_19/kernel/Regularizer/Const� conv2d_19/kernel/Regularizer/SumSum'conv2d_19/kernel/Regularizer/Square:y:0+conv2d_19/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_19/kernel/Regularizer/Sum� "conv2d_19/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_19/kernel/Regularizer/mul/x� conv2d_19/kernel/Regularizer/mulMul+conv2d_19/kernel/Regularizer/mul/x:output:0)conv2d_19/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_19/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � O__inference_batch_normalization_3_layer_call_and_return_conditional_losses_2905 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! 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space_to_depth_x2/SpaceToDepthSpaceToDepth&leaky_re_lu_20/LeakyRelu:activations:0* T0*0 _output_shapes :����������* block_size2 space_to_depth_x2/SpaceToDepth� leaky_re_lu_19/LeakyRelu LeakyRelu+batch_normalization_19/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2 leaky_re_lu_19/LeakyRelut concatenate/concat/axisConst* _output_shapes : * dtype0* value B :2 concatenate/concat/axis� concatenate/concatConcatV2'space_to_depth_x2/SpaceToDepth:output:0&leaky_re_lu_19/LeakyRelu:activations:0 concatenate/concat/axis:output:0* N* T0*0 _output_shapes :���������� 2 concatenate/concat� conv2d_21/Conv2D/ReadVariableOpReadVariableOp(conv2d_21_conv2d_readvariableop_resource*( _output_shapes :� �* dtype02! conv2d_21/Conv2D/ReadVariableOp� conv2d_21/Conv2DConv2Dconcatenate/concat:output:0'conv2d_21/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 conv2d_21/Conv2D� %batch_normalization_21/ReadVariableOpReadVariableOp.batch_normalization_21_readvariableop_resource* _output_shapes :�* dtype02' %batch_normalization_21/ReadVariableOp� 'batch_normalization_21/ReadVariableOp_1ReadVariableOp0batch_normalization_21_readvariableop_1_resource* _output_shapes :�* dtype02) 'batch_normalization_21/ReadVariableOp_1� 6batch_normalization_21/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_21_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype028 6batch_normalization_21/FusedBatchNormV3/ReadVariableOp� 8batch_normalization_21/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_21_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02: 8batch_normalization_21/FusedBatchNormV3/ReadVariableOp_1� 'batch_normalization_21/FusedBatchNormV3FusedBatchNormV3conv2d_21/Conv2D:output:0-batch_normalization_21/ReadVariableOp:value:0/batch_normalization_21/ReadVariableOp_1:value:0>batch_normalization_21/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_21/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2) 'batch_normalization_21/FusedBatchNormV3� %batch_normalization_21/AssignNewValueAssignVariableOp?batch_normalization_21_fusedbatchnormv3_readvariableop_resource4batch_normalization_21/FusedBatchNormV3:batch_mean:07^batch_normalization_21/FusedBatchNormV3/ReadVariableOp*R _classH FDloc:@batch_normalization_21/FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02' %batch_normalization_21/AssignNewValue� 'batch_normalization_21/AssignNewValue_1AssignVariableOpAbatch_normalization_21_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_21/FusedBatchNormV3:batch_variance:09^batch_normalization_21/FusedBatchNormV3/ReadVariableOp_1*T _classJ HFloc:@batch_normalization_21/FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02) 'batch_normalization_21/AssignNewValue_1� leaky_re_lu_21/LeakyRelu LeakyRelu+batch_normalization_21/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2 leaky_re_lu_21/LeakyRelu� conv2d_22/Conv2D/ReadVariableOpReadVariableOp(conv2d_22_conv2d_readvariableop_resource*( _output_shapes :��* dtype02! conv2d_22/Conv2D/ReadVariableOp� conv2d_22/Conv2DConv2D&leaky_re_lu_21/LeakyRelu:activations:0'conv2d_22/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 conv2d_22/Conv2D� conv2d_22/BiasAdd/ReadVariableOpReadVariableOp)conv2d_22_biasadd_readvariableop_resource* _output_shapes :�* dtype02" conv2d_22/BiasAdd/ReadVariableOp� conv2d_22/BiasAddBiasAddconv2d_22/Conv2D:output:0(conv2d_22/BiasAdd/ReadVariableOp:value:0* T0*0 _output_shapes :����������2 conv2d_22/BiasAdd� /conv2d/kernel/Regularizer/Square/ReadVariableOpReadVariableOp%conv2d_conv2d_readvariableop_resource*& _output_shapes : * dtype021 /conv2d/kernel/Regularizer/Square/ReadVariableOp� conv2d/kernel/Regularizer/SquareSquare7conv2d/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : 2" conv2d/kernel/Regularizer/Square� conv2d/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2! conv2d/kernel/Regularizer/Const� conv2d/kernel/Regularizer/SumSum$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/Sum� conv2d/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2! conv2d/kernel/Regularizer/mul/x� conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/mul� 1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_1_conv2d_readvariableop_resource*& _output_shapes : @* dtype023 1conv2d_1/kernel/Regularizer/Square/ReadVariableOp� "conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : @2$ "conv2d_1/kernel/Regularizer/Square� !conv2d_1/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_1/kernel/Regularizer/Const� conv2d_1/kernel/Regularizer/SumSum&conv2d_1/kernel/Regularizer/Square:y:0*conv2d_1/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/Sum� !conv2d_1/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_1/kernel/Regularizer/mul/x� conv2d_1/kernel/Regularizer/mulMul*conv2d_1/kernel/Regularizer/mul/x:output:0(conv2d_1/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/mul� 1conv2d_2/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_2_conv2d_readvariableop_resource*' _output_shapes :@�* dtype023 1conv2d_2/kernel/Regularizer/Square/ReadVariableOp� "conv2d_2/kernel/Regularizer/SquareSquare9conv2d_2/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_2/kernel/Regularizer/Square� !conv2d_2/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_2/kernel/Regularizer/Const� conv2d_2/kernel/Regularizer/SumSum&conv2d_2/kernel/Regularizer/Square:y:0*conv2d_2/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/Sum� !conv2d_2/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_2/kernel/Regularizer/mul/x� conv2d_2/kernel/Regularizer/mulMul*conv2d_2/kernel/Regularizer/mul/x:output:0(conv2d_2/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/mul� 1conv2d_3/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_3_conv2d_readvariableop_resource*' _output_shapes :�@* dtype023 1conv2d_3/kernel/Regularizer/Square/ReadVariableOp� "conv2d_3/kernel/Regularizer/SquareSquare9conv2d_3/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2$ "conv2d_3/kernel/Regularizer/Square� !conv2d_3/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_3/kernel/Regularizer/Const� conv2d_3/kernel/Regularizer/SumSum&conv2d_3/kernel/Regularizer/Square:y:0*conv2d_3/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/Sum� !conv2d_3/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_3/kernel/Regularizer/mul/x� conv2d_3/kernel/Regularizer/mulMul*conv2d_3/kernel/Regularizer/mul/x:output:0(conv2d_3/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/mul� 1conv2d_4/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_4_conv2d_readvariableop_resource*' _output_shapes :@�* dtype023 1conv2d_4/kernel/Regularizer/Square/ReadVariableOp� "conv2d_4/kernel/Regularizer/SquareSquare9conv2d_4/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_4/kernel/Regularizer/Square� !conv2d_4/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_4/kernel/Regularizer/Const� conv2d_4/kernel/Regularizer/SumSum&conv2d_4/kernel/Regularizer/Square:y:0*conv2d_4/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/Sum� !conv2d_4/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_4/kernel/Regularizer/mul/x� conv2d_4/kernel/Regularizer/mulMul*conv2d_4/kernel/Regularizer/mul/x:output:0(conv2d_4/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/mul� 1conv2d_5/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_5_conv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_5/kernel/Regularizer/Square/ReadVariableOp� "conv2d_5/kernel/Regularizer/SquareSquare9conv2d_5/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_5/kernel/Regularizer/Square� !conv2d_5/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_5/kernel/Regularizer/Const� conv2d_5/kernel/Regularizer/SumSum&conv2d_5/kernel/Regularizer/Square:y:0*conv2d_5/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/Sum� !conv2d_5/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_5/kernel/Regularizer/mul/x� conv2d_5/kernel/Regularizer/mulMul*conv2d_5/kernel/Regularizer/mul/x:output:0(conv2d_5/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/mul� 1conv2d_6/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_6_conv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_6/kernel/Regularizer/Square/ReadVariableOp� "conv2d_6/kernel/Regularizer/SquareSquare9conv2d_6/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_6/kernel/Regularizer/Square� !conv2d_6/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_6/kernel/Regularizer/Const� conv2d_6/kernel/Regularizer/SumSum&conv2d_6/kernel/Regularizer/Square:y:0*conv2d_6/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/Sum� !conv2d_6/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_6/kernel/Regularizer/mul/x� conv2d_6/kernel/Regularizer/mulMul*conv2d_6/kernel/Regularizer/mul/x:output:0(conv2d_6/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/mul� 1conv2d_7/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_7_conv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_7/kernel/Regularizer/Square/ReadVariableOp� "conv2d_7/kernel/Regularizer/SquareSquare9conv2d_7/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_7/kernel/Regularizer/Square� !conv2d_7/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_7/kernel/Regularizer/Const� conv2d_7/kernel/Regularizer/SumSum&conv2d_7/kernel/Regularizer/Square:y:0*conv2d_7/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/Sum� !conv2d_7/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_7/kernel/Regularizer/mul/x� conv2d_7/kernel/Regularizer/mulMul*conv2d_7/kernel/Regularizer/mul/x:output:0(conv2d_7/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/mul� 1conv2d_8/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_8_conv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_8/kernel/Regularizer/Square/ReadVariableOp� "conv2d_8/kernel/Regularizer/SquareSquare9conv2d_8/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_8/kernel/Regularizer/Square� !conv2d_8/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_8/kernel/Regularizer/Const� conv2d_8/kernel/Regularizer/SumSum&conv2d_8/kernel/Regularizer/Square:y:0*conv2d_8/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/Sum� !conv2d_8/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_8/kernel/Regularizer/mul/x� conv2d_8/kernel/Regularizer/mulMul*conv2d_8/kernel/Regularizer/mul/x:output:0(conv2d_8/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/mul� 1conv2d_9/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_9_conv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_9/kernel/Regularizer/Square/ReadVariableOp� "conv2d_9/kernel/Regularizer/SquareSquare9conv2d_9/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_9/kernel/Regularizer/Square� !conv2d_9/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_9/kernel/Regularizer/Const� conv2d_9/kernel/Regularizer/SumSum&conv2d_9/kernel/Regularizer/Square:y:0*conv2d_9/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/Sum� !conv2d_9/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_9/kernel/Regularizer/mul/x� conv2d_9/kernel/Regularizer/mulMul*conv2d_9/kernel/Regularizer/mul/x:output:0(conv2d_9/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/mul� 2conv2d_10/kernel/Regularizer/Square/ReadVariableOpReadVariableOp(conv2d_10_conv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_10/kernel/Regularizer/Square/ReadVariableOp� #conv2d_10/kernel/Regularizer/SquareSquare:conv2d_10/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_10/kernel/Regularizer/Square� "conv2d_10/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_10/kernel/Regularizer/Const� conv2d_10/kernel/Regularizer/SumSum'conv2d_10/kernel/Regularizer/Square:y:0+conv2d_10/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/Sum� "conv2d_10/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_10/kernel/Regularizer/mul/x� conv2d_10/kernel/Regularizer/mulMul+conv2d_10/kernel/Regularizer/mul/x:output:0)conv2d_10/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/mul� 2conv2d_11/kernel/Regularizer/Square/ReadVariableOpReadVariableOp(conv2d_11_conv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_11/kernel/Regularizer/Square/ReadVariableOp� #conv2d_11/kernel/Regularizer/SquareSquare:conv2d_11/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_11/kernel/Regularizer/Square� "conv2d_11/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_11/kernel/Regularizer/Const� conv2d_11/kernel/Regularizer/SumSum'conv2d_11/kernel/Regularizer/Square:y:0+conv2d_11/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/Sum� "conv2d_11/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_11/kernel/Regularizer/mul/x� conv2d_11/kernel/Regularizer/mulMul+conv2d_11/kernel/Regularizer/mul/x:output:0)conv2d_11/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/mul� 2conv2d_12/kernel/Regularizer/Square/ReadVariableOpReadVariableOp(conv2d_12_conv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_12/kernel/Regularizer/Square/ReadVariableOp� #conv2d_12/kernel/Regularizer/SquareSquare:conv2d_12/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_12/kernel/Regularizer/Square� "conv2d_12/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_12/kernel/Regularizer/Const� conv2d_12/kernel/Regularizer/SumSum'conv2d_12/kernel/Regularizer/Square:y:0+conv2d_12/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/Sum� "conv2d_12/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_12/kernel/Regularizer/mul/x� conv2d_12/kernel/Regularizer/mulMul+conv2d_12/kernel/Regularizer/mul/x:output:0)conv2d_12/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/mul� 2conv2d_13/kernel/Regularizer/Square/ReadVariableOpReadVariableOp(conv2d_13_conv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_13/kernel/Regularizer/Square/ReadVariableOp� #conv2d_13/kernel/Regularizer/SquareSquare:conv2d_13/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_13/kernel/Regularizer/Square� "conv2d_13/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_13/kernel/Regularizer/Const� conv2d_13/kernel/Regularizer/SumSum'conv2d_13/kernel/Regularizer/Square:y:0+conv2d_13/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_13/kernel/Regularizer/Sum� "conv2d_13/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_13/kernel/Regularizer/mul/x� 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_read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_2_layer_call_and_return_conditional_losses_50962" conv2d_2/StatefulPartitionedCall� -batch_normalization_2/StatefulPartitionedCallStatefulPartitionedCall)conv2d_2/StatefulPartitionedCall:output:0batch_normalization_2_7550batch_normalization_2_7552batch_normalization_2_7554batch_normalization_2_7556* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_2_layer_call_and_return_conditional_losses_51452/ -batch_normalization_2/StatefulPartitionedCall� leaky_re_lu_2/PartitionedCallPartitionedCall6batch_normalization_2/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_2_layer_call_and_return_conditional_losses_51862 leaky_re_lu_2/PartitionedCall� conv2d_3/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_2/PartitionedCall:output:0 conv2d_3_7560* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_3_layer_call_and_return_conditional_losses_52072" conv2d_3/StatefulPartitionedCall� -batch_normalization_3/StatefulPartitionedCallStatefulPartitionedCall)conv2d_3/StatefulPartitionedCall:output:0batch_normalization_3_7563batch_normalization_3_7565batch_normalization_3_7567batch_normalization_3_7569* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_3_layer_call_and_return_conditional_losses_52562/ -batch_normalization_3/StatefulPartitionedCall� leaky_re_lu_3/PartitionedCallPartitionedCall6batch_normalization_3/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes 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B__inference_conv2d_5_layer_call_and_return_conditional_losses_54302" conv2d_5/StatefulPartitionedCall� -batch_normalization_5/StatefulPartitionedCallStatefulPartitionedCall)conv2d_5/StatefulPartitionedCall:output:0batch_normalization_5_7590batch_normalization_5_7592batch_normalization_5_7594batch_normalization_5_7596* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_5_layer_call_and_return_conditional_losses_54792/ -batch_normalization_5/StatefulPartitionedCall� leaky_re_lu_5/PartitionedCallPartitionedCall6batch_normalization_5/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_5_layer_call_and_return_conditional_losses_55202 leaky_re_lu_5/PartitionedCall� 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B__inference_conv2d_8_layer_call_and_return_conditional_losses_57642" conv2d_8/StatefulPartitionedCall� -batch_normalization_8/StatefulPartitionedCallStatefulPartitionedCall)conv2d_8/StatefulPartitionedCall:output:0batch_normalization_8_7630batch_normalization_8_7632batch_normalization_8_7634batch_normalization_8_7636* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_8_layer_call_and_return_conditional_losses_58132/ -batch_normalization_8/StatefulPartitionedCall� leaky_re_lu_8/PartitionedCallPartitionedCall6batch_normalization_8/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_8_layer_call_and_return_conditional_losses_58542 leaky_re_lu_8/PartitionedCall� 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.batch_normalization_15/StatefulPartitionedCallStatefulPartitionedCall*conv2d_15/StatefulPartitionedCall:output:0batch_normalization_15_7722batch_normalization_15_7724batch_normalization_15_7726batch_normalization_15_7728* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_15_layer_call_and_return_conditional_losses_659120 .batch_normalization_15/StatefulPartitionedCall� leaky_re_lu_15/PartitionedCallPartitionedCall7batch_normalization_15/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_15_layer_call_and_return_conditional_losses_66322 leaky_re_lu_15/PartitionedCall� !conv2d_16/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_15/PartitionedCall:output:0conv2d_16_7732* Tin 2* Tout 2* _collective_manager_ids *0 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H__inference_leaky_re_lu_16_layer_call_and_return_conditional_losses_67432 leaky_re_lu_16/PartitionedCall� !conv2d_17/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_16/PartitionedCall:output:0conv2d_17_7745* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_17_layer_call_and_return_conditional_losses_67642# !conv2d_17/StatefulPartitionedCall� .batch_normalization_17/StatefulPartitionedCallStatefulPartitionedCall*conv2d_17/StatefulPartitionedCall:output:0batch_normalization_17_7748batch_normalization_17_7750batch_normalization_17_7752batch_normalization_17_7754* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_681320 .batch_normalization_17/StatefulPartitionedCall� 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_read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_18_layer_call_and_return_conditional_losses_692420 .batch_normalization_18/StatefulPartitionedCall� leaky_re_lu_18/PartitionedCallPartitionedCall7batch_normalization_18/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_18_layer_call_and_return_conditional_losses_69652 leaky_re_lu_18/PartitionedCall� !conv2d_20/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_12/PartitionedCall:output:0conv2d_20_7771* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_20_layer_call_and_return_conditional_losses_69862# !conv2d_20/StatefulPartitionedCall� !conv2d_19/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_18/PartitionedCall:output:0conv2d_19_7774* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_19_layer_call_and_return_conditional_losses_70112# !conv2d_19/StatefulPartitionedCall� .batch_normalization_20/StatefulPartitionedCallStatefulPartitionedCall*conv2d_20/StatefulPartitionedCall:output:0batch_normalization_20_7777batch_normalization_20_7779batch_normalization_20_7781batch_normalization_20_7783* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_20_layer_call_and_return_conditional_losses_706020 .batch_normalization_20/StatefulPartitionedCall� .batch_normalization_19/StatefulPartitionedCallStatefulPartitionedCall*conv2d_19/StatefulPartitionedCall:output:0batch_normalization_19_7786batch_normalization_19_7788batch_normalization_19_7790batch_normalization_19_7792* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_19_layer_call_and_return_conditional_losses_713320 .batch_normalization_19/StatefulPartitionedCall� leaky_re_lu_20/PartitionedCallPartitionedCall7batch_normalization_20/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_20_layer_call_and_return_conditional_losses_71742 leaky_re_lu_20/PartitionedCall� !space_to_depth_x2/PartitionedCallPartitionedCall'leaky_re_lu_20/PartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *T fORM K__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_71922# !space_to_depth_x2/PartitionedCall� leaky_re_lu_19/PartitionedCallPartitionedCall7batch_normalization_19/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_19_layer_call_and_return_conditional_losses_72102 leaky_re_lu_19/PartitionedCall� concatenate/PartitionedCallPartitionedCall*space_to_depth_x2/PartitionedCall:output:0'leaky_re_lu_19/PartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������� * _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *N fIRG E__inference_concatenate_layer_call_and_return_conditional_losses_72252 concatenate/PartitionedCall� !conv2d_21/StatefulPartitionedCallStatefulPartitionedCall$concatenate/PartitionedCall:output:0conv2d_21_7799* 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H__inference_leaky_re_lu_21_layer_call_and_return_conditional_losses_73372 leaky_re_lu_21/PartitionedCall� !conv2d_22/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_21/PartitionedCall:output:0conv2d_22_7812conv2d_22_7814* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_22_layer_call_and_return_conditional_losses_73612# !conv2d_22/StatefulPartitionedCall� /conv2d/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_7519*& _output_shapes : * dtype021 /conv2d/kernel/Regularizer/Square/ReadVariableOp� conv2d/kernel/Regularizer/SquareSquare7conv2d/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : 2" conv2d/kernel/Regularizer/Square� conv2d/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2! conv2d/kernel/Regularizer/Const� conv2d/kernel/Regularizer/SumSum$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/Sum� conv2d/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2! conv2d/kernel/Regularizer/mul/x� conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/mul� 1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_1_7533*& _output_shapes : @* dtype023 1conv2d_1/kernel/Regularizer/Square/ReadVariableOp� "conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : @2$ "conv2d_1/kernel/Regularizer/Square� !conv2d_1/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_1/kernel/Regularizer/Const� conv2d_1/kernel/Regularizer/SumSum&conv2d_1/kernel/Regularizer/Square:y:0*conv2d_1/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/Sum� !conv2d_1/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_1/kernel/Regularizer/mul/x� conv2d_1/kernel/Regularizer/mulMul*conv2d_1/kernel/Regularizer/mul/x:output:0(conv2d_1/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/mul� 1conv2d_2/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_2_7547*' _output_shapes :@�* dtype023 1conv2d_2/kernel/Regularizer/Square/ReadVariableOp� "conv2d_2/kernel/Regularizer/SquareSquare9conv2d_2/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_2/kernel/Regularizer/Square� !conv2d_2/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_2/kernel/Regularizer/Const� conv2d_2/kernel/Regularizer/SumSum&conv2d_2/kernel/Regularizer/Square:y:0*conv2d_2/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/Sum� !conv2d_2/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_2/kernel/Regularizer/mul/x� conv2d_2/kernel/Regularizer/mulMul*conv2d_2/kernel/Regularizer/mul/x:output:0(conv2d_2/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/mul� 1conv2d_3/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_3_7560*' _output_shapes :�@* dtype023 1conv2d_3/kernel/Regularizer/Square/ReadVariableOp� "conv2d_3/kernel/Regularizer/SquareSquare9conv2d_3/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2$ "conv2d_3/kernel/Regularizer/Square� !conv2d_3/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_3/kernel/Regularizer/Const� conv2d_3/kernel/Regularizer/SumSum&conv2d_3/kernel/Regularizer/Square:y:0*conv2d_3/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/Sum� !conv2d_3/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_3/kernel/Regularizer/mul/x� conv2d_3/kernel/Regularizer/mulMul*conv2d_3/kernel/Regularizer/mul/x:output:0(conv2d_3/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/mul� 1conv2d_4/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_4_7573*' _output_shapes :@�* dtype023 1conv2d_4/kernel/Regularizer/Square/ReadVariableOp� "conv2d_4/kernel/Regularizer/SquareSquare9conv2d_4/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_4/kernel/Regularizer/Square� !conv2d_4/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_4/kernel/Regularizer/Const� conv2d_4/kernel/Regularizer/SumSum&conv2d_4/kernel/Regularizer/Square:y:0*conv2d_4/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/Sum� !conv2d_4/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_4/kernel/Regularizer/mul/x� conv2d_4/kernel/Regularizer/mulMul*conv2d_4/kernel/Regularizer/mul/x:output:0(conv2d_4/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/mul� 1conv2d_5/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_5_7587*( _output_shapes :��* dtype023 1conv2d_5/kernel/Regularizer/Square/ReadVariableOp� "conv2d_5/kernel/Regularizer/SquareSquare9conv2d_5/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_5/kernel/Regularizer/Square� !conv2d_5/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_5/kernel/Regularizer/Const� conv2d_5/kernel/Regularizer/SumSum&conv2d_5/kernel/Regularizer/Square:y:0*conv2d_5/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/Sum� !conv2d_5/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_5/kernel/Regularizer/mul/x� conv2d_5/kernel/Regularizer/mulMul*conv2d_5/kernel/Regularizer/mul/x:output:0(conv2d_5/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/mul� 1conv2d_6/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_6_7600*( _output_shapes :��* dtype023 1conv2d_6/kernel/Regularizer/Square/ReadVariableOp� "conv2d_6/kernel/Regularizer/SquareSquare9conv2d_6/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_6/kernel/Regularizer/Square� !conv2d_6/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_6/kernel/Regularizer/Const� conv2d_6/kernel/Regularizer/SumSum&conv2d_6/kernel/Regularizer/Square:y:0*conv2d_6/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/Sum� !conv2d_6/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_6/kernel/Regularizer/mul/x� conv2d_6/kernel/Regularizer/mulMul*conv2d_6/kernel/Regularizer/mul/x:output:0(conv2d_6/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/mul� 1conv2d_7/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_7_7613*( _output_shapes :��* dtype023 1conv2d_7/kernel/Regularizer/Square/ReadVariableOp� "conv2d_7/kernel/Regularizer/SquareSquare9conv2d_7/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_7/kernel/Regularizer/Square� !conv2d_7/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_7/kernel/Regularizer/Const� conv2d_7/kernel/Regularizer/SumSum&conv2d_7/kernel/Regularizer/Square:y:0*conv2d_7/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/Sum� !conv2d_7/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_7/kernel/Regularizer/mul/x� conv2d_7/kernel/Regularizer/mulMul*conv2d_7/kernel/Regularizer/mul/x:output:0(conv2d_7/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/mul� 1conv2d_8/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_8_7627*( _output_shapes :��* dtype023 1conv2d_8/kernel/Regularizer/Square/ReadVariableOp� "conv2d_8/kernel/Regularizer/SquareSquare9conv2d_8/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_8/kernel/Regularizer/Square� !conv2d_8/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_8/kernel/Regularizer/Const� conv2d_8/kernel/Regularizer/SumSum&conv2d_8/kernel/Regularizer/Square:y:0*conv2d_8/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/Sum� !conv2d_8/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_8/kernel/Regularizer/mul/x� conv2d_8/kernel/Regularizer/mulMul*conv2d_8/kernel/Regularizer/mul/x:output:0(conv2d_8/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/mul� 1conv2d_9/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_9_7640*( _output_shapes :��* dtype023 1conv2d_9/kernel/Regularizer/Square/ReadVariableOp� "conv2d_9/kernel/Regularizer/SquareSquare9conv2d_9/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_9/kernel/Regularizer/Square� !conv2d_9/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_9/kernel/Regularizer/Const� conv2d_9/kernel/Regularizer/SumSum&conv2d_9/kernel/Regularizer/Square:y:0*conv2d_9/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/Sum� !conv2d_9/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_9/kernel/Regularizer/mul/x� conv2d_9/kernel/Regularizer/mulMul*conv2d_9/kernel/Regularizer/mul/x:output:0(conv2d_9/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/mul� 2conv2d_10/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_10_7653*( _output_shapes :��* dtype024 2conv2d_10/kernel/Regularizer/Square/ReadVariableOp� #conv2d_10/kernel/Regularizer/SquareSquare:conv2d_10/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_10/kernel/Regularizer/Square� "conv2d_10/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_10/kernel/Regularizer/Const� 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-batch_normalization_6/StatefulPartitionedCall-batch_normalization_6/StatefulPartitionedCall2^ -batch_normalization_7/StatefulPartitionedCall-batch_normalization_7/StatefulPartitionedCall2^ -batch_normalization_8/StatefulPartitionedCall-batch_normalization_8/StatefulPartitionedCall2^ -batch_normalization_9/StatefulPartitionedCall-batch_normalization_9/StatefulPartitionedCall2@ conv2d/StatefulPartitionedCallconv2d/StatefulPartitionedCall2D conv2d_1/StatefulPartitionedCall conv2d_1/StatefulPartitionedCall2F !conv2d_10/StatefulPartitionedCall!conv2d_10/StatefulPartitionedCall2F !conv2d_11/StatefulPartitionedCall!conv2d_11/StatefulPartitionedCall2F !conv2d_12/StatefulPartitionedCall!conv2d_12/StatefulPartitionedCall2F !conv2d_13/StatefulPartitionedCall!conv2d_13/StatefulPartitionedCall2F !conv2d_14/StatefulPartitionedCall!conv2d_14/StatefulPartitionedCall2F !conv2d_15/StatefulPartitionedCall!conv2d_15/StatefulPartitionedCall2F 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conv2d_9/StatefulPartitionedCall conv2d_9/StatefulPartitionedCall:Z V 1 _output_shapes :����������� ! _user_specified_name input_1 � �) F__inference_functional_1_layer_call_and_return_conditional_losses_8399 inputs conv2d_7962 batch_normalization_7965 batch_normalization_7967 batch_normalization_7969 batch_normalization_7971 conv2d_1_7976 batch_normalization_1_7979 batch_normalization_1_7981 batch_normalization_1_7983 batch_normalization_1_7985 conv2d_2_7990 batch_normalization_2_7993 batch_normalization_2_7995 batch_normalization_2_7997 batch_normalization_2_7999 conv2d_3_8003 batch_normalization_3_8006 batch_normalization_3_8008 batch_normalization_3_8010 batch_normalization_3_8012 conv2d_4_8016 batch_normalization_4_8019 batch_normalization_4_8021 batch_normalization_4_8023 batch_normalization_4_8025 conv2d_5_8030 batch_normalization_5_8033 batch_normalization_5_8035 batch_normalization_5_8037 batch_normalization_5_8039 conv2d_6_8043 batch_normalization_6_8046 batch_normalization_6_8048 batch_normalization_6_8050 batch_normalization_6_8052 conv2d_7_8056 batch_normalization_7_8059 batch_normalization_7_8061 batch_normalization_7_8063 batch_normalization_7_8065 conv2d_8_8070 batch_normalization_8_8073 batch_normalization_8_8075 batch_normalization_8_8077 batch_normalization_8_8079 conv2d_9_8083 batch_normalization_9_8086 batch_normalization_9_8088 batch_normalization_9_8090 batch_normalization_9_8092 conv2d_10_8096 batch_normalization_10_8099 batch_normalization_10_8101 batch_normalization_10_8103 batch_normalization_10_8105 conv2d_11_8109 batch_normalization_11_8112 batch_normalization_11_8114 batch_normalization_11_8116 batch_normalization_11_8118 conv2d_12_8122 batch_normalization_12_8125 batch_normalization_12_8127 batch_normalization_12_8129 batch_normalization_12_8131 conv2d_13_8136 batch_normalization_13_8139 batch_normalization_13_8141 batch_normalization_13_8143 batch_normalization_13_8145 conv2d_14_8149 batch_normalization_14_8152 batch_normalization_14_8154 batch_normalization_14_8156 batch_normalization_14_8158 conv2d_15_8162 batch_normalization_15_8165 batch_normalization_15_8167 batch_normalization_15_8169 batch_normalization_15_8171 conv2d_16_8175 batch_normalization_16_8178 batch_normalization_16_8180 batch_normalization_16_8182 batch_normalization_16_8184 conv2d_17_8188 batch_normalization_17_8191 batch_normalization_17_8193 batch_normalization_17_8195 batch_normalization_17_8197 conv2d_18_8201 batch_normalization_18_8204 batch_normalization_18_8206 batch_normalization_18_8208 batch_normalization_18_8210 conv2d_20_8214 conv2d_19_8217 batch_normalization_20_8220 batch_normalization_20_8222 batch_normalization_20_8224 batch_normalization_20_8226 batch_normalization_19_8229 batch_normalization_19_8231 batch_normalization_19_8233 batch_normalization_19_8235 conv2d_21_8242 batch_normalization_21_8245 batch_normalization_21_8247 batch_normalization_21_8249 batch_normalization_21_8251 conv2d_22_8255 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.batch_normalization_15/StatefulPartitionedCallStatefulPartitionedCall*conv2d_15/StatefulPartitionedCall:output:0batch_normalization_15_8165batch_normalization_15_8167batch_normalization_15_8169batch_normalization_15_8171* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_15_layer_call_and_return_conditional_losses_657320 .batch_normalization_15/StatefulPartitionedCall� leaky_re_lu_15/PartitionedCallPartitionedCall7batch_normalization_15/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_15_layer_call_and_return_conditional_losses_66322 leaky_re_lu_15/PartitionedCall� !conv2d_16/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_15/PartitionedCall:output:0conv2d_16_8175* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_16_layer_call_and_return_conditional_losses_66532# !conv2d_16/StatefulPartitionedCall� .batch_normalization_16/StatefulPartitionedCallStatefulPartitionedCall*conv2d_16/StatefulPartitionedCall:output:0batch_normalization_16_8178batch_normalization_16_8180batch_normalization_16_8182batch_normalization_16_8184* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_16_layer_call_and_return_conditional_losses_668420 .batch_normalization_16/StatefulPartitionedCall� leaky_re_lu_16/PartitionedCallPartitionedCall7batch_normalization_16/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_16_layer_call_and_return_conditional_losses_67432 leaky_re_lu_16/PartitionedCall� !conv2d_17/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_16/PartitionedCall:output:0conv2d_17_8188* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_17_layer_call_and_return_conditional_losses_67642# !conv2d_17/StatefulPartitionedCall� .batch_normalization_17/StatefulPartitionedCallStatefulPartitionedCall*conv2d_17/StatefulPartitionedCall:output:0batch_normalization_17_8191batch_normalization_17_8193batch_normalization_17_8195batch_normalization_17_8197* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_679520 .batch_normalization_17/StatefulPartitionedCall� 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_read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_18_layer_call_and_return_conditional_losses_690620 .batch_normalization_18/StatefulPartitionedCall� leaky_re_lu_18/PartitionedCallPartitionedCall7batch_normalization_18/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_18_layer_call_and_return_conditional_losses_69652 leaky_re_lu_18/PartitionedCall� !conv2d_20/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_12/PartitionedCall:output:0conv2d_20_8214* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_20_layer_call_and_return_conditional_losses_69862# !conv2d_20/StatefulPartitionedCall� !conv2d_19/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_18/PartitionedCall:output:0conv2d_19_8217* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_19_layer_call_and_return_conditional_losses_70112# !conv2d_19/StatefulPartitionedCall� .batch_normalization_20/StatefulPartitionedCallStatefulPartitionedCall*conv2d_20/StatefulPartitionedCall:output:0batch_normalization_20_8220batch_normalization_20_8222batch_normalization_20_8224batch_normalization_20_8226* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_20_layer_call_and_return_conditional_losses_704220 .batch_normalization_20/StatefulPartitionedCall� .batch_normalization_19/StatefulPartitionedCallStatefulPartitionedCall*conv2d_19/StatefulPartitionedCall:output:0batch_normalization_19_8229batch_normalization_19_8231batch_normalization_19_8233batch_normalization_19_8235* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_19_layer_call_and_return_conditional_losses_711520 .batch_normalization_19/StatefulPartitionedCall� leaky_re_lu_20/PartitionedCallPartitionedCall7batch_normalization_20/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_20_layer_call_and_return_conditional_losses_71742 leaky_re_lu_20/PartitionedCall� !space_to_depth_x2/PartitionedCallPartitionedCall'leaky_re_lu_20/PartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *T fORM K__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_71872# !space_to_depth_x2/PartitionedCall� leaky_re_lu_19/PartitionedCallPartitionedCall7batch_normalization_19/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_19_layer_call_and_return_conditional_losses_72102 leaky_re_lu_19/PartitionedCall� concatenate/PartitionedCallPartitionedCall*space_to_depth_x2/PartitionedCall:output:0'leaky_re_lu_19/PartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������� * _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *N fIRG E__inference_concatenate_layer_call_and_return_conditional_losses_72252 concatenate/PartitionedCall� !conv2d_21/StatefulPartitionedCallStatefulPartitionedCall$concatenate/PartitionedCall:output:0conv2d_21_8242* 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H__inference_leaky_re_lu_21_layer_call_and_return_conditional_losses_73372 leaky_re_lu_21/PartitionedCall� !conv2d_22/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_21/PartitionedCall:output:0conv2d_22_8255conv2d_22_8257* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_22_layer_call_and_return_conditional_losses_73612# !conv2d_22/StatefulPartitionedCall� /conv2d/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_7962*& _output_shapes : * dtype021 /conv2d/kernel/Regularizer/Square/ReadVariableOp� conv2d/kernel/Regularizer/SquareSquare7conv2d/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : 2" conv2d/kernel/Regularizer/Square� conv2d/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2! conv2d/kernel/Regularizer/Const� conv2d/kernel/Regularizer/SumSum$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/Sum� conv2d/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2! conv2d/kernel/Regularizer/mul/x� conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/mul� 1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_1_7976*& _output_shapes : @* dtype023 1conv2d_1/kernel/Regularizer/Square/ReadVariableOp� "conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : @2$ "conv2d_1/kernel/Regularizer/Square� !conv2d_1/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_1/kernel/Regularizer/Const� conv2d_1/kernel/Regularizer/SumSum&conv2d_1/kernel/Regularizer/Square:y:0*conv2d_1/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/Sum� !conv2d_1/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_1/kernel/Regularizer/mul/x� conv2d_1/kernel/Regularizer/mulMul*conv2d_1/kernel/Regularizer/mul/x:output:0(conv2d_1/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/mul� 1conv2d_2/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_2_7990*' _output_shapes :@�* dtype023 1conv2d_2/kernel/Regularizer/Square/ReadVariableOp� "conv2d_2/kernel/Regularizer/SquareSquare9conv2d_2/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_2/kernel/Regularizer/Square� !conv2d_2/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_2/kernel/Regularizer/Const� conv2d_2/kernel/Regularizer/SumSum&conv2d_2/kernel/Regularizer/Square:y:0*conv2d_2/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/Sum� !conv2d_2/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_2/kernel/Regularizer/mul/x� conv2d_2/kernel/Regularizer/mulMul*conv2d_2/kernel/Regularizer/mul/x:output:0(conv2d_2/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/mul� 1conv2d_3/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_3_8003*' _output_shapes :�@* dtype023 1conv2d_3/kernel/Regularizer/Square/ReadVariableOp� "conv2d_3/kernel/Regularizer/SquareSquare9conv2d_3/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2$ "conv2d_3/kernel/Regularizer/Square� !conv2d_3/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_3/kernel/Regularizer/Const� conv2d_3/kernel/Regularizer/SumSum&conv2d_3/kernel/Regularizer/Square:y:0*conv2d_3/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/Sum� !conv2d_3/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_3/kernel/Regularizer/mul/x� conv2d_3/kernel/Regularizer/mulMul*conv2d_3/kernel/Regularizer/mul/x:output:0(conv2d_3/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/mul� 1conv2d_4/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_4_8016*' _output_shapes :@�* dtype023 1conv2d_4/kernel/Regularizer/Square/ReadVariableOp� "conv2d_4/kernel/Regularizer/SquareSquare9conv2d_4/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_4/kernel/Regularizer/Square� !conv2d_4/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_4/kernel/Regularizer/Const� conv2d_4/kernel/Regularizer/SumSum&conv2d_4/kernel/Regularizer/Square:y:0*conv2d_4/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/Sum� !conv2d_4/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_4/kernel/Regularizer/mul/x� conv2d_4/kernel/Regularizer/mulMul*conv2d_4/kernel/Regularizer/mul/x:output:0(conv2d_4/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/mul� 1conv2d_5/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_5_8030*( _output_shapes :��* dtype023 1conv2d_5/kernel/Regularizer/Square/ReadVariableOp� "conv2d_5/kernel/Regularizer/SquareSquare9conv2d_5/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_5/kernel/Regularizer/Square� !conv2d_5/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_5/kernel/Regularizer/Const� conv2d_5/kernel/Regularizer/SumSum&conv2d_5/kernel/Regularizer/Square:y:0*conv2d_5/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/Sum� !conv2d_5/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_5/kernel/Regularizer/mul/x� conv2d_5/kernel/Regularizer/mulMul*conv2d_5/kernel/Regularizer/mul/x:output:0(conv2d_5/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/mul� 1conv2d_6/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_6_8043*( _output_shapes :��* dtype023 1conv2d_6/kernel/Regularizer/Square/ReadVariableOp� "conv2d_6/kernel/Regularizer/SquareSquare9conv2d_6/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_6/kernel/Regularizer/Square� !conv2d_6/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_6/kernel/Regularizer/Const� conv2d_6/kernel/Regularizer/SumSum&conv2d_6/kernel/Regularizer/Square:y:0*conv2d_6/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/Sum� !conv2d_6/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_6/kernel/Regularizer/mul/x� conv2d_6/kernel/Regularizer/mulMul*conv2d_6/kernel/Regularizer/mul/x:output:0(conv2d_6/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/mul� 1conv2d_7/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_7_8056*( _output_shapes :��* dtype023 1conv2d_7/kernel/Regularizer/Square/ReadVariableOp� "conv2d_7/kernel/Regularizer/SquareSquare9conv2d_7/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_7/kernel/Regularizer/Square� !conv2d_7/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_7/kernel/Regularizer/Const� conv2d_7/kernel/Regularizer/SumSum&conv2d_7/kernel/Regularizer/Square:y:0*conv2d_7/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/Sum� !conv2d_7/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_7/kernel/Regularizer/mul/x� conv2d_7/kernel/Regularizer/mulMul*conv2d_7/kernel/Regularizer/mul/x:output:0(conv2d_7/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/mul� 1conv2d_8/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_8_8070*( _output_shapes :��* dtype023 1conv2d_8/kernel/Regularizer/Square/ReadVariableOp� "conv2d_8/kernel/Regularizer/SquareSquare9conv2d_8/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_8/kernel/Regularizer/Square� !conv2d_8/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_8/kernel/Regularizer/Const� conv2d_8/kernel/Regularizer/SumSum&conv2d_8/kernel/Regularizer/Square:y:0*conv2d_8/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/Sum� !conv2d_8/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_8/kernel/Regularizer/mul/x� conv2d_8/kernel/Regularizer/mulMul*conv2d_8/kernel/Regularizer/mul/x:output:0(conv2d_8/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/mul� 1conv2d_9/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_9_8083*( _output_shapes :��* dtype023 1conv2d_9/kernel/Regularizer/Square/ReadVariableOp� "conv2d_9/kernel/Regularizer/SquareSquare9conv2d_9/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_9/kernel/Regularizer/Square� !conv2d_9/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_9/kernel/Regularizer/Const� conv2d_9/kernel/Regularizer/SumSum&conv2d_9/kernel/Regularizer/Square:y:0*conv2d_9/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/Sum� !conv2d_9/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_9/kernel/Regularizer/mul/x� conv2d_9/kernel/Regularizer/mulMul*conv2d_9/kernel/Regularizer/mul/x:output:0(conv2d_9/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/mul� 2conv2d_10/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_10_8096*( _output_shapes :��* dtype024 2conv2d_10/kernel/Regularizer/Square/ReadVariableOp� #conv2d_10/kernel/Regularizer/SquareSquare:conv2d_10/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_10/kernel/Regularizer/Square� "conv2d_10/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_10/kernel/Regularizer/Const� conv2d_10/kernel/Regularizer/SumSum'conv2d_10/kernel/Regularizer/Square:y:0+conv2d_10/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/Sum� "conv2d_10/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_10/kernel/Regularizer/mul/x� conv2d_10/kernel/Regularizer/mulMul+conv2d_10/kernel/Regularizer/mul/x:output:0)conv2d_10/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/mul� 2conv2d_11/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_11_8109*( _output_shapes :��* dtype024 2conv2d_11/kernel/Regularizer/Square/ReadVariableOp� #conv2d_11/kernel/Regularizer/SquareSquare:conv2d_11/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_11/kernel/Regularizer/Square� "conv2d_11/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_11/kernel/Regularizer/Const� conv2d_11/kernel/Regularizer/SumSum'conv2d_11/kernel/Regularizer/Square:y:0+conv2d_11/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/Sum� "conv2d_11/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_11/kernel/Regularizer/mul/x� conv2d_11/kernel/Regularizer/mulMul+conv2d_11/kernel/Regularizer/mul/x:output:0)conv2d_11/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/mul� 2conv2d_12/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_12_8122*( _output_shapes :��* dtype024 2conv2d_12/kernel/Regularizer/Square/ReadVariableOp� #conv2d_12/kernel/Regularizer/SquareSquare:conv2d_12/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_12/kernel/Regularizer/Square� "conv2d_12/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_12/kernel/Regularizer/Const� conv2d_12/kernel/Regularizer/SumSum'conv2d_12/kernel/Regularizer/Square:y:0+conv2d_12/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/Sum� "conv2d_12/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_12/kernel/Regularizer/mul/x� conv2d_12/kernel/Regularizer/mulMul+conv2d_12/kernel/Regularizer/mul/x:output:0)conv2d_12/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/mul� 2conv2d_13/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_13_8136*( _output_shapes :��* dtype024 2conv2d_13/kernel/Regularizer/Square/ReadVariableOp� #conv2d_13/kernel/Regularizer/SquareSquare:conv2d_13/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_13/kernel/Regularizer/Square� "conv2d_13/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_13/kernel/Regularizer/Const� conv2d_13/kernel/Regularizer/SumSum'conv2d_13/kernel/Regularizer/Square:y:0+conv2d_13/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_13/kernel/Regularizer/Sum� "conv2d_13/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_13/kernel/Regularizer/mul/x� conv2d_13/kernel/Regularizer/mulMul+conv2d_13/kernel/Regularizer/mul/x:output:0)conv2d_13/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_13/kernel/Regularizer/mul� 2conv2d_14/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_14_8149*( _output_shapes :��* dtype024 2conv2d_14/kernel/Regularizer/Square/ReadVariableOp� #conv2d_14/kernel/Regularizer/SquareSquare:conv2d_14/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_14/kernel/Regularizer/Square� "conv2d_14/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_14/kernel/Regularizer/Const� conv2d_14/kernel/Regularizer/SumSum'conv2d_14/kernel/Regularizer/Square:y:0+conv2d_14/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_14/kernel/Regularizer/Sum� "conv2d_14/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_14/kernel/Regularizer/mul/x� conv2d_14/kernel/Regularizer/mulMul+conv2d_14/kernel/Regularizer/mul/x:output:0)conv2d_14/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_14/kernel/Regularizer/mul� 2conv2d_15/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_15_8162*( _output_shapes :��* dtype024 2conv2d_15/kernel/Regularizer/Square/ReadVariableOp� #conv2d_15/kernel/Regularizer/SquareSquare:conv2d_15/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_15/kernel/Regularizer/Square� "conv2d_15/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_15/kernel/Regularizer/Const� conv2d_15/kernel/Regularizer/SumSum'conv2d_15/kernel/Regularizer/Square:y:0+conv2d_15/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_15/kernel/Regularizer/Sum� "conv2d_15/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_15/kernel/Regularizer/mul/x� conv2d_15/kernel/Regularizer/mulMul+conv2d_15/kernel/Regularizer/mul/x:output:0)conv2d_15/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_15/kernel/Regularizer/mul� 2conv2d_16/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_16_8175*( _output_shapes :��* dtype024 2conv2d_16/kernel/Regularizer/Square/ReadVariableOp� #conv2d_16/kernel/Regularizer/SquareSquare:conv2d_16/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_16/kernel/Regularizer/Square� "conv2d_16/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_16/kernel/Regularizer/Const� 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T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*� _input_shapes� �:�����������::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::2Z +batch_normalization/StatefulPartitionedCall+batch_normalization/StatefulPartitionedCall2^ -batch_normalization_1/StatefulPartitionedCall-batch_normalization_1/StatefulPartitionedCall2` .batch_normalization_10/StatefulPartitionedCall.batch_normalization_10/StatefulPartitionedCall2` .batch_normalization_11/StatefulPartitionedCall.batch_normalization_11/StatefulPartitionedCall2` .batch_normalization_12/StatefulPartitionedCall.batch_normalization_12/StatefulPartitionedCall2` .batch_normalization_13/StatefulPartitionedCall.batch_normalization_13/StatefulPartitionedCall2` .batch_normalization_14/StatefulPartitionedCall.batch_normalization_14/StatefulPartitionedCall2` .batch_normalization_15/StatefulPartitionedCall.batch_normalization_15/StatefulPartitionedCall2` .batch_normalization_16/StatefulPartitionedCall.batch_normalization_16/StatefulPartitionedCall2` .batch_normalization_17/StatefulPartitionedCall.batch_normalization_17/StatefulPartitionedCall2` .batch_normalization_18/StatefulPartitionedCall.batch_normalization_18/StatefulPartitionedCall2` .batch_normalization_19/StatefulPartitionedCall.batch_normalization_19/StatefulPartitionedCall2^ -batch_normalization_2/StatefulPartitionedCall-batch_normalization_2/StatefulPartitionedCall2` .batch_normalization_20/StatefulPartitionedCall.batch_normalization_20/StatefulPartitionedCall2` .batch_normalization_21/StatefulPartitionedCall.batch_normalization_21/StatefulPartitionedCall2^ -batch_normalization_3/StatefulPartitionedCall-batch_normalization_3/StatefulPartitionedCall2^ -batch_normalization_4/StatefulPartitionedCall-batch_normalization_4/StatefulPartitionedCall2^ -batch_normalization_5/StatefulPartitionedCall-batch_normalization_5/StatefulPartitionedCall2^ -batch_normalization_6/StatefulPartitionedCall-batch_normalization_6/StatefulPartitionedCall2^ -batch_normalization_7/StatefulPartitionedCall-batch_normalization_7/StatefulPartitionedCall2^ -batch_normalization_8/StatefulPartitionedCall-batch_normalization_8/StatefulPartitionedCall2^ -batch_normalization_9/StatefulPartitionedCall-batch_normalization_9/StatefulPartitionedCall2@ conv2d/StatefulPartitionedCallconv2d/StatefulPartitionedCall2D conv2d_1/StatefulPartitionedCall conv2d_1/StatefulPartitionedCall2F !conv2d_10/StatefulPartitionedCall!conv2d_10/StatefulPartitionedCall2F !conv2d_11/StatefulPartitionedCall!conv2d_11/StatefulPartitionedCall2F !conv2d_12/StatefulPartitionedCall!conv2d_12/StatefulPartitionedCall2F !conv2d_13/StatefulPartitionedCall!conv2d_13/StatefulPartitionedCall2F !conv2d_14/StatefulPartitionedCall!conv2d_14/StatefulPartitionedCall2F !conv2d_15/StatefulPartitionedCall!conv2d_15/StatefulPartitionedCall2F !conv2d_16/StatefulPartitionedCall!conv2d_16/StatefulPartitionedCall2F !conv2d_17/StatefulPartitionedCall!conv2d_17/StatefulPartitionedCall2F !conv2d_18/StatefulPartitionedCall!conv2d_18/StatefulPartitionedCall2F !conv2d_19/StatefulPartitionedCall!conv2d_19/StatefulPartitionedCall2D conv2d_2/StatefulPartitionedCall conv2d_2/StatefulPartitionedCall2F !conv2d_20/StatefulPartitionedCall!conv2d_20/StatefulPartitionedCall2F !conv2d_21/StatefulPartitionedCall!conv2d_21/StatefulPartitionedCall2F !conv2d_22/StatefulPartitionedCall!conv2d_22/StatefulPartitionedCall2D conv2d_3/StatefulPartitionedCall conv2d_3/StatefulPartitionedCall2D conv2d_4/StatefulPartitionedCall conv2d_4/StatefulPartitionedCall2D conv2d_5/StatefulPartitionedCall conv2d_5/StatefulPartitionedCall2D conv2d_6/StatefulPartitionedCall conv2d_6/StatefulPartitionedCall2D conv2d_7/StatefulPartitionedCall conv2d_7/StatefulPartitionedCall2D conv2d_8/StatefulPartitionedCall conv2d_8/StatefulPartitionedCall2D conv2d_9/StatefulPartitionedCall conv2d_9/StatefulPartitionedCall:Y U 1 _output_shapes :����������� _user_specified_nameinputs � � P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12646 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�:::::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � 6__inference_batch_normalization_11_layer_call_fn_13151 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_37612 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � o )__inference_conv2d_15_layer_call_fn_13756 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_15_layer_call_and_return_conditional_losses_65422 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � O__inference_batch_normalization_8_layer_call_and_return_conditional_losses_5795 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � c G__inference_leaky_re_lu_4_layer_call_and_return_conditional_losses_5408 inputs identityo LeakyRelu LeakyReluinputs*2 _output_shapes :������������* alpha%���=2 LeakyReluv IdentityIdentityLeakyRelu:activations:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*1 _input_shapes :������������:Z V 2 _output_shapes :������������ _user_specified_nameinputs � � 5__inference_batch_normalization_2_layer_call_fn_11688 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_2_layer_call_and_return_conditional_losses_28322 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs �� �> __inference__wrapped_model_2507 input_16 2functional_1_conv2d_conv2d_readvariableop_resource< 8functional_1_batch_normalization_readvariableop_resource> :functional_1_batch_normalization_readvariableop_1_resourceM Ifunctional_1_batch_normalization_fusedbatchnormv3_readvariableop_resourceO Kfunctional_1_batch_normalization_fusedbatchnormv3_readvariableop_1_resource8 4functional_1_conv2d_1_conv2d_readvariableop_resource> :functional_1_batch_normalization_1_readvariableop_resource@ <functional_1_batch_normalization_1_readvariableop_1_resourceO Kfunctional_1_batch_normalization_1_fusedbatchnormv3_readvariableop_resourceQ Mfunctional_1_batch_normalization_1_fusedbatchnormv3_readvariableop_1_resource8 4functional_1_conv2d_2_conv2d_readvariableop_resource> :functional_1_batch_normalization_2_readvariableop_resource@ <functional_1_batch_normalization_2_readvariableop_1_resourceO Kfunctional_1_batch_normalization_2_fusedbatchnormv3_readvariableop_resourceQ Mfunctional_1_batch_normalization_2_fusedbatchnormv3_readvariableop_1_resource8 4functional_1_conv2d_3_conv2d_readvariableop_resource> :functional_1_batch_normalization_3_readvariableop_resource@ <functional_1_batch_normalization_3_readvariableop_1_resourceO Kfunctional_1_batch_normalization_3_fusedbatchnormv3_readvariableop_resourceQ Mfunctional_1_batch_normalization_3_fusedbatchnormv3_readvariableop_1_resource8 4functional_1_conv2d_4_conv2d_readvariableop_resource> :functional_1_batch_normalization_4_readvariableop_resource@ <functional_1_batch_normalization_4_readvariableop_1_resourceO Kfunctional_1_batch_normalization_4_fusedbatchnormv3_readvariableop_resourceQ Mfunctional_1_batch_normalization_4_fusedbatchnormv3_readvariableop_1_resource8 4functional_1_conv2d_5_conv2d_readvariableop_resource> :functional_1_batch_normalization_5_readvariableop_resource@ <functional_1_batch_normalization_5_readvariableop_1_resourceO Kfunctional_1_batch_normalization_5_fusedbatchnormv3_readvariableop_resourceQ Mfunctional_1_batch_normalization_5_fusedbatchnormv3_readvariableop_1_resource8 4functional_1_conv2d_6_conv2d_readvariableop_resource> :functional_1_batch_normalization_6_readvariableop_resource@ <functional_1_batch_normalization_6_readvariableop_1_resourceO Kfunctional_1_batch_normalization_6_fusedbatchnormv3_readvariableop_resourceQ Mfunctional_1_batch_normalization_6_fusedbatchnormv3_readvariableop_1_resource8 4functional_1_conv2d_7_conv2d_readvariableop_resource> :functional_1_batch_normalization_7_readvariableop_resource@ <functional_1_batch_normalization_7_readvariableop_1_resourceO Kfunctional_1_batch_normalization_7_fusedbatchnormv3_readvariableop_resourceQ Mfunctional_1_batch_normalization_7_fusedbatchnormv3_readvariableop_1_resource8 4functional_1_conv2d_8_conv2d_readvariableop_resource> :functional_1_batch_normalization_8_readvariableop_resource@ <functional_1_batch_normalization_8_readvariableop_1_resourceO Kfunctional_1_batch_normalization_8_fusedbatchnormv3_readvariableop_resourceQ Mfunctional_1_batch_normalization_8_fusedbatchnormv3_readvariableop_1_resource8 4functional_1_conv2d_9_conv2d_readvariableop_resource> :functional_1_batch_normalization_9_readvariableop_resource@ <functional_1_batch_normalization_9_readvariableop_1_resourceO Kfunctional_1_batch_normalization_9_fusedbatchnormv3_readvariableop_resourceQ Mfunctional_1_batch_normalization_9_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_10_conv2d_readvariableop_resource? ;functional_1_batch_normalization_10_readvariableop_resourceA =functional_1_batch_normalization_10_readvariableop_1_resourceP Lfunctional_1_batch_normalization_10_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_10_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_11_conv2d_readvariableop_resource? ;functional_1_batch_normalization_11_readvariableop_resourceA =functional_1_batch_normalization_11_readvariableop_1_resourceP Lfunctional_1_batch_normalization_11_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_11_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_12_conv2d_readvariableop_resource? ;functional_1_batch_normalization_12_readvariableop_resourceA =functional_1_batch_normalization_12_readvariableop_1_resourceP Lfunctional_1_batch_normalization_12_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_12_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_13_conv2d_readvariableop_resource? ;functional_1_batch_normalization_13_readvariableop_resourceA =functional_1_batch_normalization_13_readvariableop_1_resourceP Lfunctional_1_batch_normalization_13_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_13_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_14_conv2d_readvariableop_resource? ;functional_1_batch_normalization_14_readvariableop_resourceA =functional_1_batch_normalization_14_readvariableop_1_resourceP Lfunctional_1_batch_normalization_14_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_14_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_15_conv2d_readvariableop_resource? ;functional_1_batch_normalization_15_readvariableop_resourceA =functional_1_batch_normalization_15_readvariableop_1_resourceP Lfunctional_1_batch_normalization_15_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_15_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_16_conv2d_readvariableop_resource? ;functional_1_batch_normalization_16_readvariableop_resourceA =functional_1_batch_normalization_16_readvariableop_1_resourceP Lfunctional_1_batch_normalization_16_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_16_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_17_conv2d_readvariableop_resource? ;functional_1_batch_normalization_17_readvariableop_resourceA =functional_1_batch_normalization_17_readvariableop_1_resourceP Lfunctional_1_batch_normalization_17_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_17_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_18_conv2d_readvariableop_resource? ;functional_1_batch_normalization_18_readvariableop_resourceA =functional_1_batch_normalization_18_readvariableop_1_resourceP Lfunctional_1_batch_normalization_18_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_18_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_20_conv2d_readvariableop_resource9 5functional_1_conv2d_19_conv2d_readvariableop_resource? ;functional_1_batch_normalization_20_readvariableop_resourceA =functional_1_batch_normalization_20_readvariableop_1_resourceP Lfunctional_1_batch_normalization_20_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_20_fusedbatchnormv3_readvariableop_1_resource? ;functional_1_batch_normalization_19_readvariableop_resourceA =functional_1_batch_normalization_19_readvariableop_1_resourceP Lfunctional_1_batch_normalization_19_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_19_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_21_conv2d_readvariableop_resource? ;functional_1_batch_normalization_21_readvariableop_resourceA =functional_1_batch_normalization_21_readvariableop_1_resourceP Lfunctional_1_batch_normalization_21_fusedbatchnormv3_readvariableop_resourceR Nfunctional_1_batch_normalization_21_fusedbatchnormv3_readvariableop_1_resource9 5functional_1_conv2d_22_conv2d_readvariableop_resource: 6functional_1_conv2d_22_biasadd_readvariableop_resource identity�� )functional_1/conv2d/Conv2D/ReadVariableOpReadVariableOp2functional_1_conv2d_conv2d_readvariableop_resource*& _output_shapes : * dtype02+ )functional_1/conv2d/Conv2D/ReadVariableOp� functional_1/conv2d/Conv2DConv2Dinput_11functional_1/conv2d/Conv2D/ReadVariableOp:value:0* T0*1 _output_shapes :����������� * paddingSAME* strides 2 functional_1/conv2d/Conv2D� /functional_1/batch_normalization/ReadVariableOpReadVariableOp8functional_1_batch_normalization_readvariableop_resource* _output_shapes : * dtype021 /functional_1/batch_normalization/ReadVariableOp� 1functional_1/batch_normalization/ReadVariableOp_1ReadVariableOp:functional_1_batch_normalization_readvariableop_1_resource* _output_shapes : * dtype023 1functional_1/batch_normalization/ReadVariableOp_1� @functional_1/batch_normalization/FusedBatchNormV3/ReadVariableOpReadVariableOpIfunctional_1_batch_normalization_fusedbatchnormv3_readvariableop_resource* _output_shapes : * dtype02B @functional_1/batch_normalization/FusedBatchNormV3/ReadVariableOp� Bfunctional_1/batch_normalization/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpKfunctional_1_batch_normalization_fusedbatchnormv3_readvariableop_1_resource* _output_shapes : * dtype02D Bfunctional_1/batch_normalization/FusedBatchNormV3/ReadVariableOp_1� 1functional_1/batch_normalization/FusedBatchNormV3FusedBatchNormV3#functional_1/conv2d/Conv2D:output:07functional_1/batch_normalization/ReadVariableOp:value:09functional_1/batch_normalization/ReadVariableOp_1:value:0Hfunctional_1/batch_normalization/FusedBatchNormV3/ReadVariableOp:value:0Jfunctional_1/batch_normalization/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:����������� : : : : :* epsilon%o�:* is_training( 23 1functional_1/batch_normalization/FusedBatchNormV3� "functional_1/leaky_re_lu/LeakyRelu LeakyRelu5functional_1/batch_normalization/FusedBatchNormV3:y:0*1 _output_shapes :����������� * alpha%���=2$ "functional_1/leaky_re_lu/LeakyRelu� "functional_1/max_pooling2d/MaxPoolMaxPool0functional_1/leaky_re_lu/LeakyRelu:activations:0*1 _output_shapes :����������� * ksize * paddingSAME* strides 2$ "functional_1/max_pooling2d/MaxPool� +functional_1/conv2d_1/Conv2D/ReadVariableOpReadVariableOp4functional_1_conv2d_1_conv2d_readvariableop_resource*& _output_shapes : @* dtype02- +functional_1/conv2d_1/Conv2D/ReadVariableOp� functional_1/conv2d_1/Conv2DConv2D+functional_1/max_pooling2d/MaxPool:output:03functional_1/conv2d_1/Conv2D/ReadVariableOp:value:0* T0*1 _output_shapes :�����������@* paddingSAME* strides 2 functional_1/conv2d_1/Conv2D� 1functional_1/batch_normalization_1/ReadVariableOpReadVariableOp:functional_1_batch_normalization_1_readvariableop_resource* _output_shapes :@* dtype023 1functional_1/batch_normalization_1/ReadVariableOp� 3functional_1/batch_normalization_1/ReadVariableOp_1ReadVariableOp<functional_1_batch_normalization_1_readvariableop_1_resource* _output_shapes :@* dtype025 3functional_1/batch_normalization_1/ReadVariableOp_1� Bfunctional_1/batch_normalization_1/FusedBatchNormV3/ReadVariableOpReadVariableOpKfunctional_1_batch_normalization_1_fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02D Bfunctional_1/batch_normalization_1/FusedBatchNormV3/ReadVariableOp� Dfunctional_1/batch_normalization_1/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpMfunctional_1_batch_normalization_1_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02F Dfunctional_1/batch_normalization_1/FusedBatchNormV3/ReadVariableOp_1� 3functional_1/batch_normalization_1/FusedBatchNormV3FusedBatchNormV3%functional_1/conv2d_1/Conv2D:output:09functional_1/batch_normalization_1/ReadVariableOp:value:0;functional_1/batch_normalization_1/ReadVariableOp_1:value:0Jfunctional_1/batch_normalization_1/FusedBatchNormV3/ReadVariableOp:value:0Lfunctional_1/batch_normalization_1/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:�����������@:@:@:@:@:* epsilon%o�:* is_training( 25 3functional_1/batch_normalization_1/FusedBatchNormV3� $functional_1/leaky_re_lu_1/LeakyRelu LeakyRelu7functional_1/batch_normalization_1/FusedBatchNormV3:y:0*1 _output_shapes :�����������@* alpha%���=2& $functional_1/leaky_re_lu_1/LeakyRelu� $functional_1/max_pooling2d_1/MaxPoolMaxPool2functional_1/leaky_re_lu_1/LeakyRelu:activations:0*1 _output_shapes :�����������@* ksize * paddingSAME* strides 2& $functional_1/max_pooling2d_1/MaxPool� +functional_1/conv2d_2/Conv2D/ReadVariableOpReadVariableOp4functional_1_conv2d_2_conv2d_readvariableop_resource*' _output_shapes :@�* dtype02- +functional_1/conv2d_2/Conv2D/ReadVariableOp� functional_1/conv2d_2/Conv2DConv2D-functional_1/max_pooling2d_1/MaxPool:output:03functional_1/conv2d_2/Conv2D/ReadVariableOp:value:0* T0*2 _output_shapes :������������* paddingSAME* strides 2 functional_1/conv2d_2/Conv2D� 1functional_1/batch_normalization_2/ReadVariableOpReadVariableOp:functional_1_batch_normalization_2_readvariableop_resource* _output_shapes :�* dtype023 1functional_1/batch_normalization_2/ReadVariableOp� 3functional_1/batch_normalization_2/ReadVariableOp_1ReadVariableOp<functional_1_batch_normalization_2_readvariableop_1_resource* _output_shapes :�* dtype025 3functional_1/batch_normalization_2/ReadVariableOp_1� Bfunctional_1/batch_normalization_2/FusedBatchNormV3/ReadVariableOpReadVariableOpKfunctional_1_batch_normalization_2_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02D Bfunctional_1/batch_normalization_2/FusedBatchNormV3/ReadVariableOp� Dfunctional_1/batch_normalization_2/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpMfunctional_1_batch_normalization_2_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02F Dfunctional_1/batch_normalization_2/FusedBatchNormV3/ReadVariableOp_1� 3functional_1/batch_normalization_2/FusedBatchNormV3FusedBatchNormV3%functional_1/conv2d_2/Conv2D:output:09functional_1/batch_normalization_2/ReadVariableOp:value:0;functional_1/batch_normalization_2/ReadVariableOp_1:value:0Jfunctional_1/batch_normalization_2/FusedBatchNormV3/ReadVariableOp:value:0Lfunctional_1/batch_normalization_2/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*R _output_shapes@ >:������������:�:�:�:�:* epsilon%o�:* is_training( 25 3functional_1/batch_normalization_2/FusedBatchNormV3� $functional_1/leaky_re_lu_2/LeakyRelu LeakyRelu7functional_1/batch_normalization_2/FusedBatchNormV3:y:0*2 _output_shapes :������������* alpha%���=2& $functional_1/leaky_re_lu_2/LeakyRelu� +functional_1/conv2d_3/Conv2D/ReadVariableOpReadVariableOp4functional_1_conv2d_3_conv2d_readvariableop_resource*' _output_shapes :�@* dtype02- +functional_1/conv2d_3/Conv2D/ReadVariableOp� functional_1/conv2d_3/Conv2DConv2D2functional_1/leaky_re_lu_2/LeakyRelu:activations:03functional_1/conv2d_3/Conv2D/ReadVariableOp:value:0* T0*1 _output_shapes :�����������@* paddingSAME* strides 2 functional_1/conv2d_3/Conv2D� 1functional_1/batch_normalization_3/ReadVariableOpReadVariableOp:functional_1_batch_normalization_3_readvariableop_resource* _output_shapes :@* dtype023 1functional_1/batch_normalization_3/ReadVariableOp� 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3functional_1/batch_normalization_3/FusedBatchNormV3FusedBatchNormV3%functional_1/conv2d_3/Conv2D:output:09functional_1/batch_normalization_3/ReadVariableOp:value:0;functional_1/batch_normalization_3/ReadVariableOp_1:value:0Jfunctional_1/batch_normalization_3/FusedBatchNormV3/ReadVariableOp:value:0Lfunctional_1/batch_normalization_3/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:�����������@:@:@:@:@:* epsilon%o�:* is_training( 25 3functional_1/batch_normalization_3/FusedBatchNormV3� $functional_1/leaky_re_lu_3/LeakyRelu LeakyRelu7functional_1/batch_normalization_3/FusedBatchNormV3:y:0*1 _output_shapes :�����������@* alpha%���=2& $functional_1/leaky_re_lu_3/LeakyRelu� +functional_1/conv2d_4/Conv2D/ReadVariableOpReadVariableOp4functional_1_conv2d_4_conv2d_readvariableop_resource*' _output_shapes :@�* dtype02- +functional_1/conv2d_4/Conv2D/ReadVariableOp� 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3functional_1/batch_normalization_6/FusedBatchNormV3FusedBatchNormV3%functional_1/conv2d_6/Conv2D:output:09functional_1/batch_normalization_6/ReadVariableOp:value:0;functional_1/batch_normalization_6/ReadVariableOp_1:value:0Jfunctional_1/batch_normalization_6/FusedBatchNormV3/ReadVariableOp:value:0Lfunctional_1/batch_normalization_6/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* is_training( 25 3functional_1/batch_normalization_6/FusedBatchNormV3� $functional_1/leaky_re_lu_6/LeakyRelu LeakyRelu7functional_1/batch_normalization_6/FusedBatchNormV3:y:0*0 _output_shapes :���������LL�* alpha%���=2& $functional_1/leaky_re_lu_6/LeakyRelu� +functional_1/conv2d_7/Conv2D/ReadVariableOpReadVariableOp4functional_1_conv2d_7_conv2d_readvariableop_resource*( _output_shapes :��* dtype02- +functional_1/conv2d_7/Conv2D/ReadVariableOp� 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4functional_1/batch_normalization_12/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_12_readvariableop_1_resource* _output_shapes :�* dtype026 4functional_1/batch_normalization_12/ReadVariableOp_1� Cfunctional_1/batch_normalization_12/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_12_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02E Cfunctional_1/batch_normalization_12/FusedBatchNormV3/ReadVariableOp� Efunctional_1/batch_normalization_12/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_12_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02G Efunctional_1/batch_normalization_12/FusedBatchNormV3/ReadVariableOp_1� 4functional_1/batch_normalization_12/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_12/Conv2D:output:0:functional_1/batch_normalization_12/ReadVariableOp:value:0<functional_1/batch_normalization_12/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_12/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_12/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* is_training( 26 4functional_1/batch_normalization_12/FusedBatchNormV3� %functional_1/leaky_re_lu_12/LeakyRelu LeakyRelu8functional_1/batch_normalization_12/FusedBatchNormV3:y:0*0 _output_shapes :���������&&�* alpha%���=2' %functional_1/leaky_re_lu_12/LeakyRelu� $functional_1/max_pooling2d_4/MaxPoolMaxPool3functional_1/leaky_re_lu_12/LeakyRelu:activations:0*0 _output_shapes :����������* ksize * paddingSAME* strides 2& $functional_1/max_pooling2d_4/MaxPool� ,functional_1/conv2d_13/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_13_conv2d_readvariableop_resource*( _output_shapes :��* dtype02. ,functional_1/conv2d_13/Conv2D/ReadVariableOp� functional_1/conv2d_13/Conv2DConv2D-functional_1/max_pooling2d_4/MaxPool:output:04functional_1/conv2d_13/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 functional_1/conv2d_13/Conv2D� 2functional_1/batch_normalization_13/ReadVariableOpReadVariableOp;functional_1_batch_normalization_13_readvariableop_resource* _output_shapes :�* dtype024 2functional_1/batch_normalization_13/ReadVariableOp� 4functional_1/batch_normalization_13/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_13_readvariableop_1_resource* _output_shapes :�* dtype026 4functional_1/batch_normalization_13/ReadVariableOp_1� Cfunctional_1/batch_normalization_13/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_13_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02E Cfunctional_1/batch_normalization_13/FusedBatchNormV3/ReadVariableOp� Efunctional_1/batch_normalization_13/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_13_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02G Efunctional_1/batch_normalization_13/FusedBatchNormV3/ReadVariableOp_1� 4functional_1/batch_normalization_13/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_13/Conv2D:output:0:functional_1/batch_normalization_13/ReadVariableOp:value:0<functional_1/batch_normalization_13/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_13/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_13/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 26 4functional_1/batch_normalization_13/FusedBatchNormV3� %functional_1/leaky_re_lu_13/LeakyRelu LeakyRelu8functional_1/batch_normalization_13/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2' %functional_1/leaky_re_lu_13/LeakyRelu� ,functional_1/conv2d_14/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_14_conv2d_readvariableop_resource*( _output_shapes :��* dtype02. ,functional_1/conv2d_14/Conv2D/ReadVariableOp� functional_1/conv2d_14/Conv2DConv2D3functional_1/leaky_re_lu_13/LeakyRelu:activations:04functional_1/conv2d_14/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 functional_1/conv2d_14/Conv2D� 2functional_1/batch_normalization_14/ReadVariableOpReadVariableOp;functional_1_batch_normalization_14_readvariableop_resource* _output_shapes :�* dtype024 2functional_1/batch_normalization_14/ReadVariableOp� 4functional_1/batch_normalization_14/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_14_readvariableop_1_resource* _output_shapes :�* dtype026 4functional_1/batch_normalization_14/ReadVariableOp_1� Cfunctional_1/batch_normalization_14/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_14_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02E Cfunctional_1/batch_normalization_14/FusedBatchNormV3/ReadVariableOp� Efunctional_1/batch_normalization_14/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_14_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02G Efunctional_1/batch_normalization_14/FusedBatchNormV3/ReadVariableOp_1� 4functional_1/batch_normalization_14/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_14/Conv2D:output:0:functional_1/batch_normalization_14/ReadVariableOp:value:0<functional_1/batch_normalization_14/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_14/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_14/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 26 4functional_1/batch_normalization_14/FusedBatchNormV3� %functional_1/leaky_re_lu_14/LeakyRelu LeakyRelu8functional_1/batch_normalization_14/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2' %functional_1/leaky_re_lu_14/LeakyRelu� ,functional_1/conv2d_15/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_15_conv2d_readvariableop_resource*( _output_shapes :��* dtype02. ,functional_1/conv2d_15/Conv2D/ReadVariableOp� functional_1/conv2d_15/Conv2DConv2D3functional_1/leaky_re_lu_14/LeakyRelu:activations:04functional_1/conv2d_15/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 functional_1/conv2d_15/Conv2D� 2functional_1/batch_normalization_15/ReadVariableOpReadVariableOp;functional_1_batch_normalization_15_readvariableop_resource* _output_shapes :�* dtype024 2functional_1/batch_normalization_15/ReadVariableOp� 4functional_1/batch_normalization_15/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_15_readvariableop_1_resource* _output_shapes :�* dtype026 4functional_1/batch_normalization_15/ReadVariableOp_1� Cfunctional_1/batch_normalization_15/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_15_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02E Cfunctional_1/batch_normalization_15/FusedBatchNormV3/ReadVariableOp� Efunctional_1/batch_normalization_15/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_15_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02G Efunctional_1/batch_normalization_15/FusedBatchNormV3/ReadVariableOp_1� 4functional_1/batch_normalization_15/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_15/Conv2D:output:0:functional_1/batch_normalization_15/ReadVariableOp:value:0<functional_1/batch_normalization_15/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_15/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_15/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 26 4functional_1/batch_normalization_15/FusedBatchNormV3� %functional_1/leaky_re_lu_15/LeakyRelu LeakyRelu8functional_1/batch_normalization_15/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2' %functional_1/leaky_re_lu_15/LeakyRelu� ,functional_1/conv2d_16/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_16_conv2d_readvariableop_resource*( _output_shapes :��* dtype02. ,functional_1/conv2d_16/Conv2D/ReadVariableOp� 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Efunctional_1/batch_normalization_16/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_16_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02G Efunctional_1/batch_normalization_16/FusedBatchNormV3/ReadVariableOp_1� 4functional_1/batch_normalization_16/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_16/Conv2D:output:0:functional_1/batch_normalization_16/ReadVariableOp:value:0<functional_1/batch_normalization_16/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_16/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_16/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 26 4functional_1/batch_normalization_16/FusedBatchNormV3� %functional_1/leaky_re_lu_16/LeakyRelu LeakyRelu8functional_1/batch_normalization_16/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2' %functional_1/leaky_re_lu_16/LeakyRelu� ,functional_1/conv2d_17/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_17_conv2d_readvariableop_resource*( _output_shapes :��* dtype02. ,functional_1/conv2d_17/Conv2D/ReadVariableOp� functional_1/conv2d_17/Conv2DConv2D3functional_1/leaky_re_lu_16/LeakyRelu:activations:04functional_1/conv2d_17/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 functional_1/conv2d_17/Conv2D� 2functional_1/batch_normalization_17/ReadVariableOpReadVariableOp;functional_1_batch_normalization_17_readvariableop_resource* _output_shapes :�* dtype024 2functional_1/batch_normalization_17/ReadVariableOp� 4functional_1/batch_normalization_17/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_17_readvariableop_1_resource* _output_shapes :�* dtype026 4functional_1/batch_normalization_17/ReadVariableOp_1� 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4functional_1/batch_normalization_17/FusedBatchNormV3� %functional_1/leaky_re_lu_17/LeakyRelu LeakyRelu8functional_1/batch_normalization_17/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2' %functional_1/leaky_re_lu_17/LeakyRelu� ,functional_1/conv2d_18/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_18_conv2d_readvariableop_resource*( _output_shapes :��* dtype02. ,functional_1/conv2d_18/Conv2D/ReadVariableOp� functional_1/conv2d_18/Conv2DConv2D3functional_1/leaky_re_lu_17/LeakyRelu:activations:04functional_1/conv2d_18/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 functional_1/conv2d_18/Conv2D� 2functional_1/batch_normalization_18/ReadVariableOpReadVariableOp;functional_1_batch_normalization_18_readvariableop_resource* _output_shapes :�* dtype024 2functional_1/batch_normalization_18/ReadVariableOp� 4functional_1/batch_normalization_18/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_18_readvariableop_1_resource* _output_shapes :�* dtype026 4functional_1/batch_normalization_18/ReadVariableOp_1� Cfunctional_1/batch_normalization_18/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_18_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02E Cfunctional_1/batch_normalization_18/FusedBatchNormV3/ReadVariableOp� Efunctional_1/batch_normalization_18/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_18_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02G Efunctional_1/batch_normalization_18/FusedBatchNormV3/ReadVariableOp_1� 4functional_1/batch_normalization_18/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_18/Conv2D:output:0:functional_1/batch_normalization_18/ReadVariableOp:value:0<functional_1/batch_normalization_18/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_18/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_18/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 26 4functional_1/batch_normalization_18/FusedBatchNormV3� %functional_1/leaky_re_lu_18/LeakyRelu LeakyRelu8functional_1/batch_normalization_18/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2' %functional_1/leaky_re_lu_18/LeakyRelu� ,functional_1/conv2d_20/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_20_conv2d_readvariableop_resource*' _output_shapes :�@* dtype02. ,functional_1/conv2d_20/Conv2D/ReadVariableOp� 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_output_shapes9 7:���������&&@:@:@:@:@:* epsilon%o�:* is_training( 26 4functional_1/batch_normalization_20/FusedBatchNormV3� 2functional_1/batch_normalization_19/ReadVariableOpReadVariableOp;functional_1_batch_normalization_19_readvariableop_resource* _output_shapes :�* dtype024 2functional_1/batch_normalization_19/ReadVariableOp� 4functional_1/batch_normalization_19/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_19_readvariableop_1_resource* _output_shapes :�* dtype026 4functional_1/batch_normalization_19/ReadVariableOp_1� Cfunctional_1/batch_normalization_19/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_19_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02E Cfunctional_1/batch_normalization_19/FusedBatchNormV3/ReadVariableOp� Efunctional_1/batch_normalization_19/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_19_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02G Efunctional_1/batch_normalization_19/FusedBatchNormV3/ReadVariableOp_1� 4functional_1/batch_normalization_19/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_19/Conv2D:output:0:functional_1/batch_normalization_19/ReadVariableOp:value:0<functional_1/batch_normalization_19/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_19/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_19/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 26 4functional_1/batch_normalization_19/FusedBatchNormV3� %functional_1/leaky_re_lu_20/LeakyRelu LeakyRelu8functional_1/batch_normalization_20/FusedBatchNormV3:y:0*/ _output_shapes :���������&&@* alpha%���=2' %functional_1/leaky_re_lu_20/LeakyRelu� +functional_1/space_to_depth_x2/SpaceToDepthSpaceToDepth3functional_1/leaky_re_lu_20/LeakyRelu:activations:0* T0*0 _output_shapes :����������* block_size2- +functional_1/space_to_depth_x2/SpaceToDepth� %functional_1/leaky_re_lu_19/LeakyRelu LeakyRelu8functional_1/batch_normalization_19/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2' %functional_1/leaky_re_lu_19/LeakyRelu� $functional_1/concatenate/concat/axisConst* _output_shapes : * dtype0* value B :2& $functional_1/concatenate/concat/axis� functional_1/concatenate/concatConcatV24functional_1/space_to_depth_x2/SpaceToDepth:output:03functional_1/leaky_re_lu_19/LeakyRelu:activations:0-functional_1/concatenate/concat/axis:output:0* N* T0*0 _output_shapes :���������� 2! functional_1/concatenate/concat� ,functional_1/conv2d_21/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_21_conv2d_readvariableop_resource*( _output_shapes :� �* dtype02. ,functional_1/conv2d_21/Conv2D/ReadVariableOp� functional_1/conv2d_21/Conv2DConv2D(functional_1/concatenate/concat:output:04functional_1/conv2d_21/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 functional_1/conv2d_21/Conv2D� 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4functional_1/batch_normalization_21/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_21/Conv2D:output:0:functional_1/batch_normalization_21/ReadVariableOp:value:0<functional_1/batch_normalization_21/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_21/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_21/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 26 4functional_1/batch_normalization_21/FusedBatchNormV3� %functional_1/leaky_re_lu_21/LeakyRelu LeakyRelu8functional_1/batch_normalization_21/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2' %functional_1/leaky_re_lu_21/LeakyRelu� ,functional_1/conv2d_22/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_22_conv2d_readvariableop_resource*( _output_shapes :��* dtype02. ,functional_1/conv2d_22/Conv2D/ReadVariableOp� functional_1/conv2d_22/Conv2DConv2D3functional_1/leaky_re_lu_21/LeakyRelu:activations:04functional_1/conv2d_22/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 functional_1/conv2d_22/Conv2D� -functional_1/conv2d_22/BiasAdd/ReadVariableOpReadVariableOp6functional_1_conv2d_22_biasadd_readvariableop_resource* _output_shapes :�* dtype02/ -functional_1/conv2d_22/BiasAdd/ReadVariableOp� functional_1/conv2d_22/BiasAddBiasAdd&functional_1/conv2d_22/Conv2D:output:05functional_1/conv2d_22/BiasAdd/ReadVariableOp:value:0* T0*0 _output_shapes :����������2 functional_1/conv2d_22/BiasAdd� IdentityIdentity'functional_1/conv2d_22/BiasAdd:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*� _input_shapes� �:�����������:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::Z V 1 _output_shapes :����������� ! _user_specified_name input_1 � � B__inference_conv2d_8_layer_call_and_return_conditional_losses_5764 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������&&�* paddingSAME* strides 2 Conv2D� 1conv2d_8/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_8/kernel/Regularizer/Square/ReadVariableOp� "conv2d_8/kernel/Regularizer/SquareSquare9conv2d_8/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_8/kernel/Regularizer/Square� !conv2d_8/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_8/kernel/Regularizer/Const� conv2d_8/kernel/Regularizer/SumSum&conv2d_8/kernel/Regularizer/Square:y:0*conv2d_8/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/Sum� !conv2d_8/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_8/kernel/Regularizer/mul/x� conv2d_8/kernel/Regularizer/mulMul*conv2d_8/kernel/Regularizer/mul/x:output:0(conv2d_8/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � M__inference_batch_normalization_layer_call_and_return_conditional_losses_2569 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes : * dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes : * dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes : * dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes : * dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+��������������������������� : : : : :* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*A _output_shapes/ -:+��������������������������� 2 Identity" identityIdentity:output:0*P _input_shapes? =:+��������������������������� ::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:i e A _output_shapes/ -:+��������������������������� _user_specified_nameinputs � � O__inference_batch_normalization_8_layer_call_and_return_conditional_losses_5813 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�:::::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � 6__inference_batch_normalization_10_layer_call_fn_13051 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_60172 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � o )__inference_conv2d_21_layer_call_fn_14773 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_21_layer_call_and_return_conditional_losses_72472 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :���������� :22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � n __inference_loss_fn_2_14975> :conv2d_2_kernel_regularizer_square_readvariableop_resource identity�� 1conv2d_2/kernel/Regularizer/Square/ReadVariableOpReadVariableOp:conv2d_2_kernel_regularizer_square_readvariableop_resource*' _output_shapes :@�* dtype023 1conv2d_2/kernel/Regularizer/Square/ReadVariableOp� "conv2d_2/kernel/Regularizer/SquareSquare9conv2d_2/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_2/kernel/Regularizer/Square� !conv2d_2/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_2/kernel/Regularizer/Const� conv2d_2/kernel/Regularizer/SumSum&conv2d_2/kernel/Regularizer/Square:y:0*conv2d_2/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/Sum� !conv2d_2/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_2/kernel/Regularizer/mul/x� conv2d_2/kernel/Regularizer/mulMul*conv2d_2/kernel/Regularizer/mul/x:output:0(conv2d_2/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/mulf IdentityIdentity#conv2d_2/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � J .__inference_max_pooling2d_2_layer_call_fn_3063 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *J _output_shapes8 6:4������������������������������������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *R fMRK I__inference_max_pooling2d_2_layer_call_and_return_conditional_losses_30572 PartitionedCall� IdentityIdentityPartitionedCall:output:0* T0*J _output_shapes8 6:4������������������������������������2 Identity" identityIdentity:output:0*I _input_shapes8 6:4������������������������������������:r n J _output_shapes8 6:4������������������������������������ _user_specified_nameinputs � � Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14186 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_10_layer_call_fn_13000 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_36882 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 5__inference_batch_normalization_8_layer_call_fn_12672 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_8_layer_call_and_return_conditional_losses_58132 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � n (__inference_conv2d_1_layer_call_fn_11460 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_1_layer_call_and_return_conditional_losses_49842 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*4 _input_shapes# !:����������� :22 StatefulPartitionedCallStatefulPartitionedCall:Y U 1 _output_shapes :����������� _user_specified_nameinputs � n (__inference_conv2d_4_layer_call_fn_11952 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_4_layer_call_and_return_conditional_losses_53182 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*4 _input_shapes# !:�����������@:22 StatefulPartitionedCallStatefulPartitionedCall:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11826 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+���������������������������@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@:::::i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs �# � "__inference_signature_wrapper_9664 input_1 unknown unknown_0 unknown_1 unknown_2 unknown_3 unknown_4 unknown_5 unknown_6 unknown_7 unknown_8 unknown_9 unknown_10 unknown_11 unknown_12 unknown_13 unknown_14 unknown_15 unknown_16 unknown_17 unknown_18 unknown_19 unknown_20 unknown_21 unknown_22 unknown_23 unknown_24 unknown_25 unknown_26 unknown_27 unknown_28 unknown_29 unknown_30 unknown_31 unknown_32 unknown_33 unknown_34 unknown_35 unknown_36 unknown_37 unknown_38 unknown_39 unknown_40 unknown_41 unknown_42 unknown_43 unknown_44 unknown_45 unknown_46 unknown_47 unknown_48 unknown_49 unknown_50 unknown_51 unknown_52 unknown_53 unknown_54 unknown_55 unknown_56 unknown_57 unknown_58 unknown_59 unknown_60 unknown_61 unknown_62 unknown_63 unknown_64 unknown_65 unknown_66 unknown_67 unknown_68 unknown_69 unknown_70 unknown_71 unknown_72 unknown_73 unknown_74 unknown_75 unknown_76 unknown_77 unknown_78 unknown_79 unknown_80 unknown_81 unknown_82 unknown_83 unknown_84 unknown_85 unknown_86 unknown_87 unknown_88 unknown_89 unknown_90 unknown_91 unknown_92 unknown_93 unknown_94 unknown_95 unknown_96 unknown_97 unknown_98 unknown_99 unknown_100 unknown_101 unknown_102 unknown_103 unknown_104 unknown_105 unknown_106 unknown_107 unknown_108 unknown_109 unknown_110 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinput_1unknown unknown_0 unknown_1 unknown_2 unknown_3 unknown_4 unknown_5 unknown_6 unknown_7 unknown_8 unknown_9 unknown_10 unknown_11 unknown_12 unknown_13 unknown_14 unknown_15 unknown_16 unknown_17 unknown_18 unknown_19 unknown_20 unknown_21 unknown_22 unknown_23 unknown_24 unknown_25 unknown_26 unknown_27 unknown_28 unknown_29 unknown_30 unknown_31 unknown_32 unknown_33 unknown_34 unknown_35 unknown_36 unknown_37 unknown_38 unknown_39 unknown_40 unknown_41 unknown_42 unknown_43 unknown_44 unknown_45 unknown_46 unknown_47 unknown_48 unknown_49 unknown_50 unknown_51 unknown_52 unknown_53 unknown_54 unknown_55 unknown_56 unknown_57 unknown_58 unknown_59 unknown_60 unknown_61 unknown_62 unknown_63 unknown_64 unknown_65 unknown_66 unknown_67 unknown_68 unknown_69 unknown_70 unknown_71 unknown_72 unknown_73 unknown_74 unknown_75 unknown_76 unknown_77 unknown_78 unknown_79 unknown_80 unknown_81 unknown_82 unknown_83 unknown_84 unknown_85 unknown_86 unknown_87 unknown_88 unknown_89 unknown_90 unknown_91 unknown_92 unknown_93 unknown_94 unknown_95 unknown_96 unknown_97 unknown_98 unknown_99unknown_100unknown_101unknown_102unknown_103unknown_104unknown_105unknown_106unknown_107unknown_108unknown_109unknown_110*| Tinu s2q* Tout 2* _collective_manager_ids *0 _output_shapes :����������*� _read_only_resource_inputst rp !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnop*- config_proto CPU GPU 2J 8� *( f#R! __inference__wrapped_model_25072 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*� _input_shapes� �:�����������::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::22 StatefulPartitionedCallStatefulPartitionedCall:Z V 1 _output_shapes :����������� ! _user_specified_name input_1 � ~ )__inference_conv2d_22_layer_call_fn_14942 inputs unknown unknown_0 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_22_layer_call_and_return_conditional_losses_73612 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*7 _input_shapes& $:����������::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � n (__inference_conv2d_7_layer_call_fn_12444 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_7_layer_call_and_return_conditional_losses_56522 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������LL�:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � J .__inference_leaky_re_lu_17_layer_call_fn_14222 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_17_layer_call_and_return_conditional_losses_68542 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13184 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � D__inference_conv2d_14_layer_call_and_return_conditional_losses_13585 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_14/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_14/kernel/Regularizer/Square/ReadVariableOp� #conv2d_14/kernel/Regularizer/SquareSquare:conv2d_14/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_14/kernel/Regularizer/Square� "conv2d_14/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_14/kernel/Regularizer/Const� conv2d_14/kernel/Regularizer/SumSum'conv2d_14/kernel/Regularizer/Square:y:0+conv2d_14/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_14/kernel/Regularizer/Sum� "conv2d_14/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_14/kernel/Regularizer/mul/x� conv2d_14/kernel/Regularizer/mulMul+conv2d_14/kernel/Regularizer/mul/x:output:0)conv2d_14/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_14/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � b F__inference_leaky_re_lu_layer_call_and_return_conditional_losses_11429 inputs identityn LeakyRelu LeakyReluinputs*1 _output_shapes :����������� * alpha%���=2 LeakyReluu IdentityIdentityLeakyRelu:activations:0* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*0 _input_shapes :����������� :Y U 1 _output_shapes :����������� _user_specified_nameinputs � � O__inference_batch_normalization_8_layer_call_and_return_conditional_losses_3449 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13530 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � c G__inference_leaky_re_lu_2_layer_call_and_return_conditional_losses_5186 inputs identityo LeakyRelu LeakyReluinputs*2 _output_shapes :������������* alpha%���=2 LeakyReluv IdentityIdentityLeakyRelu:activations:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*1 _input_shapes :������������:Z V 2 _output_shapes :������������ _user_specified_nameinputs � c G__inference_leaky_re_lu_5_layer_call_and_return_conditional_losses_5520 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������LL�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*/ _input_shapes :���������LL�:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � D__inference_conv2d_19_layer_call_and_return_conditional_losses_14559 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_19/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_19/kernel/Regularizer/Square/ReadVariableOp� #conv2d_19/kernel/Regularizer/SquareSquare:conv2d_19/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_19/kernel/Regularizer/Square� "conv2d_19/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_19/kernel/Regularizer/Const� conv2d_19/kernel/Regularizer/SumSum'conv2d_19/kernel/Regularizer/Square:y:0+conv2d_19/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_19/kernel/Regularizer/Sum� "conv2d_19/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_19/kernel/Regularizer/mul/x� conv2d_19/kernel/Regularizer/mulMul+conv2d_19/kernel/Regularizer/mul/x:output:0)conv2d_19/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_19/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_13940 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � B__inference_conv2d_1_layer_call_and_return_conditional_losses_4984 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*& _output_shapes : @* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*1 _output_shapes :�����������@* paddingSAME* strides 2 Conv2D� 1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*& _output_shapes : @* dtype023 1conv2d_1/kernel/Regularizer/Square/ReadVariableOp� "conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : @2$ "conv2d_1/kernel/Regularizer/Square� !conv2d_1/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_1/kernel/Regularizer/Const� conv2d_1/kernel/Regularizer/SumSum&conv2d_1/kernel/Regularizer/Square:y:0*conv2d_1/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/Sum� !conv2d_1/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_1/kernel/Regularizer/mul/x� conv2d_1/kernel/Regularizer/mulMul*conv2d_1/kernel/Regularizer/mul/x:output:0(conv2d_1/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/mulm IdentityIdentityConv2D:output:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*4 _input_shapes# !:����������� ::Y U 1 _output_shapes :����������� _user_specified_nameinputs � � C__inference_conv2d_15_layer_call_and_return_conditional_losses_6542 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_15/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_15/kernel/Regularizer/Square/ReadVariableOp� #conv2d_15/kernel/Regularizer/SquareSquare:conv2d_15/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_15/kernel/Regularizer/Square� "conv2d_15/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_15/kernel/Regularizer/Const� conv2d_15/kernel/Regularizer/SumSum'conv2d_15/kernel/Regularizer/Square:y:0+conv2d_15/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_15/kernel/Regularizer/Sum� "conv2d_15/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_15/kernel/Regularizer/mul/x� conv2d_15/kernel/Regularizer/mulMul+conv2d_15/kernel/Regularizer/mul/x:output:0)conv2d_15/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_15/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � 5__inference_batch_normalization_6_layer_call_fn_12395 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_6_layer_call_and_return_conditional_losses_32292 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12528 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � 6__inference_batch_normalization_14_layer_call_fn_13707 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_64622 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � C__inference_conv2d_1_layer_call_and_return_conditional_losses_11453 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*& _output_shapes : @* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*1 _output_shapes :�����������@* paddingSAME* strides 2 Conv2D� 1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*& _output_shapes : @* dtype023 1conv2d_1/kernel/Regularizer/Square/ReadVariableOp� "conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : @2$ "conv2d_1/kernel/Regularizer/Square� !conv2d_1/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_1/kernel/Regularizer/Const� conv2d_1/kernel/Regularizer/SumSum&conv2d_1/kernel/Regularizer/Square:y:0*conv2d_1/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/Sum� !conv2d_1/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_1/kernel/Regularizer/mul/x� conv2d_1/kernel/Regularizer/mulMul*conv2d_1/kernel/Regularizer/mul/x:output:0(conv2d_1/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/mulm IdentityIdentityConv2D:output:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*4 _input_shapes# !:����������� ::Y U 1 _output_shapes :����������� _user_specified_nameinputs � � P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_3981 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 5__inference_batch_normalization_2_layer_call_fn_11675 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_2_layer_call_and_return_conditional_losses_28012 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_16_layer_call_and_return_conditional_losses_4293 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � o )__inference_conv2d_19_layer_call_fn_14566 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_19_layer_call_and_return_conditional_losses_70112 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_15_layer_call_fn_13884 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_15_layer_call_and_return_conditional_losses_65912 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12364 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � B__inference_conv2d_9_layer_call_and_return_conditional_losses_5875 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������&&�* paddingSAME* strides 2 Conv2D� 1conv2d_9/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_9/kernel/Regularizer/Square/ReadVariableOp� "conv2d_9/kernel/Regularizer/SquareSquare9conv2d_9/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_9/kernel/Regularizer/Square� !conv2d_9/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_9/kernel/Regularizer/Const� conv2d_9/kernel/Regularizer/SumSum&conv2d_9/kernel/Regularizer/Square:y:0*conv2d_9/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/Sum� !conv2d_9/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_9/kernel/Regularizer/mul/x� conv2d_9/kernel/Regularizer/mulMul*conv2d_9/kernel/Regularizer/mul/x:output:0(conv2d_9/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � D__inference_conv2d_11_layer_call_and_return_conditional_losses_13093 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������&&�* paddingSAME* strides 2 Conv2D� 2conv2d_11/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_11/kernel/Regularizer/Square/ReadVariableOp� #conv2d_11/kernel/Regularizer/SquareSquare:conv2d_11/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_11/kernel/Regularizer/Square� "conv2d_11/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_11/kernel/Regularizer/Const� conv2d_11/kernel/Regularizer/SumSum'conv2d_11/kernel/Regularizer/Square:y:0+conv2d_11/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/Sum� "conv2d_11/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_11/kernel/Regularizer/mul/x� conv2d_11/kernel/Regularizer/mulMul+conv2d_11/kernel/Regularizer/mul/x:output:0)conv2d_11/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_4012 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 5__inference_batch_normalization_1_layer_call_fn_11511 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *A _output_shapes/ -:+���������������������������@*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_1_layer_call_and_return_conditional_losses_26852 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@::::22 StatefulPartitionedCallStatefulPartitionedCall:i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_6480 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � D__inference_conv2d_15_layer_call_and_return_conditional_losses_13749 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_15/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_15/kernel/Regularizer/Square/ReadVariableOp� #conv2d_15/kernel/Regularizer/SquareSquare:conv2d_15/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_15/kernel/Regularizer/Square� "conv2d_15/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_15/kernel/Regularizer/Const� conv2d_15/kernel/Regularizer/SumSum'conv2d_15/kernel/Regularizer/Square:y:0+conv2d_15/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_15/kernel/Regularizer/Sum� "conv2d_15/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_15/kernel/Regularizer/mul/x� conv2d_15/kernel/Regularizer/mulMul+conv2d_15/kernel/Regularizer/mul/x:output:0)conv2d_15/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_15/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � l &__inference_conv2d_layer_call_fn_11296 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :����������� *# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *I fDRB @__inference_conv2d_layer_call_and_return_conditional_losses_48722 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*4 _input_shapes# !:�����������:22 StatefulPartitionedCallStatefulPartitionedCall:Y U 1 _output_shapes :����������� _user_specified_nameinputs � � P__inference_batch_normalization_18_layer_call_and_return_conditional_losses_6906 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_16_layer_call_fn_14035 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_16_layer_call_and_return_conditional_losses_66842 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 5__inference_batch_normalization_6_layer_call_fn_12331 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_6_layer_call_and_return_conditional_losses_55722 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � O__inference_batch_normalization_5_layer_call_and_return_conditional_losses_5479 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�:::::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14793 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_20_layer_call_fn_14463 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_20_layer_call_and_return_conditional_losses_70422 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*> _input_shapes- +:���������&&@::::22 StatefulPartitionedCallStatefulPartitionedCall:W S / _output_shapes :���������&&@ _user_specified_nameinputs � J .__inference_leaky_re_lu_20_layer_call_fn_14576 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_20_layer_call_and_return_conditional_losses_71742 PartitionedCallt IdentityIdentityPartitionedCall:output:0* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*. _input_shapes :���������&&@:W S / _output_shapes :���������&&@ _user_specified_nameinputs � � P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_4813 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_14_layer_call_fn_13643 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_40852 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13630 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � I -__inference_leaky_re_lu_6_layer_call_fn_12418 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_6_layer_call_and_return_conditional_losses_56312 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*/ _input_shapes :���������LL�:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � C__inference_conv2d_12_layer_call_and_return_conditional_losses_6208 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������&&�* paddingSAME* strides 2 Conv2D� 2conv2d_12/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_12/kernel/Regularizer/Square/ReadVariableOp� #conv2d_12/kernel/Regularizer/SquareSquare:conv2d_12/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_12/kernel/Regularizer/Square� "conv2d_12/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_12/kernel/Regularizer/Const� conv2d_12/kernel/Regularizer/SumSum'conv2d_12/kernel/Regularizer/Square:y:0+conv2d_12/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/Sum� "conv2d_12/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_12/kernel/Regularizer/mul/x� conv2d_12/kernel/Regularizer/mulMul+conv2d_12/kernel/Regularizer/mul/x:output:0)conv2d_12/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � C__inference_conv2d_17_layer_call_and_return_conditional_losses_6764 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_17/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_17/kernel/Regularizer/Square/ReadVariableOp� #conv2d_17/kernel/Regularizer/SquareSquare:conv2d_17/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_17/kernel/Regularizer/Square� "conv2d_17/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_17/kernel/Regularizer/Const� conv2d_17/kernel/Regularizer/SumSum'conv2d_17/kernel/Regularizer/Square:y:0+conv2d_17/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_17/kernel/Regularizer/Sum� "conv2d_17/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_17/kernel/Regularizer/mul/x� conv2d_17/kernel/Regularizer/mulMul+conv2d_17/kernel/Regularizer/mul/x:output:0)conv2d_17/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_17/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_3584 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � J .__inference_leaky_re_lu_15_layer_call_fn_13894 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_15_layer_call_and_return_conditional_losses_66322 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_11990 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*R _output_shapes@ >:������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3s IdentityIdentityFusedBatchNormV3:y:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*A _input_shapes0 .:������������:::::Z V 2 _output_shapes :������������ _user_specified_nameinputs � � Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14496 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+���������������������������@:@:@:@:@:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � O__inference_batch_normalization_5_layer_call_and_return_conditional_losses_5461 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � r F__inference_concatenate_layer_call_and_return_conditional_losses_14741 inputs_0 inputs_1 identity\ concat/axisConst* _output_shapes : * dtype0* value B :2 concat/axis� concatConcatV2inputs_0inputs_1concat/axis:output:0* N* T0*0 _output_shapes :���������� 2 concatl IdentityIdentityconcat:output:0* T0*0 _output_shapes :���������� 2 Identity" identityIdentity:output:0*K _input_shapes: 8:����������:����������:Z V 0 _output_shapes :���������� " _user_specified_name inputs/0:ZV 0 _output_shapes :���������� " _user_specified_name inputs/1 � � Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13512 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 5__inference_batch_normalization_3_layer_call_fn_11839 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *A _output_shapes/ -:+���������������������������@*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_3_layer_call_and_return_conditional_losses_29052 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@::::22 StatefulPartitionedCallStatefulPartitionedCall:i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � C__inference_conv2d_10_layer_call_and_return_conditional_losses_5986 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������&&�* paddingSAME* strides 2 Conv2D� 2conv2d_10/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_10/kernel/Regularizer/Square/ReadVariableOp� #conv2d_10/kernel/Regularizer/SquareSquare:conv2d_10/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_10/kernel/Regularizer/Square� "conv2d_10/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_10/kernel/Regularizer/Const� conv2d_10/kernel/Regularizer/SumSum'conv2d_10/kernel/Regularizer/Square:y:0+conv2d_10/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/Sum� "conv2d_10/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_10/kernel/Regularizer/mul/x� conv2d_10/kernel/Regularizer/mulMul+conv2d_10/kernel/Regularizer/mul/x:output:0)conv2d_10/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs �� �6 __inference__traced_save_15554 file_prefix, (savev2_conv2d_kernel_read_readvariableop8 4savev2_batch_normalization_gamma_read_readvariableop7 3savev2_batch_normalization_beta_read_readvariableop> :savev2_batch_normalization_moving_mean_read_readvariableopB >savev2_batch_normalization_moving_variance_read_readvariableop. *savev2_conv2d_1_kernel_read_readvariableop: 6savev2_batch_normalization_1_gamma_read_readvariableop9 5savev2_batch_normalization_1_beta_read_readvariableop@ <savev2_batch_normalization_1_moving_mean_read_readvariableopD @savev2_batch_normalization_1_moving_variance_read_readvariableop. *savev2_conv2d_2_kernel_read_readvariableop: 6savev2_batch_normalization_2_gamma_read_readvariableop9 5savev2_batch_normalization_2_beta_read_readvariableop@ <savev2_batch_normalization_2_moving_mean_read_readvariableopD @savev2_batch_normalization_2_moving_variance_read_readvariableop. *savev2_conv2d_3_kernel_read_readvariableop: 6savev2_batch_normalization_3_gamma_read_readvariableop9 5savev2_batch_normalization_3_beta_read_readvariableop@ <savev2_batch_normalization_3_moving_mean_read_readvariableopD @savev2_batch_normalization_3_moving_variance_read_readvariableop. *savev2_conv2d_4_kernel_read_readvariableop: 6savev2_batch_normalization_4_gamma_read_readvariableop9 5savev2_batch_normalization_4_beta_read_readvariableop@ <savev2_batch_normalization_4_moving_mean_read_readvariableopD @savev2_batch_normalization_4_moving_variance_read_readvariableop. *savev2_conv2d_5_kernel_read_readvariableop: 6savev2_batch_normalization_5_gamma_read_readvariableop9 5savev2_batch_normalization_5_beta_read_readvariableop@ <savev2_batch_normalization_5_moving_mean_read_readvariableopD @savev2_batch_normalization_5_moving_variance_read_readvariableop. *savev2_conv2d_6_kernel_read_readvariableop: 6savev2_batch_normalization_6_gamma_read_readvariableop9 5savev2_batch_normalization_6_beta_read_readvariableop@ <savev2_batch_normalization_6_moving_mean_read_readvariableopD @savev2_batch_normalization_6_moving_variance_read_readvariableop. *savev2_conv2d_7_kernel_read_readvariableop: 6savev2_batch_normalization_7_gamma_read_readvariableop9 5savev2_batch_normalization_7_beta_read_readvariableop@ <savev2_batch_normalization_7_moving_mean_read_readvariableopD @savev2_batch_normalization_7_moving_variance_read_readvariableop. *savev2_conv2d_8_kernel_read_readvariableop: 6savev2_batch_normalization_8_gamma_read_readvariableop9 5savev2_batch_normalization_8_beta_read_readvariableop@ <savev2_batch_normalization_8_moving_mean_read_readvariableopD @savev2_batch_normalization_8_moving_variance_read_readvariableop. *savev2_conv2d_9_kernel_read_readvariableop: 6savev2_batch_normalization_9_gamma_read_readvariableop9 5savev2_batch_normalization_9_beta_read_readvariableop@ <savev2_batch_normalization_9_moving_mean_read_readvariableopD @savev2_batch_normalization_9_moving_variance_read_readvariableop/ +savev2_conv2d_10_kernel_read_readvariableop; 7savev2_batch_normalization_10_gamma_read_readvariableop: 6savev2_batch_normalization_10_beta_read_readvariableopA =savev2_batch_normalization_10_moving_mean_read_readvariableopE Asavev2_batch_normalization_10_moving_variance_read_readvariableop/ +savev2_conv2d_11_kernel_read_readvariableop; 7savev2_batch_normalization_11_gamma_read_readvariableop: 6savev2_batch_normalization_11_beta_read_readvariableopA =savev2_batch_normalization_11_moving_mean_read_readvariableopE Asavev2_batch_normalization_11_moving_variance_read_readvariableop/ +savev2_conv2d_12_kernel_read_readvariableop; 7savev2_batch_normalization_12_gamma_read_readvariableop: 6savev2_batch_normalization_12_beta_read_readvariableopA =savev2_batch_normalization_12_moving_mean_read_readvariableopE Asavev2_batch_normalization_12_moving_variance_read_readvariableop/ +savev2_conv2d_13_kernel_read_readvariableop; 7savev2_batch_normalization_13_gamma_read_readvariableop: 6savev2_batch_normalization_13_beta_read_readvariableopA =savev2_batch_normalization_13_moving_mean_read_readvariableopE Asavev2_batch_normalization_13_moving_variance_read_readvariableop/ +savev2_conv2d_14_kernel_read_readvariableop; 7savev2_batch_normalization_14_gamma_read_readvariableop: 6savev2_batch_normalization_14_beta_read_readvariableopA =savev2_batch_normalization_14_moving_mean_read_readvariableopE Asavev2_batch_normalization_14_moving_variance_read_readvariableop/ +savev2_conv2d_15_kernel_read_readvariableop; 7savev2_batch_normalization_15_gamma_read_readvariableop: 6savev2_batch_normalization_15_beta_read_readvariableopA =savev2_batch_normalization_15_moving_mean_read_readvariableopE Asavev2_batch_normalization_15_moving_variance_read_readvariableop/ +savev2_conv2d_16_kernel_read_readvariableop; 7savev2_batch_normalization_16_gamma_read_readvariableop: 6savev2_batch_normalization_16_beta_read_readvariableopA =savev2_batch_normalization_16_moving_mean_read_readvariableopE Asavev2_batch_normalization_16_moving_variance_read_readvariableop/ +savev2_conv2d_17_kernel_read_readvariableop; 7savev2_batch_normalization_17_gamma_read_readvariableop: 6savev2_batch_normalization_17_beta_read_readvariableopA =savev2_batch_normalization_17_moving_mean_read_readvariableopE Asavev2_batch_normalization_17_moving_variance_read_readvariableop/ +savev2_conv2d_18_kernel_read_readvariableop; 7savev2_batch_normalization_18_gamma_read_readvariableop: 6savev2_batch_normalization_18_beta_read_readvariableopA =savev2_batch_normalization_18_moving_mean_read_readvariableopE Asavev2_batch_normalization_18_moving_variance_read_readvariableop/ +savev2_conv2d_20_kernel_read_readvariableop; 7savev2_batch_normalization_20_gamma_read_readvariableop: 6savev2_batch_normalization_20_beta_read_readvariableopA =savev2_batch_normalization_20_moving_mean_read_readvariableopE Asavev2_batch_normalization_20_moving_variance_read_readvariableop/ +savev2_conv2d_19_kernel_read_readvariableop; 7savev2_batch_normalization_19_gamma_read_readvariableop: 6savev2_batch_normalization_19_beta_read_readvariableopA =savev2_batch_normalization_19_moving_mean_read_readvariableopE Asavev2_batch_normalization_19_moving_variance_read_readvariableop/ +savev2_conv2d_21_kernel_read_readvariableop; 7savev2_batch_normalization_21_gamma_read_readvariableop: 6savev2_batch_normalization_21_beta_read_readvariableopA =savev2_batch_normalization_21_moving_mean_read_readvariableopE Asavev2_batch_normalization_21_moving_variance_read_readvariableop/ +savev2_conv2d_22_kernel_read_readvariableop- )savev2_conv2d_22_bias_read_readvariableop savev2_const identity_1��MergeV2Checkpoints� StaticRegexFullMatchStaticRegexFullMatchfile_prefix" /device:CPU:** _output_shapes : * pattern ^s3://.*2 StaticRegexFullMatchc ConstConst" /device:CPU:** _output_shapes : * dtype0* value B B.part2 Const� Const_1Const" /device:CPU:** _output_shapes : * dtype0*< value3B1 B+_temp_31e202584ecc43df8c3728bb4224b437/part2 Const_1� SelectSelectStaticRegexFullMatch:output:0Const:output:0Const_1:output:0" /device:CPU:** T0* _output_shapes : 2 Selectt StringJoin StringJoinfile_prefixSelect:output:0" /device:CPU:** N* _output_shapes : 2 StringJoinZ num_shardsConst* _output_shapes : * dtype0* value B :2 num_shards ShardedFilename/shardConst" /device:CPU:0* _output_shapes : * dtype0* value B : 2 ShardedFilename/shard� ShardedFilenameShardedFilenameStringJoin:output:0ShardedFilename/shard:output:0num_shards:output:0" /device:CPU:0* _output_shapes : 2 ShardedFilename�4 SaveV2/tensor_namesConst" /device:CPU:0* _output_shapes :q* dtype0*�3 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SaveV2/shape_and_slices:output:0(savev2_conv2d_kernel_read_readvariableop4savev2_batch_normalization_gamma_read_readvariableop3savev2_batch_normalization_beta_read_readvariableop:savev2_batch_normalization_moving_mean_read_readvariableop>savev2_batch_normalization_moving_variance_read_readvariableop*savev2_conv2d_1_kernel_read_readvariableop6savev2_batch_normalization_1_gamma_read_readvariableop5savev2_batch_normalization_1_beta_read_readvariableop<savev2_batch_normalization_1_moving_mean_read_readvariableop@savev2_batch_normalization_1_moving_variance_read_readvariableop*savev2_conv2d_2_kernel_read_readvariableop6savev2_batch_normalization_2_gamma_read_readvariableop5savev2_batch_normalization_2_beta_read_readvariableop<savev2_batch_normalization_2_moving_mean_read_readvariableop@savev2_batch_normalization_2_moving_variance_read_readvariableop*savev2_conv2d_3_kernel_read_readvariableop6savev2_batch_normalization_3_gamma_read_readvariableop5savev2_batch_normalization_3_beta_read_readvariableop<savev2_batch_normalization_3_moving_mean_read_readvariableop@savev2_batch_normalization_3_moving_variance_read_readvariableop*savev2_conv2d_4_kernel_read_readvariableop6savev2_batch_normalization_4_gamma_read_readvariableop5savev2_batch_normalization_4_beta_read_readvariableop<savev2_batch_normalization_4_moving_mean_read_readvariableop@savev2_batch_normalization_4_moving_variance_read_readvariableop*savev2_conv2d_5_kernel_read_readvariableop6savev2_batch_normalization_5_gamma_read_readvariableop5savev2_batch_normalization_5_beta_read_readvariableop<savev2_batch_normalization_5_moving_mean_read_readvariableop@savev2_batch_normalization_5_moving_variance_read_readvariableop*savev2_conv2d_6_kernel_read_readvariableop6savev2_batch_normalization_6_gamma_read_readvariableop5savev2_batch_normalization_6_beta_read_readvariableop<savev2_batch_normalization_6_moving_mean_read_readvariableop@savev2_batch_normalization_6_moving_variance_read_readvariableop*savev2_conv2d_7_kernel_read_readvariableop6savev2_batch_normalization_7_gamma_read_readvariableop5savev2_batch_normalization_7_beta_read_readvariableop<savev2_batch_normalization_7_moving_mean_read_readvariableop@savev2_batch_normalization_7_moving_variance_read_readvariableop*savev2_conv2d_8_kernel_read_readvariableop6savev2_batch_normalization_8_gamma_read_readvariableop5savev2_batch_normalization_8_beta_read_readvariableop<savev2_batch_normalization_8_moving_mean_read_readvariableop@savev2_batch_normalization_8_moving_variance_read_readvariableop*savev2_conv2d_9_kernel_read_readvariableop6savev2_batch_normalization_9_gamma_read_readvariableop5savev2_batch_normalization_9_beta_read_readvariableop<savev2_batch_normalization_9_moving_mean_read_readvariableop@savev2_batch_normalization_9_moving_variance_read_readvariableop+savev2_conv2d_10_kernel_read_readvariableop7savev2_batch_normalization_10_gamma_read_readvariableop6savev2_batch_normalization_10_beta_read_readvariableop=savev2_batch_normalization_10_moving_mean_read_readvariableopAsavev2_batch_normalization_10_moving_variance_read_readvariableop+savev2_conv2d_11_kernel_read_readvariableop7savev2_batch_normalization_11_gamma_read_readvariableop6savev2_batch_normalization_11_beta_read_readvariableop=savev2_batch_normalization_11_moving_mean_read_readvariableopAsavev2_batch_normalization_11_moving_variance_read_readvariableop+savev2_conv2d_12_kernel_read_readvariableop7savev2_batch_normalization_12_gamma_read_readvariableop6savev2_batch_normalization_12_beta_read_readvariableop=savev2_batch_normalization_12_moving_mean_read_readvariableopAsavev2_batch_normalization_12_moving_variance_read_readvariableop+savev2_conv2d_13_kernel_read_readvariableop7savev2_batch_normalization_13_gamma_read_readvariableop6savev2_batch_normalization_13_beta_read_readvariableop=savev2_batch_normalization_13_moving_mean_read_readvariableopAsavev2_batch_normalization_13_moving_variance_read_readvariableop+savev2_conv2d_14_kernel_read_readvariableop7savev2_batch_normalization_14_gamma_read_readvariableop6savev2_batch_normalization_14_beta_read_readvariableop=savev2_batch_normalization_14_moving_mean_read_readvariableopAsavev2_batch_normalization_14_moving_variance_read_readvariableop+savev2_conv2d_15_kernel_read_readvariableop7savev2_batch_normalization_15_gamma_read_readvariableop6savev2_batch_normalization_15_beta_read_readvariableop=savev2_batch_normalization_15_moving_mean_read_readvariableopAsavev2_batch_normalization_15_moving_variance_read_readvariableop+savev2_conv2d_16_kernel_read_readvariableop7savev2_batch_normalization_16_gamma_read_readvariableop6savev2_batch_normalization_16_beta_read_readvariableop=savev2_batch_normalization_16_moving_mean_read_readvariableopAsavev2_batch_normalization_16_moving_variance_read_readvariableop+savev2_conv2d_17_kernel_read_readvariableop7savev2_batch_normalization_17_gamma_read_readvariableop6savev2_batch_normalization_17_beta_read_readvariableop=savev2_batch_normalization_17_moving_mean_read_readvariableop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FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � M__inference_batch_normalization_layer_call_and_return_conditional_losses_2600 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes : * dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes : * dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes : * dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes : * dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+��������������������������� : : : : :* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*A _output_shapes/ -:+��������������������������� 2 Identity" identityIdentity:output:0*P _input_shapes? =:+��������������������������� :::::i e A _output_shapes/ -:+��������������������������� _user_specified_nameinputs � � 3__inference_batch_normalization_layer_call_fn_11424 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :����������� *& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *V fQRO M__inference_batch_normalization_layer_call_and_return_conditional_losses_49212 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*@ _input_shapes/ -:����������� ::::22 StatefulPartitionedCallStatefulPartitionedCall:Y U 1 _output_shapes :����������� _user_specified_nameinputs � c G__inference_leaky_re_lu_8_layer_call_and_return_conditional_losses_5854 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������&&�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_4397 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � I -__inference_leaky_re_lu_8_layer_call_fn_12746 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_8_layer_call_and_return_conditional_losses_58542 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � D__inference_conv2d_12_layer_call_and_return_conditional_losses_13257 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������&&�* paddingSAME* strides 2 Conv2D� 2conv2d_12/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_12/kernel/Regularizer/Square/ReadVariableOp� #conv2d_12/kernel/Regularizer/SquareSquare:conv2d_12/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_12/kernel/Regularizer/Square� "conv2d_12/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_12/kernel/Regularizer/Const� conv2d_12/kernel/Regularizer/SumSum'conv2d_12/kernel/Regularizer/Square:y:0+conv2d_12/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/Sum� "conv2d_12/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_12/kernel/Regularizer/mul/x� conv2d_12/kernel/Regularizer/mulMul+conv2d_12/kernel/Regularizer/mul/x:output:0)conv2d_12/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_5701 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�:::::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � d H__inference_leaky_re_lu_12_layer_call_and_return_conditional_losses_6298 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������&&�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � D__inference_conv2d_10_layer_call_and_return_conditional_losses_12929 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������&&�* paddingSAME* strides 2 Conv2D� 2conv2d_10/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_10/kernel/Regularizer/Square/ReadVariableOp� #conv2d_10/kernel/Regularizer/SquareSquare:conv2d_10/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_10/kernel/Regularizer/Square� "conv2d_10/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_10/kernel/Regularizer/Const� conv2d_10/kernel/Regularizer/SumSum'conv2d_10/kernel/Regularizer/Square:y:0+conv2d_10/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/Sum� "conv2d_10/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_10/kernel/Regularizer/mul/x� conv2d_10/kernel/Regularizer/mulMul+conv2d_10/kernel/Regularizer/mul/x:output:0)conv2d_10/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � C__inference_conv2d_9_layer_call_and_return_conditional_losses_12765 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������&&�* paddingSAME* strides 2 Conv2D� 1conv2d_9/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_9/kernel/Regularizer/Square/ReadVariableOp� "conv2d_9/kernel/Regularizer/SquareSquare9conv2d_9/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_9/kernel/Regularizer/Square� !conv2d_9/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_9/kernel/Regularizer/Const� conv2d_9/kernel/Regularizer/SumSum&conv2d_9/kernel/Regularizer/Square:y:0*conv2d_9/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/Sum� !conv2d_9/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_9/kernel/Regularizer/mul/x� conv2d_9/kernel/Regularizer/mulMul*conv2d_9/kernel/Regularizer/mul/x:output:0(conv2d_9/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � n __inference_loss_fn_9_15052> :conv2d_9_kernel_regularizer_square_readvariableop_resource identity�� 1conv2d_9/kernel/Regularizer/Square/ReadVariableOpReadVariableOp:conv2d_9_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_9/kernel/Regularizer/Square/ReadVariableOp� "conv2d_9/kernel/Regularizer/SquareSquare9conv2d_9/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_9/kernel/Regularizer/Square� !conv2d_9/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_9/kernel/Regularizer/Const� conv2d_9/kernel/Regularizer/SumSum&conv2d_9/kernel/Regularizer/Square:y:0*conv2d_9/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/Sum� !conv2d_9/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_9/kernel/Regularizer/mul/x� conv2d_9/kernel/Regularizer/mulMul*conv2d_9/kernel/Regularizer/mul/x:output:0(conv2d_9/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/mulf IdentityIdentity#conv2d_9/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � H ,__inference_max_pooling2d_layer_call_fn_2623 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *J _output_shapes8 6:4������������������������������������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_max_pooling2d_layer_call_and_return_conditional_losses_26172 PartitionedCall� IdentityIdentityPartitionedCall:output:0* T0*J _output_shapes8 6:4������������������������������������2 Identity" identityIdentity:output:0*I _input_shapes8 6:4������������������������������������:r n J _output_shapes8 6:4������������������������������������ _user_specified_nameinputs � � 6__inference_batch_normalization_18_layer_call_fn_14376 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_18_layer_call_and_return_conditional_losses_69242 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � e I__inference_max_pooling2d_3_layer_call_and_return_conditional_losses_3381 inputs identity� MaxPoolMaxPoolinputs*J _output_shapes8 6:4������������������������������������* ksize * paddingSAME* strides 2 MaxPool� IdentityIdentityMaxPool:output:0* T0*J _output_shapes8 6:4������������������������������������2 Identity" identityIdentity:output:0*I _input_shapes8 6:4������������������������������������:r n J _output_shapes8 6:4������������������������������������ _user_specified_nameinputs � � P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12710 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � o )__inference_conv2d_11_layer_call_fn_13100 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_11_layer_call_and_return_conditional_losses_60972 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � o )__inference_conv2d_20_layer_call_fn_14402 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_20_layer_call_and_return_conditional_losses_69862 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � O__inference_batch_normalization_2_layer_call_and_return_conditional_losses_5127 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*R _output_shapes@ >:������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*A _input_shapes0 .:������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:Z V 2 _output_shapes :������������ _user_specified_nameinputs � � N__inference_batch_normalization_layer_call_and_return_conditional_losses_11398 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes : * dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes : * dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes : * dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes : * dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:����������� : : : : :* epsilon%o�:* is_training( 2 FusedBatchNormV3r IdentityIdentityFusedBatchNormV3:y:0* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*@ _input_shapes/ -:����������� :::::Y U 1 _output_shapes :����������� _user_specified_nameinputs � I -__inference_leaky_re_lu_4_layer_call_fn_12090 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_4_layer_call_and_return_conditional_losses_54082 PartitionedCallw IdentityIdentityPartitionedCall:output:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*1 _input_shapes :������������:Z V 2 _output_shapes :������������ _user_specified_nameinputs � d H__inference_leaky_re_lu_6_layer_call_and_return_conditional_losses_12413 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������LL�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*/ _input_shapes :���������LL�:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14660 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12792 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_11_layer_call_fn_13215 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_61282 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � 5__inference_batch_normalization_8_layer_call_fn_12659 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_8_layer_call_and_return_conditional_losses_57952 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � 6__inference_batch_normalization_21_layer_call_fn_14901 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_48442 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � p __inference_loss_fn_16_15129? ;conv2d_16_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_16/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_16_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_16/kernel/Regularizer/Square/ReadVariableOp� #conv2d_16/kernel/Regularizer/SquareSquare:conv2d_16/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_16/kernel/Regularizer/Square� "conv2d_16/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_16/kernel/Regularizer/Const� conv2d_16/kernel/Regularizer/SumSum'conv2d_16/kernel/Regularizer/Square:y:0+conv2d_16/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_16/kernel/Regularizer/Sum� "conv2d_16/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_16/kernel/Regularizer/mul/x� conv2d_16/kernel/Regularizer/mulMul+conv2d_16/kernel/Regularizer/mul/x:output:0)conv2d_16/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_16/kernel/Regularizer/mulg IdentityIdentity$conv2d_16/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_3761 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � e I__inference_leaky_re_lu_18_layer_call_and_return_conditional_losses_14407 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14268 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � e I__inference_leaky_re_lu_21_layer_call_and_return_conditional_losses_14906 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � J .__inference_leaky_re_lu_12_layer_call_fn_13402 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_12_layer_call_and_return_conditional_losses_62982 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � d H__inference_leaky_re_lu_21_layer_call_and_return_conditional_losses_7337 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12382 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11890 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:�����������@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3r IdentityIdentityFusedBatchNormV3:y:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*@ _input_shapes/ -:�����������@:::::Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � D__inference_conv2d_13_layer_call_and_return_conditional_losses_13421 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_13/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_13/kernel/Regularizer/Square/ReadVariableOp� #conv2d_13/kernel/Regularizer/SquareSquare:conv2d_13/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_13/kernel/Regularizer/Square� "conv2d_13/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_13/kernel/Regularizer/Const� conv2d_13/kernel/Regularizer/SumSum'conv2d_13/kernel/Regularizer/Square:y:0+conv2d_13/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_13/kernel/Regularizer/Sum� "conv2d_13/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_13/kernel/Regularizer/mul/x� conv2d_13/kernel/Regularizer/mulMul+conv2d_13/kernel/Regularizer/mul/x:output:0)conv2d_13/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_13/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_12974 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � d H__inference_leaky_re_lu_13_layer_call_and_return_conditional_losses_6410 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_6351 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_17_layer_call_fn_14212 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_44282 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � D__inference_conv2d_18_layer_call_and_return_conditional_losses_14241 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_18/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_18/kernel/Regularizer/Square/ReadVariableOp� #conv2d_18/kernel/Regularizer/SquareSquare:conv2d_18/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_18/kernel/Regularizer/Square� "conv2d_18/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_18/kernel/Regularizer/Const� conv2d_18/kernel/Regularizer/SumSum'conv2d_18/kernel/Regularizer/Square:y:0+conv2d_18/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_18/kernel/Regularizer/Sum� "conv2d_18/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_18/kernel/Regularizer/mul/x� conv2d_18/kernel/Regularizer/mulMul+conv2d_18/kernel/Regularizer/mul/x:output:0)conv2d_18/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_18/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_20_layer_call_and_return_conditional_losses_4605 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+���������������������������@:@:@:@:@:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � J .__inference_leaky_re_lu_19_layer_call_fn_14734 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_19_layer_call_and_return_conditional_losses_72102 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_10_layer_call_fn_13064 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_60352 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_4844 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � @__inference_conv2d_layer_call_and_return_conditional_losses_4872 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*& _output_shapes : * dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*1 _output_shapes :����������� * paddingSAME* strides 2 Conv2D� /conv2d/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*& _output_shapes : * dtype021 /conv2d/kernel/Regularizer/Square/ReadVariableOp� conv2d/kernel/Regularizer/SquareSquare7conv2d/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : 2" conv2d/kernel/Regularizer/Square� conv2d/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2! conv2d/kernel/Regularizer/Const� conv2d/kernel/Regularizer/SumSum$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/Sum� conv2d/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2! conv2d/kernel/Regularizer/mul/x� conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/mulm IdentityIdentityConv2D:output:0* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*4 _input_shapes# !:�����������::Y U 1 _output_shapes :����������� _user_specified_nameinputs � � M__inference_batch_normalization_layer_call_and_return_conditional_losses_4921 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes : * dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes : * dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes : * dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes : * dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:����������� : : : : :* epsilon%o�:* is_training( 2 FusedBatchNormV3r IdentityIdentityFusedBatchNormV3:y:0* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*@ _input_shapes/ -:����������� :::::Y U 1 _output_shapes :����������� _user_specified_nameinputs � � 6__inference_batch_normalization_20_layer_call_fn_14476 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_20_layer_call_and_return_conditional_losses_70602 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*> _input_shapes- +:���������&&@::::22 StatefulPartitionedCallStatefulPartitionedCall:W S / _output_shapes :���������&&@ _user_specified_nameinputs � l __inference_loss_fn_0_14953< 8conv2d_kernel_regularizer_square_readvariableop_resource identity�� /conv2d/kernel/Regularizer/Square/ReadVariableOpReadVariableOp8conv2d_kernel_regularizer_square_readvariableop_resource*& _output_shapes : * dtype021 /conv2d/kernel/Regularizer/Square/ReadVariableOp� conv2d/kernel/Regularizer/SquareSquare7conv2d/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : 2" conv2d/kernel/Regularizer/Square� conv2d/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2! conv2d/kernel/Regularizer/Const� conv2d/kernel/Regularizer/SumSum$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/Sum� conv2d/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2! conv2d/kernel/Regularizer/mul/x� conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/muld IdentityIdentity!conv2d/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � d H__inference_leaky_re_lu_15_layer_call_and_return_conditional_losses_6632 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_12054 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � c G__inference_leaky_re_lu_9_layer_call_and_return_conditional_losses_5965 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������&&�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_3792 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � C__inference_conv2d_21_layer_call_and_return_conditional_losses_7247 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :� �* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_21/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :� �* dtype024 2conv2d_21/kernel/Regularizer/Square/ReadVariableOp� #conv2d_21/kernel/Regularizer/SquareSquare:conv2d_21/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :� �2% #conv2d_21/kernel/Regularizer/Square� "conv2d_21/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_21/kernel/Regularizer/Const� conv2d_21/kernel/Regularizer/SumSum'conv2d_21/kernel/Regularizer/Square:y:0+conv2d_21/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_21/kernel/Regularizer/Sum� "conv2d_21/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_21/kernel/Regularizer/mul/x� conv2d_21/kernel/Regularizer/mulMul+conv2d_21/kernel/Regularizer/mul/x:output:0)conv2d_21/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_21/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :���������� ::X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_15_layer_call_and_return_conditional_losses_6573 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_10_layer_call_fn_12987 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_36572 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � �) F__inference_functional_1_layer_call_and_return_conditional_losses_7516 input_1 conv2d_4881 batch_normalization_4948 batch_normalization_4950 batch_normalization_4952 batch_normalization_4954 conv2d_1_4993 batch_normalization_1_5060 batch_normalization_1_5062 batch_normalization_1_5064 batch_normalization_1_5066 conv2d_2_5105 batch_normalization_2_5172 batch_normalization_2_5174 batch_normalization_2_5176 batch_normalization_2_5178 conv2d_3_5216 batch_normalization_3_5283 batch_normalization_3_5285 batch_normalization_3_5287 batch_normalization_3_5289 conv2d_4_5327 batch_normalization_4_5394 batch_normalization_4_5396 batch_normalization_4_5398 batch_normalization_4_5400 conv2d_5_5439 batch_normalization_5_5506 batch_normalization_5_5508 batch_normalization_5_5510 batch_normalization_5_5512 conv2d_6_5550 batch_normalization_6_5617 batch_normalization_6_5619 batch_normalization_6_5621 batch_normalization_6_5623 conv2d_7_5661 batch_normalization_7_5728 batch_normalization_7_5730 batch_normalization_7_5732 batch_normalization_7_5734 conv2d_8_5773 batch_normalization_8_5840 batch_normalization_8_5842 batch_normalization_8_5844 batch_normalization_8_5846 conv2d_9_5884 batch_normalization_9_5951 batch_normalization_9_5953 batch_normalization_9_5955 batch_normalization_9_5957 conv2d_10_5995 batch_normalization_10_6062 batch_normalization_10_6064 batch_normalization_10_6066 batch_normalization_10_6068 conv2d_11_6106 batch_normalization_11_6173 batch_normalization_11_6175 batch_normalization_11_6177 batch_normalization_11_6179 conv2d_12_6217 batch_normalization_12_6284 batch_normalization_12_6286 batch_normalization_12_6288 batch_normalization_12_6290 conv2d_13_6329 batch_normalization_13_6396 batch_normalization_13_6398 batch_normalization_13_6400 batch_normalization_13_6402 conv2d_14_6440 batch_normalization_14_6507 batch_normalization_14_6509 batch_normalization_14_6511 batch_normalization_14_6513 conv2d_15_6551 batch_normalization_15_6618 batch_normalization_15_6620 batch_normalization_15_6622 batch_normalization_15_6624 conv2d_16_6662 batch_normalization_16_6729 batch_normalization_16_6731 batch_normalization_16_6733 batch_normalization_16_6735 conv2d_17_6773 batch_normalization_17_6840 batch_normalization_17_6842 batch_normalization_17_6844 batch_normalization_17_6846 conv2d_18_6884 batch_normalization_18_6951 batch_normalization_18_6953 batch_normalization_18_6955 batch_normalization_18_6957 conv2d_20_6995 conv2d_19_7020 batch_normalization_20_7087 batch_normalization_20_7089 batch_normalization_20_7091 batch_normalization_20_7093 batch_normalization_19_7160 batch_normalization_19_7162 batch_normalization_19_7164 batch_normalization_19_7166 conv2d_21_7256 batch_normalization_21_7323 batch_normalization_21_7325 batch_normalization_21_7327 batch_normalization_21_7329 conv2d_22_7372 conv2d_22_7374 identity��+batch_normalization/StatefulPartitionedCall�-batch_normalization_1/StatefulPartitionedCall�.batch_normalization_10/StatefulPartitionedCall�.batch_normalization_11/StatefulPartitionedCall�.batch_normalization_12/StatefulPartitionedCall�.batch_normalization_13/StatefulPartitionedCall�.batch_normalization_14/StatefulPartitionedCall�.batch_normalization_15/StatefulPartitionedCall�.batch_normalization_16/StatefulPartitionedCall�.batch_normalization_17/StatefulPartitionedCall�.batch_normalization_18/StatefulPartitionedCall�.batch_normalization_19/StatefulPartitionedCall�-batch_normalization_2/StatefulPartitionedCall�.batch_normalization_20/StatefulPartitionedCall�.batch_normalization_21/StatefulPartitionedCall�-batch_normalization_3/StatefulPartitionedCall�-batch_normalization_4/StatefulPartitionedCall�-batch_normalization_5/StatefulPartitionedCall�-batch_normalization_6/StatefulPartitionedCall�-batch_normalization_7/StatefulPartitionedCall�-batch_normalization_8/StatefulPartitionedCall�-batch_normalization_9/StatefulPartitionedCall�conv2d/StatefulPartitionedCall� 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@__inference_conv2d_layer_call_and_return_conditional_losses_48722 conv2d/StatefulPartitionedCall� +batch_normalization/StatefulPartitionedCallStatefulPartitionedCall'conv2d/StatefulPartitionedCall:output:0batch_normalization_4948batch_normalization_4950batch_normalization_4952batch_normalization_4954* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :����������� *$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *V fQRO M__inference_batch_normalization_layer_call_and_return_conditional_losses_49032- +batch_normalization/StatefulPartitionedCall� leaky_re_lu/PartitionedCallPartitionedCall4batch_normalization/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :����������� * _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *N fIRG E__inference_leaky_re_lu_layer_call_and_return_conditional_losses_49622 leaky_re_lu/PartitionedCall� max_pooling2d/PartitionedCallPartitionedCall$leaky_re_lu/PartitionedCall:output:0* Tin 2* Tout 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O__inference_batch_normalization_1_layer_call_and_return_conditional_losses_50152/ -batch_normalization_1/StatefulPartitionedCall� leaky_re_lu_1/PartitionedCallPartitionedCall6batch_normalization_1/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_1_layer_call_and_return_conditional_losses_50742 leaky_re_lu_1/PartitionedCall� max_pooling2d_1/PartitionedCallPartitionedCall&leaky_re_lu_1/PartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *R fMRK I__inference_max_pooling2d_1_layer_call_and_return_conditional_losses_27332! max_pooling2d_1/PartitionedCall� conv2d_2/StatefulPartitionedCallStatefulPartitionedCall(max_pooling2d_1/PartitionedCall:output:0 conv2d_2_5105* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_2_layer_call_and_return_conditional_losses_50962" conv2d_2/StatefulPartitionedCall� -batch_normalization_2/StatefulPartitionedCallStatefulPartitionedCall)conv2d_2/StatefulPartitionedCall:output:0batch_normalization_2_5172batch_normalization_2_5174batch_normalization_2_5176batch_normalization_2_5178* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_2_layer_call_and_return_conditional_losses_51272/ -batch_normalization_2/StatefulPartitionedCall� leaky_re_lu_2/PartitionedCallPartitionedCall6batch_normalization_2/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_2_layer_call_and_return_conditional_losses_51862 leaky_re_lu_2/PartitionedCall� conv2d_3/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_2/PartitionedCall:output:0 conv2d_3_5216* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_3_layer_call_and_return_conditional_losses_52072" conv2d_3/StatefulPartitionedCall� -batch_normalization_3/StatefulPartitionedCallStatefulPartitionedCall)conv2d_3/StatefulPartitionedCall:output:0batch_normalization_3_5283batch_normalization_3_5285batch_normalization_3_5287batch_normalization_3_5289* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_3_layer_call_and_return_conditional_losses_52382/ -batch_normalization_3/StatefulPartitionedCall� leaky_re_lu_3/PartitionedCallPartitionedCall6batch_normalization_3/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_3_layer_call_and_return_conditional_losses_52972 leaky_re_lu_3/PartitionedCall� conv2d_4/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_3/PartitionedCall:output:0 conv2d_4_5327* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_4_layer_call_and_return_conditional_losses_53182" conv2d_4/StatefulPartitionedCall� -batch_normalization_4/StatefulPartitionedCallStatefulPartitionedCall)conv2d_4/StatefulPartitionedCall:output:0batch_normalization_4_5394batch_normalization_4_5396batch_normalization_4_5398batch_normalization_4_5400* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_4_layer_call_and_return_conditional_losses_53492/ -batch_normalization_4/StatefulPartitionedCall� leaky_re_lu_4/PartitionedCallPartitionedCall6batch_normalization_4/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_4_layer_call_and_return_conditional_losses_54082 leaky_re_lu_4/PartitionedCall� max_pooling2d_2/PartitionedCallPartitionedCall&leaky_re_lu_4/PartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *R fMRK I__inference_max_pooling2d_2_layer_call_and_return_conditional_losses_30572! max_pooling2d_2/PartitionedCall� conv2d_5/StatefulPartitionedCallStatefulPartitionedCall(max_pooling2d_2/PartitionedCall:output:0 conv2d_5_5439* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_5_layer_call_and_return_conditional_losses_54302" conv2d_5/StatefulPartitionedCall� -batch_normalization_5/StatefulPartitionedCallStatefulPartitionedCall)conv2d_5/StatefulPartitionedCall:output:0batch_normalization_5_5506batch_normalization_5_5508batch_normalization_5_5510batch_normalization_5_5512* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_5_layer_call_and_return_conditional_losses_54612/ -batch_normalization_5/StatefulPartitionedCall� leaky_re_lu_5/PartitionedCallPartitionedCall6batch_normalization_5/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_5_layer_call_and_return_conditional_losses_55202 leaky_re_lu_5/PartitionedCall� conv2d_6/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_5/PartitionedCall:output:0 conv2d_6_5550* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_6_layer_call_and_return_conditional_losses_55412" conv2d_6/StatefulPartitionedCall� -batch_normalization_6/StatefulPartitionedCallStatefulPartitionedCall)conv2d_6/StatefulPartitionedCall:output:0batch_normalization_6_5617batch_normalization_6_5619batch_normalization_6_5621batch_normalization_6_5623* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_6_layer_call_and_return_conditional_losses_55722/ -batch_normalization_6/StatefulPartitionedCall� leaky_re_lu_6/PartitionedCallPartitionedCall6batch_normalization_6/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_6_layer_call_and_return_conditional_losses_56312 leaky_re_lu_6/PartitionedCall� conv2d_7/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_6/PartitionedCall:output:0 conv2d_7_5661* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_7_layer_call_and_return_conditional_losses_56522" conv2d_7/StatefulPartitionedCall� -batch_normalization_7/StatefulPartitionedCallStatefulPartitionedCall)conv2d_7/StatefulPartitionedCall:output:0batch_normalization_7_5728batch_normalization_7_5730batch_normalization_7_5732batch_normalization_7_5734* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_56832/ 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conv2d/kernel/Regularizer/SumSum$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/Sum� conv2d/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2! conv2d/kernel/Regularizer/mul/x� conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/mul� 1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_1_4993*& _output_shapes : @* dtype023 1conv2d_1/kernel/Regularizer/Square/ReadVariableOp� "conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : @2$ "conv2d_1/kernel/Regularizer/Square� !conv2d_1/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_1/kernel/Regularizer/Const� conv2d_1/kernel/Regularizer/SumSum&conv2d_1/kernel/Regularizer/Square:y:0*conv2d_1/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/Sum� !conv2d_1/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_1/kernel/Regularizer/mul/x� conv2d_1/kernel/Regularizer/mulMul*conv2d_1/kernel/Regularizer/mul/x:output:0(conv2d_1/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/mul� 1conv2d_2/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_2_5105*' _output_shapes :@�* dtype023 1conv2d_2/kernel/Regularizer/Square/ReadVariableOp� "conv2d_2/kernel/Regularizer/SquareSquare9conv2d_2/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_2/kernel/Regularizer/Square� !conv2d_2/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_2/kernel/Regularizer/Const� conv2d_2/kernel/Regularizer/SumSum&conv2d_2/kernel/Regularizer/Square:y:0*conv2d_2/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/Sum� !conv2d_2/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_2/kernel/Regularizer/mul/x� conv2d_2/kernel/Regularizer/mulMul*conv2d_2/kernel/Regularizer/mul/x:output:0(conv2d_2/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/mul� 1conv2d_3/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_3_5216*' _output_shapes :�@* dtype023 1conv2d_3/kernel/Regularizer/Square/ReadVariableOp� "conv2d_3/kernel/Regularizer/SquareSquare9conv2d_3/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2$ "conv2d_3/kernel/Regularizer/Square� !conv2d_3/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_3/kernel/Regularizer/Const� conv2d_3/kernel/Regularizer/SumSum&conv2d_3/kernel/Regularizer/Square:y:0*conv2d_3/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/Sum� !conv2d_3/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_3/kernel/Regularizer/mul/x� conv2d_3/kernel/Regularizer/mulMul*conv2d_3/kernel/Regularizer/mul/x:output:0(conv2d_3/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/mul� 1conv2d_4/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_4_5327*' _output_shapes :@�* dtype023 1conv2d_4/kernel/Regularizer/Square/ReadVariableOp� "conv2d_4/kernel/Regularizer/SquareSquare9conv2d_4/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_4/kernel/Regularizer/Square� !conv2d_4/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_4/kernel/Regularizer/Const� conv2d_4/kernel/Regularizer/SumSum&conv2d_4/kernel/Regularizer/Square:y:0*conv2d_4/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/Sum� !conv2d_4/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_4/kernel/Regularizer/mul/x� conv2d_4/kernel/Regularizer/mulMul*conv2d_4/kernel/Regularizer/mul/x:output:0(conv2d_4/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/mul� 1conv2d_5/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_5_5439*( _output_shapes :��* dtype023 1conv2d_5/kernel/Regularizer/Square/ReadVariableOp� "conv2d_5/kernel/Regularizer/SquareSquare9conv2d_5/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_5/kernel/Regularizer/Square� !conv2d_5/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_5/kernel/Regularizer/Const� conv2d_5/kernel/Regularizer/SumSum&conv2d_5/kernel/Regularizer/Square:y:0*conv2d_5/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/Sum� !conv2d_5/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_5/kernel/Regularizer/mul/x� conv2d_5/kernel/Regularizer/mulMul*conv2d_5/kernel/Regularizer/mul/x:output:0(conv2d_5/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/mul� 1conv2d_6/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_6_5550*( _output_shapes :��* dtype023 1conv2d_6/kernel/Regularizer/Square/ReadVariableOp� "conv2d_6/kernel/Regularizer/SquareSquare9conv2d_6/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_6/kernel/Regularizer/Square� !conv2d_6/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_6/kernel/Regularizer/Const� conv2d_6/kernel/Regularizer/SumSum&conv2d_6/kernel/Regularizer/Square:y:0*conv2d_6/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/Sum� !conv2d_6/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_6/kernel/Regularizer/mul/x� conv2d_6/kernel/Regularizer/mulMul*conv2d_6/kernel/Regularizer/mul/x:output:0(conv2d_6/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/mul� 1conv2d_7/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_7_5661*( _output_shapes :��* dtype023 1conv2d_7/kernel/Regularizer/Square/ReadVariableOp� "conv2d_7/kernel/Regularizer/SquareSquare9conv2d_7/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_7/kernel/Regularizer/Square� !conv2d_7/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_7/kernel/Regularizer/Const� conv2d_7/kernel/Regularizer/SumSum&conv2d_7/kernel/Regularizer/Square:y:0*conv2d_7/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/Sum� !conv2d_7/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_7/kernel/Regularizer/mul/x� conv2d_7/kernel/Regularizer/mulMul*conv2d_7/kernel/Regularizer/mul/x:output:0(conv2d_7/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/mul� 1conv2d_8/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_8_5773*( _output_shapes :��* dtype023 1conv2d_8/kernel/Regularizer/Square/ReadVariableOp� "conv2d_8/kernel/Regularizer/SquareSquare9conv2d_8/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_8/kernel/Regularizer/Square� !conv2d_8/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_8/kernel/Regularizer/Const� conv2d_8/kernel/Regularizer/SumSum&conv2d_8/kernel/Regularizer/Square:y:0*conv2d_8/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/Sum� !conv2d_8/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_8/kernel/Regularizer/mul/x� conv2d_8/kernel/Regularizer/mulMul*conv2d_8/kernel/Regularizer/mul/x:output:0(conv2d_8/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/mul� 1conv2d_9/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_9_5884*( _output_shapes :��* dtype023 1conv2d_9/kernel/Regularizer/Square/ReadVariableOp� "conv2d_9/kernel/Regularizer/SquareSquare9conv2d_9/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_9/kernel/Regularizer/Square� !conv2d_9/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_9/kernel/Regularizer/Const� conv2d_9/kernel/Regularizer/SumSum&conv2d_9/kernel/Regularizer/Square:y:0*conv2d_9/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/Sum� !conv2d_9/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_9/kernel/Regularizer/mul/x� conv2d_9/kernel/Regularizer/mulMul*conv2d_9/kernel/Regularizer/mul/x:output:0(conv2d_9/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/mul� 2conv2d_10/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_10_5995*( _output_shapes :��* dtype024 2conv2d_10/kernel/Regularizer/Square/ReadVariableOp� #conv2d_10/kernel/Regularizer/SquareSquare:conv2d_10/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_10/kernel/Regularizer/Square� "conv2d_10/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_10/kernel/Regularizer/Const� conv2d_10/kernel/Regularizer/SumSum'conv2d_10/kernel/Regularizer/Square:y:0+conv2d_10/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/Sum� "conv2d_10/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_10/kernel/Regularizer/mul/x� conv2d_10/kernel/Regularizer/mulMul+conv2d_10/kernel/Regularizer/mul/x:output:0)conv2d_10/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/mul� 2conv2d_11/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_11_6106*( _output_shapes :��* dtype024 2conv2d_11/kernel/Regularizer/Square/ReadVariableOp� #conv2d_11/kernel/Regularizer/SquareSquare:conv2d_11/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_11/kernel/Regularizer/Square� "conv2d_11/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_11/kernel/Regularizer/Const� conv2d_11/kernel/Regularizer/SumSum'conv2d_11/kernel/Regularizer/Square:y:0+conv2d_11/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/Sum� "conv2d_11/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_11/kernel/Regularizer/mul/x� conv2d_11/kernel/Regularizer/mulMul+conv2d_11/kernel/Regularizer/mul/x:output:0)conv2d_11/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/mul� 2conv2d_12/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_12_6217*( _output_shapes :��* dtype024 2conv2d_12/kernel/Regularizer/Square/ReadVariableOp� #conv2d_12/kernel/Regularizer/SquareSquare:conv2d_12/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_12/kernel/Regularizer/Square� "conv2d_12/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_12/kernel/Regularizer/Const� conv2d_12/kernel/Regularizer/SumSum'conv2d_12/kernel/Regularizer/Square:y:0+conv2d_12/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/Sum� "conv2d_12/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_12/kernel/Regularizer/mul/x� conv2d_12/kernel/Regularizer/mulMul+conv2d_12/kernel/Regularizer/mul/x:output:0)conv2d_12/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/mul� 2conv2d_13/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_13_6329*( _output_shapes :��* dtype024 2conv2d_13/kernel/Regularizer/Square/ReadVariableOp� #conv2d_13/kernel/Regularizer/SquareSquare:conv2d_13/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_13/kernel/Regularizer/Square� "conv2d_13/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_13/kernel/Regularizer/Const� conv2d_13/kernel/Regularizer/SumSum'conv2d_13/kernel/Regularizer/Square:y:0+conv2d_13/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_13/kernel/Regularizer/Sum� "conv2d_13/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_13/kernel/Regularizer/mul/x� conv2d_13/kernel/Regularizer/mulMul+conv2d_13/kernel/Regularizer/mul/x:output:0)conv2d_13/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_13/kernel/Regularizer/mul� 2conv2d_14/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_14_6440*( _output_shapes :��* dtype024 2conv2d_14/kernel/Regularizer/Square/ReadVariableOp� #conv2d_14/kernel/Regularizer/SquareSquare:conv2d_14/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_14/kernel/Regularizer/Square� "conv2d_14/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_14/kernel/Regularizer/Const� conv2d_14/kernel/Regularizer/SumSum'conv2d_14/kernel/Regularizer/Square:y:0+conv2d_14/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_14/kernel/Regularizer/Sum� "conv2d_14/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_14/kernel/Regularizer/mul/x� conv2d_14/kernel/Regularizer/mulMul+conv2d_14/kernel/Regularizer/mul/x:output:0)conv2d_14/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_14/kernel/Regularizer/mul� 2conv2d_15/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_15_6551*( _output_shapes :��* dtype024 2conv2d_15/kernel/Regularizer/Square/ReadVariableOp� #conv2d_15/kernel/Regularizer/SquareSquare:conv2d_15/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_15/kernel/Regularizer/Square� "conv2d_15/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_15/kernel/Regularizer/Const� conv2d_15/kernel/Regularizer/SumSum'conv2d_15/kernel/Regularizer/Square:y:0+conv2d_15/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_15/kernel/Regularizer/Sum� "conv2d_15/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_15/kernel/Regularizer/mul/x� conv2d_15/kernel/Regularizer/mulMul+conv2d_15/kernel/Regularizer/mul/x:output:0)conv2d_15/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_15/kernel/Regularizer/mul� 2conv2d_16/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_16_6662*( _output_shapes :��* dtype024 2conv2d_16/kernel/Regularizer/Square/ReadVariableOp� #conv2d_16/kernel/Regularizer/SquareSquare:conv2d_16/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_16/kernel/Regularizer/Square� "conv2d_16/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_16/kernel/Regularizer/Const� conv2d_16/kernel/Regularizer/SumSum'conv2d_16/kernel/Regularizer/Square:y:0+conv2d_16/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_16/kernel/Regularizer/Sum� "conv2d_16/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_16/kernel/Regularizer/mul/x� conv2d_16/kernel/Regularizer/mulMul+conv2d_16/kernel/Regularizer/mul/x:output:0)conv2d_16/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_16/kernel/Regularizer/mul� 2conv2d_17/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_17_6773*( _output_shapes :��* dtype024 2conv2d_17/kernel/Regularizer/Square/ReadVariableOp� #conv2d_17/kernel/Regularizer/SquareSquare:conv2d_17/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_17/kernel/Regularizer/Square� "conv2d_17/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_17/kernel/Regularizer/Const� conv2d_17/kernel/Regularizer/SumSum'conv2d_17/kernel/Regularizer/Square:y:0+conv2d_17/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_17/kernel/Regularizer/Sum� "conv2d_17/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_17/kernel/Regularizer/mul/x� conv2d_17/kernel/Regularizer/mulMul+conv2d_17/kernel/Regularizer/mul/x:output:0)conv2d_17/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_17/kernel/Regularizer/mul� 2conv2d_18/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_18_6884*( _output_shapes :��* dtype024 2conv2d_18/kernel/Regularizer/Square/ReadVariableOp� #conv2d_18/kernel/Regularizer/SquareSquare:conv2d_18/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_18/kernel/Regularizer/Square� "conv2d_18/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_18/kernel/Regularizer/Const� conv2d_18/kernel/Regularizer/SumSum'conv2d_18/kernel/Regularizer/Square:y:0+conv2d_18/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_18/kernel/Regularizer/Sum� "conv2d_18/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_18/kernel/Regularizer/mul/x� conv2d_18/kernel/Regularizer/mulMul+conv2d_18/kernel/Regularizer/mul/x:output:0)conv2d_18/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_18/kernel/Regularizer/mul� 2conv2d_20/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_20_6995*' _output_shapes :�@* dtype024 2conv2d_20/kernel/Regularizer/Square/ReadVariableOp� #conv2d_20/kernel/Regularizer/SquareSquare:conv2d_20/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2% #conv2d_20/kernel/Regularizer/Square� "conv2d_20/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_20/kernel/Regularizer/Const� conv2d_20/kernel/Regularizer/SumSum'conv2d_20/kernel/Regularizer/Square:y:0+conv2d_20/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_20/kernel/Regularizer/Sum� "conv2d_20/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_20/kernel/Regularizer/mul/x� conv2d_20/kernel/Regularizer/mulMul+conv2d_20/kernel/Regularizer/mul/x:output:0)conv2d_20/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_20/kernel/Regularizer/mul� 2conv2d_19/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_19_7020*( _output_shapes :��* dtype024 2conv2d_19/kernel/Regularizer/Square/ReadVariableOp� #conv2d_19/kernel/Regularizer/SquareSquare:conv2d_19/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_19/kernel/Regularizer/Square� "conv2d_19/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_19/kernel/Regularizer/Const� conv2d_19/kernel/Regularizer/SumSum'conv2d_19/kernel/Regularizer/Square:y:0+conv2d_19/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_19/kernel/Regularizer/Sum� "conv2d_19/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_19/kernel/Regularizer/mul/x� conv2d_19/kernel/Regularizer/mulMul+conv2d_19/kernel/Regularizer/mul/x:output:0)conv2d_19/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_19/kernel/Regularizer/mul� 2conv2d_21/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_21_7256*( _output_shapes :� �* dtype024 2conv2d_21/kernel/Regularizer/Square/ReadVariableOp� #conv2d_21/kernel/Regularizer/SquareSquare:conv2d_21/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :� �2% #conv2d_21/kernel/Regularizer/Square� "conv2d_21/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_21/kernel/Regularizer/Const� conv2d_21/kernel/Regularizer/SumSum'conv2d_21/kernel/Regularizer/Square:y:0+conv2d_21/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_21/kernel/Regularizer/Sum� "conv2d_21/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_21/kernel/Regularizer/mul/x� conv2d_21/kernel/Regularizer/mulMul+conv2d_21/kernel/Regularizer/mul/x:output:0)conv2d_21/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_21/kernel/Regularizer/mul� 2conv2d_22/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_22_7372*( _output_shapes :��* dtype024 2conv2d_22/kernel/Regularizer/Square/ReadVariableOp� #conv2d_22/kernel/Regularizer/SquareSquare:conv2d_22/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_22/kernel/Regularizer/Square� "conv2d_22/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_22/kernel/Regularizer/Const� conv2d_22/kernel/Regularizer/SumSum'conv2d_22/kernel/Regularizer/Square:y:0+conv2d_22/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_22/kernel/Regularizer/Sum� "conv2d_22/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_22/kernel/Regularizer/mul/x� conv2d_22/kernel/Regularizer/mulMul+conv2d_22/kernel/Regularizer/mul/x:output:0)conv2d_22/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_22/kernel/Regularizer/mul� IdentityIdentity*conv2d_22/StatefulPartitionedCall:output:0,^batch_normalization/StatefulPartitionedCall.^batch_normalization_1/StatefulPartitionedCall/^batch_normalization_10/StatefulPartitionedCall/^batch_normalization_11/StatefulPartitionedCall/^batch_normalization_12/StatefulPartitionedCall/^batch_normalization_13/StatefulPartitionedCall/^batch_normalization_14/StatefulPartitionedCall/^batch_normalization_15/StatefulPartitionedCall/^batch_normalization_16/StatefulPartitionedCall/^batch_normalization_17/StatefulPartitionedCall/^batch_normalization_18/StatefulPartitionedCall/^batch_normalization_19/StatefulPartitionedCall.^batch_normalization_2/StatefulPartitionedCall/^batch_normalization_20/StatefulPartitionedCall/^batch_normalization_21/StatefulPartitionedCall.^batch_normalization_3/StatefulPartitionedCall.^batch_normalization_4/StatefulPartitionedCall.^batch_normalization_5/StatefulPartitionedCall.^batch_normalization_6/StatefulPartitionedCall.^batch_normalization_7/StatefulPartitionedCall.^batch_normalization_8/StatefulPartitionedCall.^batch_normalization_9/StatefulPartitionedCall^conv2d/StatefulPartitionedCall!^conv2d_1/StatefulPartitionedCall"^conv2d_10/StatefulPartitionedCall"^conv2d_11/StatefulPartitionedCall"^conv2d_12/StatefulPartitionedCall"^conv2d_13/StatefulPartitionedCall"^conv2d_14/StatefulPartitionedCall"^conv2d_15/StatefulPartitionedCall"^conv2d_16/StatefulPartitionedCall"^conv2d_17/StatefulPartitionedCall"^conv2d_18/StatefulPartitionedCall"^conv2d_19/StatefulPartitionedCall!^conv2d_2/StatefulPartitionedCall"^conv2d_20/StatefulPartitionedCall"^conv2d_21/StatefulPartitionedCall"^conv2d_22/StatefulPartitionedCall!^conv2d_3/StatefulPartitionedCall!^conv2d_4/StatefulPartitionedCall!^conv2d_5/StatefulPartitionedCall!^conv2d_6/StatefulPartitionedCall!^conv2d_7/StatefulPartitionedCall!^conv2d_8/StatefulPartitionedCall!^conv2d_9/StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*� _input_shapes� �:�����������::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::2Z +batch_normalization/StatefulPartitionedCall+batch_normalization/StatefulPartitionedCall2^ -batch_normalization_1/StatefulPartitionedCall-batch_normalization_1/StatefulPartitionedCall2` .batch_normalization_10/StatefulPartitionedCall.batch_normalization_10/StatefulPartitionedCall2` .batch_normalization_11/StatefulPartitionedCall.batch_normalization_11/StatefulPartitionedCall2` .batch_normalization_12/StatefulPartitionedCall.batch_normalization_12/StatefulPartitionedCall2` .batch_normalization_13/StatefulPartitionedCall.batch_normalization_13/StatefulPartitionedCall2` .batch_normalization_14/StatefulPartitionedCall.batch_normalization_14/StatefulPartitionedCall2` .batch_normalization_15/StatefulPartitionedCall.batch_normalization_15/StatefulPartitionedCall2` .batch_normalization_16/StatefulPartitionedCall.batch_normalization_16/StatefulPartitionedCall2` .batch_normalization_17/StatefulPartitionedCall.batch_normalization_17/StatefulPartitionedCall2` .batch_normalization_18/StatefulPartitionedCall.batch_normalization_18/StatefulPartitionedCall2` .batch_normalization_19/StatefulPartitionedCall.batch_normalization_19/StatefulPartitionedCall2^ -batch_normalization_2/StatefulPartitionedCall-batch_normalization_2/StatefulPartitionedCall2` .batch_normalization_20/StatefulPartitionedCall.batch_normalization_20/StatefulPartitionedCall2` .batch_normalization_21/StatefulPartitionedCall.batch_normalization_21/StatefulPartitionedCall2^ -batch_normalization_3/StatefulPartitionedCall-batch_normalization_3/StatefulPartitionedCall2^ -batch_normalization_4/StatefulPartitionedCall-batch_normalization_4/StatefulPartitionedCall2^ -batch_normalization_5/StatefulPartitionedCall-batch_normalization_5/StatefulPartitionedCall2^ -batch_normalization_6/StatefulPartitionedCall-batch_normalization_6/StatefulPartitionedCall2^ -batch_normalization_7/StatefulPartitionedCall-batch_normalization_7/StatefulPartitionedCall2^ -batch_normalization_8/StatefulPartitionedCall-batch_normalization_8/StatefulPartitionedCall2^ -batch_normalization_9/StatefulPartitionedCall-batch_normalization_9/StatefulPartitionedCall2@ conv2d/StatefulPartitionedCallconv2d/StatefulPartitionedCall2D conv2d_1/StatefulPartitionedCall conv2d_1/StatefulPartitionedCall2F !conv2d_10/StatefulPartitionedCall!conv2d_10/StatefulPartitionedCall2F !conv2d_11/StatefulPartitionedCall!conv2d_11/StatefulPartitionedCall2F !conv2d_12/StatefulPartitionedCall!conv2d_12/StatefulPartitionedCall2F !conv2d_13/StatefulPartitionedCall!conv2d_13/StatefulPartitionedCall2F !conv2d_14/StatefulPartitionedCall!conv2d_14/StatefulPartitionedCall2F !conv2d_15/StatefulPartitionedCall!conv2d_15/StatefulPartitionedCall2F !conv2d_16/StatefulPartitionedCall!conv2d_16/StatefulPartitionedCall2F !conv2d_17/StatefulPartitionedCall!conv2d_17/StatefulPartitionedCall2F !conv2d_18/StatefulPartitionedCall!conv2d_18/StatefulPartitionedCall2F !conv2d_19/StatefulPartitionedCall!conv2d_19/StatefulPartitionedCall2D conv2d_2/StatefulPartitionedCall conv2d_2/StatefulPartitionedCall2F !conv2d_20/StatefulPartitionedCall!conv2d_20/StatefulPartitionedCall2F !conv2d_21/StatefulPartitionedCall!conv2d_21/StatefulPartitionedCall2F !conv2d_22/StatefulPartitionedCall!conv2d_22/StatefulPartitionedCall2D conv2d_3/StatefulPartitionedCall conv2d_3/StatefulPartitionedCall2D conv2d_4/StatefulPartitionedCall conv2d_4/StatefulPartitionedCall2D conv2d_5/StatefulPartitionedCall conv2d_5/StatefulPartitionedCall2D conv2d_6/StatefulPartitionedCall conv2d_6/StatefulPartitionedCall2D conv2d_7/StatefulPartitionedCall conv2d_7/StatefulPartitionedCall2D conv2d_8/StatefulPartitionedCall conv2d_8/StatefulPartitionedCall2D conv2d_9/StatefulPartitionedCall conv2d_9/StatefulPartitionedCall:Z V 1 _output_shapes :����������� ! _user_specified_name input_1 � � P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_7296 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_11_layer_call_fn_13228 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_61462 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � d H__inference_leaky_re_lu_19_layer_call_and_return_conditional_losses_7210 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14168 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_15_layer_call_and_return_conditional_losses_6591 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_16_layer_call_and_return_conditional_losses_6684 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14514 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+���������������������������@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@:::::i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14450 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*K _output_shapes9 7:���������&&@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3p IdentityIdentityFusedBatchNormV3:y:0* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*> _input_shapes- +:���������&&@:::::W S / _output_shapes :���������&&@ _user_specified_nameinputs � � P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_3657 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � p __inference_loss_fn_17_15140? ;conv2d_17_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_17/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_17_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_17/kernel/Regularizer/Square/ReadVariableOp� #conv2d_17/kernel/Regularizer/SquareSquare:conv2d_17/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_17/kernel/Regularizer/Square� "conv2d_17/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_17/kernel/Regularizer/Const� conv2d_17/kernel/Regularizer/SumSum'conv2d_17/kernel/Regularizer/Square:y:0+conv2d_17/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_17/kernel/Regularizer/Sum� "conv2d_17/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_17/kernel/Regularizer/mul/x� conv2d_17/kernel/Regularizer/mulMul+conv2d_17/kernel/Regularizer/mul/x:output:0)conv2d_17/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_17/kernel/Regularizer/mulg IdentityIdentity$conv2d_17/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13858 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11708 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*R _output_shapes@ >:������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*A _input_shapes0 .:������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:Z V 2 _output_shapes :������������ _user_specified_nameinputs � c G__inference_leaky_re_lu_1_layer_call_and_return_conditional_losses_5074 inputs identityn LeakyRelu LeakyReluinputs*1 _output_shapes :�����������@* alpha%���=2 LeakyReluu IdentityIdentityLeakyRelu:activations:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*0 _input_shapes :�����������@:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11726 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*R _output_shapes@ >:������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3s IdentityIdentityFusedBatchNormV3:y:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*A _input_shapes0 .:������������:::::Z V 2 _output_shapes :������������ _user_specified_nameinputs � � C__inference_conv2d_7_layer_call_and_return_conditional_losses_12437 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������LL�* paddingSAME* strides 2 Conv2D� 1conv2d_7/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_7/kernel/Regularizer/Square/ReadVariableOp� "conv2d_7/kernel/Regularizer/SquareSquare9conv2d_7/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_7/kernel/Regularizer/Square� !conv2d_7/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_7/kernel/Regularizer/Const� conv2d_7/kernel/Regularizer/SumSum&conv2d_7/kernel/Regularizer/Square:y:0*conv2d_7/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/Sum� !conv2d_7/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_7/kernel/Regularizer/mul/x� conv2d_7/kernel/Regularizer/mulMul*conv2d_7/kernel/Regularizer/mul/x:output:0(conv2d_7/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������LL�::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_6128 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_3688 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11544 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:�����������@:@:@:@:@:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*@ _input_shapes/ -:�����������@::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � C__inference_conv2d_22_layer_call_and_return_conditional_losses_7361 inputs" conv2d_readvariableop_resource# biasadd_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� BiasAdd/ReadVariableOpReadVariableOpbiasadd_readvariableop_resource* _output_shapes :�* dtype02 BiasAdd/ReadVariableOp� BiasAddBiasAddConv2D:output:0BiasAdd/ReadVariableOp:value:0* T0*0 _output_shapes :����������2 BiasAdd� 2conv2d_22/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_22/kernel/Regularizer/Square/ReadVariableOp� #conv2d_22/kernel/Regularizer/SquareSquare:conv2d_22/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_22/kernel/Regularizer/Square� "conv2d_22/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_22/kernel/Regularizer/Const� conv2d_22/kernel/Regularizer/SumSum'conv2d_22/kernel/Regularizer/Square:y:0+conv2d_22/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_22/kernel/Regularizer/Sum� "conv2d_22/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_22/kernel/Regularizer/mul/x� conv2d_22/kernel/Regularizer/mulMul+conv2d_22/kernel/Regularizer/mul/x:output:0)conv2d_22/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_22/kernel/Regularizer/mulm IdentityIdentityBiasAdd:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*7 _input_shapes& $:����������:::X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12300 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � e I__inference_leaky_re_lu_12_layer_call_and_return_conditional_losses_13397 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������&&�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � n __inference_loss_fn_7_15030> :conv2d_7_kernel_regularizer_square_readvariableop_resource identity�� 1conv2d_7/kernel/Regularizer/Square/ReadVariableOpReadVariableOp:conv2d_7_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_7/kernel/Regularizer/Square/ReadVariableOp� "conv2d_7/kernel/Regularizer/SquareSquare9conv2d_7/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_7/kernel/Regularizer/Square� !conv2d_7/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_7/kernel/Regularizer/Const� conv2d_7/kernel/Regularizer/SumSum&conv2d_7/kernel/Regularizer/Square:y:0*conv2d_7/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/Sum� !conv2d_7/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_7/kernel/Regularizer/mul/x� conv2d_7/kernel/Regularizer/mulMul*conv2d_7/kernel/Regularizer/mul/x:output:0(conv2d_7/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/mulf IdentityIdentity#conv2d_7/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13448 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13466 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � J .__inference_leaky_re_lu_16_layer_call_fn_14058 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_16_layer_call_and_return_conditional_losses_67432 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11498 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+���������������������������@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@:::::i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � 5__inference_batch_normalization_7_layer_call_fn_12508 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_33642 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � o )__inference_conv2d_14_layer_call_fn_13592 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_14_layer_call_and_return_conditional_losses_64312 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13840 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs �$ � ,__inference_functional_1_layer_call_fn_11270 inputs unknown unknown_0 unknown_1 unknown_2 unknown_3 unknown_4 unknown_5 unknown_6 unknown_7 unknown_8 unknown_9 unknown_10 unknown_11 unknown_12 unknown_13 unknown_14 unknown_15 unknown_16 unknown_17 unknown_18 unknown_19 unknown_20 unknown_21 unknown_22 unknown_23 unknown_24 unknown_25 unknown_26 unknown_27 unknown_28 unknown_29 unknown_30 unknown_31 unknown_32 unknown_33 unknown_34 unknown_35 unknown_36 unknown_37 unknown_38 unknown_39 unknown_40 unknown_41 unknown_42 unknown_43 unknown_44 unknown_45 unknown_46 unknown_47 unknown_48 unknown_49 unknown_50 unknown_51 unknown_52 unknown_53 unknown_54 unknown_55 unknown_56 unknown_57 unknown_58 unknown_59 unknown_60 unknown_61 unknown_62 unknown_63 unknown_64 unknown_65 unknown_66 unknown_67 unknown_68 unknown_69 unknown_70 unknown_71 unknown_72 unknown_73 unknown_74 unknown_75 unknown_76 unknown_77 unknown_78 unknown_79 unknown_80 unknown_81 unknown_82 unknown_83 unknown_84 unknown_85 unknown_86 unknown_87 unknown_88 unknown_89 unknown_90 unknown_91 unknown_92 unknown_93 unknown_94 unknown_95 unknown_96 unknown_97 unknown_98 unknown_99 unknown_100 unknown_101 unknown_102 unknown_103 unknown_104 unknown_105 unknown_106 unknown_107 unknown_108 unknown_109 unknown_110 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2 unknown_3 unknown_4 unknown_5 unknown_6 unknown_7 unknown_8 unknown_9 unknown_10 unknown_11 unknown_12 unknown_13 unknown_14 unknown_15 unknown_16 unknown_17 unknown_18 unknown_19 unknown_20 unknown_21 unknown_22 unknown_23 unknown_24 unknown_25 unknown_26 unknown_27 unknown_28 unknown_29 unknown_30 unknown_31 unknown_32 unknown_33 unknown_34 unknown_35 unknown_36 unknown_37 unknown_38 unknown_39 unknown_40 unknown_41 unknown_42 unknown_43 unknown_44 unknown_45 unknown_46 unknown_47 unknown_48 unknown_49 unknown_50 unknown_51 unknown_52 unknown_53 unknown_54 unknown_55 unknown_56 unknown_57 unknown_58 unknown_59 unknown_60 unknown_61 unknown_62 unknown_63 unknown_64 unknown_65 unknown_66 unknown_67 unknown_68 unknown_69 unknown_70 unknown_71 unknown_72 unknown_73 unknown_74 unknown_75 unknown_76 unknown_77 unknown_78 unknown_79 unknown_80 unknown_81 unknown_82 unknown_83 unknown_84 unknown_85 unknown_86 unknown_87 unknown_88 unknown_89 unknown_90 unknown_91 unknown_92 unknown_93 unknown_94 unknown_95 unknown_96 unknown_97 unknown_98 unknown_99unknown_100unknown_101unknown_102unknown_103unknown_104unknown_105unknown_106unknown_107unknown_108unknown_109unknown_110*| Tinu s2q* Tout 2* _collective_manager_ids *0 _output_shapes :����������*� _read_only_resource_inputst rp !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnop*- config_proto CPU GPU 2J 8� *O fJRH F__inference_functional_1_layer_call_and_return_conditional_losses_90682 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*� _input_shapes� �:�����������::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::22 StatefulPartitionedCallStatefulPartitionedCall:Y U 1 _output_shapes :����������� _user_specified_nameinputs � � P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12692 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � J .__inference_leaky_re_lu_13_layer_call_fn_13566 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_13_layer_call_and_return_conditional_losses_64102 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_11972 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*R _output_shapes@ >:������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*A _input_shapes0 .:������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:Z V 2 _output_shapes :������������ _user_specified_nameinputs � J .__inference_max_pooling2d_3_layer_call_fn_3387 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *J _output_shapes8 6:4������������������������������������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *R fMRK I__inference_max_pooling2d_3_layer_call_and_return_conditional_losses_33812 PartitionedCall� IdentityIdentityPartitionedCall:output:0* T0*J _output_shapes8 6:4������������������������������������2 Identity" identityIdentity:output:0*I _input_shapes8 6:4������������������������������������:r n J _output_shapes8 6:4������������������������������������ _user_specified_nameinputs � � 6__inference_batch_normalization_16_layer_call_fn_13971 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_16_layer_call_and_return_conditional_losses_42932 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_18_layer_call_and_return_conditional_losses_4532 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_19_layer_call_and_return_conditional_losses_4740 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14122 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14332 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12856 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � I -__inference_leaky_re_lu_2_layer_call_fn_11762 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_2_layer_call_and_return_conditional_losses_51862 PartitionedCallw IdentityIdentityPartitionedCall:output:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*1 _input_shapes :������������:Z V 2 _output_shapes :������������ _user_specified_nameinputs � � 3__inference_batch_normalization_layer_call_fn_11360 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *A _output_shapes/ -:+��������������������������� *& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *V fQRO M__inference_batch_normalization_layer_call_and_return_conditional_losses_26002 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*A _output_shapes/ -:+��������������������������� 2 Identity" identityIdentity:output:0*P _input_shapes? =:+��������������������������� ::::22 StatefulPartitionedCallStatefulPartitionedCall:i e A _output_shapes/ -:+��������������������������� _user_specified_nameinputs � � Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14286 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11872 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:�����������@:@:@:@:@:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*@ _input_shapes/ -:�����������@::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11480 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+���������������������������@:@:@:@:@:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � 6__inference_batch_normalization_12_layer_call_fn_13392 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_62572 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � J .__inference_leaky_re_lu_21_layer_call_fn_14911 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_21_layer_call_and_return_conditional_losses_73372 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 5__inference_batch_normalization_5_layer_call_fn_12180 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_5_layer_call_and_return_conditional_losses_31562 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � G +__inference_leaky_re_lu_layer_call_fn_11434 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :����������� * _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *N fIRG E__inference_leaky_re_lu_layer_call_and_return_conditional_losses_49622 PartitionedCallv IdentityIdentityPartitionedCall:output:0* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*0 _input_shapes :����������� :Y U 1 _output_shapes :����������� _user_specified_nameinputs � e I__inference_leaky_re_lu_20_layer_call_and_return_conditional_losses_14571 inputs identityl LeakyRelu LeakyReluinputs*/ _output_shapes :���������&&@* alpha%���=2 LeakyRelus IdentityIdentityLeakyRelu:activations:0* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*. _input_shapes :���������&&@:W S / _output_shapes :���������&&@ _user_specified_nameinputs � o )__inference_conv2d_13_layer_call_fn_13428 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_13_layer_call_and_return_conditional_losses_63202 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 5__inference_batch_normalization_1_layer_call_fn_11524 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *A _output_shapes/ -:+���������������������������@*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_1_layer_call_and_return_conditional_losses_27162 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@::::22 StatefulPartitionedCallStatefulPartitionedCall:i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � 5__inference_batch_normalization_9_layer_call_fn_12887 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_59062 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_15_layer_call_and_return_conditional_losses_4189 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_21_layer_call_fn_14888 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_48132 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 5__inference_batch_normalization_5_layer_call_fn_12167 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_5_layer_call_and_return_conditional_losses_31252 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11644 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14811 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � o )__inference_conv2d_16_layer_call_fn_13920 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_16_layer_call_and_return_conditional_losses_66532 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � d H__inference_leaky_re_lu_10_layer_call_and_return_conditional_losses_6076 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������&&�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � n __inference_loss_fn_8_15041> :conv2d_8_kernel_regularizer_square_readvariableop_resource identity�� 1conv2d_8/kernel/Regularizer/Square/ReadVariableOpReadVariableOp:conv2d_8_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_8/kernel/Regularizer/Square/ReadVariableOp� "conv2d_8/kernel/Regularizer/SquareSquare9conv2d_8/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_8/kernel/Regularizer/Square� !conv2d_8/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_8/kernel/Regularizer/Const� conv2d_8/kernel/Regularizer/SumSum&conv2d_8/kernel/Regularizer/Square:y:0*conv2d_8/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/Sum� !conv2d_8/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_8/kernel/Regularizer/mul/x� conv2d_8/kernel/Regularizer/mulMul*conv2d_8/kernel/Regularizer/mul/x:output:0(conv2d_8/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/mulf IdentityIdentity#conv2d_8/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � P__inference_batch_normalization_20_layer_call_and_return_conditional_losses_4636 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+���������������������������@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@:::::i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � d H__inference_leaky_re_lu_9_layer_call_and_return_conditional_losses_12905 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������&&�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13794 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_16_layer_call_and_return_conditional_losses_4324 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_12956 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_12_layer_call_fn_13328 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_38962 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � O__inference_batch_normalization_2_layer_call_and_return_conditional_losses_5145 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*R _output_shapes@ >:������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3s IdentityIdentityFusedBatchNormV3:y:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*A _input_shapes0 .:������������:::::Z V 2 _output_shapes :������������ _user_specified_nameinputs � c G__inference_max_pooling2d_layer_call_and_return_conditional_losses_2617 inputs identity� MaxPoolMaxPoolinputs*J _output_shapes8 6:4������������������������������������* ksize * paddingSAME* strides 2 MaxPool� IdentityIdentityMaxPool:output:0* T0*J _output_shapes8 6:4������������������������������������2 Identity" identityIdentity:output:0*I _input_shapes8 6:4������������������������������������:r n J _output_shapes8 6:4������������������������������������ _user_specified_nameinputs � o )__inference_conv2d_18_layer_call_fn_14248 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_18_layer_call_and_return_conditional_losses_68752 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_19_layer_call_fn_14691 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_19_layer_call_and_return_conditional_losses_71152 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � B__inference_conv2d_2_layer_call_and_return_conditional_losses_5096 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :@�* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*2 _output_shapes :������������* paddingSAME* strides 2 Conv2D� 1conv2d_2/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :@�* dtype023 1conv2d_2/kernel/Regularizer/Square/ReadVariableOp� "conv2d_2/kernel/Regularizer/SquareSquare9conv2d_2/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_2/kernel/Regularizer/Square� !conv2d_2/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_2/kernel/Regularizer/Const� conv2d_2/kernel/Regularizer/SumSum&conv2d_2/kernel/Regularizer/Square:y:0*conv2d_2/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/Sum� !conv2d_2/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_2/kernel/Regularizer/mul/x� conv2d_2/kernel/Regularizer/mulMul*conv2d_2/kernel/Regularizer/mul/x:output:0(conv2d_2/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/muln IdentityIdentityConv2D:output:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*4 _input_shapes# !:�����������@::Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � B__inference_conv2d_4_layer_call_and_return_conditional_losses_5318 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :@�* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*2 _output_shapes :������������* paddingSAME* strides 2 Conv2D� 1conv2d_4/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :@�* dtype023 1conv2d_4/kernel/Regularizer/Square/ReadVariableOp� "conv2d_4/kernel/Regularizer/SquareSquare9conv2d_4/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_4/kernel/Regularizer/Square� !conv2d_4/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_4/kernel/Regularizer/Const� conv2d_4/kernel/Regularizer/SumSum&conv2d_4/kernel/Regularizer/Square:y:0*conv2d_4/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/Sum� !conv2d_4/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_4/kernel/Regularizer/mul/x� conv2d_4/kernel/Regularizer/mulMul*conv2d_4/kernel/Regularizer/mul/x:output:0(conv2d_4/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/muln IdentityIdentityConv2D:output:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*4 _input_shapes# !:�����������@::Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � C__inference_conv2d_8_layer_call_and_return_conditional_losses_12601 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������&&�* paddingSAME* strides 2 Conv2D� 1conv2d_8/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_8/kernel/Regularizer/Square/ReadVariableOp� "conv2d_8/kernel/Regularizer/SquareSquare9conv2d_8/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_8/kernel/Regularizer/Square� !conv2d_8/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_8/kernel/Regularizer/Const� conv2d_8/kernel/Regularizer/SumSum&conv2d_8/kernel/Regularizer/Square:y:0*conv2d_8/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/Sum� !conv2d_8/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_8/kernel/Regularizer/mul/x� conv2d_8/kernel/Regularizer/mulMul*conv2d_8/kernel/Regularizer/mul/x:output:0(conv2d_8/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � 5__inference_batch_normalization_7_layer_call_fn_12559 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_56832 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � c G__inference_leaky_re_lu_3_layer_call_and_return_conditional_losses_5297 inputs identityn LeakyRelu LeakyReluinputs*1 _output_shapes :�����������@* alpha%���=2 LeakyReluu IdentityIdentityLeakyRelu:activations:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*0 _input_shapes :�����������@:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � O__inference_batch_normalization_1_layer_call_and_return_conditional_losses_5033 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:�����������@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3r IdentityIdentityFusedBatchNormV3:y:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*@ _input_shapes/ -:�����������@:::::Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_3896 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � C__inference_conv2d_5_layer_call_and_return_conditional_losses_12109 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������LL�* paddingSAME* strides 2 Conv2D� 1conv2d_5/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_5/kernel/Regularizer/Square/ReadVariableOp� "conv2d_5/kernel/Regularizer/SquareSquare9conv2d_5/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_5/kernel/Regularizer/Square� !conv2d_5/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_5/kernel/Regularizer/Const� conv2d_5/kernel/Regularizer/SumSum&conv2d_5/kernel/Regularizer/Square:y:0*conv2d_5/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/Sum� !conv2d_5/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_5/kernel/Regularizer/mul/x� conv2d_5/kernel/Regularizer/mulMul*conv2d_5/kernel/Regularizer/mul/x:output:0(conv2d_5/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������LL�::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � 6__inference_batch_normalization_17_layer_call_fn_14199 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_43972 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � a E__inference_leaky_re_lu_layer_call_and_return_conditional_losses_4962 inputs identityn LeakyRelu LeakyReluinputs*1 _output_shapes :����������� * alpha%���=2 LeakyReluu IdentityIdentityLeakyRelu:activations:0* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*0 _input_shapes :����������� :Y U 1 _output_shapes :����������� _user_specified_nameinputs � n (__inference_conv2d_2_layer_call_fn_11624 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_2_layer_call_and_return_conditional_losses_50962 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*4 _input_shapes# !:�����������@:22 StatefulPartitionedCallStatefulPartitionedCall:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs �� �) F__inference_functional_1_layer_call_and_return_conditional_losses_9068 inputs conv2d_8631 batch_normalization_8634 batch_normalization_8636 batch_normalization_8638 batch_normalization_8640 conv2d_1_8645 batch_normalization_1_8648 batch_normalization_1_8650 batch_normalization_1_8652 batch_normalization_1_8654 conv2d_2_8659 batch_normalization_2_8662 batch_normalization_2_8664 batch_normalization_2_8666 batch_normalization_2_8668 conv2d_3_8672 batch_normalization_3_8675 batch_normalization_3_8677 batch_normalization_3_8679 batch_normalization_3_8681 conv2d_4_8685 batch_normalization_4_8688 batch_normalization_4_8690 batch_normalization_4_8692 batch_normalization_4_8694 conv2d_5_8699 batch_normalization_5_8702 batch_normalization_5_8704 batch_normalization_5_8706 batch_normalization_5_8708 conv2d_6_8712 batch_normalization_6_8715 batch_normalization_6_8717 batch_normalization_6_8719 batch_normalization_6_8721 conv2d_7_8725 batch_normalization_7_8728 batch_normalization_7_8730 batch_normalization_7_8732 batch_normalization_7_8734 conv2d_8_8739 batch_normalization_8_8742 batch_normalization_8_8744 batch_normalization_8_8746 batch_normalization_8_8748 conv2d_9_8752 batch_normalization_9_8755 batch_normalization_9_8757 batch_normalization_9_8759 batch_normalization_9_8761 conv2d_10_8765 batch_normalization_10_8768 batch_normalization_10_8770 batch_normalization_10_8772 batch_normalization_10_8774 conv2d_11_8778 batch_normalization_11_8781 batch_normalization_11_8783 batch_normalization_11_8785 batch_normalization_11_8787 conv2d_12_8791 batch_normalization_12_8794 batch_normalization_12_8796 batch_normalization_12_8798 batch_normalization_12_8800 conv2d_13_8805 batch_normalization_13_8808 batch_normalization_13_8810 batch_normalization_13_8812 batch_normalization_13_8814 conv2d_14_8818 batch_normalization_14_8821 batch_normalization_14_8823 batch_normalization_14_8825 batch_normalization_14_8827 conv2d_15_8831 batch_normalization_15_8834 batch_normalization_15_8836 batch_normalization_15_8838 batch_normalization_15_8840 conv2d_16_8844 batch_normalization_16_8847 batch_normalization_16_8849 batch_normalization_16_8851 batch_normalization_16_8853 conv2d_17_8857 batch_normalization_17_8860 batch_normalization_17_8862 batch_normalization_17_8864 batch_normalization_17_8866 conv2d_18_8870 batch_normalization_18_8873 batch_normalization_18_8875 batch_normalization_18_8877 batch_normalization_18_8879 conv2d_20_8883 conv2d_19_8886 batch_normalization_20_8889 batch_normalization_20_8891 batch_normalization_20_8893 batch_normalization_20_8895 batch_normalization_19_8898 batch_normalization_19_8900 batch_normalization_19_8902 batch_normalization_19_8904 conv2d_21_8911 batch_normalization_21_8914 batch_normalization_21_8916 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.batch_normalization_15/StatefulPartitionedCallStatefulPartitionedCall*conv2d_15/StatefulPartitionedCall:output:0batch_normalization_15_8834batch_normalization_15_8836batch_normalization_15_8838batch_normalization_15_8840* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_15_layer_call_and_return_conditional_losses_659120 .batch_normalization_15/StatefulPartitionedCall� leaky_re_lu_15/PartitionedCallPartitionedCall7batch_normalization_15/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_15_layer_call_and_return_conditional_losses_66322 leaky_re_lu_15/PartitionedCall� !conv2d_16/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_15/PartitionedCall:output:0conv2d_16_8844* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_16_layer_call_and_return_conditional_losses_66532# !conv2d_16/StatefulPartitionedCall� .batch_normalization_16/StatefulPartitionedCallStatefulPartitionedCall*conv2d_16/StatefulPartitionedCall:output:0batch_normalization_16_8847batch_normalization_16_8849batch_normalization_16_8851batch_normalization_16_8853* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_16_layer_call_and_return_conditional_losses_670220 .batch_normalization_16/StatefulPartitionedCall� leaky_re_lu_16/PartitionedCallPartitionedCall7batch_normalization_16/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_16_layer_call_and_return_conditional_losses_67432 leaky_re_lu_16/PartitionedCall� !conv2d_17/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_16/PartitionedCall:output:0conv2d_17_8857* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_17_layer_call_and_return_conditional_losses_67642# !conv2d_17/StatefulPartitionedCall� .batch_normalization_17/StatefulPartitionedCallStatefulPartitionedCall*conv2d_17/StatefulPartitionedCall:output:0batch_normalization_17_8860batch_normalization_17_8862batch_normalization_17_8864batch_normalization_17_8866* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_681320 .batch_normalization_17/StatefulPartitionedCall� 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_read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_18_layer_call_and_return_conditional_losses_692420 .batch_normalization_18/StatefulPartitionedCall� leaky_re_lu_18/PartitionedCallPartitionedCall7batch_normalization_18/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_18_layer_call_and_return_conditional_losses_69652 leaky_re_lu_18/PartitionedCall� !conv2d_20/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_12/PartitionedCall:output:0conv2d_20_8883* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_20_layer_call_and_return_conditional_losses_69862# !conv2d_20/StatefulPartitionedCall� !conv2d_19/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_18/PartitionedCall:output:0conv2d_19_8886* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_19_layer_call_and_return_conditional_losses_70112# !conv2d_19/StatefulPartitionedCall� .batch_normalization_20/StatefulPartitionedCallStatefulPartitionedCall*conv2d_20/StatefulPartitionedCall:output:0batch_normalization_20_8889batch_normalization_20_8891batch_normalization_20_8893batch_normalization_20_8895* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_20_layer_call_and_return_conditional_losses_706020 .batch_normalization_20/StatefulPartitionedCall� .batch_normalization_19/StatefulPartitionedCallStatefulPartitionedCall*conv2d_19/StatefulPartitionedCall:output:0batch_normalization_19_8898batch_normalization_19_8900batch_normalization_19_8902batch_normalization_19_8904* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_19_layer_call_and_return_conditional_losses_713320 .batch_normalization_19/StatefulPartitionedCall� leaky_re_lu_20/PartitionedCallPartitionedCall7batch_normalization_20/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids */ _output_shapes :���������&&@* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_20_layer_call_and_return_conditional_losses_71742 leaky_re_lu_20/PartitionedCall� !space_to_depth_x2/PartitionedCallPartitionedCall'leaky_re_lu_20/PartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *T fORM K__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_71922# !space_to_depth_x2/PartitionedCall� leaky_re_lu_19/PartitionedCallPartitionedCall7batch_normalization_19/StatefulPartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_19_layer_call_and_return_conditional_losses_72102 leaky_re_lu_19/PartitionedCall� concatenate/PartitionedCallPartitionedCall*space_to_depth_x2/PartitionedCall:output:0'leaky_re_lu_19/PartitionedCall:output:0* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������� * _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *N fIRG E__inference_concatenate_layer_call_and_return_conditional_losses_72252 concatenate/PartitionedCall� !conv2d_21/StatefulPartitionedCallStatefulPartitionedCall$concatenate/PartitionedCall:output:0conv2d_21_8911* 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H__inference_leaky_re_lu_21_layer_call_and_return_conditional_losses_73372 leaky_re_lu_21/PartitionedCall� !conv2d_22/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_21/PartitionedCall:output:0conv2d_22_8924conv2d_22_8926* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_22_layer_call_and_return_conditional_losses_73612# !conv2d_22/StatefulPartitionedCall� /conv2d/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_8631*& _output_shapes : * dtype021 /conv2d/kernel/Regularizer/Square/ReadVariableOp� conv2d/kernel/Regularizer/SquareSquare7conv2d/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : 2" conv2d/kernel/Regularizer/Square� conv2d/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2! conv2d/kernel/Regularizer/Const� conv2d/kernel/Regularizer/SumSum$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/Sum� conv2d/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2! conv2d/kernel/Regularizer/mul/x� conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/mul� 1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_1_8645*& _output_shapes : @* dtype023 1conv2d_1/kernel/Regularizer/Square/ReadVariableOp� "conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : @2$ "conv2d_1/kernel/Regularizer/Square� !conv2d_1/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_1/kernel/Regularizer/Const� conv2d_1/kernel/Regularizer/SumSum&conv2d_1/kernel/Regularizer/Square:y:0*conv2d_1/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/Sum� !conv2d_1/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_1/kernel/Regularizer/mul/x� conv2d_1/kernel/Regularizer/mulMul*conv2d_1/kernel/Regularizer/mul/x:output:0(conv2d_1/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/mul� 1conv2d_2/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_2_8659*' _output_shapes :@�* dtype023 1conv2d_2/kernel/Regularizer/Square/ReadVariableOp� "conv2d_2/kernel/Regularizer/SquareSquare9conv2d_2/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_2/kernel/Regularizer/Square� !conv2d_2/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_2/kernel/Regularizer/Const� conv2d_2/kernel/Regularizer/SumSum&conv2d_2/kernel/Regularizer/Square:y:0*conv2d_2/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/Sum� !conv2d_2/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_2/kernel/Regularizer/mul/x� conv2d_2/kernel/Regularizer/mulMul*conv2d_2/kernel/Regularizer/mul/x:output:0(conv2d_2/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/mul� 1conv2d_3/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_3_8672*' _output_shapes :�@* dtype023 1conv2d_3/kernel/Regularizer/Square/ReadVariableOp� "conv2d_3/kernel/Regularizer/SquareSquare9conv2d_3/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2$ "conv2d_3/kernel/Regularizer/Square� !conv2d_3/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_3/kernel/Regularizer/Const� conv2d_3/kernel/Regularizer/SumSum&conv2d_3/kernel/Regularizer/Square:y:0*conv2d_3/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/Sum� !conv2d_3/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_3/kernel/Regularizer/mul/x� conv2d_3/kernel/Regularizer/mulMul*conv2d_3/kernel/Regularizer/mul/x:output:0(conv2d_3/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/mul� 1conv2d_4/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_4_8685*' _output_shapes :@�* dtype023 1conv2d_4/kernel/Regularizer/Square/ReadVariableOp� "conv2d_4/kernel/Regularizer/SquareSquare9conv2d_4/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_4/kernel/Regularizer/Square� !conv2d_4/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_4/kernel/Regularizer/Const� conv2d_4/kernel/Regularizer/SumSum&conv2d_4/kernel/Regularizer/Square:y:0*conv2d_4/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/Sum� !conv2d_4/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_4/kernel/Regularizer/mul/x� conv2d_4/kernel/Regularizer/mulMul*conv2d_4/kernel/Regularizer/mul/x:output:0(conv2d_4/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/mul� 1conv2d_5/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_5_8699*( _output_shapes :��* dtype023 1conv2d_5/kernel/Regularizer/Square/ReadVariableOp� "conv2d_5/kernel/Regularizer/SquareSquare9conv2d_5/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_5/kernel/Regularizer/Square� !conv2d_5/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_5/kernel/Regularizer/Const� conv2d_5/kernel/Regularizer/SumSum&conv2d_5/kernel/Regularizer/Square:y:0*conv2d_5/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/Sum� !conv2d_5/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_5/kernel/Regularizer/mul/x� conv2d_5/kernel/Regularizer/mulMul*conv2d_5/kernel/Regularizer/mul/x:output:0(conv2d_5/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/mul� 1conv2d_6/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_6_8712*( _output_shapes :��* dtype023 1conv2d_6/kernel/Regularizer/Square/ReadVariableOp� "conv2d_6/kernel/Regularizer/SquareSquare9conv2d_6/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_6/kernel/Regularizer/Square� !conv2d_6/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_6/kernel/Regularizer/Const� conv2d_6/kernel/Regularizer/SumSum&conv2d_6/kernel/Regularizer/Square:y:0*conv2d_6/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/Sum� !conv2d_6/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_6/kernel/Regularizer/mul/x� conv2d_6/kernel/Regularizer/mulMul*conv2d_6/kernel/Regularizer/mul/x:output:0(conv2d_6/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/mul� 1conv2d_7/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_7_8725*( _output_shapes :��* dtype023 1conv2d_7/kernel/Regularizer/Square/ReadVariableOp� "conv2d_7/kernel/Regularizer/SquareSquare9conv2d_7/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_7/kernel/Regularizer/Square� !conv2d_7/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_7/kernel/Regularizer/Const� conv2d_7/kernel/Regularizer/SumSum&conv2d_7/kernel/Regularizer/Square:y:0*conv2d_7/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/Sum� !conv2d_7/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_7/kernel/Regularizer/mul/x� conv2d_7/kernel/Regularizer/mulMul*conv2d_7/kernel/Regularizer/mul/x:output:0(conv2d_7/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/mul� 1conv2d_8/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_8_8739*( _output_shapes :��* dtype023 1conv2d_8/kernel/Regularizer/Square/ReadVariableOp� "conv2d_8/kernel/Regularizer/SquareSquare9conv2d_8/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_8/kernel/Regularizer/Square� !conv2d_8/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_8/kernel/Regularizer/Const� conv2d_8/kernel/Regularizer/SumSum&conv2d_8/kernel/Regularizer/Square:y:0*conv2d_8/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/Sum� !conv2d_8/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_8/kernel/Regularizer/mul/x� conv2d_8/kernel/Regularizer/mulMul*conv2d_8/kernel/Regularizer/mul/x:output:0(conv2d_8/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/mul� 1conv2d_9/kernel/Regularizer/Square/ReadVariableOpReadVariableOp conv2d_9_8752*( _output_shapes :��* dtype023 1conv2d_9/kernel/Regularizer/Square/ReadVariableOp� "conv2d_9/kernel/Regularizer/SquareSquare9conv2d_9/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_9/kernel/Regularizer/Square� !conv2d_9/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_9/kernel/Regularizer/Const� conv2d_9/kernel/Regularizer/SumSum&conv2d_9/kernel/Regularizer/Square:y:0*conv2d_9/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/Sum� !conv2d_9/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_9/kernel/Regularizer/mul/x� conv2d_9/kernel/Regularizer/mulMul*conv2d_9/kernel/Regularizer/mul/x:output:0(conv2d_9/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_9/kernel/Regularizer/mul� 2conv2d_10/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_10_8765*( _output_shapes :��* dtype024 2conv2d_10/kernel/Regularizer/Square/ReadVariableOp� #conv2d_10/kernel/Regularizer/SquareSquare:conv2d_10/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_10/kernel/Regularizer/Square� "conv2d_10/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_10/kernel/Regularizer/Const� 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conv2d_9/StatefulPartitionedCall conv2d_9/StatefulPartitionedCall:Y U 1 _output_shapes :����������� _user_specified_nameinputs � � 5__inference_batch_normalization_6_layer_call_fn_12344 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_6_layer_call_and_return_conditional_losses_55902 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13612 inputs 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FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � O__inference_batch_normalization_4_layer_call_and_return_conditional_losses_5349 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*R _output_shapes@ >:������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*A _input_shapes0 .:������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:Z V 2 _output_shapes :������������ _user_specified_nameinputs � � 5__inference_batch_normalization_3_layer_call_fn_11903 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_3_layer_call_and_return_conditional_losses_52382 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*@ _input_shapes/ -:�����������@::::22 StatefulPartitionedCallStatefulPartitionedCall:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_14004 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14432 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*K _output_shapes9 7:���������&&@:@:@:@:@:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*> _input_shapes- +:���������&&@::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:W S / _output_shapes :���������&&@ _user_specified_nameinputs � � O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_5683 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������LL� _user_specified_nameinputs �# � ,__inference_functional_1_layer_call_fn_11041 inputs unknown unknown_0 unknown_1 unknown_2 unknown_3 unknown_4 unknown_5 unknown_6 unknown_7 unknown_8 unknown_9 unknown_10 unknown_11 unknown_12 unknown_13 unknown_14 unknown_15 unknown_16 unknown_17 unknown_18 unknown_19 unknown_20 unknown_21 unknown_22 unknown_23 unknown_24 unknown_25 unknown_26 unknown_27 unknown_28 unknown_29 unknown_30 unknown_31 unknown_32 unknown_33 unknown_34 unknown_35 unknown_36 unknown_37 unknown_38 unknown_39 unknown_40 unknown_41 unknown_42 unknown_43 unknown_44 unknown_45 unknown_46 unknown_47 unknown_48 unknown_49 unknown_50 unknown_51 unknown_52 unknown_53 unknown_54 unknown_55 unknown_56 unknown_57 unknown_58 unknown_59 unknown_60 unknown_61 unknown_62 unknown_63 unknown_64 unknown_65 unknown_66 unknown_67 unknown_68 unknown_69 unknown_70 unknown_71 unknown_72 unknown_73 unknown_74 unknown_75 unknown_76 unknown_77 unknown_78 unknown_79 unknown_80 unknown_81 unknown_82 unknown_83 unknown_84 unknown_85 unknown_86 unknown_87 unknown_88 unknown_89 unknown_90 unknown_91 unknown_92 unknown_93 unknown_94 unknown_95 unknown_96 unknown_97 unknown_98 unknown_99 unknown_100 unknown_101 unknown_102 unknown_103 unknown_104 unknown_105 unknown_106 unknown_107 unknown_108 unknown_109 unknown_110 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2 unknown_3 unknown_4 unknown_5 unknown_6 unknown_7 unknown_8 unknown_9 unknown_10 unknown_11 unknown_12 unknown_13 unknown_14 unknown_15 unknown_16 unknown_17 unknown_18 unknown_19 unknown_20 unknown_21 unknown_22 unknown_23 unknown_24 unknown_25 unknown_26 unknown_27 unknown_28 unknown_29 unknown_30 unknown_31 unknown_32 unknown_33 unknown_34 unknown_35 unknown_36 unknown_37 unknown_38 unknown_39 unknown_40 unknown_41 unknown_42 unknown_43 unknown_44 unknown_45 unknown_46 unknown_47 unknown_48 unknown_49 unknown_50 unknown_51 unknown_52 unknown_53 unknown_54 unknown_55 unknown_56 unknown_57 unknown_58 unknown_59 unknown_60 unknown_61 unknown_62 unknown_63 unknown_64 unknown_65 unknown_66 unknown_67 unknown_68 unknown_69 unknown_70 unknown_71 unknown_72 unknown_73 unknown_74 unknown_75 unknown_76 unknown_77 unknown_78 unknown_79 unknown_80 unknown_81 unknown_82 unknown_83 unknown_84 unknown_85 unknown_86 unknown_87 unknown_88 unknown_89 unknown_90 unknown_91 unknown_92 unknown_93 unknown_94 unknown_95 unknown_96 unknown_97 unknown_98 unknown_99unknown_100unknown_101unknown_102unknown_103unknown_104unknown_105unknown_106unknown_107unknown_108unknown_109unknown_110*| Tinu s2q* Tout 2* _collective_manager_ids *0 _output_shapes :����������*f _read_only_resource_inputsH FD !$%&)*+./034589:=>?BCDGHILMNQRSVWX[\]`abcfgjklop*- config_proto CPU GPU 2J 8� *O fJRH F__inference_functional_1_layer_call_and_return_conditional_losses_83992 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*� _input_shapes� �:�����������::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::22 StatefulPartitionedCallStatefulPartitionedCall:Y U 1 _output_shapes :����������� _user_specified_nameinputs � � N__inference_batch_normalization_layer_call_and_return_conditional_losses_11316 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes : * dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes : * dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes : * dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes : * dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+��������������������������� : : : : :* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*A _output_shapes/ -:+��������������������������� 2 Identity" identityIdentity:output:0*P _input_shapes? =:+��������������������������� ::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:i e A _output_shapes/ -:+��������������������������� _user_specified_nameinputs � � O__inference_batch_normalization_3_layer_call_and_return_conditional_losses_2936 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+���������������������������@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@:::::i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_6035 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�:::::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � n (__inference_conv2d_8_layer_call_fn_12608 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_8_layer_call_and_return_conditional_losses_57642 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � 5__inference_batch_normalization_9_layer_call_fn_12836 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_35842 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_16_layer_call_fn_14048 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_16_layer_call_and_return_conditional_losses_67022 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_18_layer_call_and_return_conditional_losses_4501 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14350 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � d H__inference_leaky_re_lu_7_layer_call_and_return_conditional_losses_12577 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������LL�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*/ _input_shapes :���������LL�:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � d H__inference_leaky_re_lu_8_layer_call_and_return_conditional_losses_12741 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������&&�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � 6__inference_batch_normalization_17_layer_call_fn_14148 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_68132 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � C__inference_conv2d_18_layer_call_and_return_conditional_losses_6875 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_18/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_18/kernel/Regularizer/Square/ReadVariableOp� #conv2d_18/kernel/Regularizer/SquareSquare:conv2d_18/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_18/kernel/Regularizer/Square� "conv2d_18/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_18/kernel/Regularizer/Const� conv2d_18/kernel/Regularizer/SumSum'conv2d_18/kernel/Regularizer/Square:y:0+conv2d_18/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_18/kernel/Regularizer/Sum� "conv2d_18/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_18/kernel/Regularizer/mul/x� conv2d_18/kernel/Regularizer/mulMul+conv2d_18/kernel/Regularizer/mul/x:output:0)conv2d_18/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_18/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � O__inference_batch_normalization_2_layer_call_and_return_conditional_losses_2832 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � p __inference_loss_fn_20_15173? ;conv2d_19_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_19/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_19_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_19/kernel/Regularizer/Square/ReadVariableOp� #conv2d_19/kernel/Regularizer/SquareSquare:conv2d_19/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_19/kernel/Regularizer/Square� "conv2d_19/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_19/kernel/Regularizer/Const� conv2d_19/kernel/Regularizer/SumSum'conv2d_19/kernel/Regularizer/Square:y:0+conv2d_19/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_19/kernel/Regularizer/Sum� "conv2d_19/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_19/kernel/Regularizer/mul/x� conv2d_19/kernel/Regularizer/mulMul+conv2d_19/kernel/Regularizer/mul/x:output:0)conv2d_19/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_19/kernel/Regularizer/mulg IdentityIdentity$conv2d_19/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � D__inference_conv2d_22_layer_call_and_return_conditional_losses_14933 inputs" conv2d_readvariableop_resource# biasadd_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� BiasAdd/ReadVariableOpReadVariableOpbiasadd_readvariableop_resource* _output_shapes :�* dtype02 BiasAdd/ReadVariableOp� BiasAddBiasAddConv2D:output:0BiasAdd/ReadVariableOp:value:0* T0*0 _output_shapes :����������2 BiasAdd� 2conv2d_22/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_22/kernel/Regularizer/Square/ReadVariableOp� #conv2d_22/kernel/Regularizer/SquareSquare:conv2d_22/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_22/kernel/Regularizer/Square� "conv2d_22/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_22/kernel/Regularizer/Const� conv2d_22/kernel/Regularizer/SumSum'conv2d_22/kernel/Regularizer/Square:y:0+conv2d_22/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_22/kernel/Regularizer/Sum� "conv2d_22/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_22/kernel/Regularizer/mul/x� conv2d_22/kernel/Regularizer/mulMul+conv2d_22/kernel/Regularizer/mul/x:output:0)conv2d_22/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_22/kernel/Regularizer/mulm IdentityIdentityBiasAdd:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*7 _input_shapes& $:����������:::X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_6239 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � p __inference_loss_fn_15_15118? ;conv2d_15_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_15/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_15_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_15/kernel/Regularizer/Square/ReadVariableOp� #conv2d_15/kernel/Regularizer/SquareSquare:conv2d_15/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_15/kernel/Regularizer/Square� "conv2d_15/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_15/kernel/Regularizer/Const� conv2d_15/kernel/Regularizer/SumSum'conv2d_15/kernel/Regularizer/Square:y:0+conv2d_15/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_15/kernel/Regularizer/Sum� "conv2d_15/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_15/kernel/Regularizer/mul/x� conv2d_15/kernel/Regularizer/mulMul+conv2d_15/kernel/Regularizer/mul/x:output:0)conv2d_15/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_15/kernel/Regularizer/mulg IdentityIdentity$conv2d_15/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13302 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 5__inference_batch_normalization_6_layer_call_fn_12408 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_6_layer_call_and_return_conditional_losses_32602 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � O__inference_batch_normalization_6_layer_call_and_return_conditional_losses_5572 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � 5__inference_batch_normalization_4_layer_call_fn_12080 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_4_layer_call_and_return_conditional_losses_30402 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � e I__inference_leaky_re_lu_14_layer_call_and_return_conditional_losses_13725 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � O__inference_batch_normalization_1_layer_call_and_return_conditional_losses_2716 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+���������������������������@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@:::::i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � 6__inference_batch_normalization_15_layer_call_fn_13820 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_15_layer_call_and_return_conditional_losses_42202 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_19_layer_call_and_return_conditional_losses_7133 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � 5__inference_batch_normalization_4_layer_call_fn_12067 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_4_layer_call_and_return_conditional_losses_30092 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 5__inference_batch_normalization_5_layer_call_fn_12244 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_5_layer_call_and_return_conditional_losses_54792 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13284 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � g K__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_7192 inputs identity� SpaceToDepthSpaceToDepthinputs* T0*0 _output_shapes :����������* block_size2 SpaceToDepthr IdentityIdentitySpaceToDepth:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*. _input_shapes :���������&&@:W S / _output_shapes :���������&&@ _user_specified_nameinputs � � P__inference_batch_normalization_20_layer_call_and_return_conditional_losses_7042 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*K _output_shapes9 7:���������&&@:@:@:@:@:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*> _input_shapes- +:���������&&@::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:W S / _output_shapes :���������&&@ _user_specified_nameinputs � I -__inference_leaky_re_lu_9_layer_call_fn_12910 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_9_layer_call_and_return_conditional_losses_59652 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � D__inference_conv2d_16_layer_call_and_return_conditional_losses_13913 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_16/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_16/kernel/Regularizer/Square/ReadVariableOp� #conv2d_16/kernel/Regularizer/SquareSquare:conv2d_16/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_16/kernel/Regularizer/Square� "conv2d_16/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_16/kernel/Regularizer/Const� conv2d_16/kernel/Regularizer/SumSum'conv2d_16/kernel/Regularizer/Square:y:0+conv2d_16/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_16/kernel/Regularizer/Sum� "conv2d_16/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_16/kernel/Regularizer/mul/x� conv2d_16/kernel/Regularizer/mulMul+conv2d_16/kernel/Regularizer/mul/x:output:0)conv2d_16/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_16/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14596 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � I -__inference_leaky_re_lu_7_layer_call_fn_12582 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_7_layer_call_and_return_conditional_losses_57422 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*/ _input_shapes :���������LL�:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_6257 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�:::::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � n (__inference_conv2d_9_layer_call_fn_12772 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_9_layer_call_and_return_conditional_losses_58752 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � W +__inference_concatenate_layer_call_fn_14747 inputs_0 inputs_1 identity� PartitionedCallPartitionedCallinputs_0inputs_1* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������� * _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *N fIRG E__inference_concatenate_layer_call_and_return_conditional_losses_72252 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :���������� 2 Identity" identityIdentity:output:0*K _input_shapes: 8:����������:����������:Z V 0 _output_shapes :���������� " _user_specified_name inputs/0:ZV 0 _output_shapes :���������� " _user_specified_name inputs/1 � d H__inference_leaky_re_lu_17_layer_call_and_return_conditional_losses_6854 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_20_layer_call_fn_14540 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *A _output_shapes/ -:+���������������������������@*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_20_layer_call_and_return_conditional_losses_46362 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@::::22 StatefulPartitionedCallStatefulPartitionedCall:i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � e I__inference_max_pooling2d_2_layer_call_and_return_conditional_losses_3057 inputs identity� MaxPoolMaxPoolinputs*J _output_shapes8 6:4������������������������������������* ksize * paddingSAME* strides 2 MaxPool� IdentityIdentityMaxPool:output:0* T0*J _output_shapes8 6:4������������������������������������2 Identity" identityIdentity:output:0*I _input_shapes8 6:4������������������������������������:r n J _output_shapes8 6:4������������������������������������ _user_specified_nameinputs � d H__inference_leaky_re_lu_14_layer_call_and_return_conditional_losses_6521 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � O__inference_batch_normalization_1_layer_call_and_return_conditional_losses_2685 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+���������������������������@:@:@:@:@:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � O__inference_batch_normalization_5_layer_call_and_return_conditional_losses_3125 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12136 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_14022 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � D__inference_conv2d_17_layer_call_and_return_conditional_losses_14077 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_17/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_17/kernel/Regularizer/Square/ReadVariableOp� #conv2d_17/kernel/Regularizer/SquareSquare:conv2d_17/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_17/kernel/Regularizer/Square� "conv2d_17/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_17/kernel/Regularizer/Const� conv2d_17/kernel/Regularizer/SumSum'conv2d_17/kernel/Regularizer/Square:y:0+conv2d_17/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_17/kernel/Regularizer/Sum� "conv2d_17/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_17/kernel/Regularizer/mul/x� conv2d_17/kernel/Regularizer/mulMul+conv2d_17/kernel/Regularizer/mul/x:output:0)conv2d_17/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_17/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � 5__inference_batch_normalization_5_layer_call_fn_12231 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_5_layer_call_and_return_conditional_losses_54612 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � M 1__inference_space_to_depth_x2_layer_call_fn_14724 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *T fORM K__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_71922 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*. _input_shapes :���������&&@:W S / _output_shapes :���������&&@ _user_specified_nameinputs � � Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14614 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � e I__inference_max_pooling2d_1_layer_call_and_return_conditional_losses_2733 inputs identity� MaxPoolMaxPoolinputs*J _output_shapes8 6:4������������������������������������* ksize * paddingSAME* strides 2 MaxPool� IdentityIdentityMaxPool:output:0* T0*J _output_shapes8 6:4������������������������������������2 Identity" identityIdentity:output:0*I _input_shapes8 6:4������������������������������������:r n J _output_shapes8 6:4������������������������������������ _user_specified_nameinputs � � 3__inference_batch_normalization_layer_call_fn_11347 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *A _output_shapes/ -:+��������������������������� *$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *V fQRO M__inference_batch_normalization_layer_call_and_return_conditional_losses_25692 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*A _output_shapes/ -:+��������������������������� 2 Identity" identityIdentity:output:0*P _input_shapes? =:+��������������������������� ::::22 StatefulPartitionedCallStatefulPartitionedCall:i e A _output_shapes/ -:+��������������������������� _user_specified_nameinputs � � 5__inference_batch_normalization_8_layer_call_fn_12736 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_8_layer_call_and_return_conditional_losses_34802 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � D__inference_conv2d_21_layer_call_and_return_conditional_losses_14766 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :� �* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_21/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :� �* dtype024 2conv2d_21/kernel/Regularizer/Square/ReadVariableOp� #conv2d_21/kernel/Regularizer/SquareSquare:conv2d_21/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :� �2% #conv2d_21/kernel/Regularizer/Square� "conv2d_21/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_21/kernel/Regularizer/Const� conv2d_21/kernel/Regularizer/SumSum'conv2d_21/kernel/Regularizer/Square:y:0+conv2d_21/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_21/kernel/Regularizer/Sum� "conv2d_21/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_21/kernel/Regularizer/mul/x� conv2d_21/kernel/Regularizer/mulMul+conv2d_21/kernel/Regularizer/mul/x:output:0)conv2d_21/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_21/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :���������� ::X T 0 _output_shapes :���������� _user_specified_nameinputs � J .__inference_leaky_re_lu_18_layer_call_fn_14412 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_18_layer_call_and_return_conditional_losses_69652 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_17_layer_call_fn_14135 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_67952 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 5__inference_batch_normalization_3_layer_call_fn_11852 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *A _output_shapes/ -:+���������������������������@*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_3_layer_call_and_return_conditional_losses_29362 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@::::22 StatefulPartitionedCallStatefulPartitionedCall:i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11662 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_16_layer_call_and_return_conditional_losses_6702 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � C__inference_conv2d_16_layer_call_and_return_conditional_losses_6653 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_16/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_16/kernel/Regularizer/Square/ReadVariableOp� #conv2d_16/kernel/Regularizer/SquareSquare:conv2d_16/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_16/kernel/Regularizer/Square� "conv2d_16/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_16/kernel/Regularizer/Const� conv2d_16/kernel/Regularizer/SumSum'conv2d_16/kernel/Regularizer/Square:y:0+conv2d_16/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_16/kernel/Regularizer/Sum� "conv2d_16/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_16/kernel/Regularizer/mul/x� conv2d_16/kernel/Regularizer/mulMul+conv2d_16/kernel/Regularizer/mul/x:output:0)conv2d_16/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_16/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � 5__inference_batch_normalization_9_layer_call_fn_12823 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_35532 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � O__inference_batch_normalization_3_layer_call_and_return_conditional_losses_5238 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:�����������@:@:@:@:@:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*@ _input_shapes/ -:�����������@::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � 5__inference_batch_normalization_1_layer_call_fn_11575 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_1_layer_call_and_return_conditional_losses_50152 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*@ _input_shapes/ -:�����������@::::22 StatefulPartitionedCallStatefulPartitionedCall:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_13038 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�:::::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11562 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:�����������@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3r IdentityIdentityFusedBatchNormV3:y:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*@ _input_shapes/ -:�����������@:::::Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � n __inference_loss_fn_4_14997> :conv2d_4_kernel_regularizer_square_readvariableop_resource identity�� 1conv2d_4/kernel/Regularizer/Square/ReadVariableOpReadVariableOp:conv2d_4_kernel_regularizer_square_readvariableop_resource*' _output_shapes :@�* dtype023 1conv2d_4/kernel/Regularizer/Square/ReadVariableOp� "conv2d_4/kernel/Regularizer/SquareSquare9conv2d_4/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_4/kernel/Regularizer/Square� !conv2d_4/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_4/kernel/Regularizer/Const� conv2d_4/kernel/Regularizer/SumSum&conv2d_4/kernel/Regularizer/Square:y:0*conv2d_4/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/Sum� !conv2d_4/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_4/kernel/Regularizer/mul/x� conv2d_4/kernel/Regularizer/mulMul*conv2d_4/kernel/Regularizer/mul/x:output:0(conv2d_4/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/mulf IdentityIdentity#conv2d_4/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � 6__inference_batch_normalization_14_layer_call_fn_13656 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_41162 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � J .__inference_leaky_re_lu_11_layer_call_fn_13238 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_11_layer_call_and_return_conditional_losses_61872 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � 6__inference_batch_normalization_19_layer_call_fn_14640 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_19_layer_call_and_return_conditional_losses_47402 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � n __inference_loss_fn_1_14964> :conv2d_1_kernel_regularizer_square_readvariableop_resource identity�� 1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp:conv2d_1_kernel_regularizer_square_readvariableop_resource*& _output_shapes : @* dtype023 1conv2d_1/kernel/Regularizer/Square/ReadVariableOp� "conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : @2$ "conv2d_1/kernel/Regularizer/Square� !conv2d_1/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_1/kernel/Regularizer/Const� conv2d_1/kernel/Regularizer/SumSum&conv2d_1/kernel/Regularizer/Square:y:0*conv2d_1/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/Sum� !conv2d_1/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_1/kernel/Regularizer/mul/x� conv2d_1/kernel/Regularizer/mulMul*conv2d_1/kernel/Regularizer/mul/x:output:0(conv2d_1/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/mulf IdentityIdentity#conv2d_1/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � n (__inference_conv2d_5_layer_call_fn_12116 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_5_layer_call_and_return_conditional_losses_54302 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������LL�:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � d H__inference_leaky_re_lu_18_layer_call_and_return_conditional_losses_6965 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_12_layer_call_fn_13315 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_38652 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_14_layer_call_fn_13720 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_64802 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � C__inference_conv2d_14_layer_call_and_return_conditional_losses_6431 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_14/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_14/kernel/Regularizer/Square/ReadVariableOp� #conv2d_14/kernel/Regularizer/SquareSquare:conv2d_14/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_14/kernel/Regularizer/Square� "conv2d_14/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_14/kernel/Regularizer/Const� conv2d_14/kernel/Regularizer/SumSum'conv2d_14/kernel/Regularizer/Square:y:0+conv2d_14/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_14/kernel/Regularizer/Sum� "conv2d_14/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_14/kernel/Regularizer/mul/x� conv2d_14/kernel/Regularizer/mulMul+conv2d_14/kernel/Regularizer/mul/x:output:0)conv2d_14/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_14/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_13020 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12546 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�:::::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_5924 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�:::::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12154 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � p __inference_loss_fn_11_15074? ;conv2d_11_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_11/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_11_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_11/kernel/Regularizer/Square/ReadVariableOp� #conv2d_11/kernel/Regularizer/SquareSquare:conv2d_11/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_11/kernel/Regularizer/Square� "conv2d_11/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_11/kernel/Regularizer/Const� conv2d_11/kernel/Regularizer/SumSum'conv2d_11/kernel/Regularizer/Square:y:0+conv2d_11/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/Sum� "conv2d_11/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_11/kernel/Regularizer/mul/x� conv2d_11/kernel/Regularizer/mulMul+conv2d_11/kernel/Regularizer/mul/x:output:0)conv2d_11/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/mulg IdentityIdentity$conv2d_11/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13676 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 5__inference_batch_normalization_4_layer_call_fn_12003 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_4_layer_call_and_return_conditional_losses_53492 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*A _input_shapes0 .:������������::::22 StatefulPartitionedCallStatefulPartitionedCall:Z V 2 _output_shapes :������������ _user_specified_nameinputs � � P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12200 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � n __inference_loss_fn_5_15008> :conv2d_5_kernel_regularizer_square_readvariableop_resource identity�� 1conv2d_5/kernel/Regularizer/Square/ReadVariableOpReadVariableOp:conv2d_5_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_5/kernel/Regularizer/Square/ReadVariableOp� "conv2d_5/kernel/Regularizer/SquareSquare9conv2d_5/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_5/kernel/Regularizer/Square� !conv2d_5/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_5/kernel/Regularizer/Const� 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8batch_normalization_16/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_16_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02: 8batch_normalization_16/FusedBatchNormV3/ReadVariableOp_1� 'batch_normalization_16/FusedBatchNormV3FusedBatchNormV3conv2d_16/Conv2D:output:0-batch_normalization_16/ReadVariableOp:value:0/batch_normalization_16/ReadVariableOp_1:value:0>batch_normalization_16/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_16/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2) 'batch_normalization_16/FusedBatchNormV3� leaky_re_lu_16/LeakyRelu LeakyRelu+batch_normalization_16/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2 leaky_re_lu_16/LeakyRelu� conv2d_17/Conv2D/ReadVariableOpReadVariableOp(conv2d_17_conv2d_readvariableop_resource*( _output_shapes :��* dtype02! conv2d_17/Conv2D/ReadVariableOp� conv2d_17/Conv2DConv2D&leaky_re_lu_16/LeakyRelu:activations:0'conv2d_17/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 conv2d_17/Conv2D� %batch_normalization_17/ReadVariableOpReadVariableOp.batch_normalization_17_readvariableop_resource* _output_shapes :�* dtype02' %batch_normalization_17/ReadVariableOp� 'batch_normalization_17/ReadVariableOp_1ReadVariableOp0batch_normalization_17_readvariableop_1_resource* _output_shapes :�* dtype02) 'batch_normalization_17/ReadVariableOp_1� 6batch_normalization_17/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_17_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype028 6batch_normalization_17/FusedBatchNormV3/ReadVariableOp� 8batch_normalization_17/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_17_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02: 8batch_normalization_17/FusedBatchNormV3/ReadVariableOp_1� 'batch_normalization_17/FusedBatchNormV3FusedBatchNormV3conv2d_17/Conv2D:output:0-batch_normalization_17/ReadVariableOp:value:0/batch_normalization_17/ReadVariableOp_1:value:0>batch_normalization_17/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_17/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2) 'batch_normalization_17/FusedBatchNormV3� leaky_re_lu_17/LeakyRelu LeakyRelu+batch_normalization_17/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2 leaky_re_lu_17/LeakyRelu� conv2d_18/Conv2D/ReadVariableOpReadVariableOp(conv2d_18_conv2d_readvariableop_resource*( _output_shapes :��* dtype02! conv2d_18/Conv2D/ReadVariableOp� conv2d_18/Conv2DConv2D&leaky_re_lu_17/LeakyRelu:activations:0'conv2d_18/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 conv2d_18/Conv2D� %batch_normalization_18/ReadVariableOpReadVariableOp.batch_normalization_18_readvariableop_resource* _output_shapes :�* dtype02' %batch_normalization_18/ReadVariableOp� 'batch_normalization_18/ReadVariableOp_1ReadVariableOp0batch_normalization_18_readvariableop_1_resource* _output_shapes :�* dtype02) 'batch_normalization_18/ReadVariableOp_1� 6batch_normalization_18/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_18_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype028 6batch_normalization_18/FusedBatchNormV3/ReadVariableOp� 8batch_normalization_18/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_18_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02: 8batch_normalization_18/FusedBatchNormV3/ReadVariableOp_1� 'batch_normalization_18/FusedBatchNormV3FusedBatchNormV3conv2d_18/Conv2D:output:0-batch_normalization_18/ReadVariableOp:value:0/batch_normalization_18/ReadVariableOp_1:value:0>batch_normalization_18/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_18/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2) 'batch_normalization_18/FusedBatchNormV3� leaky_re_lu_18/LeakyRelu LeakyRelu+batch_normalization_18/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2 leaky_re_lu_18/LeakyRelu� conv2d_20/Conv2D/ReadVariableOpReadVariableOp(conv2d_20_conv2d_readvariableop_resource*' _output_shapes :�@* dtype02! conv2d_20/Conv2D/ReadVariableOp� conv2d_20/Conv2DConv2D&leaky_re_lu_12/LeakyRelu:activations:0'conv2d_20/Conv2D/ReadVariableOp:value:0* T0*/ _output_shapes :���������&&@* paddingSAME* strides 2 conv2d_20/Conv2D� conv2d_19/Conv2D/ReadVariableOpReadVariableOp(conv2d_19_conv2d_readvariableop_resource*( _output_shapes :��* dtype02! conv2d_19/Conv2D/ReadVariableOp� conv2d_19/Conv2DConv2D&leaky_re_lu_18/LeakyRelu:activations:0'conv2d_19/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 conv2d_19/Conv2D� %batch_normalization_20/ReadVariableOpReadVariableOp.batch_normalization_20_readvariableop_resource* _output_shapes :@* dtype02' %batch_normalization_20/ReadVariableOp� 'batch_normalization_20/ReadVariableOp_1ReadVariableOp0batch_normalization_20_readvariableop_1_resource* _output_shapes :@* dtype02) 'batch_normalization_20/ReadVariableOp_1� 6batch_normalization_20/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_20_fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype028 6batch_normalization_20/FusedBatchNormV3/ReadVariableOp� 8batch_normalization_20/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_20_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02: 8batch_normalization_20/FusedBatchNormV3/ReadVariableOp_1� 'batch_normalization_20/FusedBatchNormV3FusedBatchNormV3conv2d_20/Conv2D:output:0-batch_normalization_20/ReadVariableOp:value:0/batch_normalization_20/ReadVariableOp_1:value:0>batch_normalization_20/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_20/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*K _output_shapes9 7:���������&&@:@:@:@:@:* epsilon%o�:* is_training( 2) 'batch_normalization_20/FusedBatchNormV3� %batch_normalization_19/ReadVariableOpReadVariableOp.batch_normalization_19_readvariableop_resource* _output_shapes :�* dtype02' %batch_normalization_19/ReadVariableOp� 'batch_normalization_19/ReadVariableOp_1ReadVariableOp0batch_normalization_19_readvariableop_1_resource* _output_shapes :�* dtype02) 'batch_normalization_19/ReadVariableOp_1� 6batch_normalization_19/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_19_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype028 6batch_normalization_19/FusedBatchNormV3/ReadVariableOp� 8batch_normalization_19/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_19_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02: 8batch_normalization_19/FusedBatchNormV3/ReadVariableOp_1� 'batch_normalization_19/FusedBatchNormV3FusedBatchNormV3conv2d_19/Conv2D:output:0-batch_normalization_19/ReadVariableOp:value:0/batch_normalization_19/ReadVariableOp_1:value:0>batch_normalization_19/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_19/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2) 'batch_normalization_19/FusedBatchNormV3� leaky_re_lu_20/LeakyRelu LeakyRelu+batch_normalization_20/FusedBatchNormV3:y:0*/ _output_shapes :���������&&@* alpha%���=2 leaky_re_lu_20/LeakyRelu� space_to_depth_x2/SpaceToDepthSpaceToDepth&leaky_re_lu_20/LeakyRelu:activations:0* T0*0 _output_shapes :����������* block_size2 space_to_depth_x2/SpaceToDepth� leaky_re_lu_19/LeakyRelu LeakyRelu+batch_normalization_19/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2 leaky_re_lu_19/LeakyRelut concatenate/concat/axisConst* _output_shapes : * dtype0* value B :2 concatenate/concat/axis� concatenate/concatConcatV2'space_to_depth_x2/SpaceToDepth:output:0&leaky_re_lu_19/LeakyRelu:activations:0 concatenate/concat/axis:output:0* N* T0*0 _output_shapes :���������� 2 concatenate/concat� conv2d_21/Conv2D/ReadVariableOpReadVariableOp(conv2d_21_conv2d_readvariableop_resource*( _output_shapes :� �* dtype02! conv2d_21/Conv2D/ReadVariableOp� conv2d_21/Conv2DConv2Dconcatenate/concat:output:0'conv2d_21/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 conv2d_21/Conv2D� %batch_normalization_21/ReadVariableOpReadVariableOp.batch_normalization_21_readvariableop_resource* _output_shapes :�* dtype02' %batch_normalization_21/ReadVariableOp� 'batch_normalization_21/ReadVariableOp_1ReadVariableOp0batch_normalization_21_readvariableop_1_resource* _output_shapes :�* dtype02) 'batch_normalization_21/ReadVariableOp_1� 6batch_normalization_21/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_21_fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype028 6batch_normalization_21/FusedBatchNormV3/ReadVariableOp� 8batch_normalization_21/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_21_fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02: 8batch_normalization_21/FusedBatchNormV3/ReadVariableOp_1� 'batch_normalization_21/FusedBatchNormV3FusedBatchNormV3conv2d_21/Conv2D:output:0-batch_normalization_21/ReadVariableOp:value:0/batch_normalization_21/ReadVariableOp_1:value:0>batch_normalization_21/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_21/FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2) 'batch_normalization_21/FusedBatchNormV3� leaky_re_lu_21/LeakyRelu LeakyRelu+batch_normalization_21/FusedBatchNormV3:y:0*0 _output_shapes :����������* alpha%���=2 leaky_re_lu_21/LeakyRelu� conv2d_22/Conv2D/ReadVariableOpReadVariableOp(conv2d_22_conv2d_readvariableop_resource*( _output_shapes :��* dtype02! conv2d_22/Conv2D/ReadVariableOp� conv2d_22/Conv2DConv2D&leaky_re_lu_21/LeakyRelu:activations:0'conv2d_22/Conv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 conv2d_22/Conv2D� conv2d_22/BiasAdd/ReadVariableOpReadVariableOp)conv2d_22_biasadd_readvariableop_resource* _output_shapes :�* dtype02" conv2d_22/BiasAdd/ReadVariableOp� conv2d_22/BiasAddBiasAddconv2d_22/Conv2D:output:0(conv2d_22/BiasAdd/ReadVariableOp:value:0* T0*0 _output_shapes :����������2 conv2d_22/BiasAdd� /conv2d/kernel/Regularizer/Square/ReadVariableOpReadVariableOp%conv2d_conv2d_readvariableop_resource*& _output_shapes : * dtype021 /conv2d/kernel/Regularizer/Square/ReadVariableOp� conv2d/kernel/Regularizer/SquareSquare7conv2d/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : 2" conv2d/kernel/Regularizer/Square� conv2d/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2! conv2d/kernel/Regularizer/Const� conv2d/kernel/Regularizer/SumSum$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/Sum� conv2d/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2! conv2d/kernel/Regularizer/mul/x� conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/mul� 1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_1_conv2d_readvariableop_resource*& _output_shapes : @* dtype023 1conv2d_1/kernel/Regularizer/Square/ReadVariableOp� "conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : @2$ "conv2d_1/kernel/Regularizer/Square� !conv2d_1/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_1/kernel/Regularizer/Const� conv2d_1/kernel/Regularizer/SumSum&conv2d_1/kernel/Regularizer/Square:y:0*conv2d_1/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/Sum� !conv2d_1/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_1/kernel/Regularizer/mul/x� conv2d_1/kernel/Regularizer/mulMul*conv2d_1/kernel/Regularizer/mul/x:output:0(conv2d_1/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_1/kernel/Regularizer/mul� 1conv2d_2/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_2_conv2d_readvariableop_resource*' _output_shapes :@�* dtype023 1conv2d_2/kernel/Regularizer/Square/ReadVariableOp� "conv2d_2/kernel/Regularizer/SquareSquare9conv2d_2/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_2/kernel/Regularizer/Square� !conv2d_2/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_2/kernel/Regularizer/Const� conv2d_2/kernel/Regularizer/SumSum&conv2d_2/kernel/Regularizer/Square:y:0*conv2d_2/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/Sum� !conv2d_2/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_2/kernel/Regularizer/mul/x� conv2d_2/kernel/Regularizer/mulMul*conv2d_2/kernel/Regularizer/mul/x:output:0(conv2d_2/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_2/kernel/Regularizer/mul� 1conv2d_3/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_3_conv2d_readvariableop_resource*' _output_shapes :�@* dtype023 1conv2d_3/kernel/Regularizer/Square/ReadVariableOp� "conv2d_3/kernel/Regularizer/SquareSquare9conv2d_3/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2$ "conv2d_3/kernel/Regularizer/Square� !conv2d_3/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_3/kernel/Regularizer/Const� conv2d_3/kernel/Regularizer/SumSum&conv2d_3/kernel/Regularizer/Square:y:0*conv2d_3/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/Sum� !conv2d_3/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_3/kernel/Regularizer/mul/x� conv2d_3/kernel/Regularizer/mulMul*conv2d_3/kernel/Regularizer/mul/x:output:0(conv2d_3/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/mul� 1conv2d_4/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_4_conv2d_readvariableop_resource*' _output_shapes :@�* dtype023 1conv2d_4/kernel/Regularizer/Square/ReadVariableOp� "conv2d_4/kernel/Regularizer/SquareSquare9conv2d_4/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_4/kernel/Regularizer/Square� !conv2d_4/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_4/kernel/Regularizer/Const� conv2d_4/kernel/Regularizer/SumSum&conv2d_4/kernel/Regularizer/Square:y:0*conv2d_4/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/Sum� !conv2d_4/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_4/kernel/Regularizer/mul/x� conv2d_4/kernel/Regularizer/mulMul*conv2d_4/kernel/Regularizer/mul/x:output:0(conv2d_4/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/mul� 1conv2d_5/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_5_conv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_5/kernel/Regularizer/Square/ReadVariableOp� "conv2d_5/kernel/Regularizer/SquareSquare9conv2d_5/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_5/kernel/Regularizer/Square� !conv2d_5/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_5/kernel/Regularizer/Const� conv2d_5/kernel/Regularizer/SumSum&conv2d_5/kernel/Regularizer/Square:y:0*conv2d_5/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/Sum� !conv2d_5/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_5/kernel/Regularizer/mul/x� conv2d_5/kernel/Regularizer/mulMul*conv2d_5/kernel/Regularizer/mul/x:output:0(conv2d_5/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/mul� 1conv2d_6/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_6_conv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_6/kernel/Regularizer/Square/ReadVariableOp� "conv2d_6/kernel/Regularizer/SquareSquare9conv2d_6/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_6/kernel/Regularizer/Square� !conv2d_6/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_6/kernel/Regularizer/Const� conv2d_6/kernel/Regularizer/SumSum&conv2d_6/kernel/Regularizer/Square:y:0*conv2d_6/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/Sum� !conv2d_6/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_6/kernel/Regularizer/mul/x� conv2d_6/kernel/Regularizer/mulMul*conv2d_6/kernel/Regularizer/mul/x:output:0(conv2d_6/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/mul� 1conv2d_7/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_7_conv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_7/kernel/Regularizer/Square/ReadVariableOp� "conv2d_7/kernel/Regularizer/SquareSquare9conv2d_7/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_7/kernel/Regularizer/Square� !conv2d_7/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_7/kernel/Regularizer/Const� conv2d_7/kernel/Regularizer/SumSum&conv2d_7/kernel/Regularizer/Square:y:0*conv2d_7/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/Sum� !conv2d_7/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_7/kernel/Regularizer/mul/x� conv2d_7/kernel/Regularizer/mulMul*conv2d_7/kernel/Regularizer/mul/x:output:0(conv2d_7/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/mul� 1conv2d_8/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_8_conv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_8/kernel/Regularizer/Square/ReadVariableOp� "conv2d_8/kernel/Regularizer/SquareSquare9conv2d_8/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_8/kernel/Regularizer/Square� !conv2d_8/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_8/kernel/Regularizer/Const� conv2d_8/kernel/Regularizer/SumSum&conv2d_8/kernel/Regularizer/Square:y:0*conv2d_8/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/Sum� !conv2d_8/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_8/kernel/Regularizer/mul/x� conv2d_8/kernel/Regularizer/mulMul*conv2d_8/kernel/Regularizer/mul/x:output:0(conv2d_8/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_8/kernel/Regularizer/mul� 1conv2d_9/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_9_conv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_9/kernel/Regularizer/Square/ReadVariableOp� "conv2d_9/kernel/Regularizer/SquareSquare9conv2d_9/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_9/kernel/Regularizer/Square� !conv2d_9/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_9/kernel/Regularizer/Const� 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conv2d_11/kernel/Regularizer/SumSum'conv2d_11/kernel/Regularizer/Square:y:0+conv2d_11/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/Sum� "conv2d_11/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_11/kernel/Regularizer/mul/x� conv2d_11/kernel/Regularizer/mulMul+conv2d_11/kernel/Regularizer/mul/x:output:0)conv2d_11/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/mul� 2conv2d_12/kernel/Regularizer/Square/ReadVariableOpReadVariableOp(conv2d_12_conv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_12/kernel/Regularizer/Square/ReadVariableOp� #conv2d_12/kernel/Regularizer/SquareSquare:conv2d_12/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_12/kernel/Regularizer/Square� "conv2d_12/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_12/kernel/Regularizer/Const� conv2d_12/kernel/Regularizer/SumSum'conv2d_12/kernel/Regularizer/Square:y:0+conv2d_12/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/Sum� "conv2d_12/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_12/kernel/Regularizer/mul/x� conv2d_12/kernel/Regularizer/mulMul+conv2d_12/kernel/Regularizer/mul/x:output:0)conv2d_12/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/mul� 2conv2d_13/kernel/Regularizer/Square/ReadVariableOpReadVariableOp(conv2d_13_conv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_13/kernel/Regularizer/Square/ReadVariableOp� #conv2d_13/kernel/Regularizer/SquareSquare:conv2d_13/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_13/kernel/Regularizer/Square� "conv2d_13/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_13/kernel/Regularizer/Const� 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FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12318 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�:::::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13120 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � o )__inference_conv2d_17_layer_call_fn_14084 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *L fGRE C__inference_conv2d_17_layer_call_and_return_conditional_losses_67642 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_12_layer_call_fn_13379 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_62392 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_19_layer_call_and_return_conditional_losses_7115 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_21_layer_call_fn_14824 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_72782 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � C__inference_conv2d_20_layer_call_and_return_conditional_losses_6986 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :�@* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*/ _output_shapes :���������&&@* paddingSAME* strides 2 Conv2D� 2conv2d_20/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :�@* dtype024 2conv2d_20/kernel/Regularizer/Square/ReadVariableOp� #conv2d_20/kernel/Regularizer/SquareSquare:conv2d_20/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2% #conv2d_20/kernel/Regularizer/Square� "conv2d_20/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_20/kernel/Regularizer/Const� conv2d_20/kernel/Regularizer/SumSum'conv2d_20/kernel/Regularizer/Square:y:0+conv2d_20/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_20/kernel/Regularizer/Sum� "conv2d_20/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_20/kernel/Regularizer/mul/x� conv2d_20/kernel/Regularizer/mulMul+conv2d_20/kernel/Regularizer/mul/x:output:0)conv2d_20/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_20/kernel/Regularizer/mulk IdentityIdentityConv2D:output:0* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � O__inference_batch_normalization_4_layer_call_and_return_conditional_losses_3040 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � B__inference_conv2d_7_layer_call_and_return_conditional_losses_5652 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������LL�* paddingSAME* strides 2 Conv2D� 1conv2d_7/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_7/kernel/Regularizer/Square/ReadVariableOp� "conv2d_7/kernel/Regularizer/SquareSquare9conv2d_7/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_7/kernel/Regularizer/Square� !conv2d_7/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_7/kernel/Regularizer/Const� conv2d_7/kernel/Regularizer/SumSum&conv2d_7/kernel/Regularizer/Square:y:0*conv2d_7/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/Sum� !conv2d_7/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_7/kernel/Regularizer/mul/x� conv2d_7/kernel/Regularizer/mulMul*conv2d_7/kernel/Regularizer/mul/x:output:0(conv2d_7/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_7/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������LL�::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � J .__inference_max_pooling2d_1_layer_call_fn_2739 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *J _output_shapes8 6:4������������������������������������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *R fMRK I__inference_max_pooling2d_1_layer_call_and_return_conditional_losses_27332 PartitionedCall� IdentityIdentityPartitionedCall:output:0* T0*J _output_shapes8 6:4������������������������������������2 Identity" identityIdentity:output:0*I _input_shapes8 6:4������������������������������������:r n J _output_shapes8 6:4������������������������������������ _user_specified_nameinputs � I -__inference_leaky_re_lu_3_layer_call_fn_11926 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *P fKRI G__inference_leaky_re_lu_3_layer_call_and_return_conditional_losses_52972 PartitionedCallv IdentityIdentityPartitionedCall:output:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*0 _input_shapes :�����������@:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � e I__inference_leaky_re_lu_19_layer_call_and_return_conditional_losses_14729 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � O__inference_batch_normalization_8_layer_call_and_return_conditional_losses_3480 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � O__inference_batch_normalization_3_layer_call_and_return_conditional_losses_5256 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:�����������@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3r IdentityIdentityFusedBatchNormV3:y:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*@ _input_shapes/ -:�����������@:::::Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � d H__inference_leaky_re_lu_16_layer_call_and_return_conditional_losses_6743 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � A__inference_conv2d_layer_call_and_return_conditional_losses_11289 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*& _output_shapes : * dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*1 _output_shapes :����������� * paddingSAME* strides 2 Conv2D� /conv2d/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*& _output_shapes : * dtype021 /conv2d/kernel/Regularizer/Square/ReadVariableOp� conv2d/kernel/Regularizer/SquareSquare7conv2d/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*& _output_shapes : 2" conv2d/kernel/Regularizer/Square� conv2d/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2! conv2d/kernel/Regularizer/Const� conv2d/kernel/Regularizer/SumSum$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/Sum� conv2d/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2! conv2d/kernel/Regularizer/mul/x� conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2 conv2d/kernel/Regularizer/mulm IdentityIdentityConv2D:output:0* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*4 _input_shapes# !:�����������::Y U 1 _output_shapes :����������� _user_specified_nameinputs � � P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12218 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�:::::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � 5__inference_batch_normalization_9_layer_call_fn_12900 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_59242 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_6813 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � d H__inference_leaky_re_lu_5_layer_call_and_return_conditional_losses_12249 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������LL�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*/ _input_shapes :���������LL�:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � C__inference_conv2d_6_layer_call_and_return_conditional_losses_12273 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������LL�* paddingSAME* strides 2 Conv2D� 1conv2d_6/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_6/kernel/Regularizer/Square/ReadVariableOp� "conv2d_6/kernel/Regularizer/SquareSquare9conv2d_6/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_6/kernel/Regularizer/Square� !conv2d_6/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_6/kernel/Regularizer/Const� conv2d_6/kernel/Regularizer/SumSum&conv2d_6/kernel/Regularizer/Square:y:0*conv2d_6/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/Sum� !conv2d_6/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_6/kernel/Regularizer/mul/x� conv2d_6/kernel/Regularizer/mulMul*conv2d_6/kernel/Regularizer/mul/x:output:0(conv2d_6/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������LL�::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13694 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � O__inference_batch_normalization_6_layer_call_and_return_conditional_losses_3260 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � n __inference_loss_fn_3_14986> :conv2d_3_kernel_regularizer_square_readvariableop_resource identity�� 1conv2d_3/kernel/Regularizer/Square/ReadVariableOpReadVariableOp:conv2d_3_kernel_regularizer_square_readvariableop_resource*' _output_shapes :�@* dtype023 1conv2d_3/kernel/Regularizer/Square/ReadVariableOp� "conv2d_3/kernel/Regularizer/SquareSquare9conv2d_3/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2$ "conv2d_3/kernel/Regularizer/Square� !conv2d_3/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_3/kernel/Regularizer/Const� conv2d_3/kernel/Regularizer/SumSum&conv2d_3/kernel/Regularizer/Square:y:0*conv2d_3/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/Sum� !conv2d_3/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_3/kernel/Regularizer/mul/x� conv2d_3/kernel/Regularizer/mulMul*conv2d_3/kernel/Regularizer/mul/x:output:0(conv2d_3/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/mulf IdentityIdentity#conv2d_3/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � B__inference_conv2d_6_layer_call_and_return_conditional_losses_5541 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������LL�* paddingSAME* strides 2 Conv2D� 1conv2d_6/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_6/kernel/Regularizer/Square/ReadVariableOp� "conv2d_6/kernel/Regularizer/SquareSquare9conv2d_6/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_6/kernel/Regularizer/Square� !conv2d_6/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_6/kernel/Regularizer/Const� conv2d_6/kernel/Regularizer/SumSum&conv2d_6/kernel/Regularizer/Square:y:0*conv2d_6/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/Sum� !conv2d_6/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_6/kernel/Regularizer/mul/x� conv2d_6/kernel/Regularizer/mulMul*conv2d_6/kernel/Regularizer/mul/x:output:0(conv2d_6/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������LL�::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � P__inference_batch_normalization_19_layer_call_and_return_conditional_losses_4709 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12628 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � p __inference_loss_fn_19_15162? ;conv2d_20_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_20/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_20_kernel_regularizer_square_readvariableop_resource*' _output_shapes :�@* dtype024 2conv2d_20/kernel/Regularizer/Square/ReadVariableOp� #conv2d_20/kernel/Regularizer/SquareSquare:conv2d_20/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2% #conv2d_20/kernel/Regularizer/Square� "conv2d_20/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_20/kernel/Regularizer/Const� conv2d_20/kernel/Regularizer/SumSum'conv2d_20/kernel/Regularizer/Square:y:0+conv2d_20/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_20/kernel/Regularizer/Sum� "conv2d_20/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_20/kernel/Regularizer/mul/x� conv2d_20/kernel/Regularizer/mulMul+conv2d_20/kernel/Regularizer/mul/x:output:0)conv2d_20/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_20/kernel/Regularizer/mulg IdentityIdentity$conv2d_20/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � d H__inference_leaky_re_lu_4_layer_call_and_return_conditional_losses_12085 inputs identityo LeakyRelu LeakyReluinputs*2 _output_shapes :������������* alpha%���=2 LeakyReluv IdentityIdentityLeakyRelu:activations:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*1 _input_shapes :������������:Z V 2 _output_shapes :������������ _user_specified_nameinputs � n (__inference_conv2d_6_layer_call_fn_12280 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_6_layer_call_and_return_conditional_losses_55412 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������LL�:22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13776 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_4428 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_4085 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_18_layer_call_fn_14363 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_18_layer_call_and_return_conditional_losses_69062 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � c G__inference_leaky_re_lu_7_layer_call_and_return_conditional_losses_5742 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������LL�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*/ _input_shapes :���������LL�:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � p __inference_loss_fn_10_15063? ;conv2d_10_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_10/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_10_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_10/kernel/Regularizer/Square/ReadVariableOp� #conv2d_10/kernel/Regularizer/SquareSquare:conv2d_10/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_10/kernel/Regularizer/Square� "conv2d_10/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_10/kernel/Regularizer/Const� conv2d_10/kernel/Regularizer/SumSum'conv2d_10/kernel/Regularizer/Square:y:0+conv2d_10/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/Sum� "conv2d_10/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_10/kernel/Regularizer/mul/x� conv2d_10/kernel/Regularizer/mulMul+conv2d_10/kernel/Regularizer/mul/x:output:0)conv2d_10/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_10/kernel/Regularizer/mulg IdentityIdentity$conv2d_10/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_7278 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � n (__inference_conv2d_3_layer_call_fn_11788 inputs unknown identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :�����������@*# _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *K fFRD B__inference_conv2d_3_layer_call_and_return_conditional_losses_52072 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*5 _input_shapes$ ":������������:22 StatefulPartitionedCallStatefulPartitionedCall:Z V 2 _output_shapes :������������ _user_specified_nameinputs � � P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12464 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14678 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � C__inference_conv2d_3_layer_call_and_return_conditional_losses_11781 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :�@* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*1 _output_shapes :�����������@* paddingSAME* strides 2 Conv2D� 1conv2d_3/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :�@* dtype023 1conv2d_3/kernel/Regularizer/Square/ReadVariableOp� "conv2d_3/kernel/Regularizer/SquareSquare9conv2d_3/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2$ "conv2d_3/kernel/Regularizer/Square� !conv2d_3/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_3/kernel/Regularizer/Const� conv2d_3/kernel/Regularizer/SumSum&conv2d_3/kernel/Regularizer/Square:y:0*conv2d_3/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/Sum� !conv2d_3/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_3/kernel/Regularizer/mul/x� conv2d_3/kernel/Regularizer/mulMul*conv2d_3/kernel/Regularizer/mul/x:output:0(conv2d_3/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/mulm IdentityIdentityConv2D:output:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*5 _input_shapes$ ":������������::Z V 2 _output_shapes :������������ _user_specified_nameinputs � � P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_3865 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � d H__inference_leaky_re_lu_20_layer_call_and_return_conditional_losses_7174 inputs identityl LeakyRelu LeakyReluinputs*/ _output_shapes :���������&&@* alpha%���=2 LeakyRelus IdentityIdentityLeakyRelu:activations:0* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*. _input_shapes :���������&&@:W S / _output_shapes :���������&&@ _user_specified_nameinputs � e I__inference_leaky_re_lu_11_layer_call_and_return_conditional_losses_13233 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������&&�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_12036 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � n __inference_loss_fn_6_15019> :conv2d_6_kernel_regularizer_square_readvariableop_resource identity�� 1conv2d_6/kernel/Regularizer/Square/ReadVariableOpReadVariableOp:conv2d_6_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_6/kernel/Regularizer/Square/ReadVariableOp� "conv2d_6/kernel/Regularizer/SquareSquare9conv2d_6/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_6/kernel/Regularizer/Square� !conv2d_6/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_6/kernel/Regularizer/Const� conv2d_6/kernel/Regularizer/SumSum&conv2d_6/kernel/Regularizer/Square:y:0*conv2d_6/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/Sum� !conv2d_6/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_6/kernel/Regularizer/mul/x� conv2d_6/kernel/Regularizer/mulMul*conv2d_6/kernel/Regularizer/mul/x:output:0(conv2d_6/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_6/kernel/Regularizer/mulf IdentityIdentity#conv2d_6/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � 5__inference_batch_normalization_7_layer_call_fn_12572 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������LL�*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_57012 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � 6__inference_batch_normalization_13_layer_call_fn_13556 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_63692 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � g K__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_7187 inputs identity� SpaceToDepthSpaceToDepthinputs* T0*0 _output_shapes :����������* block_size2 SpaceToDepthr IdentityIdentitySpaceToDepth:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*. _input_shapes :���������&&@:W S / _output_shapes :���������&&@ _user_specified_nameinputs � � O__inference_batch_normalization_4_layer_call_and_return_conditional_losses_3009 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_11_layer_call_fn_13164 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_37922 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 5__inference_batch_normalization_2_layer_call_fn_11739 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_2_layer_call_and_return_conditional_losses_51272 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*A _input_shapes0 .:������������::::22 StatefulPartitionedCallStatefulPartitionedCall:Z V 2 _output_shapes :������������ _user_specified_nameinputs � M 1__inference_space_to_depth_x2_layer_call_fn_14719 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *T fORM K__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_71872 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*. _input_shapes :���������&&@:W S / _output_shapes :���������&&@ _user_specified_nameinputs � � Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13348 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � D__inference_conv2d_20_layer_call_and_return_conditional_losses_14395 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :�@* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*/ _output_shapes :���������&&@* paddingSAME* strides 2 Conv2D� 2conv2d_20/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :�@* dtype024 2conv2d_20/kernel/Regularizer/Square/ReadVariableOp� #conv2d_20/kernel/Regularizer/SquareSquare:conv2d_20/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2% #conv2d_20/kernel/Regularizer/Square� "conv2d_20/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_20/kernel/Regularizer/Const� conv2d_20/kernel/Regularizer/SumSum'conv2d_20/kernel/Regularizer/Square:y:0+conv2d_20/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_20/kernel/Regularizer/Sum� "conv2d_20/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_20/kernel/Regularizer/mul/x� conv2d_20/kernel/Regularizer/mulMul+conv2d_20/kernel/Regularizer/mul/x:output:0)conv2d_20/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_20/kernel/Regularizer/mulk IdentityIdentityConv2D:output:0* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � d H__inference_leaky_re_lu_1_layer_call_and_return_conditional_losses_11593 inputs identityn LeakyRelu LeakyReluinputs*1 _output_shapes :�����������@* alpha%���=2 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*O fJRH F__inference_functional_1_layer_call_and_return_conditional_losses_83992 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*� _input_shapes� �:�����������::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::22 StatefulPartitionedCallStatefulPartitionedCall:Z V 1 _output_shapes :����������� ! _user_specified_name input_1 � � 6__inference_batch_normalization_15_layer_call_fn_13871 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_15_layer_call_and_return_conditional_losses_65732 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � p __inference_loss_fn_22_15195? ;conv2d_22_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_22/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_22_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_22/kernel/Regularizer/Square/ReadVariableOp� #conv2d_22/kernel/Regularizer/SquareSquare:conv2d_22/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_22/kernel/Regularizer/Square� "conv2d_22/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_22/kernel/Regularizer/Const� conv2d_22/kernel/Regularizer/SumSum'conv2d_22/kernel/Regularizer/Square:y:0+conv2d_22/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_22/kernel/Regularizer/Sum� "conv2d_22/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_22/kernel/Regularizer/mul/x� conv2d_22/kernel/Regularizer/mulMul+conv2d_22/kernel/Regularizer/mul/x:output:0)conv2d_22/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_22/kernel/Regularizer/mulg IdentityIdentity$conv2d_22/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � 6__inference_batch_normalization_13_layer_call_fn_13492 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_40122 StatefulPartitionedCall� IdentityIdentity 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FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_20_layer_call_fn_14527 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *A _output_shapes/ -:+���������������������������@*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_20_layer_call_and_return_conditional_losses_46052 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@::::22 StatefulPartitionedCallStatefulPartitionedCall:i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � � 5__inference_batch_normalization_2_layer_call_fn_11752 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *2 _output_shapes :������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *X fSRQ O__inference_batch_normalization_2_layer_call_and_return_conditional_losses_51452 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*A _input_shapes0 .:������������::::22 StatefulPartitionedCallStatefulPartitionedCall:Z V 2 _output_shapes :������������ _user_specified_nameinputs � h L__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_14709 inputs identity� SpaceToDepthSpaceToDepthinputs* T0*0 _output_shapes :����������* block_size2 SpaceToDepthr IdentityIdentitySpaceToDepth:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*. _input_shapes :���������&&@:W S / _output_shapes :���������&&@ _user_specified_nameinputs � � P__inference_batch_normalization_20_layer_call_and_return_conditional_losses_7060 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*K _output_shapes9 7:���������&&@:@:@:@:@:* epsilon%o�:* is_training( 2 FusedBatchNormV3p IdentityIdentityFusedBatchNormV3:y:0* T0*/ _output_shapes :���������&&@2 Identity" identityIdentity:output:0*> _input_shapes- +:���������&&@:::::W S / _output_shapes :���������&&@ _user_specified_nameinputs � o E__inference_concatenate_layer_call_and_return_conditional_losses_7225 inputs inputs_1 identity\ concat/axisConst* _output_shapes : * dtype0* value B :2 concat/axis� concatConcatV2inputsinputs_1concat/axis:output:0* N* T0*0 _output_shapes :���������� 2 concatl IdentityIdentityconcat:output:0* T0*0 _output_shapes :���������� 2 Identity" identityIdentity:output:0*K _input_shapes: 8:����������:����������:X T 0 _output_shapes :���������� _user_specified_nameinputs:XT 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_18_layer_call_and_return_conditional_losses_6924 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������:::::X T 0 _output_shapes :���������� _user_specified_nameinputs � � O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_3364 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � O__inference_batch_normalization_6_layer_call_and_return_conditional_losses_5590 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������LL�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������LL�:::::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � M__inference_batch_normalization_layer_call_and_return_conditional_losses_4903 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes : * dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes : * dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes : * dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes : * dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:����������� : : : : :* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*@ _input_shapes/ -:����������� ::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:Y U 1 _output_shapes :����������� _user_specified_nameinputs � � 3__inference_batch_normalization_layer_call_fn_11411 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *1 _output_shapes :����������� *$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *V fQRO M__inference_batch_normalization_layer_call_and_return_conditional_losses_49032 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*@ _input_shapes/ -:����������� ::::22 StatefulPartitionedCallStatefulPartitionedCall:Y U 1 _output_shapes :����������� _user_specified_nameinputs � p __inference_loss_fn_18_15151? ;conv2d_18_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_18/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_18_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_18/kernel/Regularizer/Square/ReadVariableOp� #conv2d_18/kernel/Regularizer/SquareSquare:conv2d_18/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_18/kernel/Regularizer/Square� "conv2d_18/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_18/kernel/Regularizer/Const� conv2d_18/kernel/Regularizer/SumSum'conv2d_18/kernel/Regularizer/Square:y:0+conv2d_18/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_18/kernel/Regularizer/Sum� "conv2d_18/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_18/kernel/Regularizer/mul/x� conv2d_18/kernel/Regularizer/mulMul+conv2d_18/kernel/Regularizer/mul/x:output:0)conv2d_18/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_18/kernel/Regularizer/mulg IdentityIdentity$conv2d_18/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � 6__inference_batch_normalization_13_layer_call_fn_13543 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_63512 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � d H__inference_leaky_re_lu_2_layer_call_and_return_conditional_losses_11757 inputs identityo LeakyRelu LeakyReluinputs*2 _output_shapes :������������* alpha%���=2 LeakyReluv IdentityIdentityLeakyRelu:activations:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*1 _input_shapes :������������:Z V 2 _output_shapes :������������ _user_specified_nameinputs � � C__inference_conv2d_13_layer_call_and_return_conditional_losses_6320 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :����������* paddingSAME* strides 2 Conv2D� 2conv2d_13/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_13/kernel/Regularizer/Square/ReadVariableOp� #conv2d_13/kernel/Regularizer/SquareSquare:conv2d_13/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_13/kernel/Regularizer/Square� "conv2d_13/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_13/kernel/Regularizer/Const� conv2d_13/kernel/Regularizer/SumSum'conv2d_13/kernel/Regularizer/Square:y:0+conv2d_13/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_13/kernel/Regularizer/Sum� "conv2d_13/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_13/kernel/Regularizer/mul/x� conv2d_13/kernel/Regularizer/mulMul+conv2d_13/kernel/Regularizer/mul/x:output:0)conv2d_13/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_13/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*3 _input_shapes" :����������::X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_6795 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12482 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � p __inference_loss_fn_13_15096? ;conv2d_13_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_13/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_13_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_13/kernel/Regularizer/Square/ReadVariableOp� #conv2d_13/kernel/Regularizer/SquareSquare:conv2d_13/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_13/kernel/Regularizer/Square� "conv2d_13/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_13/kernel/Regularizer/Const� conv2d_13/kernel/Regularizer/SumSum'conv2d_13/kernel/Regularizer/Square:y:0+conv2d_13/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_13/kernel/Regularizer/Sum� "conv2d_13/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_13/kernel/Regularizer/mul/x� conv2d_13/kernel/Regularizer/mulMul+conv2d_13/kernel/Regularizer/mul/x:output:0)conv2d_13/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_13/kernel/Regularizer/mulg IdentityIdentity$conv2d_13/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � e I__inference_max_pooling2d_4_layer_call_and_return_conditional_losses_3913 inputs identity� MaxPoolMaxPoolinputs*J _output_shapes8 6:4������������������������������������* ksize * paddingSAME* strides 2 MaxPool� IdentityIdentityMaxPool:output:0* T0*J _output_shapes8 6:4������������������������������������2 Identity" identityIdentity:output:0*I _input_shapes8 6:4������������������������������������:r n J _output_shapes8 6:4������������������������������������ _user_specified_nameinputs � � O__inference_batch_normalization_6_layer_call_and_return_conditional_losses_3229 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_18_layer_call_fn_14299 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_18_layer_call_and_return_conditional_losses_45012 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � d H__inference_leaky_re_lu_11_layer_call_and_return_conditional_losses_6187 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������&&�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_3553 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � O__inference_batch_normalization_4_layer_call_and_return_conditional_losses_5367 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*R _output_shapes@ >:������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3s IdentityIdentityFusedBatchNormV3:y:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*A _input_shapes0 .:������������:::::Z V 2 _output_shapes :������������ _user_specified_nameinputs � d H__inference_leaky_re_lu_3_layer_call_and_return_conditional_losses_11921 inputs identityn LeakyRelu LeakyReluinputs*1 _output_shapes :�����������@* alpha%���=2 LeakyReluu IdentityIdentityLeakyRelu:activations:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*0 _input_shapes :�����������@:Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_3333 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � N__inference_batch_normalization_layer_call_and_return_conditional_losses_11380 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes : * dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes : * dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes : * dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes : * dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*M _output_shapes; 9:����������� : : : : :* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*1 _output_shapes :����������� 2 Identity" identityIdentity:output:0*@ _input_shapes/ -:����������� ::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:Y U 1 _output_shapes :����������� _user_specified_nameinputs � � 6__inference_batch_normalization_16_layer_call_fn_13984 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_16_layer_call_and_return_conditional_losses_43242 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12874 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�:::::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � N__inference_batch_normalization_layer_call_and_return_conditional_losses_11334 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes : * dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes : * dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes : * dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes : * dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+��������������������������� : : : : :* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*A _output_shapes/ -:+��������������������������� 2 Identity" identityIdentity:output:0*P _input_shapes? =:+��������������������������� :::::i e A _output_shapes/ -:+��������������������������� _user_specified_nameinputs � � O__inference_batch_normalization_5_layer_call_and_return_conditional_losses_3156 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � B__inference_conv2d_3_layer_call_and_return_conditional_losses_5207 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :�@* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*1 _output_shapes :�����������@* paddingSAME* strides 2 Conv2D� 1conv2d_3/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :�@* dtype023 1conv2d_3/kernel/Regularizer/Square/ReadVariableOp� "conv2d_3/kernel/Regularizer/SquareSquare9conv2d_3/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :�@2$ "conv2d_3/kernel/Regularizer/Square� !conv2d_3/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_3/kernel/Regularizer/Const� conv2d_3/kernel/Regularizer/SumSum&conv2d_3/kernel/Regularizer/Square:y:0*conv2d_3/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/Sum� !conv2d_3/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_3/kernel/Regularizer/mul/x� conv2d_3/kernel/Regularizer/mulMul*conv2d_3/kernel/Regularizer/mul/x:output:0(conv2d_3/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_3/kernel/Regularizer/mulm IdentityIdentityConv2D:output:0* T0*1 _output_shapes :�����������@2 Identity" identityIdentity:output:0*5 _input_shapes$ ":������������::Z V 2 _output_shapes :������������ _user_specified_nameinputs � J .__inference_max_pooling2d_4_layer_call_fn_3919 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *J _output_shapes8 6:4������������������������������������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *R fMRK I__inference_max_pooling2d_4_layer_call_and_return_conditional_losses_39132 PartitionedCall� IdentityIdentityPartitionedCall:output:0* T0*J _output_shapes8 6:4������������������������������������2 Identity" identityIdentity:output:0*I _input_shapes8 6:4������������������������������������:r n J _output_shapes8 6:4������������������������������������ _user_specified_nameinputs � e I__inference_leaky_re_lu_15_layer_call_and_return_conditional_losses_13889 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � C__inference_conv2d_11_layer_call_and_return_conditional_losses_6097 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������&&�* paddingSAME* strides 2 Conv2D� 2conv2d_11/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_11/kernel/Regularizer/Square/ReadVariableOp� #conv2d_11/kernel/Regularizer/SquareSquare:conv2d_11/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_11/kernel/Regularizer/Square� "conv2d_11/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_11/kernel/Regularizer/Const� conv2d_11/kernel/Regularizer/SumSum'conv2d_11/kernel/Regularizer/Square:y:0+conv2d_11/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/Sum� "conv2d_11/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_11/kernel/Regularizer/mul/x� conv2d_11/kernel/Regularizer/mulMul+conv2d_11/kernel/Regularizer/mul/x:output:0)conv2d_11/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_11/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������&&�::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_6462 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:����������:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_13_layer_call_fn_13479 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_39812 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � 6__inference_batch_normalization_19_layer_call_fn_14704 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_19_layer_call_and_return_conditional_losses_71332 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � J .__inference_leaky_re_lu_14_layer_call_fn_13730 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_14_layer_call_and_return_conditional_losses_65212 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs � � 6__inference_batch_normalization_21_layer_call_fn_14837 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :����������*& _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_72962 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*? _input_shapes. ,:����������::::22 StatefulPartitionedCallStatefulPartitionedCall:X T 0 _output_shapes :���������� _user_specified_nameinputs � � P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_4116 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � p __inference_loss_fn_14_15107? ;conv2d_14_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_14/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_14_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_14/kernel/Regularizer/Square/ReadVariableOp� #conv2d_14/kernel/Regularizer/SquareSquare:conv2d_14/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_14/kernel/Regularizer/Square� "conv2d_14/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_14/kernel/Regularizer/Const� conv2d_14/kernel/Regularizer/SumSum'conv2d_14/kernel/Regularizer/Square:y:0+conv2d_14/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_14/kernel/Regularizer/Sum� "conv2d_14/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_14/kernel/Regularizer/mul/x� conv2d_14/kernel/Regularizer/mulMul+conv2d_14/kernel/Regularizer/mul/x:output:0)conv2d_14/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_14/kernel/Regularizer/mulg IdentityIdentity$conv2d_14/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_6017 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � J .__inference_leaky_re_lu_10_layer_call_fn_13074 inputs identity� PartitionedCallPartitionedCallinputs* Tin 2* Tout 2* _collective_manager_ids *0 _output_shapes :���������&&�* _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Q fLRJ H__inference_leaky_re_lu_10_layer_call_and_return_conditional_losses_60762 PartitionedCallu IdentityIdentityPartitionedCall:output:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � e I__inference_leaky_re_lu_10_layer_call_and_return_conditional_losses_13069 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :���������&&�* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*/ _input_shapes :���������&&�:X T 0 _output_shapes :���������&&� _user_specified_nameinputs � � C__inference_conv2d_4_layer_call_and_return_conditional_losses_11945 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :@�* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*2 _output_shapes :������������* paddingSAME* strides 2 Conv2D� 1conv2d_4/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*' _output_shapes :@�* dtype023 1conv2d_4/kernel/Regularizer/Square/ReadVariableOp� "conv2d_4/kernel/Regularizer/SquareSquare9conv2d_4/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*' _output_shapes :@�2$ "conv2d_4/kernel/Regularizer/Square� !conv2d_4/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_4/kernel/Regularizer/Const� conv2d_4/kernel/Regularizer/SumSum&conv2d_4/kernel/Regularizer/Square:y:0*conv2d_4/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/Sum� !conv2d_4/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_4/kernel/Regularizer/mul/x� conv2d_4/kernel/Regularizer/mulMul*conv2d_4/kernel/Regularizer/mul/x:output:0(conv2d_4/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_4/kernel/Regularizer/muln IdentityIdentityConv2D:output:0* T0*2 _output_shapes :������������2 Identity" identityIdentity:output:0*4 _input_shapes# !:�����������@::Y U 1 _output_shapes :�����������@ _user_specified_nameinputs � � Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13138 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*b _output_shapesP N:,����������������������������:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3� IdentityIdentityFusedBatchNormV3:y:0* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������:::::j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � B__inference_conv2d_5_layer_call_and_return_conditional_losses_5430 inputs" conv2d_readvariableop_resource identity�� Conv2D/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype02 Conv2D/ReadVariableOp� Conv2DConv2DinputsConv2D/ReadVariableOp:value:0* T0*0 _output_shapes :���������LL�* paddingSAME* strides 2 Conv2D� 1conv2d_5/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_readvariableop_resource*( _output_shapes :��* dtype023 1conv2d_5/kernel/Regularizer/Square/ReadVariableOp� "conv2d_5/kernel/Regularizer/SquareSquare9conv2d_5/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2$ "conv2d_5/kernel/Regularizer/Square� !conv2d_5/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2# !conv2d_5/kernel/Regularizer/Const� conv2d_5/kernel/Regularizer/SumSum&conv2d_5/kernel/Regularizer/Square:y:0*conv2d_5/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/Sum� !conv2d_5/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2# !conv2d_5/kernel/Regularizer/mul/x� conv2d_5/kernel/Regularizer/mulMul*conv2d_5/kernel/Regularizer/mul/x:output:0(conv2d_5/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2! conv2d_5/kernel/Regularizer/mull IdentityIdentityConv2D:output:0* T0*0 _output_shapes :���������LL�2 Identity" identityIdentity:output:0*3 _input_shapes" :���������LL�::X T 0 _output_shapes :���������LL� _user_specified_nameinputs � � P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11808 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity��AssignNewValue�AssignNewValue_1t ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :@* dtype02 ReadVariableOpz ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :@* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :@* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :@* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*] _output_shapesK I:+���������������������������@:@:@:@:@:* epsilon%o�:* exponential_avg_factor% �#<2 FusedBatchNormV3� AssignNewValueAssignVariableOp(fusedbatchnormv3_readvariableop_resourceFusedBatchNormV3:batch_mean:0 ^FusedBatchNormV3/ReadVariableOp*; _class1 /-loc:@FusedBatchNormV3/ReadVariableOp/resource* _output_shapes * dtype02 AssignNewValue� AssignNewValue_1AssignVariableOp*fusedbatchnormv3_readvariableop_1_resource!FusedBatchNormV3:batch_variance:0"^FusedBatchNormV3/ReadVariableOp_1*= _class3 1/loc:@FusedBatchNormV3/ReadVariableOp_1/resource* _output_shapes * dtype02 AssignNewValue_1� IdentityIdentityFusedBatchNormV3:y:0^AssignNewValue^AssignNewValue_1* T0*A _output_shapes/ -:+���������������������������@2 Identity" identityIdentity:output:0*P _input_shapes? =:+���������������������������@::::2 AssignNewValueAssignNewValue2$ AssignNewValue_1AssignNewValue_1:i e A _output_shapes/ -:+���������������������������@ _user_specified_nameinputs � p __inference_loss_fn_12_15085? ;conv2d_12_kernel_regularizer_square_readvariableop_resource identity�� 2conv2d_12/kernel/Regularizer/Square/ReadVariableOpReadVariableOp;conv2d_12_kernel_regularizer_square_readvariableop_resource*( _output_shapes :��* dtype024 2conv2d_12/kernel/Regularizer/Square/ReadVariableOp� #conv2d_12/kernel/Regularizer/SquareSquare:conv2d_12/kernel/Regularizer/Square/ReadVariableOp:value:0* T0*( _output_shapes :��2% #conv2d_12/kernel/Regularizer/Square� "conv2d_12/kernel/Regularizer/ConstConst* _output_shapes :* dtype0*% valueB" 2$ "conv2d_12/kernel/Regularizer/Const� conv2d_12/kernel/Regularizer/SumSum'conv2d_12/kernel/Regularizer/Square:y:0+conv2d_12/kernel/Regularizer/Const:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/Sum� "conv2d_12/kernel/Regularizer/mul/xConst* _output_shapes : * dtype0* valueB *o:2$ "conv2d_12/kernel/Regularizer/mul/x� conv2d_12/kernel/Regularizer/mulMul+conv2d_12/kernel/Regularizer/mul/x:output:0)conv2d_12/kernel/Regularizer/Sum:output:0* T0* _output_shapes : 2" conv2d_12/kernel/Regularizer/mulg IdentityIdentity$conv2d_12/kernel/Regularizer/mul:z:0* T0* _output_shapes : 2 Identity" identityIdentity:output:0* _input_shapes : � � 6__inference_batch_normalization_15_layer_call_fn_13807 inputs unknown unknown_0 unknown_1 unknown_2 identity��StatefulPartitionedCall� StatefulPartitionedCallStatefulPartitionedCallinputsunknown unknown_0 unknown_1 unknown_2* Tin 2* Tout 2* _collective_manager_ids *B _output_shapes0 .:,����������������������������*$ _read_only_resource_inputs *- config_proto CPU GPU 2J 8� *Y fTRR P__inference_batch_normalization_15_layer_call_and_return_conditional_losses_41892 StatefulPartitionedCall� IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall* T0*B _output_shapes0 .:,����������������������������2 Identity" identityIdentity:output:0*Q _input_shapes@ >:,����������������������������::::22 StatefulPartitionedCallStatefulPartitionedCall:j f B _output_shapes0 .:,���������������������������� _user_specified_nameinputs � � Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13366 inputs readvariableop_resource readvariableop_1_resource, (fusedbatchnormv3_readvariableop_resource. *fusedbatchnormv3_readvariableop_1_resource identity�u ReadVariableOpReadVariableOpreadvariableop_resource* _output_shapes :�* dtype02 ReadVariableOp{ ReadVariableOp_1ReadVariableOpreadvariableop_1_resource* _output_shapes :�* dtype02 ReadVariableOp_1� FusedBatchNormV3/ReadVariableOpReadVariableOp(fusedbatchnormv3_readvariableop_resource* _output_shapes :�* dtype02! FusedBatchNormV3/ReadVariableOp� !FusedBatchNormV3/ReadVariableOp_1ReadVariableOp*fusedbatchnormv3_readvariableop_1_resource* _output_shapes :�* dtype02# !FusedBatchNormV3/ReadVariableOp_1� FusedBatchNormV3FusedBatchNormV3inputsReadVariableOp:value:0ReadVariableOp_1:value:0'FusedBatchNormV3/ReadVariableOp:value:0)FusedBatchNormV3/ReadVariableOp_1:value:0* T0* U0*P _output_shapes> <:���������&&�:�:�:�:�:* epsilon%o�:* is_training( 2 FusedBatchNormV3q IdentityIdentityFusedBatchNormV3:y:0* T0*0 _output_shapes :���������&&�2 Identity" identityIdentity:output:0*? _input_shapes. ,:���������&&�:::::X T 0 _output_shapes :���������&&� _user_specified_nameinputs � e I__inference_leaky_re_lu_16_layer_call_and_return_conditional_losses_14053 inputs identitym LeakyRelu LeakyReluinputs*0 _output_shapes :����������* alpha%���=2 LeakyRelut IdentityIdentityLeakyRelu:activations:0* T0*0 _output_shapes :����������2 Identity" identityIdentity:output:0*/ _input_shapes :����������:X T 0 _output_shapes :���������� _user_specified_nameinputs"�L saver_filename:0StatefulPartitionedCall_1:0StatefulPartitionedCall_28" saved_model_main_op NoOp*> __saved_model_init_op%# __saved_model_init_op NoOp*� serving_default� E input_1: serving_default_input_1:0�����������F conv2d_229 StatefulPartitionedCall:0����������tensorflow/serving/predict:�� �� layer-0 layer_with_weights-0 layer-1 layer_with_weights-1 layer-2 layer-3 layer-4 layer_with_weights-2 layer-5 layer_with_weights-3 layer-6 layer-7 layer-8 layer_with_weights-4 layer-9 layer_with_weights-5 layer-10 layer-11 layer_with_weights-6 layer-12 layer_with_weights-7 layer-13 layer-14 layer_with_weights-8 layer-15 layer_with_weights-9 layer-16 layer-17 layer-18 layer_with_weights-10 layer-19 layer_with_weights-11 layer-20 layer-21 layer_with_weights-12 layer-22 layer_with_weights-13 layer-23 layer-24 layer_with_weights-14 layer-25 layer_with_weights-15 layer-26 layer-27 layer-28 layer_with_weights-16 layer-29 layer_with_weights-17 layer-30 layer-31 !layer_with_weights-18 !layer-32 "layer_with_weights-19 "layer-33 #layer-34 $layer_with_weights-20 $layer-35 %layer_with_weights-21 %layer-36 &layer-37 'layer_with_weights-22 'layer-38 (layer_with_weights-23 (layer-39 )layer-40 *layer_with_weights-24 *layer-41 +layer_with_weights-25 +layer-42 ,layer-43 -layer-44 .layer_with_weights-26 .layer-45 /layer_with_weights-27 /layer-46 0layer-47 1layer_with_weights-28 1layer-48 2layer_with_weights-29 2layer-49 3layer-50 4layer_with_weights-30 4layer-51 5layer_with_weights-31 5layer-52 6layer-53 7layer_with_weights-32 7layer-54 8layer_with_weights-33 8layer-55 9layer-56 :layer_with_weights-34 :layer-57 ;layer_with_weights-35 ;layer-58 <layer-59 =layer_with_weights-36 =layer-60 >layer_with_weights-37 >layer-61 ?layer_with_weights-38 ?layer-62 @layer-63 Alayer_with_weights-39 Alayer-64 Blayer_with_weights-40 Blayer-65 Clayer-66 Dlayer_with_weights-41 Dlayer-67 Elayer-68 Flayer-69 Glayer-70 Hlayer_with_weights-42 Hlayer-71 Ilayer_with_weights-43 Ilayer-72 Jlayer-73 Klayer_with_weights-44 Klayer-74 Lregularization_losses Mtrainable_variables N variables O keras_api P signatures �__call__ +�&call_and_return_all_conditional_losses �_default_save_signature"�� _tf_keras_network��{"class_name": "Functional", "name": "functional_1", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "must_restore_from_config": false, "config": {"name": "functional_1", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": {"class_name": "__tuple__", "items": [null, 608, 608, 3]}, "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "name": "input_1", "inbound_nodes": []}, {"class_name": "Conv2D", "config": {"name": "conv2d", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "conv2d", "inbound_nodes": [[["input_1", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "batch_normalization", "inbound_nodes": [[["conv2d", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu", "inbound_nodes": [[["batch_normalization", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "same", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "name": "max_pooling2d", "inbound_nodes": [[["leaky_re_lu", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "conv2d_1", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "conv2d_1", "inbound_nodes": [[["max_pooling2d", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_1", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "batch_normalization_1", "inbound_nodes": [[["conv2d_1", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_1", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_1", "inbound_nodes": [[["batch_normalization_1", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_1", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "same", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "name": "max_pooling2d_1", "inbound_nodes": [[["leaky_re_lu_1", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "conv2d_2", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "conv2d_2", "inbound_nodes": [[["max_pooling2d_1", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "batch_normalization_2", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, 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{"class_name": "__tuple__", "items": [null, 608, 608, 3]}, "config": {"batch_input_shape": {"class_name": "__tuple__", "items": [null, 608, 608, 3]}, "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}} � Qkernel Rregularization_losses Strainable_variables T variables U keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 3}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 608, 608, 3]}} � Vaxis Wgamma Xbeta Ymoving_mean Zmoving_variance [regularization_losses \trainable_variables ] variables ^ keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 32}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 608, 608, 32]}} � _regularization_losses `trainable_variables a variables b keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � cregularization_losses dtrainable_variables e variables f keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "MaxPooling2D", "name": "max_pooling2d", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "max_pooling2d", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "same", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {}}}} � gkernel hregularization_losses itrainable_variables j variables k keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_1", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_1", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 32}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 304, 304, 32]}} � laxis mgamma nbeta omoving_mean pmoving_variance qregularization_losses rtrainable_variables s variables t keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_1", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_1", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 64}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 304, 304, 64]}} � uregularization_losses vtrainable_variables w variables x keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_1", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_1", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � yregularization_losses ztrainable_variables { variables | keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "MaxPooling2D", "name": "max_pooling2d_1", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "max_pooling2d_1", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "same", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {}}}} � }kernel ~regularization_losses trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_2", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_2", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 64}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 152, 152, 64]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_2", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_2", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 152, 152, 128]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_2", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_2", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_3", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_3", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 152, 152, 128]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_3", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_3", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 64}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 152, 152, 64]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_3", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_3", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_4", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_4", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 64}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 152, 152, 64]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_4", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_4", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 152, 152, 128]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_4", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_4", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "MaxPooling2D", "name": "max_pooling2d_2", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "max_pooling2d_2", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "same", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {}}}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_5", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_5", "trainable": true, "dtype": "float32", "filters": 256, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 76, 76, 128]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_5", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_5", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 256}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 76, 76, 256]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_5", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_5", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_6", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_6", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 256}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 76, 76, 256]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_6", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_6", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 128}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 76, 76, 128]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_6", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_6", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_7", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_7", "trainable": true, "dtype": "float32", "filters": 256, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 128}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 76, 76, 128]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_7", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_7", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 256}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 76, 76, 256]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_7", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_7", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "MaxPooling2D", "name": "max_pooling2d_3", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "max_pooling2d_3", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "same", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {}}}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_8", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_8", "trainable": true, "dtype": "float32", "filters": 512, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 256}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 256]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_8", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_8", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 512}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 512]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_8", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_8", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_9", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_9", "trainable": true, "dtype": "float32", "filters": 256, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 512}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 512]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_9", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_9", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 256}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 256]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_9", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_9", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_10", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_10", "trainable": true, "dtype": "float32", "filters": 512, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 256}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 256]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_10", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_10", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 512}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 512]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_10", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_10", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_11", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_11", "trainable": true, "dtype": "float32", "filters": 256, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 512}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 512]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_11", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_11", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 256}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 256]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_11", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_11", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_12", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_12", "trainable": true, "dtype": "float32", "filters": 512, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 256}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 256]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_12", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_12", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 512}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 512]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_12", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_12", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "MaxPooling2D", "name": "max_pooling2d_4", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "max_pooling2d_4", "trainable": true, "dtype": "float32", "pool_size": {"class_name": "__tuple__", "items": [2, 2]}, "padding": "same", "strides": {"class_name": "__tuple__", "items": [2, 2]}, "data_format": "channels_last"}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {}}}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_13", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_13", "trainable": true, "dtype": "float32", "filters": 1024, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 512}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 512]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_13", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_13", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1024}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_13", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_13", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_14", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_14", "trainable": true, "dtype": "float32", "filters": 512, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1024}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_14", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_14", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 512}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 512]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_14", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_14", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_15", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_15", "trainable": true, "dtype": "float32", "filters": 1024, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 512}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 512]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_15", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_15", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1024}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_15", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_15", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_16", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_16", "trainable": true, "dtype": "float32", "filters": 512, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1024}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_16", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_16", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 512}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 512]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_16", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_16", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_17", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_17", "trainable": true, "dtype": "float32", "filters": 1024, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 512}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 512]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_17", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_17", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1024}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_17", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_17", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_18", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_18", "trainable": true, "dtype": "float32", "filters": 1024, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1024}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_18", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_18", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1024}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_20", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_20", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 512}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 512]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_18", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_18", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_20", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_20", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 64}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 38, 38, 64]}} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_19", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_19", "trainable": true, "dtype": "float32", "filters": 1024, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1024}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_20", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_20", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_19", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_19", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1024}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer� {"class_name": "Lambda", "name": "space_to_depth_x2", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "space_to_depth_x2", "trainable": true, "dtype": "float32", "function": {"class_name": "__tuple__", "items": ["4wEAAAAAAAAAAgAAAAQAAABDAAAAcxgAAABkAWQCbAB9AXwBagFqAnwAZANkBI0CUwApBfo9VGhp\nbiB3cmFwcGVyIGZvciBUZW5zb3JmbG93IHNwYWNlX3RvX2RlcHRoIHdpdGggYmxvY2tfc2l6ZT0y\nLukAAAAATukCAAAAKQHaCmJsb2NrX3NpemUpA9oKdGVuc29yZmxvd9oCbm7aDnNwYWNlX3RvX2Rl\ncHRoKQLaAXjaAnRmqQByCgAAAPp3L1VzZXJzL2FjYXN0aWxsby9Eb2N1bWVudHMvZ2l0L2RlZXBs\nZWFybmluZy9kZWVwLWxlYXJuaW5nLXNwZWNpYWxpemF0aW9uL0RMU0M0L1czL1czQTEvWUFEMksv\neWFkMmsvbW9kZWxzL2tlcmFzX3lvbG8ucHnaEXNwYWNlX3RvX2RlcHRoX3gyGwAAAHMEAAAAAAQI\nAQ==\n", null, null]}, "function_type": "lambda", "module": "yad2k.models.keras_yolo", "output_shape": {"class_name": "__tuple__", 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false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_19", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Concatenate", "name": "concatenate", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "concatenate", "trainable": true, "dtype": "float32", "axis": -1}, "build_input_shape": [{"class_name": "TensorShape", "items": [null, 19, 19, 256]}, {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}]} � �kernel �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_21", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_21", "trainable": true, "dtype": "float32", "filters": 1024, "kernel_size": {"class_name": "__tuple__", "items": [3, 3]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1280}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1280]}} � �axis �gamma �beta �moving_mean �moving_variance �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "BatchNormalization", "name": "batch_normalization_21", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "batch_normalization_21", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": 4, "max_ndim": null, "min_ndim": null, "axes": {"3": 1024}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}} � �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_21", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "leaky_re_lu_21", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}} � �kernel �bias �regularization_losses �trainable_variables � variables � keras_api �__call__ +�&call_and_return_all_conditional_losses"� _tf_keras_layer�{"class_name": "Conv2D", "name": "conv2d_22", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "config": {"name": "conv2d_22", "trainable": true, "dtype": "float32", "filters": 425, "kernel_size": {"class_name": "__tuple__", "items": [1, 1]}, "strides": {"class_name": "__tuple__", "items": [1, 1]}, "padding": "same", "data_format": "channels_last", "dilation_rate": {"class_name": "__tuple__", "items": [1, 1]}, "groups": 1, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": {"class_name": "L2", "config": {"l2": 0.0005000000237487257}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 4, "axes": {"-1": 1024}}}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 19, 19, 1024]}} � �0 �1 �2 �3 �4 �5 �6 �7 �8 �9 �10 �11 �12 �13 �14 �15 �16 �17 �18 �19 �20 �21 �22" trackable_list_wrapper � Q0 W1 X2 g3 m4 n5 }6 �7 �8 �9 �10 �11 �12 �13 �14 �15 �16 �17 �18 �19 �20 �21 �22 �23 �24 �25 �26 �27 �28 �29 �30 �31 �32 �33 �34 �35 �36 �37 �38 �39 �40 �41 �42 �43 �44 �45 �46 �47 �48 �49 �50 �51 �52 �53 �54 �55 �56 �57 �58 �59 �60 �61 �62 �63 �64 �65 �66 �67" trackable_list_wrapper � Q0 W1 X2 Y3 Z4 g5 m6 n7 o8 p9 }10 �11 �12 �13 �14 �15 �16 �17 �18 �19 �20 �21 �22 �23 �24 �25 �26 �27 �28 �29 �30 �31 �32 �33 �34 �35 �36 �37 �38 �39 �40 �41 �42 �43 �44 �45 �46 �47 �48 �49 �50 �51 �52 �53 �54 �55 �56 �57 �58 �59 �60 �61 �62 �63 �64 �65 �66 �67 �68 �69 �70 �71 �72 �73 �74 �75 �76 �77 �78 �79 �80 �81 �82 �83 �84 �85 �86 �87 �88 �89 �90 �91 �92 �93 �94 �95 �96 �97 �98 �99 �100 �101 �102 �103 �104 �105 �106 �107 �108 �109 �110 �111" trackable_list_wrapper � � layer_metrics Lregularization_losses �metrics Mtrainable_variables �layer_regularization_losses �layers N variables �non_trainable_variables �__call__ �_default_save_signature +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object - �serving_default" signature_map ':% 2 conv2d/kernel ( �0" trackable_list_wrapper ' Q0" trackable_list_wrapper ' Q0" trackable_list_wrapper � � layer_metrics Rregularization_losses �metrics �layer_regularization_losses Strainable_variables �layers T variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper ':% 2batch_normalization/gamma &:$ 2batch_normalization/beta /:- (2batch_normalization/moving_mean 3:1 (2#batch_normalization/moving_variance " trackable_list_wrapper . W0 X1" trackable_list_wrapper < W0 X1 Y2 Z3" trackable_list_wrapper � � layer_metrics [regularization_losses �metrics �layer_regularization_losses \trainable_variables �layers ] variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics _regularization_losses �metrics �layer_regularization_losses `trainable_variables �layers a variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics cregularization_losses �metrics �layer_regularization_losses dtrainable_variables �layers e variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object ):' @2conv2d_1/kernel ( �0" trackable_list_wrapper ' g0" trackable_list_wrapper ' g0" trackable_list_wrapper � � layer_metrics hregularization_losses �metrics �layer_regularization_losses itrainable_variables �layers j variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper ):'@2batch_normalization_1/gamma (:&@2batch_normalization_1/beta 1:/@ (2!batch_normalization_1/moving_mean 5:3@ (2%batch_normalization_1/moving_variance " trackable_list_wrapper . m0 n1" trackable_list_wrapper < m0 n1 o2 p3" trackable_list_wrapper � � layer_metrics qregularization_losses �metrics �layer_regularization_losses rtrainable_variables �layers s variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics 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):'�2batch_normalization_2/beta 2:0� (2!batch_normalization_2/moving_mean 6:4� (2%batch_normalization_2/moving_variance " trackable_list_wrapper 0 �0 �1" trackable_list_wrapper @ �0 �1 �2 �3" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object *:(�@2conv2d_3/kernel ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses 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_generic_user_object " trackable_list_wrapper *:(�2batch_normalization_5/gamma ):'�2batch_normalization_5/beta 2:0� (2!batch_normalization_5/moving_mean 6:4� (2%batch_normalization_5/moving_variance " trackable_list_wrapper 0 �0 �1" trackable_list_wrapper @ �0 �1 �2 �3" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object +:)��2conv2d_6/kernel ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper � � 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�non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object +:)��2conv2d_7/kernel ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper *:(�2batch_normalization_7/gamma ):'�2batch_normalization_7/beta 2:0� (2!batch_normalization_7/moving_mean 6:4� (2%batch_normalization_7/moving_variance " trackable_list_wrapper 0 �0 �1" trackable_list_wrapper @ �0 �1 �2 �3" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object +:)��2conv2d_8/kernel ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper *:(�2batch_normalization_8/gamma ):'�2batch_normalization_8/beta 2:0� (2!batch_normalization_8/moving_mean 6:4� (2%batch_normalization_8/moving_variance " trackable_list_wrapper 0 �0 �1" trackable_list_wrapper @ �0 �1 �2 �3" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object +:)��2conv2d_9/kernel ( �0" 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trackable_list_wrapper 0 �0 �1" trackable_list_wrapper @ �0 �1 �2 �3" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object ,:*��2conv2d_12/kernel ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper +:)�2batch_normalization_12/gamma *:(�2batch_normalization_12/beta 3:1� (2"batch_normalization_12/moving_mean 7:5� (2&batch_normalization_12/moving_variance " trackable_list_wrapper 0 �0 �1" trackable_list_wrapper @ �0 �1 �2 �3" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper 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(2&batch_normalization_14/moving_variance " trackable_list_wrapper 0 �0 �1" trackable_list_wrapper @ �0 �1 �2 �3" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object ,:*��2conv2d_15/kernel ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper +:)�2batch_normalization_15/gamma *:(�2batch_normalization_15/beta 3:1� (2"batch_normalization_15/moving_mean 7:5� (2&batch_normalization_15/moving_variance " trackable_list_wrapper 0 �0 �1" trackable_list_wrapper @ �0 �1 �2 �3" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object ,:*��2conv2d_16/kernel ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper +:)�2batch_normalization_16/gamma *:(�2batch_normalization_16/beta 3:1� (2"batch_normalization_16/moving_mean 7:5� (2&batch_normalization_16/moving_variance " trackable_list_wrapper 0 �0 �1" trackable_list_wrapper @ �0 �1 �2 �3" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics �regularization_losses �metrics 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trackable_list_wrapper 0 �0 �1" trackable_list_wrapper @ �0 �1 �2 �3" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object +:)�@2conv2d_20/kernel ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper ( �0" trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses '�"call_and_return_conditional_losses" _generic_user_object " trackable_list_wrapper " trackable_list_wrapper " trackable_list_wrapper � � layer_metrics �regularization_losses �metrics �layer_regularization_losses �trainable_variables �layers � variables �non_trainable_variables �__call__ +�&call_and_return_all_conditional_losses 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