CoCalc Logo Icon
StoreFeaturesDocsShareSupportNewsAboutSign UpSign In
amanchadha

Real-time collaboration for Jupyter Notebooks, Linux Terminals, LaTeX, VS Code, R IDE, and more,
all in one place. Commercial Alternative to JupyterHub.

GitHub Repository: amanchadha/coursera-deep-learning-specialization
Path: blob/master/C4 - Convolutional Neural Networks/Week 3/Car detection for Autonomous Driving/model_data/saved_model.pb
Views: 4818
��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_deviceslist(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

$conv2d_19/kernel/Read/ReadVariableOpReadVariableOpconv2d_19/kernel*(
_output_shapes
:��*
dtype0
�
batch_normalization_19/gammaVarHandleOp*
_output_shapes
:*
dtype0*
shape:�*-
shared_namebatch_normalization_19/gamma
�
0batch_normalization_19/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_19/gamma*
_output_shapes	
:�*
dtype0
�
batch_normalization_19/betaVarHandleOp*
_output_shapes
:*
dtype0*
shape:�*,
shared_namebatch_normalization_19/beta
�
/batch_normalization_19/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_19/beta*
_output_shapes	
:�*
dtype0
�
"batch_normalization_19/moving_meanVarHandleOp*
_output_shapes
:*
dtype0*
shape:�*3
shared_name$"batch_normalization_19/moving_mean
�
6batch_normalization_19/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_19/moving_mean*
_output_shapes	
:�*
dtype0
�
&batch_normalization_19/moving_varianceVarHandleOp*
_output_shapes
:*
dtype0*
shape:�*7
shared_name(&batch_normalization_19/moving_variance
�
:batch_normalization_19/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_19/moving_variance*
_output_shapes	
:�*
dtype0
�
conv2d_21/kernelVarHandleOp*
_output_shapes
:*
dtype0*
shape:�
�*!
shared_nameconv2d_21/kernel

$conv2d_21/kernel/Read/ReadVariableOpReadVariableOpconv2d_21/kernel*(
_output_shapes
:�
�*
dtype0
�
batch_normalization_21/gammaVarHandleOp*
_output_shapes
:*
dtype0*
shape:�*-
shared_namebatch_normalization_21/gamma
�
0batch_normalization_21/gamma/Read/ReadVariableOpReadVariableOpbatch_normalization_21/gamma*
_output_shapes	
:�*
dtype0
�
batch_normalization_21/betaVarHandleOp*
_output_shapes
:*
dtype0*
shape:�*,
shared_namebatch_normalization_21/beta
�
/batch_normalization_21/beta/Read/ReadVariableOpReadVariableOpbatch_normalization_21/beta*
_output_shapes	
:�*
dtype0
�
"batch_normalization_21/moving_meanVarHandleOp*
_output_shapes
:*
dtype0*
shape:�*3
shared_name$"batch_normalization_21/moving_mean
�
6batch_normalization_21/moving_mean/Read/ReadVariableOpReadVariableOp"batch_normalization_21/moving_mean*
_output_shapes	
:�*
dtype0
�
&batch_normalization_21/moving_varianceVarHandleOp*
_output_shapes
:*
dtype0*
shape:�*7
shared_name(&batch_normalization_21/moving_variance
�
:batch_normalization_21/moving_variance/Read/ReadVariableOpReadVariableOp&batch_normalization_21/moving_variance*
_output_shapes	
:�*
dtype0
�
conv2d_22/kernelVarHandleOp*
_output_shapes
:*
dtype0*
shape:��*!
shared_nameconv2d_22/kernel

$conv2d_22/kernel/Read/ReadVariableOpReadVariableOpconv2d_22/kernel*(
_output_shapes
:��*
dtype0
u
conv2d_22/biasVarHandleOp*
_output_shapes
:*
dtype0*
shape:�*
shared_nameconv2d_22/bias
n
"conv2d_22/bias/Read/ReadVariableOpReadVariableOpconv2d_22/bias*
_output_shapes	
:�*
dtype0

NoOpNoOp
��
ConstConst"
/device:CPU:0*
_output_shapes
:*
dtype0*��
value��B��B��
�
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

^

Qkernel
Rregularization_losses
Strainable_variables

T	variables

U	keras_api
�
Vaxis
	Wgamma
Xbeta
Ymoving_mean
Zmoving_variance
[regularization_losses
\trainable_variables

]	variables

^	keras_api
R
_regularization_losses
`trainable_variables

a	variables

b	keras_api
R
cregularization_losses
dtrainable_variables

e	variables

f	keras_api
^

gkernel
hregularization_losses
itrainable_variables

j	variables

k	keras_api
�
laxis
	mgamma
nbeta
omoving_mean
pmoving_variance
qregularization_losses
rtrainable_variables

s	variables

t	keras_api
R
uregularization_losses
vtrainable_variables

w	variables

x	keras_api
R
yregularization_losses
ztrainable_variables

{	variables

|	keras_api
`

}kernel
~regularization_losses
trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
c
�kernel
�regularization_losses
�trainable_variables
�	variables
�	keras_api
�
	�axis

�gamma
	�beta
�moving_mean
�moving_variance
�regularization_losses
�trainable_variables
�	variables
�	keras_api
V
�regularization_losses
�trainable_variables
�	variables
�	keras_api
n
�kernel
	�bias
�regularization_losses
�trainable_variables
�	variables
�	keras_api

�
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
�
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
�
�
layer_metrics
Lregularization_losses
�metrics
Mtrainable_variables
 �layer_regularization_losses
�layers

N	variables
�non_trainable_variables

YW
VARIABLE_VALUE
conv2d/kernel6layer_with_weights-0/kernel/.ATTRIBUTES/VARIABLE_VALUE


Q0

Q0
�
�
layer_metrics
Rregularization_losses
�metrics
 �layer_regularization_losses
Strainable_variables
�layers

T	variables
�non_trainable_variables

db
VARIABLE_VALUEbatch_normalization/gamma5layer_with_weights-1/gamma/.ATTRIBUTES/VARIABLE_VALUE
b`
VARIABLE_VALUEbatch_normalization/beta4layer_with_weights-1/beta/.ATTRIBUTES/VARIABLE_VALUE
pn
VARIABLE_VALUEbatch_normalization/moving_mean;layer_with_weights-1/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
xv
VARIABLE_VALUE#batch_normalization/moving_variance?layer_with_weights-1/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


W0
X1

W0
X1
Y2
Z3
�
�
layer_metrics
[regularization_losses
�metrics
 �layer_regularization_losses
\trainable_variables
�layers

]	variables
�non_trainable_variables



�
�
layer_metrics
_regularization_losses
�metrics
 �layer_regularization_losses
`trainable_variables
�layers

a	variables
�non_trainable_variables



�
�
layer_metrics
cregularization_losses
�metrics
 �layer_regularization_losses
dtrainable_variables
�layers

e	variables
�non_trainable_variables
[Y
VARIABLE_VALUEconv2d_1/kernel6layer_with_weights-2/kernel/.ATTRIBUTES/VARIABLE_VALUE


g0

g0
�
�
layer_metrics
hregularization_losses
�metrics
 �layer_regularization_losses
itrainable_variables
�layers

j	variables
�non_trainable_variables

fd
VARIABLE_VALUEbatch_normalization_1/gamma5layer_with_weights-3/gamma/.ATTRIBUTES/VARIABLE_VALUE
db
VARIABLE_VALUEbatch_normalization_1/beta4layer_with_weights-3/beta/.ATTRIBUTES/VARIABLE_VALUE
rp
VARIABLE_VALUE!batch_normalization_1/moving_mean;layer_with_weights-3/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
zx
VARIABLE_VALUE%batch_normalization_1/moving_variance?layer_with_weights-3/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


m0
n1

m0
n1
o2
p3
�
�
layer_metrics
qregularization_losses
�metrics
 �layer_regularization_losses
rtrainable_variables
�layers

s	variables
�non_trainable_variables



�
�
layer_metrics
uregularization_losses
�metrics
 �layer_regularization_losses
vtrainable_variables
�layers

w	variables
�non_trainable_variables



�
�
layer_metrics
yregularization_losses
�metrics
 �layer_regularization_losses
ztrainable_variables
�layers

{	variables
�non_trainable_variables
[Y
VARIABLE_VALUEconv2d_2/kernel6layer_with_weights-4/kernel/.ATTRIBUTES/VARIABLE_VALUE


}0

}0
�
�
layer_metrics
~regularization_losses
�metrics
 �layer_regularization_losses
trainable_variables
�layers
�	variables
�non_trainable_variables

fd
VARIABLE_VALUEbatch_normalization_2/gamma5layer_with_weights-5/gamma/.ATTRIBUTES/VARIABLE_VALUE
db
VARIABLE_VALUEbatch_normalization_2/beta4layer_with_weights-5/beta/.ATTRIBUTES/VARIABLE_VALUE
rp
VARIABLE_VALUE!batch_normalization_2/moving_mean;layer_with_weights-5/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
zx
VARIABLE_VALUE%batch_normalization_2/moving_variance?layer_with_weights-5/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
[Y
VARIABLE_VALUEconv2d_3/kernel6layer_with_weights-6/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

fd
VARIABLE_VALUEbatch_normalization_3/gamma5layer_with_weights-7/gamma/.ATTRIBUTES/VARIABLE_VALUE
db
VARIABLE_VALUEbatch_normalization_3/beta4layer_with_weights-7/beta/.ATTRIBUTES/VARIABLE_VALUE
rp
VARIABLE_VALUE!batch_normalization_3/moving_mean;layer_with_weights-7/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
zx
VARIABLE_VALUE%batch_normalization_3/moving_variance?layer_with_weights-7/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
[Y
VARIABLE_VALUEconv2d_4/kernel6layer_with_weights-8/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

fd
VARIABLE_VALUEbatch_normalization_4/gamma5layer_with_weights-9/gamma/.ATTRIBUTES/VARIABLE_VALUE
db
VARIABLE_VALUEbatch_normalization_4/beta4layer_with_weights-9/beta/.ATTRIBUTES/VARIABLE_VALUE
rp
VARIABLE_VALUE!batch_normalization_4/moving_mean;layer_with_weights-9/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
zx
VARIABLE_VALUE%batch_normalization_4/moving_variance?layer_with_weights-9/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
\Z
VARIABLE_VALUEconv2d_5/kernel7layer_with_weights-10/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

ge
VARIABLE_VALUEbatch_normalization_5/gamma6layer_with_weights-11/gamma/.ATTRIBUTES/VARIABLE_VALUE
ec
VARIABLE_VALUEbatch_normalization_5/beta5layer_with_weights-11/beta/.ATTRIBUTES/VARIABLE_VALUE
sq
VARIABLE_VALUE!batch_normalization_5/moving_mean<layer_with_weights-11/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
{y
VARIABLE_VALUE%batch_normalization_5/moving_variance@layer_with_weights-11/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
\Z
VARIABLE_VALUEconv2d_6/kernel7layer_with_weights-12/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

ge
VARIABLE_VALUEbatch_normalization_6/gamma6layer_with_weights-13/gamma/.ATTRIBUTES/VARIABLE_VALUE
ec
VARIABLE_VALUEbatch_normalization_6/beta5layer_with_weights-13/beta/.ATTRIBUTES/VARIABLE_VALUE
sq
VARIABLE_VALUE!batch_normalization_6/moving_mean<layer_with_weights-13/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
{y
VARIABLE_VALUE%batch_normalization_6/moving_variance@layer_with_weights-13/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
\Z
VARIABLE_VALUEconv2d_7/kernel7layer_with_weights-14/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

ge
VARIABLE_VALUEbatch_normalization_7/gamma6layer_with_weights-15/gamma/.ATTRIBUTES/VARIABLE_VALUE
ec
VARIABLE_VALUEbatch_normalization_7/beta5layer_with_weights-15/beta/.ATTRIBUTES/VARIABLE_VALUE
sq
VARIABLE_VALUE!batch_normalization_7/moving_mean<layer_with_weights-15/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
{y
VARIABLE_VALUE%batch_normalization_7/moving_variance@layer_with_weights-15/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
\Z
VARIABLE_VALUEconv2d_8/kernel7layer_with_weights-16/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

ge
VARIABLE_VALUEbatch_normalization_8/gamma6layer_with_weights-17/gamma/.ATTRIBUTES/VARIABLE_VALUE
ec
VARIABLE_VALUEbatch_normalization_8/beta5layer_with_weights-17/beta/.ATTRIBUTES/VARIABLE_VALUE
sq
VARIABLE_VALUE!batch_normalization_8/moving_mean<layer_with_weights-17/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
{y
VARIABLE_VALUE%batch_normalization_8/moving_variance@layer_with_weights-17/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
\Z
VARIABLE_VALUEconv2d_9/kernel7layer_with_weights-18/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

ge
VARIABLE_VALUEbatch_normalization_9/gamma6layer_with_weights-19/gamma/.ATTRIBUTES/VARIABLE_VALUE
ec
VARIABLE_VALUEbatch_normalization_9/beta5layer_with_weights-19/beta/.ATTRIBUTES/VARIABLE_VALUE
sq
VARIABLE_VALUE!batch_normalization_9/moving_mean<layer_with_weights-19/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
{y
VARIABLE_VALUE%batch_normalization_9/moving_variance@layer_with_weights-19/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_10/kernel7layer_with_weights-20/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_10/gamma6layer_with_weights-21/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_10/beta5layer_with_weights-21/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_10/moving_mean<layer_with_weights-21/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_10/moving_variance@layer_with_weights-21/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_11/kernel7layer_with_weights-22/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_11/gamma6layer_with_weights-23/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_11/beta5layer_with_weights-23/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_11/moving_mean<layer_with_weights-23/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_11/moving_variance@layer_with_weights-23/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_12/kernel7layer_with_weights-24/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_12/gamma6layer_with_weights-25/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_12/beta5layer_with_weights-25/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_12/moving_mean<layer_with_weights-25/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_12/moving_variance@layer_with_weights-25/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_13/kernel7layer_with_weights-26/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_13/gamma6layer_with_weights-27/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_13/beta5layer_with_weights-27/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_13/moving_mean<layer_with_weights-27/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_13/moving_variance@layer_with_weights-27/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_14/kernel7layer_with_weights-28/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_14/gamma6layer_with_weights-29/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_14/beta5layer_with_weights-29/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_14/moving_mean<layer_with_weights-29/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_14/moving_variance@layer_with_weights-29/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_15/kernel7layer_with_weights-30/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_15/gamma6layer_with_weights-31/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_15/beta5layer_with_weights-31/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_15/moving_mean<layer_with_weights-31/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_15/moving_variance@layer_with_weights-31/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_16/kernel7layer_with_weights-32/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_16/gamma6layer_with_weights-33/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_16/beta5layer_with_weights-33/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_16/moving_mean<layer_with_weights-33/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_16/moving_variance@layer_with_weights-33/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_17/kernel7layer_with_weights-34/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_17/gamma6layer_with_weights-35/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_17/beta5layer_with_weights-35/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_17/moving_mean<layer_with_weights-35/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_17/moving_variance@layer_with_weights-35/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_18/kernel7layer_with_weights-36/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_18/gamma6layer_with_weights-37/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_18/beta5layer_with_weights-37/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_18/moving_mean<layer_with_weights-37/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_18/moving_variance@layer_with_weights-37/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_20/kernel7layer_with_weights-38/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_20/gamma6layer_with_weights-39/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_20/beta5layer_with_weights-39/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_20/moving_mean<layer_with_weights-39/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_20/moving_variance@layer_with_weights-39/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_19/kernel7layer_with_weights-40/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_19/gamma6layer_with_weights-41/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_19/beta5layer_with_weights-41/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_19/moving_mean<layer_with_weights-41/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_19/moving_variance@layer_with_weights-41/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_21/kernel7layer_with_weights-42/kernel/.ATTRIBUTES/VARIABLE_VALUE


�0

�0
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables

hf
VARIABLE_VALUEbatch_normalization_21/gamma6layer_with_weights-43/gamma/.ATTRIBUTES/VARIABLE_VALUE
fd
VARIABLE_VALUEbatch_normalization_21/beta5layer_with_weights-43/beta/.ATTRIBUTES/VARIABLE_VALUE
tr
VARIABLE_VALUE"batch_normalization_21/moving_mean<layer_with_weights-43/moving_mean/.ATTRIBUTES/VARIABLE_VALUE
|z
VARIABLE_VALUE&batch_normalization_21/moving_variance@layer_with_weights-43/moving_variance/.ATTRIBUTES/VARIABLE_VALUE


�0
�1
 
�0
�1
�2
�3
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables
][
VARIABLE_VALUEconv2d_22/kernel7layer_with_weights-44/kernel/.ATTRIBUTES/VARIABLE_VALUE
YW
VARIABLE_VALUEconv2d_22/bias5layer_with_weights-44/bias/.ATTRIBUTES/VARIABLE_VALUE


�0
�1

�0
�1
�
�
layer_metrics
�regularization_losses
�metrics
 �layer_regularization_losses
�trainable_variables
�layers
�	variables
�non_trainable_variables



�
0
1
2
3
4
5
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
047
148
249
350
451
552
653
754
855
956
:57
;58
<59
=60
>61
?62
@63
A64
B65
C66
D67
E68
F69
G70
H71
I72
J73
K74
�
Y0
Z1
o2
p3
�4
�5
�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










Y0
Z1




















o0
p1




















�0
�1















�0
�1















�0
�1




















�0
�1















�0
�1















�0
�1




















�0
�1















�0
�1















�0
�1















�0
�1















�0
�1




















�0
�1















�0
�1















�0
�1















�0
�1















�0
�1















�0
�1















�0
�1















�0
�1

























�0
�1










�
serving_default_input_1Placeholder*1
_output_shapes
:�����������*
dtype0*&
shape:�����������
�
StatefulPartitionedCallStatefulPartitionedCallserving_default_input_1
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*|
Tinu
s2q*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*�
_read_only_resource_inputst
rp	

 !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnop*-
config_proto

CPU

GPU2J8�*+
f&R$
"__inference_signature_wrapper_9664
O
saver_filenamePlaceholder*
_output_shapes
:*
dtype0*
shape:
�.
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

GPU2J8�*'
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

GPU2J8�**
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

GPU2J8�*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:YU
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

GPU2J8�*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:jf
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@
>:,����������������������������:::::jf
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

GPU2J8�*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:ZV
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(
$assignvariableop_75_conv2d_15_kernel4
0assignvariableop_76_batch_normalization_15_gamma3
/assignvariableop_77_batch_normalization_15_beta:
6assignvariableop_78_batch_normalization_15_moving_mean>
:assignvariableop_79_batch_normalization_15_moving_variance(
$assignvariableop_80_conv2d_16_kernel4
0assignvariableop_81_batch_normalization_16_gamma3
/assignvariableop_82_batch_normalization_16_beta:
6assignvariableop_83_batch_normalization_16_moving_mean>
:assignvariableop_84_batch_normalization_16_moving_variance(
$assignvariableop_85_conv2d_17_kernel4
0assignvariableop_86_batch_normalization_17_gamma3
/assignvariableop_87_batch_normalization_17_beta:
6assignvariableop_88_batch_normalization_17_moving_mean>
:assignvariableop_89_batch_normalization_17_moving_variance(
$assignvariableop_90_conv2d_18_kernel4
0assignvariableop_91_batch_normalization_18_gamma3
/assignvariableop_92_batch_normalization_18_beta:
6assignvariableop_93_batch_normalization_18_moving_mean>
: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
identity_113��AssignVariableOp�AssignVariableOp_1�AssignVariableOp_10�AssignVariableOp_100�AssignVariableOp_101�AssignVariableOp_102�AssignVariableOp_103�AssignVariableOp_104�AssignVariableOp_105�AssignVariableOp_106�AssignVariableOp_107�AssignVariableOp_108�AssignVariableOp_109�AssignVariableOp_11�AssignVariableOp_110�AssignVariableOp_111�AssignVariableOp_12�AssignVariableOp_13�AssignVariableOp_14�AssignVariableOp_15�AssignVariableOp_16�AssignVariableOp_17�AssignVariableOp_18�AssignVariableOp_19�AssignVariableOp_2�AssignVariableOp_20�AssignVariableOp_21�AssignVariableOp_22�AssignVariableOp_23�AssignVariableOp_24�AssignVariableOp_25�AssignVariableOp_26�AssignVariableOp_27�AssignVariableOp_28�AssignVariableOp_29�AssignVariableOp_3�AssignVariableOp_30�AssignVariableOp_31�AssignVariableOp_32�AssignVariableOp_33�AssignVariableOp_34�AssignVariableOp_35�AssignVariableOp_36�AssignVariableOp_37�AssignVariableOp_38�AssignVariableOp_39�AssignVariableOp_4�AssignVariableOp_40�AssignVariableOp_41�AssignVariableOp_42�AssignVariableOp_43�AssignVariableOp_44�AssignVariableOp_45�AssignVariableOp_46�AssignVariableOp_47�AssignVariableOp_48�AssignVariableOp_49�AssignVariableOp_5�AssignVariableOp_50�AssignVariableOp_51�AssignVariableOp_52�AssignVariableOp_53�AssignVariableOp_54�AssignVariableOp_55�AssignVariableOp_56�AssignVariableOp_57�AssignVariableOp_58�AssignVariableOp_59�AssignVariableOp_6�AssignVariableOp_60�AssignVariableOp_61�AssignVariableOp_62�AssignVariableOp_63�AssignVariableOp_64�AssignVariableOp_65�AssignVariableOp_66�AssignVariableOp_67�AssignVariableOp_68�AssignVariableOp_69�AssignVariableOp_7�AssignVariableOp_70�AssignVariableOp_71�AssignVariableOp_72�AssignVariableOp_73�AssignVariableOp_74�AssignVariableOp_75�AssignVariableOp_76�AssignVariableOp_77�AssignVariableOp_78�AssignVariableOp_79�AssignVariableOp_8�AssignVariableOp_80�AssignVariableOp_81�AssignVariableOp_82�AssignVariableOp_83�AssignVariableOp_84�AssignVariableOp_85�AssignVariableOp_86�AssignVariableOp_87�AssignVariableOp_88�AssignVariableOp_89�AssignVariableOp_9�AssignVariableOp_90�AssignVariableOp_91�AssignVariableOp_92�AssignVariableOp_93�AssignVariableOp_94�AssignVariableOp_95�AssignVariableOp_96�AssignVariableOp_97�AssignVariableOp_98�AssignVariableOp_99�4
RestoreV2/tensor_namesConst"
/device:CPU:0*
_output_shapes
:q*
dtype0*�3
value�3B�3qB6layer_with_weights-0/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-1/gamma/.ATTRIBUTES/VARIABLE_VALUEB4layer_with_weights-1/beta/.ATTRIBUTES/VARIABLE_VALUEB;layer_with_weights-1/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB?layer_with_weights-1/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-2/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-3/gamma/.ATTRIBUTES/VARIABLE_VALUEB4layer_with_weights-3/beta/.ATTRIBUTES/VARIABLE_VALUEB;layer_with_weights-3/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB?layer_with_weights-3/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-4/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-5/gamma/.ATTRIBUTES/VARIABLE_VALUEB4layer_with_weights-5/beta/.ATTRIBUTES/VARIABLE_VALUEB;layer_with_weights-5/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB?layer_with_weights-5/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-6/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-7/gamma/.ATTRIBUTES/VARIABLE_VALUEB4layer_with_weights-7/beta/.ATTRIBUTES/VARIABLE_VALUEB;layer_with_weights-7/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB?layer_with_weights-7/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-8/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-9/gamma/.ATTRIBUTES/VARIABLE_VALUEB4layer_with_weights-9/beta/.ATTRIBUTES/VARIABLE_VALUEB;layer_with_weights-9/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB?layer_with_weights-9/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-10/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-11/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-11/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-11/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-11/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-12/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-13/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-13/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-13/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-13/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-14/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-15/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-15/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-15/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-15/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-16/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-17/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-17/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-17/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-17/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-18/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-19/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-19/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-19/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-19/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-20/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-21/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-21/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-21/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-21/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-22/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-23/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-23/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-23/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-23/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-24/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-25/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-25/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-25/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-25/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-26/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-27/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-27/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-27/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-27/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-28/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-29/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-29/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-29/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-29/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-30/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-31/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-31/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-31/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-31/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-32/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-33/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-33/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-33/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-33/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-34/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-35/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-35/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-35/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-35/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-36/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-37/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-37/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-37/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-37/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-38/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-39/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-39/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-39/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-39/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-40/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-41/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-41/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-41/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-41/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-42/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-43/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-43/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-43/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-43/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-44/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-44/bias/.ATTRIBUTES/VARIABLE_VALUEB_CHECKPOINTABLE_OBJECT_GRAPH2
RestoreV2/tensor_names�
RestoreV2/shape_and_slicesConst"
/device:CPU:0*
_output_shapes
:q*
dtype0*�
value�B�qBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB2
RestoreV2/shape_and_slices�
	RestoreV2	RestoreV2file_prefixRestoreV2/tensor_names:output:0#RestoreV2/shape_and_slices:output:0"
/device:CPU:0*�
_output_shapes�
�:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::*
dtypesu
s2q2
	RestoreV2g
IdentityIdentityRestoreV2:tensors:0"
/device:CPU:0*
T0*
_output_shapes
:2

Identity�
AssignVariableOpAssignVariableOpassignvariableop_conv2d_kernelIdentity:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOpk

Identity_1IdentityRestoreV2:tensors:1"
/device:CPU:0*
T0*
_output_shapes
:2

Identity_1�
AssignVariableOp_1AssignVariableOp,assignvariableop_1_batch_normalization_gammaIdentity_1:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_1k

Identity_2IdentityRestoreV2:tensors:2"
/device:CPU:0*
T0*
_output_shapes
:2

Identity_2�
AssignVariableOp_2AssignVariableOp+assignvariableop_2_batch_normalization_betaIdentity_2:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_2k

Identity_3IdentityRestoreV2:tensors:3"
/device:CPU:0*
T0*
_output_shapes
:2

Identity_3�
AssignVariableOp_3AssignVariableOp2assignvariableop_3_batch_normalization_moving_meanIdentity_3:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_3k

Identity_4IdentityRestoreV2:tensors:4"
/device:CPU:0*
T0*
_output_shapes
:2

Identity_4�
AssignVariableOp_4AssignVariableOp6assignvariableop_4_batch_normalization_moving_varianceIdentity_4:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_4k

Identity_5IdentityRestoreV2:tensors:5"
/device:CPU:0*
T0*
_output_shapes
:2

Identity_5�
AssignVariableOp_5AssignVariableOp"assignvariableop_5_conv2d_1_kernelIdentity_5:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_5k

Identity_6IdentityRestoreV2:tensors:6"
/device:CPU:0*
T0*
_output_shapes
:2

Identity_6�
AssignVariableOp_6AssignVariableOp.assignvariableop_6_batch_normalization_1_gammaIdentity_6:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_6k

Identity_7IdentityRestoreV2:tensors:7"
/device:CPU:0*
T0*
_output_shapes
:2

Identity_7�
AssignVariableOp_7AssignVariableOp-assignvariableop_7_batch_normalization_1_betaIdentity_7:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_7k

Identity_8IdentityRestoreV2:tensors:8"
/device:CPU:0*
T0*
_output_shapes
:2

Identity_8�
AssignVariableOp_8AssignVariableOp4assignvariableop_8_batch_normalization_1_moving_meanIdentity_8:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_8k

Identity_9IdentityRestoreV2:tensors:9"
/device:CPU:0*
T0*
_output_shapes
:2

Identity_9�
AssignVariableOp_9AssignVariableOp8assignvariableop_9_batch_normalization_1_moving_varianceIdentity_9:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_9n
Identity_10IdentityRestoreV2:tensors:10"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_10�
AssignVariableOp_10AssignVariableOp#assignvariableop_10_conv2d_2_kernelIdentity_10:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_10n
Identity_11IdentityRestoreV2:tensors:11"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_11�
AssignVariableOp_11AssignVariableOp/assignvariableop_11_batch_normalization_2_gammaIdentity_11:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_11n
Identity_12IdentityRestoreV2:tensors:12"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_12�
AssignVariableOp_12AssignVariableOp.assignvariableop_12_batch_normalization_2_betaIdentity_12:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_12n
Identity_13IdentityRestoreV2:tensors:13"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_13�
AssignVariableOp_13AssignVariableOp5assignvariableop_13_batch_normalization_2_moving_meanIdentity_13:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_13n
Identity_14IdentityRestoreV2:tensors:14"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_14�
AssignVariableOp_14AssignVariableOp9assignvariableop_14_batch_normalization_2_moving_varianceIdentity_14:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_14n
Identity_15IdentityRestoreV2:tensors:15"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_15�
AssignVariableOp_15AssignVariableOp#assignvariableop_15_conv2d_3_kernelIdentity_15:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_15n
Identity_16IdentityRestoreV2:tensors:16"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_16�
AssignVariableOp_16AssignVariableOp/assignvariableop_16_batch_normalization_3_gammaIdentity_16:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_16n
Identity_17IdentityRestoreV2:tensors:17"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_17�
AssignVariableOp_17AssignVariableOp.assignvariableop_17_batch_normalization_3_betaIdentity_17:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_17n
Identity_18IdentityRestoreV2:tensors:18"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_18�
AssignVariableOp_18AssignVariableOp5assignvariableop_18_batch_normalization_3_moving_meanIdentity_18:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_18n
Identity_19IdentityRestoreV2:tensors:19"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_19�
AssignVariableOp_19AssignVariableOp9assignvariableop_19_batch_normalization_3_moving_varianceIdentity_19:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_19n
Identity_20IdentityRestoreV2:tensors:20"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_20�
AssignVariableOp_20AssignVariableOp#assignvariableop_20_conv2d_4_kernelIdentity_20:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_20n
Identity_21IdentityRestoreV2:tensors:21"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_21�
AssignVariableOp_21AssignVariableOp/assignvariableop_21_batch_normalization_4_gammaIdentity_21:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_21n
Identity_22IdentityRestoreV2:tensors:22"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_22�
AssignVariableOp_22AssignVariableOp.assignvariableop_22_batch_normalization_4_betaIdentity_22:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_22n
Identity_23IdentityRestoreV2:tensors:23"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_23�
AssignVariableOp_23AssignVariableOp5assignvariableop_23_batch_normalization_4_moving_meanIdentity_23:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_23n
Identity_24IdentityRestoreV2:tensors:24"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_24�
AssignVariableOp_24AssignVariableOp9assignvariableop_24_batch_normalization_4_moving_varianceIdentity_24:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_24n
Identity_25IdentityRestoreV2:tensors:25"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_25�
AssignVariableOp_25AssignVariableOp#assignvariableop_25_conv2d_5_kernelIdentity_25:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_25n
Identity_26IdentityRestoreV2:tensors:26"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_26�
AssignVariableOp_26AssignVariableOp/assignvariableop_26_batch_normalization_5_gammaIdentity_26:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_26n
Identity_27IdentityRestoreV2:tensors:27"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_27�
AssignVariableOp_27AssignVariableOp.assignvariableop_27_batch_normalization_5_betaIdentity_27:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_27n
Identity_28IdentityRestoreV2:tensors:28"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_28�
AssignVariableOp_28AssignVariableOp5assignvariableop_28_batch_normalization_5_moving_meanIdentity_28:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_28n
Identity_29IdentityRestoreV2:tensors:29"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_29�
AssignVariableOp_29AssignVariableOp9assignvariableop_29_batch_normalization_5_moving_varianceIdentity_29:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_29n
Identity_30IdentityRestoreV2:tensors:30"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_30�
AssignVariableOp_30AssignVariableOp#assignvariableop_30_conv2d_6_kernelIdentity_30:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_30n
Identity_31IdentityRestoreV2:tensors:31"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_31�
AssignVariableOp_31AssignVariableOp/assignvariableop_31_batch_normalization_6_gammaIdentity_31:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_31n
Identity_32IdentityRestoreV2:tensors:32"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_32�
AssignVariableOp_32AssignVariableOp.assignvariableop_32_batch_normalization_6_betaIdentity_32:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_32n
Identity_33IdentityRestoreV2:tensors:33"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_33�
AssignVariableOp_33AssignVariableOp5assignvariableop_33_batch_normalization_6_moving_meanIdentity_33:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_33n
Identity_34IdentityRestoreV2:tensors:34"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_34�
AssignVariableOp_34AssignVariableOp9assignvariableop_34_batch_normalization_6_moving_varianceIdentity_34:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_34n
Identity_35IdentityRestoreV2:tensors:35"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_35�
AssignVariableOp_35AssignVariableOp#assignvariableop_35_conv2d_7_kernelIdentity_35:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_35n
Identity_36IdentityRestoreV2:tensors:36"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_36�
AssignVariableOp_36AssignVariableOp/assignvariableop_36_batch_normalization_7_gammaIdentity_36:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_36n
Identity_37IdentityRestoreV2:tensors:37"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_37�
AssignVariableOp_37AssignVariableOp.assignvariableop_37_batch_normalization_7_betaIdentity_37:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_37n
Identity_38IdentityRestoreV2:tensors:38"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_38�
AssignVariableOp_38AssignVariableOp5assignvariableop_38_batch_normalization_7_moving_meanIdentity_38:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_38n
Identity_39IdentityRestoreV2:tensors:39"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_39�
AssignVariableOp_39AssignVariableOp9assignvariableop_39_batch_normalization_7_moving_varianceIdentity_39:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_39n
Identity_40IdentityRestoreV2:tensors:40"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_40�
AssignVariableOp_40AssignVariableOp#assignvariableop_40_conv2d_8_kernelIdentity_40:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_40n
Identity_41IdentityRestoreV2:tensors:41"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_41�
AssignVariableOp_41AssignVariableOp/assignvariableop_41_batch_normalization_8_gammaIdentity_41:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_41n
Identity_42IdentityRestoreV2:tensors:42"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_42�
AssignVariableOp_42AssignVariableOp.assignvariableop_42_batch_normalization_8_betaIdentity_42:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_42n
Identity_43IdentityRestoreV2:tensors:43"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_43�
AssignVariableOp_43AssignVariableOp5assignvariableop_43_batch_normalization_8_moving_meanIdentity_43:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_43n
Identity_44IdentityRestoreV2:tensors:44"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_44�
AssignVariableOp_44AssignVariableOp9assignvariableop_44_batch_normalization_8_moving_varianceIdentity_44:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_44n
Identity_45IdentityRestoreV2:tensors:45"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_45�
AssignVariableOp_45AssignVariableOp#assignvariableop_45_conv2d_9_kernelIdentity_45:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_45n
Identity_46IdentityRestoreV2:tensors:46"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_46�
AssignVariableOp_46AssignVariableOp/assignvariableop_46_batch_normalization_9_gammaIdentity_46:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_46n
Identity_47IdentityRestoreV2:tensors:47"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_47�
AssignVariableOp_47AssignVariableOp.assignvariableop_47_batch_normalization_9_betaIdentity_47:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_47n
Identity_48IdentityRestoreV2:tensors:48"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_48�
AssignVariableOp_48AssignVariableOp5assignvariableop_48_batch_normalization_9_moving_meanIdentity_48:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_48n
Identity_49IdentityRestoreV2:tensors:49"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_49�
AssignVariableOp_49AssignVariableOp9assignvariableop_49_batch_normalization_9_moving_varianceIdentity_49:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_49n
Identity_50IdentityRestoreV2:tensors:50"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_50�
AssignVariableOp_50AssignVariableOp$assignvariableop_50_conv2d_10_kernelIdentity_50:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_50n
Identity_51IdentityRestoreV2:tensors:51"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_51�
AssignVariableOp_51AssignVariableOp0assignvariableop_51_batch_normalization_10_gammaIdentity_51:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_51n
Identity_52IdentityRestoreV2:tensors:52"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_52�
AssignVariableOp_52AssignVariableOp/assignvariableop_52_batch_normalization_10_betaIdentity_52:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_52n
Identity_53IdentityRestoreV2:tensors:53"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_53�
AssignVariableOp_53AssignVariableOp6assignvariableop_53_batch_normalization_10_moving_meanIdentity_53:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_53n
Identity_54IdentityRestoreV2:tensors:54"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_54�
AssignVariableOp_54AssignVariableOp:assignvariableop_54_batch_normalization_10_moving_varianceIdentity_54:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_54n
Identity_55IdentityRestoreV2:tensors:55"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_55�
AssignVariableOp_55AssignVariableOp$assignvariableop_55_conv2d_11_kernelIdentity_55:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_55n
Identity_56IdentityRestoreV2:tensors:56"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_56�
AssignVariableOp_56AssignVariableOp0assignvariableop_56_batch_normalization_11_gammaIdentity_56:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_56n
Identity_57IdentityRestoreV2:tensors:57"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_57�
AssignVariableOp_57AssignVariableOp/assignvariableop_57_batch_normalization_11_betaIdentity_57:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_57n
Identity_58IdentityRestoreV2:tensors:58"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_58�
AssignVariableOp_58AssignVariableOp6assignvariableop_58_batch_normalization_11_moving_meanIdentity_58:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_58n
Identity_59IdentityRestoreV2:tensors:59"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_59�
AssignVariableOp_59AssignVariableOp:assignvariableop_59_batch_normalization_11_moving_varianceIdentity_59:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_59n
Identity_60IdentityRestoreV2:tensors:60"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_60�
AssignVariableOp_60AssignVariableOp$assignvariableop_60_conv2d_12_kernelIdentity_60:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_60n
Identity_61IdentityRestoreV2:tensors:61"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_61�
AssignVariableOp_61AssignVariableOp0assignvariableop_61_batch_normalization_12_gammaIdentity_61:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_61n
Identity_62IdentityRestoreV2:tensors:62"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_62�
AssignVariableOp_62AssignVariableOp/assignvariableop_62_batch_normalization_12_betaIdentity_62:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_62n
Identity_63IdentityRestoreV2:tensors:63"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_63�
AssignVariableOp_63AssignVariableOp6assignvariableop_63_batch_normalization_12_moving_meanIdentity_63:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_63n
Identity_64IdentityRestoreV2:tensors:64"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_64�
AssignVariableOp_64AssignVariableOp:assignvariableop_64_batch_normalization_12_moving_varianceIdentity_64:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_64n
Identity_65IdentityRestoreV2:tensors:65"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_65�
AssignVariableOp_65AssignVariableOp$assignvariableop_65_conv2d_13_kernelIdentity_65:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_65n
Identity_66IdentityRestoreV2:tensors:66"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_66�
AssignVariableOp_66AssignVariableOp0assignvariableop_66_batch_normalization_13_gammaIdentity_66:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_66n
Identity_67IdentityRestoreV2:tensors:67"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_67�
AssignVariableOp_67AssignVariableOp/assignvariableop_67_batch_normalization_13_betaIdentity_67:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_67n
Identity_68IdentityRestoreV2:tensors:68"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_68�
AssignVariableOp_68AssignVariableOp6assignvariableop_68_batch_normalization_13_moving_meanIdentity_68:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_68n
Identity_69IdentityRestoreV2:tensors:69"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_69�
AssignVariableOp_69AssignVariableOp:assignvariableop_69_batch_normalization_13_moving_varianceIdentity_69:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_69n
Identity_70IdentityRestoreV2:tensors:70"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_70�
AssignVariableOp_70AssignVariableOp$assignvariableop_70_conv2d_14_kernelIdentity_70:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_70n
Identity_71IdentityRestoreV2:tensors:71"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_71�
AssignVariableOp_71AssignVariableOp0assignvariableop_71_batch_normalization_14_gammaIdentity_71:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_71n
Identity_72IdentityRestoreV2:tensors:72"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_72�
AssignVariableOp_72AssignVariableOp/assignvariableop_72_batch_normalization_14_betaIdentity_72:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_72n
Identity_73IdentityRestoreV2:tensors:73"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_73�
AssignVariableOp_73AssignVariableOp6assignvariableop_73_batch_normalization_14_moving_meanIdentity_73:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_73n
Identity_74IdentityRestoreV2:tensors:74"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_74�
AssignVariableOp_74AssignVariableOp:assignvariableop_74_batch_normalization_14_moving_varianceIdentity_74:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_74n
Identity_75IdentityRestoreV2:tensors:75"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_75�
AssignVariableOp_75AssignVariableOp$assignvariableop_75_conv2d_15_kernelIdentity_75:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_75n
Identity_76IdentityRestoreV2:tensors:76"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_76�
AssignVariableOp_76AssignVariableOp0assignvariableop_76_batch_normalization_15_gammaIdentity_76:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_76n
Identity_77IdentityRestoreV2:tensors:77"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_77�
AssignVariableOp_77AssignVariableOp/assignvariableop_77_batch_normalization_15_betaIdentity_77:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_77n
Identity_78IdentityRestoreV2:tensors:78"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_78�
AssignVariableOp_78AssignVariableOp6assignvariableop_78_batch_normalization_15_moving_meanIdentity_78:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_78n
Identity_79IdentityRestoreV2:tensors:79"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_79�
AssignVariableOp_79AssignVariableOp:assignvariableop_79_batch_normalization_15_moving_varianceIdentity_79:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_79n
Identity_80IdentityRestoreV2:tensors:80"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_80�
AssignVariableOp_80AssignVariableOp$assignvariableop_80_conv2d_16_kernelIdentity_80:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_80n
Identity_81IdentityRestoreV2:tensors:81"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_81�
AssignVariableOp_81AssignVariableOp0assignvariableop_81_batch_normalization_16_gammaIdentity_81:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_81n
Identity_82IdentityRestoreV2:tensors:82"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_82�
AssignVariableOp_82AssignVariableOp/assignvariableop_82_batch_normalization_16_betaIdentity_82:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_82n
Identity_83IdentityRestoreV2:tensors:83"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_83�
AssignVariableOp_83AssignVariableOp6assignvariableop_83_batch_normalization_16_moving_meanIdentity_83:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_83n
Identity_84IdentityRestoreV2:tensors:84"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_84�
AssignVariableOp_84AssignVariableOp:assignvariableop_84_batch_normalization_16_moving_varianceIdentity_84:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_84n
Identity_85IdentityRestoreV2:tensors:85"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_85�
AssignVariableOp_85AssignVariableOp$assignvariableop_85_conv2d_17_kernelIdentity_85:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_85n
Identity_86IdentityRestoreV2:tensors:86"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_86�
AssignVariableOp_86AssignVariableOp0assignvariableop_86_batch_normalization_17_gammaIdentity_86:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_86n
Identity_87IdentityRestoreV2:tensors:87"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_87�
AssignVariableOp_87AssignVariableOp/assignvariableop_87_batch_normalization_17_betaIdentity_87:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_87n
Identity_88IdentityRestoreV2:tensors:88"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_88�
AssignVariableOp_88AssignVariableOp6assignvariableop_88_batch_normalization_17_moving_meanIdentity_88:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_88n
Identity_89IdentityRestoreV2:tensors:89"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_89�
AssignVariableOp_89AssignVariableOp:assignvariableop_89_batch_normalization_17_moving_varianceIdentity_89:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_89n
Identity_90IdentityRestoreV2:tensors:90"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_90�
AssignVariableOp_90AssignVariableOp$assignvariableop_90_conv2d_18_kernelIdentity_90:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_90n
Identity_91IdentityRestoreV2:tensors:91"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_91�
AssignVariableOp_91AssignVariableOp0assignvariableop_91_batch_normalization_18_gammaIdentity_91:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_91n
Identity_92IdentityRestoreV2:tensors:92"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_92�
AssignVariableOp_92AssignVariableOp/assignvariableop_92_batch_normalization_18_betaIdentity_92:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_92n
Identity_93IdentityRestoreV2:tensors:93"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_93�
AssignVariableOp_93AssignVariableOp6assignvariableop_93_batch_normalization_18_moving_meanIdentity_93:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_93n
Identity_94IdentityRestoreV2:tensors:94"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_94�
AssignVariableOp_94AssignVariableOp:assignvariableop_94_batch_normalization_18_moving_varianceIdentity_94:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_94n
Identity_95IdentityRestoreV2:tensors:95"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_95�
AssignVariableOp_95AssignVariableOp$assignvariableop_95_conv2d_20_kernelIdentity_95:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_95n
Identity_96IdentityRestoreV2:tensors:96"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_96�
AssignVariableOp_96AssignVariableOp0assignvariableop_96_batch_normalization_20_gammaIdentity_96:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_96n
Identity_97IdentityRestoreV2:tensors:97"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_97�
AssignVariableOp_97AssignVariableOp/assignvariableop_97_batch_normalization_20_betaIdentity_97:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_97n
Identity_98IdentityRestoreV2:tensors:98"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_98�
AssignVariableOp_98AssignVariableOp6assignvariableop_98_batch_normalization_20_moving_meanIdentity_98:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_98n
Identity_99IdentityRestoreV2:tensors:99"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_99�
AssignVariableOp_99AssignVariableOp:assignvariableop_99_batch_normalization_20_moving_varianceIdentity_99:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_99q
Identity_100IdentityRestoreV2:tensors:100"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_100�
AssignVariableOp_100AssignVariableOp%assignvariableop_100_conv2d_19_kernelIdentity_100:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_100q
Identity_101IdentityRestoreV2:tensors:101"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_101�
AssignVariableOp_101AssignVariableOp1assignvariableop_101_batch_normalization_19_gammaIdentity_101:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_101q
Identity_102IdentityRestoreV2:tensors:102"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_102�
AssignVariableOp_102AssignVariableOp0assignvariableop_102_batch_normalization_19_betaIdentity_102:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_102q
Identity_103IdentityRestoreV2:tensors:103"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_103�
AssignVariableOp_103AssignVariableOp7assignvariableop_103_batch_normalization_19_moving_meanIdentity_103:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_103q
Identity_104IdentityRestoreV2:tensors:104"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_104�
AssignVariableOp_104AssignVariableOp;assignvariableop_104_batch_normalization_19_moving_varianceIdentity_104:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_104q
Identity_105IdentityRestoreV2:tensors:105"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_105�
AssignVariableOp_105AssignVariableOp%assignvariableop_105_conv2d_21_kernelIdentity_105:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_105q
Identity_106IdentityRestoreV2:tensors:106"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_106�
AssignVariableOp_106AssignVariableOp1assignvariableop_106_batch_normalization_21_gammaIdentity_106:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_106q
Identity_107IdentityRestoreV2:tensors:107"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_107�
AssignVariableOp_107AssignVariableOp0assignvariableop_107_batch_normalization_21_betaIdentity_107:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_107q
Identity_108IdentityRestoreV2:tensors:108"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_108�
AssignVariableOp_108AssignVariableOp7assignvariableop_108_batch_normalization_21_moving_meanIdentity_108:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_108q
Identity_109IdentityRestoreV2:tensors:109"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_109�
AssignVariableOp_109AssignVariableOp;assignvariableop_109_batch_normalization_21_moving_varianceIdentity_109:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_109q
Identity_110IdentityRestoreV2:tensors:110"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_110�
AssignVariableOp_110AssignVariableOp%assignvariableop_110_conv2d_22_kernelIdentity_110:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_110q
Identity_111IdentityRestoreV2:tensors:111"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_111�
AssignVariableOp_111AssignVariableOp#assignvariableop_111_conv2d_22_biasIdentity_111:output:0"
/device:CPU:0*
_output_shapes
*
dtype02
AssignVariableOp_1119
NoOpNoOp"
/device:CPU:0*
_output_shapes
2
NoOp�
Identity_112Identityfile_prefix^AssignVariableOp^AssignVariableOp_1^AssignVariableOp_10^AssignVariableOp_100^AssignVariableOp_101^AssignVariableOp_102^AssignVariableOp_103^AssignVariableOp_104^AssignVariableOp_105^AssignVariableOp_106^AssignVariableOp_107^AssignVariableOp_108^AssignVariableOp_109^AssignVariableOp_11^AssignVariableOp_110^AssignVariableOp_111^AssignVariableOp_12^AssignVariableOp_13^AssignVariableOp_14^AssignVariableOp_15^AssignVariableOp_16^AssignVariableOp_17^AssignVariableOp_18^AssignVariableOp_19^AssignVariableOp_2^AssignVariableOp_20^AssignVariableOp_21^AssignVariableOp_22^AssignVariableOp_23^AssignVariableOp_24^AssignVariableOp_25^AssignVariableOp_26^AssignVariableOp_27^AssignVariableOp_28^AssignVariableOp_29^AssignVariableOp_3^AssignVariableOp_30^AssignVariableOp_31^AssignVariableOp_32^AssignVariableOp_33^AssignVariableOp_34^AssignVariableOp_35^AssignVariableOp_36^AssignVariableOp_37^AssignVariableOp_38^AssignVariableOp_39^AssignVariableOp_4^AssignVariableOp_40^AssignVariableOp_41^AssignVariableOp_42^AssignVariableOp_43^AssignVariableOp_44^AssignVariableOp_45^AssignVariableOp_46^AssignVariableOp_47^AssignVariableOp_48^AssignVariableOp_49^AssignVariableOp_5^AssignVariableOp_50^AssignVariableOp_51^AssignVariableOp_52^AssignVariableOp_53^AssignVariableOp_54^AssignVariableOp_55^AssignVariableOp_56^AssignVariableOp_57^AssignVariableOp_58^AssignVariableOp_59^AssignVariableOp_6^AssignVariableOp_60^AssignVariableOp_61^AssignVariableOp_62^AssignVariableOp_63^AssignVariableOp_64^AssignVariableOp_65^AssignVariableOp_66^AssignVariableOp_67^AssignVariableOp_68^AssignVariableOp_69^AssignVariableOp_7^AssignVariableOp_70^AssignVariableOp_71^AssignVariableOp_72^AssignVariableOp_73^AssignVariableOp_74^AssignVariableOp_75^AssignVariableOp_76^AssignVariableOp_77^AssignVariableOp_78^AssignVariableOp_79^AssignVariableOp_8^AssignVariableOp_80^AssignVariableOp_81^AssignVariableOp_82^AssignVariableOp_83^AssignVariableOp_84^AssignVariableOp_85^AssignVariableOp_86^AssignVariableOp_87^AssignVariableOp_88^AssignVariableOp_89^AssignVariableOp_9^AssignVariableOp_90^AssignVariableOp_91^AssignVariableOp_92^AssignVariableOp_93^AssignVariableOp_94^AssignVariableOp_95^AssignVariableOp_96^AssignVariableOp_97^AssignVariableOp_98^AssignVariableOp_99^NoOp"
/device:CPU:0*
T0*
_output_shapes
:2
Identity_112�
Identity_113IdentityIdentity_112:output:0^AssignVariableOp^AssignVariableOp_1^AssignVariableOp_10^AssignVariableOp_100^AssignVariableOp_101^AssignVariableOp_102^AssignVariableOp_103^AssignVariableOp_104^AssignVariableOp_105^AssignVariableOp_106^AssignVariableOp_107^AssignVariableOp_108^AssignVariableOp_109^AssignVariableOp_11^AssignVariableOp_110^AssignVariableOp_111^AssignVariableOp_12^AssignVariableOp_13^AssignVariableOp_14^AssignVariableOp_15^AssignVariableOp_16^AssignVariableOp_17^AssignVariableOp_18^AssignVariableOp_19^AssignVariableOp_2^AssignVariableOp_20^AssignVariableOp_21^AssignVariableOp_22^AssignVariableOp_23^AssignVariableOp_24^AssignVariableOp_25^AssignVariableOp_26^AssignVariableOp_27^AssignVariableOp_28^AssignVariableOp_29^AssignVariableOp_3^AssignVariableOp_30^AssignVariableOp_31^AssignVariableOp_32^AssignVariableOp_33^AssignVariableOp_34^AssignVariableOp_35^AssignVariableOp_36^AssignVariableOp_37^AssignVariableOp_38^AssignVariableOp_39^AssignVariableOp_4^AssignVariableOp_40^AssignVariableOp_41^AssignVariableOp_42^AssignVariableOp_43^AssignVariableOp_44^AssignVariableOp_45^AssignVariableOp_46^AssignVariableOp_47^AssignVariableOp_48^AssignVariableOp_49^AssignVariableOp_5^AssignVariableOp_50^AssignVariableOp_51^AssignVariableOp_52^AssignVariableOp_53^AssignVariableOp_54^AssignVariableOp_55^AssignVariableOp_56^AssignVariableOp_57^AssignVariableOp_58^AssignVariableOp_59^AssignVariableOp_6^AssignVariableOp_60^AssignVariableOp_61^AssignVariableOp_62^AssignVariableOp_63^AssignVariableOp_64^AssignVariableOp_65^AssignVariableOp_66^AssignVariableOp_67^AssignVariableOp_68^AssignVariableOp_69^AssignVariableOp_7^AssignVariableOp_70^AssignVariableOp_71^AssignVariableOp_72^AssignVariableOp_73^AssignVariableOp_74^AssignVariableOp_75^AssignVariableOp_76^AssignVariableOp_77^AssignVariableOp_78^AssignVariableOp_79^AssignVariableOp_8^AssignVariableOp_80^AssignVariableOp_81^AssignVariableOp_82^AssignVariableOp_83^AssignVariableOp_84^AssignVariableOp_85^AssignVariableOp_86^AssignVariableOp_87^AssignVariableOp_88^AssignVariableOp_89^AssignVariableOp_9^AssignVariableOp_90^AssignVariableOp_91^AssignVariableOp_92^AssignVariableOp_93^AssignVariableOp_94^AssignVariableOp_95^AssignVariableOp_96^AssignVariableOp_97^AssignVariableOp_98^AssignVariableOp_99*
T0*
_output_shapes
:2
Identity_113"%
identity_113Identity_113:output:0*�

_input_shapes�
�:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::2$
AssignVariableOpAssignVariableOp2(
AssignVariableOp_1AssignVariableOp_12*
AssignVariableOp_10AssignVariableOp_102,
AssignVariableOp_100AssignVariableOp_1002,
AssignVariableOp_101AssignVariableOp_1012,
AssignVariableOp_102AssignVariableOp_1022,
AssignVariableOp_103AssignVariableOp_1032,
AssignVariableOp_104AssignVariableOp_1042,
AssignVariableOp_105AssignVariableOp_1052,
AssignVariableOp_106AssignVariableOp_1062,
AssignVariableOp_107AssignVariableOp_1072,
AssignVariableOp_108AssignVariableOp_1082,
AssignVariableOp_109AssignVariableOp_1092*
AssignVariableOp_11AssignVariableOp_112,
AssignVariableOp_110AssignVariableOp_1102,
AssignVariableOp_111AssignVariableOp_1112*
AssignVariableOp_12AssignVariableOp_122*
AssignVariableOp_13AssignVariableOp_132*
AssignVariableOp_14AssignVariableOp_142*
AssignVariableOp_15AssignVariableOp_152*
AssignVariableOp_16AssignVariableOp_162*
AssignVariableOp_17AssignVariableOp_172*
AssignVariableOp_18AssignVariableOp_182*
AssignVariableOp_19AssignVariableOp_192(
AssignVariableOp_2AssignVariableOp_22*
AssignVariableOp_20AssignVariableOp_202*
AssignVariableOp_21AssignVariableOp_212*
AssignVariableOp_22AssignVariableOp_222*
AssignVariableOp_23AssignVariableOp_232*
AssignVariableOp_24AssignVariableOp_242*
AssignVariableOp_25AssignVariableOp_252*
AssignVariableOp_26AssignVariableOp_262*
AssignVariableOp_27AssignVariableOp_272*
AssignVariableOp_28AssignVariableOp_282*
AssignVariableOp_29AssignVariableOp_292(
AssignVariableOp_3AssignVariableOp_32*
AssignVariableOp_30AssignVariableOp_302*
AssignVariableOp_31AssignVariableOp_312*
AssignVariableOp_32AssignVariableOp_322*
AssignVariableOp_33AssignVariableOp_332*
AssignVariableOp_34AssignVariableOp_342*
AssignVariableOp_35AssignVariableOp_352*
AssignVariableOp_36AssignVariableOp_362*
AssignVariableOp_37AssignVariableOp_372*
AssignVariableOp_38AssignVariableOp_382*
AssignVariableOp_39AssignVariableOp_392(
AssignVariableOp_4AssignVariableOp_42*
AssignVariableOp_40AssignVariableOp_402*
AssignVariableOp_41AssignVariableOp_412*
AssignVariableOp_42AssignVariableOp_422*
AssignVariableOp_43AssignVariableOp_432*
AssignVariableOp_44AssignVariableOp_442*
AssignVariableOp_45AssignVariableOp_452*
AssignVariableOp_46AssignVariableOp_462*
AssignVariableOp_47AssignVariableOp_472*
AssignVariableOp_48AssignVariableOp_482*
AssignVariableOp_49AssignVariableOp_492(
AssignVariableOp_5AssignVariableOp_52*
AssignVariableOp_50AssignVariableOp_502*
AssignVariableOp_51AssignVariableOp_512*
AssignVariableOp_52AssignVariableOp_522*
AssignVariableOp_53AssignVariableOp_532*
AssignVariableOp_54AssignVariableOp_542*
AssignVariableOp_55AssignVariableOp_552*
AssignVariableOp_56AssignVariableOp_562*
AssignVariableOp_57AssignVariableOp_572*
AssignVariableOp_58AssignVariableOp_582*
AssignVariableOp_59AssignVariableOp_592(
AssignVariableOp_6AssignVariableOp_62*
AssignVariableOp_60AssignVariableOp_602*
AssignVariableOp_61AssignVariableOp_612*
AssignVariableOp_62AssignVariableOp_622*
AssignVariableOp_63AssignVariableOp_632*
AssignVariableOp_64AssignVariableOp_642*
AssignVariableOp_65AssignVariableOp_652*
AssignVariableOp_66AssignVariableOp_662*
AssignVariableOp_67AssignVariableOp_672*
AssignVariableOp_68AssignVariableOp_682*
AssignVariableOp_69AssignVariableOp_692(
AssignVariableOp_7AssignVariableOp_72*
AssignVariableOp_70AssignVariableOp_702*
AssignVariableOp_71AssignVariableOp_712*
AssignVariableOp_72AssignVariableOp_722*
AssignVariableOp_73AssignVariableOp_732*
AssignVariableOp_74AssignVariableOp_742*
AssignVariableOp_75AssignVariableOp_752*
AssignVariableOp_76AssignVariableOp_762*
AssignVariableOp_77AssignVariableOp_772*
AssignVariableOp_78AssignVariableOp_782*
AssignVariableOp_79AssignVariableOp_792(
AssignVariableOp_8AssignVariableOp_82*
AssignVariableOp_80AssignVariableOp_802*
AssignVariableOp_81AssignVariableOp_812*
AssignVariableOp_82AssignVariableOp_822*
AssignVariableOp_83AssignVariableOp_832*
AssignVariableOp_84AssignVariableOp_842*
AssignVariableOp_85AssignVariableOp_852*
AssignVariableOp_86AssignVariableOp_862*
AssignVariableOp_87AssignVariableOp_872*
AssignVariableOp_88AssignVariableOp_882*
AssignVariableOp_89AssignVariableOp_892(
AssignVariableOp_9AssignVariableOp_92*
AssignVariableOp_90AssignVariableOp_902*
AssignVariableOp_91AssignVariableOp_912*
AssignVariableOp_92AssignVariableOp_922*
AssignVariableOp_93AssignVariableOp_932*
AssignVariableOp_94AssignVariableOp_942*
AssignVariableOp_95AssignVariableOp_952*
AssignVariableOp_96AssignVariableOp_962*
AssignVariableOp_97AssignVariableOp_972*
AssignVariableOp_98AssignVariableOp_982*
AssignVariableOp_99AssignVariableOp_99:C?

_output_shapes
:
%
_user_specified_name
file_prefix
�
�
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:jf
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:YU
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�:XT
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.
,:����������:::::XT
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:XT
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*
valueB
*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

GPU2J8�*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:XT
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

GPU2J8�*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:XT
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

GPU2J8�*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:jf
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*
valueB
*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"
 :����������::XT
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!
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:ie
A
_output_shapes/
-:+���������������������������@
 
_user_specified_nameinputs
��
�A
G__inference_functional_1_layer_call_and_return_conditional_losses_10260

inputs)
%conv2d_conv2d_readvariableop_resource/
+batch_normalization_readvariableop_resource1
-batch_normalization_readvariableop_1_resource@
<batch_normalization_fusedbatchnormv3_readvariableop_resourceB
>batch_normalization_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_1_conv2d_readvariableop_resource1
-batch_normalization_1_readvariableop_resource3
/batch_normalization_1_readvariableop_1_resourceB
>batch_normalization_1_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_1_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_2_conv2d_readvariableop_resource1
-batch_normalization_2_readvariableop_resource3
/batch_normalization_2_readvariableop_1_resourceB
>batch_normalization_2_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_2_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_3_conv2d_readvariableop_resource1
-batch_normalization_3_readvariableop_resource3
/batch_normalization_3_readvariableop_1_resourceB
>batch_normalization_3_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_3_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_4_conv2d_readvariableop_resource1
-batch_normalization_4_readvariableop_resource3
/batch_normalization_4_readvariableop_1_resourceB
>batch_normalization_4_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_4_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_5_conv2d_readvariableop_resource1
-batch_normalization_5_readvariableop_resource3
/batch_normalization_5_readvariableop_1_resourceB
>batch_normalization_5_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_5_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_6_conv2d_readvariableop_resource1
-batch_normalization_6_readvariableop_resource3
/batch_normalization_6_readvariableop_1_resourceB
>batch_normalization_6_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_6_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_7_conv2d_readvariableop_resource1
-batch_normalization_7_readvariableop_resource3
/batch_normalization_7_readvariableop_1_resourceB
>batch_normalization_7_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_7_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_8_conv2d_readvariableop_resource1
-batch_normalization_8_readvariableop_resource3
/batch_normalization_8_readvariableop_1_resourceB
>batch_normalization_8_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_8_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_9_conv2d_readvariableop_resource1
-batch_normalization_9_readvariableop_resource3
/batch_normalization_9_readvariableop_1_resourceB
>batch_normalization_9_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_9_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_10_conv2d_readvariableop_resource2
.batch_normalization_10_readvariableop_resource4
0batch_normalization_10_readvariableop_1_resourceC
?batch_normalization_10_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_10_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_11_conv2d_readvariableop_resource2
.batch_normalization_11_readvariableop_resource4
0batch_normalization_11_readvariableop_1_resourceC
?batch_normalization_11_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_11_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_12_conv2d_readvariableop_resource2
.batch_normalization_12_readvariableop_resource4
0batch_normalization_12_readvariableop_1_resourceC
?batch_normalization_12_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_12_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_13_conv2d_readvariableop_resource2
.batch_normalization_13_readvariableop_resource4
0batch_normalization_13_readvariableop_1_resourceC
?batch_normalization_13_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_13_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_14_conv2d_readvariableop_resource2
.batch_normalization_14_readvariableop_resource4
0batch_normalization_14_readvariableop_1_resourceC
?batch_normalization_14_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_14_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_15_conv2d_readvariableop_resource2
.batch_normalization_15_readvariableop_resource4
0batch_normalization_15_readvariableop_1_resourceC
?batch_normalization_15_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_15_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_16_conv2d_readvariableop_resource2
.batch_normalization_16_readvariableop_resource4
0batch_normalization_16_readvariableop_1_resourceC
?batch_normalization_16_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_16_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_17_conv2d_readvariableop_resource2
.batch_normalization_17_readvariableop_resource4
0batch_normalization_17_readvariableop_1_resourceC
?batch_normalization_17_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_17_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_18_conv2d_readvariableop_resource2
.batch_normalization_18_readvariableop_resource4
0batch_normalization_18_readvariableop_1_resourceC
?batch_normalization_18_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_18_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_20_conv2d_readvariableop_resource,
(conv2d_19_conv2d_readvariableop_resource2
.batch_normalization_20_readvariableop_resource4
0batch_normalization_20_readvariableop_1_resourceC
?batch_normalization_20_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_20_fusedbatchnormv3_readvariableop_1_resource2
.batch_normalization_19_readvariableop_resource4
0batch_normalization_19_readvariableop_1_resourceC
?batch_normalization_19_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_19_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_21_conv2d_readvariableop_resource2
.batch_normalization_21_readvariableop_resource4
0batch_normalization_21_readvariableop_1_resourceC
?batch_normalization_21_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_21_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_22_conv2d_readvariableop_resource-
)conv2d_22_biasadd_readvariableop_resource
identity��"batch_normalization/AssignNewValue�$batch_normalization/AssignNewValue_1�$batch_normalization_1/AssignNewValue�&batch_normalization_1/AssignNewValue_1�%batch_normalization_10/AssignNewValue�'batch_normalization_10/AssignNewValue_1�%batch_normalization_11/AssignNewValue�'batch_normalization_11/AssignNewValue_1�%batch_normalization_12/AssignNewValue�'batch_normalization_12/AssignNewValue_1�%batch_normalization_13/AssignNewValue�'batch_normalization_13/AssignNewValue_1�%batch_normalization_14/AssignNewValue�'batch_normalization_14/AssignNewValue_1�%batch_normalization_15/AssignNewValue�'batch_normalization_15/AssignNewValue_1�%batch_normalization_16/AssignNewValue�'batch_normalization_16/AssignNewValue_1�%batch_normalization_17/AssignNewValue�'batch_normalization_17/AssignNewValue_1�%batch_normalization_18/AssignNewValue�'batch_normalization_18/AssignNewValue_1�%batch_normalization_19/AssignNewValue�'batch_normalization_19/AssignNewValue_1�$batch_normalization_2/AssignNewValue�&batch_normalization_2/AssignNewValue_1�%batch_normalization_20/AssignNewValue�'batch_normalization_20/AssignNewValue_1�%batch_normalization_21/AssignNewValue�'batch_normalization_21/AssignNewValue_1�$batch_normalization_3/AssignNewValue�&batch_normalization_3/AssignNewValue_1�$batch_normalization_4/AssignNewValue�&batch_normalization_4/AssignNewValue_1�$batch_normalization_5/AssignNewValue�&batch_normalization_5/AssignNewValue_1�$batch_normalization_6/AssignNewValue�&batch_normalization_6/AssignNewValue_1�$batch_normalization_7/AssignNewValue�&batch_normalization_7/AssignNewValue_1�$batch_normalization_8/AssignNewValue�&batch_normalization_8/AssignNewValue_1�$batch_normalization_9/AssignNewValue�&batch_normalization_9/AssignNewValue_1�
conv2d/Conv2D/ReadVariableOpReadVariableOp%conv2d_conv2d_readvariableop_resource*&
_output_shapes
: *
dtype02
conv2d/Conv2D/ReadVariableOp�

conv2d/Conv2DConv2Dinputs$conv2d/Conv2D/ReadVariableOp:value:0*
T0*1
_output_shapes
:����������� *
paddingSAME*
strides
2

conv2d/Conv2D�
"batch_normalization/ReadVariableOpReadVariableOp+batch_normalization_readvariableop_resource*
_output_shapes
: *
dtype02$
"batch_normalization/ReadVariableOp�
$batch_normalization/ReadVariableOp_1ReadVariableOp-batch_normalization_readvariableop_1_resource*
_output_shapes
: *
dtype02&
$batch_normalization/ReadVariableOp_1�
3batch_normalization/FusedBatchNormV3/ReadVariableOpReadVariableOp<batch_normalization_fusedbatchnormv3_readvariableop_resource*
_output_shapes
: *
dtype025
3batch_normalization/FusedBatchNormV3/ReadVariableOp�
5batch_normalization/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp>batch_normalization_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes
: *
dtype027
5batch_normalization/FusedBatchNormV3/ReadVariableOp_1�
$batch_normalization/FusedBatchNormV3FusedBatchNormV3conv2d/Conv2D:output:0*batch_normalization/ReadVariableOp:value:0,batch_normalization/ReadVariableOp_1:value:0;batch_normalization/FusedBatchNormV3/ReadVariableOp:value:0=batch_normalization/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*M
_output_shapes;
9:����������� : : : : :*
epsilon%o�:*
exponential_avg_factor%
�#<2&
$batch_normalization/FusedBatchNormV3�
"batch_normalization/AssignNewValueAssignVariableOp<batch_normalization_fusedbatchnormv3_readvariableop_resource1batch_normalization/FusedBatchNormV3:batch_mean:04^batch_normalization/FusedBatchNormV3/ReadVariableOp*O
_classE
CAloc:@batch_normalization/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02$
"batch_normalization/AssignNewValue�
$batch_normalization/AssignNewValue_1AssignVariableOp>batch_normalization_fusedbatchnormv3_readvariableop_1_resource5batch_normalization/FusedBatchNormV3:batch_variance:06^batch_normalization/FusedBatchNormV3/ReadVariableOp_1*Q
_classG
ECloc:@batch_normalization/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02&
$batch_normalization/AssignNewValue_1�
leaky_re_lu/LeakyRelu	LeakyRelu(batch_normalization/FusedBatchNormV3:y:0*1
_output_shapes
:����������� *
alpha%���=2
leaky_re_lu/LeakyRelu�
max_pooling2d/MaxPoolMaxPool#leaky_re_lu/LeakyRelu:activations:0*1
_output_shapes
:����������� *
ksize
*
paddingSAME*
strides
2
max_pooling2d/MaxPool�
conv2d_1/Conv2D/ReadVariableOpReadVariableOp'conv2d_1_conv2d_readvariableop_resource*&
_output_shapes
: @*
dtype02 
conv2d_1/Conv2D/ReadVariableOp�
conv2d_1/Conv2DConv2Dmax_pooling2d/MaxPool:output:0&conv2d_1/Conv2D/ReadVariableOp:value:0*
T0*1
_output_shapes
:�����������@*
paddingSAME*
strides
2
conv2d_1/Conv2D�
$batch_normalization_1/ReadVariableOpReadVariableOp-batch_normalization_1_readvariableop_resource*
_output_shapes
:@*
dtype02&
$batch_normalization_1/ReadVariableOp�
&batch_normalization_1/ReadVariableOp_1ReadVariableOp/batch_normalization_1_readvariableop_1_resource*
_output_shapes
:@*
dtype02(
&batch_normalization_1/ReadVariableOp_1�
5batch_normalization_1/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_1_fusedbatchnormv3_readvariableop_resource*
_output_shapes
:@*
dtype027
5batch_normalization_1/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_1/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_1_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes
:@*
dtype029
7batch_normalization_1/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_1/FusedBatchNormV3FusedBatchNormV3conv2d_1/Conv2D:output:0,batch_normalization_1/ReadVariableOp:value:0.batch_normalization_1/ReadVariableOp_1:value:0=batch_normalization_1/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_1/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*M
_output_shapes;
9:�����������@:@:@:@:@:*
epsilon%o�:*
exponential_avg_factor%
�#<2(
&batch_normalization_1/FusedBatchNormV3�
$batch_normalization_1/AssignNewValueAssignVariableOp>batch_normalization_1_fusedbatchnormv3_readvariableop_resource3batch_normalization_1/FusedBatchNormV3:batch_mean:06^batch_normalization_1/FusedBatchNormV3/ReadVariableOp*Q
_classG
ECloc:@batch_normalization_1/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02&
$batch_normalization_1/AssignNewValue�
&batch_normalization_1/AssignNewValue_1AssignVariableOp@batch_normalization_1_fusedbatchnormv3_readvariableop_1_resource7batch_normalization_1/FusedBatchNormV3:batch_variance:08^batch_normalization_1/FusedBatchNormV3/ReadVariableOp_1*S
_classI
GEloc:@batch_normalization_1/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02(
&batch_normalization_1/AssignNewValue_1�
leaky_re_lu_1/LeakyRelu	LeakyRelu*batch_normalization_1/FusedBatchNormV3:y:0*1
_output_shapes
:�����������@*
alpha%���=2
leaky_re_lu_1/LeakyRelu�
max_pooling2d_1/MaxPoolMaxPool%leaky_re_lu_1/LeakyRelu:activations:0*1
_output_shapes
:�����������@*
ksize
*
paddingSAME*
strides
2
max_pooling2d_1/MaxPool�
conv2d_2/Conv2D/ReadVariableOpReadVariableOp'conv2d_2_conv2d_readvariableop_resource*'
_output_shapes
:@�*
dtype02 
conv2d_2/Conv2D/ReadVariableOp�
conv2d_2/Conv2DConv2D max_pooling2d_1/MaxPool:output:0&conv2d_2/Conv2D/ReadVariableOp:value:0*
T0*2
_output_shapes 
:������������*
paddingSAME*
strides
2
conv2d_2/Conv2D�
$batch_normalization_2/ReadVariableOpReadVariableOp-batch_normalization_2_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_2/ReadVariableOp�
&batch_normalization_2/ReadVariableOp_1ReadVariableOp/batch_normalization_2_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_2/ReadVariableOp_1�
5batch_normalization_2/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_2_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_2/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_2/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_2_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_2/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_2/FusedBatchNormV3FusedBatchNormV3conv2d_2/Conv2D:output:0,batch_normalization_2/ReadVariableOp:value:0.batch_normalization_2/ReadVariableOp_1:value:0=batch_normalization_2/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_2/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*R
_output_shapes@
>:������������:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2(
&batch_normalization_2/FusedBatchNormV3�
$batch_normalization_2/AssignNewValueAssignVariableOp>batch_normalization_2_fusedbatchnormv3_readvariableop_resource3batch_normalization_2/FusedBatchNormV3:batch_mean:06^batch_normalization_2/FusedBatchNormV3/ReadVariableOp*Q
_classG
ECloc:@batch_normalization_2/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02&
$batch_normalization_2/AssignNewValue�
&batch_normalization_2/AssignNewValue_1AssignVariableOp@batch_normalization_2_fusedbatchnormv3_readvariableop_1_resource7batch_normalization_2/FusedBatchNormV3:batch_variance:08^batch_normalization_2/FusedBatchNormV3/ReadVariableOp_1*S
_classI
GEloc:@batch_normalization_2/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02(
&batch_normalization_2/AssignNewValue_1�
leaky_re_lu_2/LeakyRelu	LeakyRelu*batch_normalization_2/FusedBatchNormV3:y:0*2
_output_shapes 
:������������*
alpha%���=2
leaky_re_lu_2/LeakyRelu�
conv2d_3/Conv2D/ReadVariableOpReadVariableOp'conv2d_3_conv2d_readvariableop_resource*'
_output_shapes
:�@*
dtype02 
conv2d_3/Conv2D/ReadVariableOp�
conv2d_3/Conv2DConv2D%leaky_re_lu_2/LeakyRelu:activations:0&conv2d_3/Conv2D/ReadVariableOp:value:0*
T0*1
_output_shapes
:�����������@*
paddingSAME*
strides
2
conv2d_3/Conv2D�
$batch_normalization_3/ReadVariableOpReadVariableOp-batch_normalization_3_readvariableop_resource*
_output_shapes
:@*
dtype02&
$batch_normalization_3/ReadVariableOp�
&batch_normalization_3/ReadVariableOp_1ReadVariableOp/batch_normalization_3_readvariableop_1_resource*
_output_shapes
:@*
dtype02(
&batch_normalization_3/ReadVariableOp_1�
5batch_normalization_3/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_3_fusedbatchnormv3_readvariableop_resource*
_output_shapes
:@*
dtype027
5batch_normalization_3/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_3/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_3_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes
:@*
dtype029
7batch_normalization_3/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_3/FusedBatchNormV3FusedBatchNormV3conv2d_3/Conv2D:output:0,batch_normalization_3/ReadVariableOp:value:0.batch_normalization_3/ReadVariableOp_1:value:0=batch_normalization_3/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_3/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*M
_output_shapes;
9:�����������@:@:@:@:@:*
epsilon%o�:*
exponential_avg_factor%
�#<2(
&batch_normalization_3/FusedBatchNormV3�
$batch_normalization_3/AssignNewValueAssignVariableOp>batch_normalization_3_fusedbatchnormv3_readvariableop_resource3batch_normalization_3/FusedBatchNormV3:batch_mean:06^batch_normalization_3/FusedBatchNormV3/ReadVariableOp*Q
_classG
ECloc:@batch_normalization_3/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02&
$batch_normalization_3/AssignNewValue�
&batch_normalization_3/AssignNewValue_1AssignVariableOp@batch_normalization_3_fusedbatchnormv3_readvariableop_1_resource7batch_normalization_3/FusedBatchNormV3:batch_variance:08^batch_normalization_3/FusedBatchNormV3/ReadVariableOp_1*S
_classI
GEloc:@batch_normalization_3/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02(
&batch_normalization_3/AssignNewValue_1�
leaky_re_lu_3/LeakyRelu	LeakyRelu*batch_normalization_3/FusedBatchNormV3:y:0*1
_output_shapes
:�����������@*
alpha%���=2
leaky_re_lu_3/LeakyRelu�
conv2d_4/Conv2D/ReadVariableOpReadVariableOp'conv2d_4_conv2d_readvariableop_resource*'
_output_shapes
:@�*
dtype02 
conv2d_4/Conv2D/ReadVariableOp�
conv2d_4/Conv2DConv2D%leaky_re_lu_3/LeakyRelu:activations:0&conv2d_4/Conv2D/ReadVariableOp:value:0*
T0*2
_output_shapes 
:������������*
paddingSAME*
strides
2
conv2d_4/Conv2D�
$batch_normalization_4/ReadVariableOpReadVariableOp-batch_normalization_4_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_4/ReadVariableOp�
&batch_normalization_4/ReadVariableOp_1ReadVariableOp/batch_normalization_4_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_4/ReadVariableOp_1�
5batch_normalization_4/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_4_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_4/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_4/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_4_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_4/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_4/FusedBatchNormV3FusedBatchNormV3conv2d_4/Conv2D:output:0,batch_normalization_4/ReadVariableOp:value:0.batch_normalization_4/ReadVariableOp_1:value:0=batch_normalization_4/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_4/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*R
_output_shapes@
>:������������:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2(
&batch_normalization_4/FusedBatchNormV3�
$batch_normalization_4/AssignNewValueAssignVariableOp>batch_normalization_4_fusedbatchnormv3_readvariableop_resource3batch_normalization_4/FusedBatchNormV3:batch_mean:06^batch_normalization_4/FusedBatchNormV3/ReadVariableOp*Q
_classG
ECloc:@batch_normalization_4/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02&
$batch_normalization_4/AssignNewValue�
&batch_normalization_4/AssignNewValue_1AssignVariableOp@batch_normalization_4_fusedbatchnormv3_readvariableop_1_resource7batch_normalization_4/FusedBatchNormV3:batch_variance:08^batch_normalization_4/FusedBatchNormV3/ReadVariableOp_1*S
_classI
GEloc:@batch_normalization_4/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02(
&batch_normalization_4/AssignNewValue_1�
leaky_re_lu_4/LeakyRelu	LeakyRelu*batch_normalization_4/FusedBatchNormV3:y:0*2
_output_shapes 
:������������*
alpha%���=2
leaky_re_lu_4/LeakyRelu�
max_pooling2d_2/MaxPoolMaxPool%leaky_re_lu_4/LeakyRelu:activations:0*0
_output_shapes
:���������LL�*
ksize
*
paddingSAME*
strides
2
max_pooling2d_2/MaxPool�
conv2d_5/Conv2D/ReadVariableOpReadVariableOp'conv2d_5_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02 
conv2d_5/Conv2D/ReadVariableOp�
conv2d_5/Conv2DConv2D max_pooling2d_2/MaxPool:output:0&conv2d_5/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������LL�*
paddingSAME*
strides
2
conv2d_5/Conv2D�
$batch_normalization_5/ReadVariableOpReadVariableOp-batch_normalization_5_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_5/ReadVariableOp�
&batch_normalization_5/ReadVariableOp_1ReadVariableOp/batch_normalization_5_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_5/ReadVariableOp_1�
5batch_normalization_5/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_5_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_5/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_5/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_5_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_5/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_5/FusedBatchNormV3FusedBatchNormV3conv2d_5/Conv2D:output:0,batch_normalization_5/ReadVariableOp:value:0.batch_normalization_5/ReadVariableOp_1:value:0=batch_normalization_5/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_5/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������LL�:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2(
&batch_normalization_5/FusedBatchNormV3�
$batch_normalization_5/AssignNewValueAssignVariableOp>batch_normalization_5_fusedbatchnormv3_readvariableop_resource3batch_normalization_5/FusedBatchNormV3:batch_mean:06^batch_normalization_5/FusedBatchNormV3/ReadVariableOp*Q
_classG
ECloc:@batch_normalization_5/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02&
$batch_normalization_5/AssignNewValue�
&batch_normalization_5/AssignNewValue_1AssignVariableOp@batch_normalization_5_fusedbatchnormv3_readvariableop_1_resource7batch_normalization_5/FusedBatchNormV3:batch_variance:08^batch_normalization_5/FusedBatchNormV3/ReadVariableOp_1*S
_classI
GEloc:@batch_normalization_5/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02(
&batch_normalization_5/AssignNewValue_1�
leaky_re_lu_5/LeakyRelu	LeakyRelu*batch_normalization_5/FusedBatchNormV3:y:0*0
_output_shapes
:���������LL�*
alpha%���=2
leaky_re_lu_5/LeakyRelu�
conv2d_6/Conv2D/ReadVariableOpReadVariableOp'conv2d_6_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02 
conv2d_6/Conv2D/ReadVariableOp�
conv2d_6/Conv2DConv2D%leaky_re_lu_5/LeakyRelu:activations:0&conv2d_6/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������LL�*
paddingSAME*
strides
2
conv2d_6/Conv2D�
$batch_normalization_6/ReadVariableOpReadVariableOp-batch_normalization_6_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_6/ReadVariableOp�
&batch_normalization_6/ReadVariableOp_1ReadVariableOp/batch_normalization_6_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_6/ReadVariableOp_1�
5batch_normalization_6/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_6_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_6/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_6/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_6_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_6/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_6/FusedBatchNormV3FusedBatchNormV3conv2d_6/Conv2D:output:0,batch_normalization_6/ReadVariableOp:value:0.batch_normalization_6/ReadVariableOp_1:value:0=batch_normalization_6/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_6/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������LL�:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2(
&batch_normalization_6/FusedBatchNormV3�
$batch_normalization_6/AssignNewValueAssignVariableOp>batch_normalization_6_fusedbatchnormv3_readvariableop_resource3batch_normalization_6/FusedBatchNormV3:batch_mean:06^batch_normalization_6/FusedBatchNormV3/ReadVariableOp*Q
_classG
ECloc:@batch_normalization_6/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02&
$batch_normalization_6/AssignNewValue�
&batch_normalization_6/AssignNewValue_1AssignVariableOp@batch_normalization_6_fusedbatchnormv3_readvariableop_1_resource7batch_normalization_6/FusedBatchNormV3:batch_variance:08^batch_normalization_6/FusedBatchNormV3/ReadVariableOp_1*S
_classI
GEloc:@batch_normalization_6/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02(
&batch_normalization_6/AssignNewValue_1�
leaky_re_lu_6/LeakyRelu	LeakyRelu*batch_normalization_6/FusedBatchNormV3:y:0*0
_output_shapes
:���������LL�*
alpha%���=2
leaky_re_lu_6/LeakyRelu�
conv2d_7/Conv2D/ReadVariableOpReadVariableOp'conv2d_7_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02 
conv2d_7/Conv2D/ReadVariableOp�
conv2d_7/Conv2DConv2D%leaky_re_lu_6/LeakyRelu:activations:0&conv2d_7/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������LL�*
paddingSAME*
strides
2
conv2d_7/Conv2D�
$batch_normalization_7/ReadVariableOpReadVariableOp-batch_normalization_7_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_7/ReadVariableOp�
&batch_normalization_7/ReadVariableOp_1ReadVariableOp/batch_normalization_7_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_7/ReadVariableOp_1�
5batch_normalization_7/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_7_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_7/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_7/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_7_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_7/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_7/FusedBatchNormV3FusedBatchNormV3conv2d_7/Conv2D:output:0,batch_normalization_7/ReadVariableOp:value:0.batch_normalization_7/ReadVariableOp_1:value:0=batch_normalization_7/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_7/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������LL�:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2(
&batch_normalization_7/FusedBatchNormV3�
$batch_normalization_7/AssignNewValueAssignVariableOp>batch_normalization_7_fusedbatchnormv3_readvariableop_resource3batch_normalization_7/FusedBatchNormV3:batch_mean:06^batch_normalization_7/FusedBatchNormV3/ReadVariableOp*Q
_classG
ECloc:@batch_normalization_7/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02&
$batch_normalization_7/AssignNewValue�
&batch_normalization_7/AssignNewValue_1AssignVariableOp@batch_normalization_7_fusedbatchnormv3_readvariableop_1_resource7batch_normalization_7/FusedBatchNormV3:batch_variance:08^batch_normalization_7/FusedBatchNormV3/ReadVariableOp_1*S
_classI
GEloc:@batch_normalization_7/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02(
&batch_normalization_7/AssignNewValue_1�
leaky_re_lu_7/LeakyRelu	LeakyRelu*batch_normalization_7/FusedBatchNormV3:y:0*0
_output_shapes
:���������LL�*
alpha%���=2
leaky_re_lu_7/LeakyRelu�
max_pooling2d_3/MaxPoolMaxPool%leaky_re_lu_7/LeakyRelu:activations:0*0
_output_shapes
:���������&&�*
ksize
*
paddingSAME*
strides
2
max_pooling2d_3/MaxPool�
conv2d_8/Conv2D/ReadVariableOpReadVariableOp'conv2d_8_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02 
conv2d_8/Conv2D/ReadVariableOp�
conv2d_8/Conv2DConv2D max_pooling2d_3/MaxPool:output:0&conv2d_8/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
conv2d_8/Conv2D�
$batch_normalization_8/ReadVariableOpReadVariableOp-batch_normalization_8_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_8/ReadVariableOp�
&batch_normalization_8/ReadVariableOp_1ReadVariableOp/batch_normalization_8_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_8/ReadVariableOp_1�
5batch_normalization_8/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_8_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_8/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_8/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_8_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_8/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_8/FusedBatchNormV3FusedBatchNormV3conv2d_8/Conv2D:output:0,batch_normalization_8/ReadVariableOp:value:0.batch_normalization_8/ReadVariableOp_1:value:0=batch_normalization_8/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_8/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2(
&batch_normalization_8/FusedBatchNormV3�
$batch_normalization_8/AssignNewValueAssignVariableOp>batch_normalization_8_fusedbatchnormv3_readvariableop_resource3batch_normalization_8/FusedBatchNormV3:batch_mean:06^batch_normalization_8/FusedBatchNormV3/ReadVariableOp*Q
_classG
ECloc:@batch_normalization_8/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02&
$batch_normalization_8/AssignNewValue�
&batch_normalization_8/AssignNewValue_1AssignVariableOp@batch_normalization_8_fusedbatchnormv3_readvariableop_1_resource7batch_normalization_8/FusedBatchNormV3:batch_variance:08^batch_normalization_8/FusedBatchNormV3/ReadVariableOp_1*S
_classI
GEloc:@batch_normalization_8/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02(
&batch_normalization_8/AssignNewValue_1�
leaky_re_lu_8/LeakyRelu	LeakyRelu*batch_normalization_8/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2
leaky_re_lu_8/LeakyRelu�
conv2d_9/Conv2D/ReadVariableOpReadVariableOp'conv2d_9_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02 
conv2d_9/Conv2D/ReadVariableOp�
conv2d_9/Conv2DConv2D%leaky_re_lu_8/LeakyRelu:activations:0&conv2d_9/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
conv2d_9/Conv2D�
$batch_normalization_9/ReadVariableOpReadVariableOp-batch_normalization_9_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_9/ReadVariableOp�
&batch_normalization_9/ReadVariableOp_1ReadVariableOp/batch_normalization_9_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_9/ReadVariableOp_1�
5batch_normalization_9/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_9_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_9/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_9/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_9_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_9/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_9/FusedBatchNormV3FusedBatchNormV3conv2d_9/Conv2D:output:0,batch_normalization_9/ReadVariableOp:value:0.batch_normalization_9/ReadVariableOp_1:value:0=batch_normalization_9/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_9/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2(
&batch_normalization_9/FusedBatchNormV3�
$batch_normalization_9/AssignNewValueAssignVariableOp>batch_normalization_9_fusedbatchnormv3_readvariableop_resource3batch_normalization_9/FusedBatchNormV3:batch_mean:06^batch_normalization_9/FusedBatchNormV3/ReadVariableOp*Q
_classG
ECloc:@batch_normalization_9/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02&
$batch_normalization_9/AssignNewValue�
&batch_normalization_9/AssignNewValue_1AssignVariableOp@batch_normalization_9_fusedbatchnormv3_readvariableop_1_resource7batch_normalization_9/FusedBatchNormV3:batch_variance:08^batch_normalization_9/FusedBatchNormV3/ReadVariableOp_1*S
_classI
GEloc:@batch_normalization_9/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02(
&batch_normalization_9/AssignNewValue_1�
leaky_re_lu_9/LeakyRelu	LeakyRelu*batch_normalization_9/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2
leaky_re_lu_9/LeakyRelu�
conv2d_10/Conv2D/ReadVariableOpReadVariableOp(conv2d_10_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_10/Conv2D/ReadVariableOp�
conv2d_10/Conv2DConv2D%leaky_re_lu_9/LeakyRelu:activations:0'conv2d_10/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
conv2d_10/Conv2D�
%batch_normalization_10/ReadVariableOpReadVariableOp.batch_normalization_10_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_10/ReadVariableOp�
'batch_normalization_10/ReadVariableOp_1ReadVariableOp0batch_normalization_10_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_10/ReadVariableOp_1�
6batch_normalization_10/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_10_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_10/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_10/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_10_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_10/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_10/FusedBatchNormV3FusedBatchNormV3conv2d_10/Conv2D:output:0-batch_normalization_10/ReadVariableOp:value:0/batch_normalization_10/ReadVariableOp_1:value:0>batch_normalization_10/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_10/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2)
'batch_normalization_10/FusedBatchNormV3�
%batch_normalization_10/AssignNewValueAssignVariableOp?batch_normalization_10_fusedbatchnormv3_readvariableop_resource4batch_normalization_10/FusedBatchNormV3:batch_mean:07^batch_normalization_10/FusedBatchNormV3/ReadVariableOp*R
_classH
FDloc:@batch_normalization_10/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02'
%batch_normalization_10/AssignNewValue�
'batch_normalization_10/AssignNewValue_1AssignVariableOpAbatch_normalization_10_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_10/FusedBatchNormV3:batch_variance:09^batch_normalization_10/FusedBatchNormV3/ReadVariableOp_1*T
_classJ
HFloc:@batch_normalization_10/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02)
'batch_normalization_10/AssignNewValue_1�
leaky_re_lu_10/LeakyRelu	LeakyRelu+batch_normalization_10/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2
leaky_re_lu_10/LeakyRelu�
conv2d_11/Conv2D/ReadVariableOpReadVariableOp(conv2d_11_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_11/Conv2D/ReadVariableOp�
conv2d_11/Conv2DConv2D&leaky_re_lu_10/LeakyRelu:activations:0'conv2d_11/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
conv2d_11/Conv2D�
%batch_normalization_11/ReadVariableOpReadVariableOp.batch_normalization_11_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_11/ReadVariableOp�
'batch_normalization_11/ReadVariableOp_1ReadVariableOp0batch_normalization_11_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_11/ReadVariableOp_1�
6batch_normalization_11/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_11_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_11/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_11/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_11_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_11/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_11/FusedBatchNormV3FusedBatchNormV3conv2d_11/Conv2D:output:0-batch_normalization_11/ReadVariableOp:value:0/batch_normalization_11/ReadVariableOp_1:value:0>batch_normalization_11/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_11/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2)
'batch_normalization_11/FusedBatchNormV3�
%batch_normalization_11/AssignNewValueAssignVariableOp?batch_normalization_11_fusedbatchnormv3_readvariableop_resource4batch_normalization_11/FusedBatchNormV3:batch_mean:07^batch_normalization_11/FusedBatchNormV3/ReadVariableOp*R
_classH
FDloc:@batch_normalization_11/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02'
%batch_normalization_11/AssignNewValue�
'batch_normalization_11/AssignNewValue_1AssignVariableOpAbatch_normalization_11_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_11/FusedBatchNormV3:batch_variance:09^batch_normalization_11/FusedBatchNormV3/ReadVariableOp_1*T
_classJ
HFloc:@batch_normalization_11/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02)
'batch_normalization_11/AssignNewValue_1�
leaky_re_lu_11/LeakyRelu	LeakyRelu+batch_normalization_11/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2
leaky_re_lu_11/LeakyRelu�
conv2d_12/Conv2D/ReadVariableOpReadVariableOp(conv2d_12_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_12/Conv2D/ReadVariableOp�
conv2d_12/Conv2DConv2D&leaky_re_lu_11/LeakyRelu:activations:0'conv2d_12/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
conv2d_12/Conv2D�
%batch_normalization_12/ReadVariableOpReadVariableOp.batch_normalization_12_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_12/ReadVariableOp�
'batch_normalization_12/ReadVariableOp_1ReadVariableOp0batch_normalization_12_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_12/ReadVariableOp_1�
6batch_normalization_12/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_12_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_12/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_12/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_12_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_12/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_12/FusedBatchNormV3FusedBatchNormV3conv2d_12/Conv2D:output:0-batch_normalization_12/ReadVariableOp:value:0/batch_normalization_12/ReadVariableOp_1:value:0>batch_normalization_12/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_12/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2)
'batch_normalization_12/FusedBatchNormV3�
%batch_normalization_12/AssignNewValueAssignVariableOp?batch_normalization_12_fusedbatchnormv3_readvariableop_resource4batch_normalization_12/FusedBatchNormV3:batch_mean:07^batch_normalization_12/FusedBatchNormV3/ReadVariableOp*R
_classH
FDloc:@batch_normalization_12/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02'
%batch_normalization_12/AssignNewValue�
'batch_normalization_12/AssignNewValue_1AssignVariableOpAbatch_normalization_12_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_12/FusedBatchNormV3:batch_variance:09^batch_normalization_12/FusedBatchNormV3/ReadVariableOp_1*T
_classJ
HFloc:@batch_normalization_12/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02)
'batch_normalization_12/AssignNewValue_1�
leaky_re_lu_12/LeakyRelu	LeakyRelu+batch_normalization_12/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2
leaky_re_lu_12/LeakyRelu�
max_pooling2d_4/MaxPoolMaxPool&leaky_re_lu_12/LeakyRelu:activations:0*0
_output_shapes
:����������*
ksize
*
paddingSAME*
strides
2
max_pooling2d_4/MaxPool�
conv2d_13/Conv2D/ReadVariableOpReadVariableOp(conv2d_13_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_13/Conv2D/ReadVariableOp�
conv2d_13/Conv2DConv2D max_pooling2d_4/MaxPool:output:0'conv2d_13/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:����������*
paddingSAME*
strides
2
conv2d_13/Conv2D�
%batch_normalization_13/ReadVariableOpReadVariableOp.batch_normalization_13_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_13/ReadVariableOp�
'batch_normalization_13/ReadVariableOp_1ReadVariableOp0batch_normalization_13_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_13/ReadVariableOp_1�
6batch_normalization_13/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_13_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_13/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_13/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_13_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_13/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_13/FusedBatchNormV3FusedBatchNormV3conv2d_13/Conv2D:output:0-batch_normalization_13/ReadVariableOp:value:0/batch_normalization_13/ReadVariableOp_1:value:0>batch_normalization_13/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_13/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:����������:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2)
'batch_normalization_13/FusedBatchNormV3�
%batch_normalization_13/AssignNewValueAssignVariableOp?batch_normalization_13_fusedbatchnormv3_readvariableop_resource4batch_normalization_13/FusedBatchNormV3:batch_mean:07^batch_normalization_13/FusedBatchNormV3/ReadVariableOp*R
_classH
FDloc:@batch_normalization_13/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02'
%batch_normalization_13/AssignNewValue�
'batch_normalization_13/AssignNewValue_1AssignVariableOpAbatch_normalization_13_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_13/FusedBatchNormV3:batch_variance:09^batch_normalization_13/FusedBatchNormV3/ReadVariableOp_1*T
_classJ
HFloc:@batch_normalization_13/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02)
'batch_normalization_13/AssignNewValue_1�
leaky_re_lu_13/LeakyRelu	LeakyRelu+batch_normalization_13/FusedBatchNormV3:y:0*0
_output_shapes
:����������*
alpha%���=2
leaky_re_lu_13/LeakyRelu�
conv2d_14/Conv2D/ReadVariableOpReadVariableOp(conv2d_14_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_14/Conv2D/ReadVariableOp�
conv2d_14/Conv2DConv2D&leaky_re_lu_13/LeakyRelu:activations:0'conv2d_14/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:����������*
paddingSAME*
strides
2
conv2d_14/Conv2D�
%batch_normalization_14/ReadVariableOpReadVariableOp.batch_normalization_14_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_14/ReadVariableOp�
'batch_normalization_14/ReadVariableOp_1ReadVariableOp0batch_normalization_14_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_14/ReadVariableOp_1�
6batch_normalization_14/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_14_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_14/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_14/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_14_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_14/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_14/FusedBatchNormV3FusedBatchNormV3conv2d_14/Conv2D:output:0-batch_normalization_14/ReadVariableOp:value:0/batch_normalization_14/ReadVariableOp_1:value:0>batch_normalization_14/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_14/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:����������:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2)
'batch_normalization_14/FusedBatchNormV3�
%batch_normalization_14/AssignNewValueAssignVariableOp?batch_normalization_14_fusedbatchnormv3_readvariableop_resource4batch_normalization_14/FusedBatchNormV3:batch_mean:07^batch_normalization_14/FusedBatchNormV3/ReadVariableOp*R
_classH
FDloc:@batch_normalization_14/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02'
%batch_normalization_14/AssignNewValue�
'batch_normalization_14/AssignNewValue_1AssignVariableOpAbatch_normalization_14_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_14/FusedBatchNormV3:batch_variance:09^batch_normalization_14/FusedBatchNormV3/ReadVariableOp_1*T
_classJ
HFloc:@batch_normalization_14/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02)
'batch_normalization_14/AssignNewValue_1�
leaky_re_lu_14/LeakyRelu	LeakyRelu+batch_normalization_14/FusedBatchNormV3:y:0*0
_output_shapes
:����������*
alpha%���=2
leaky_re_lu_14/LeakyRelu�
conv2d_15/Conv2D/ReadVariableOpReadVariableOp(conv2d_15_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_15/Conv2D/ReadVariableOp�
conv2d_15/Conv2DConv2D&leaky_re_lu_14/LeakyRelu:activations:0'conv2d_15/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:����������*
paddingSAME*
strides
2
conv2d_15/Conv2D�
%batch_normalization_15/ReadVariableOpReadVariableOp.batch_normalization_15_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_15/ReadVariableOp�
'batch_normalization_15/ReadVariableOp_1ReadVariableOp0batch_normalization_15_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_15/ReadVariableOp_1�
6batch_normalization_15/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_15_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_15/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_15/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_15_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_15/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_15/FusedBatchNormV3FusedBatchNormV3conv2d_15/Conv2D:output:0-batch_normalization_15/ReadVariableOp:value:0/batch_normalization_15/ReadVariableOp_1:value:0>batch_normalization_15/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_15/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:����������:�:�:�:�:*
epsilon%o�:*
exponential_avg_factor%
�#<2)
'batch_normalization_15/FusedBatchNormV3�
%batch_normalization_15/AssignNewValueAssignVariableOp?batch_normalization_15_fusedbatchnormv3_readvariableop_resource4batch_normalization_15/FusedBatchNormV3:batch_mean:07^batch_normalization_15/FusedBatchNormV3/ReadVariableOp*R
_classH
FDloc:@batch_normalization_15/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02'
%batch_normalization_15/AssignNewValue�
'batch_normalization_15/AssignNewValue_1AssignVariableOpAbatch_normalization_15_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_15/FusedBatchNormV3:batch_variance:09^batch_normalization_15/FusedBatchNormV3/ReadVariableOp_1*T
_classJ
HFloc:@batch_normalization_15/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02)
'batch_normalization_15/AssignNewValue_1�
leaky_re_lu_15/LeakyRelu	LeakyRelu+batch_normalization_15/FusedBatchNormV3:y:0*0
_output_shapes
:����������*
alpha%���=2
leaky_re_lu_15/LeakyRelu�
conv2d_16/Conv2D/ReadVariableOpReadVariableOp(conv2d_16_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_16/Conv2D/ReadVariableOp�
conv2d_16/Conv2DConv2D&leaky_re_lu_15/LeakyRelu:activations:0'conv2d_16/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:����������*
paddingSAME*
strides
2
conv2d_16/Conv2D�
%batch_normalization_16/ReadVariableOpReadVariableOp.batch_normalization_16_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_16/ReadVariableOp�
'batch_normalization_16/ReadVariableOp_1ReadVariableOp0batch_normalization_16_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_16/ReadVariableOp_1�
6batch_normalization_16/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_16_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_16/FusedBatchNormV3/ReadVariableOp�
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�:*
exponential_avg_factor%
�#<2)
'batch_normalization_16/FusedBatchNormV3�
%batch_normalization_16/AssignNewValueAssignVariableOp?batch_normalization_16_fusedbatchnormv3_readvariableop_resource4batch_normalization_16/FusedBatchNormV3:batch_mean:07^batch_normalization_16/FusedBatchNormV3/ReadVariableOp*R
_classH
FDloc:@batch_normalization_16/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02'
%batch_normalization_16/AssignNewValue�
'batch_normalization_16/AssignNewValue_1AssignVariableOpAbatch_normalization_16_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_16/FusedBatchNormV3:batch_variance:09^batch_normalization_16/FusedBatchNormV3/ReadVariableOp_1*T
_classJ
HFloc:@batch_normalization_16/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02)
'batch_normalization_16/AssignNewValue_1�
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�:*
exponential_avg_factor%
�#<2)
'batch_normalization_17/FusedBatchNormV3�
%batch_normalization_17/AssignNewValueAssignVariableOp?batch_normalization_17_fusedbatchnormv3_readvariableop_resource4batch_normalization_17/FusedBatchNormV3:batch_mean:07^batch_normalization_17/FusedBatchNormV3/ReadVariableOp*R
_classH
FDloc:@batch_normalization_17/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02'
%batch_normalization_17/AssignNewValue�
'batch_normalization_17/AssignNewValue_1AssignVariableOpAbatch_normalization_17_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_17/FusedBatchNormV3:batch_variance:09^batch_normalization_17/FusedBatchNormV3/ReadVariableOp_1*T
_classJ
HFloc:@batch_normalization_17/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02)
'batch_normalization_17/AssignNewValue_1�
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�:*
exponential_avg_factor%
�#<2)
'batch_normalization_18/FusedBatchNormV3�
%batch_normalization_18/AssignNewValueAssignVariableOp?batch_normalization_18_fusedbatchnormv3_readvariableop_resource4batch_normalization_18/FusedBatchNormV3:batch_mean:07^batch_normalization_18/FusedBatchNormV3/ReadVariableOp*R
_classH
FDloc:@batch_normalization_18/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02'
%batch_normalization_18/AssignNewValue�
'batch_normalization_18/AssignNewValue_1AssignVariableOpAbatch_normalization_18_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_18/FusedBatchNormV3:batch_variance:09^batch_normalization_18/FusedBatchNormV3/ReadVariableOp_1*T
_classJ
HFloc:@batch_normalization_18/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02)
'batch_normalization_18/AssignNewValue_1�
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�:*
exponential_avg_factor%
�#<2)
'batch_normalization_20/FusedBatchNormV3�
%batch_normalization_20/AssignNewValueAssignVariableOp?batch_normalization_20_fusedbatchnormv3_readvariableop_resource4batch_normalization_20/FusedBatchNormV3:batch_mean:07^batch_normalization_20/FusedBatchNormV3/ReadVariableOp*R
_classH
FDloc:@batch_normalization_20/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02'
%batch_normalization_20/AssignNewValue�
'batch_normalization_20/AssignNewValue_1AssignVariableOpAbatch_normalization_20_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_20/FusedBatchNormV3:batch_variance:09^batch_normalization_20/FusedBatchNormV3/ReadVariableOp_1*T
_classJ
HFloc:@batch_normalization_20/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02)
'batch_normalization_20/AssignNewValue_1�
%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�:*
exponential_avg_factor%
�#<2)
'batch_normalization_19/FusedBatchNormV3�
%batch_normalization_19/AssignNewValueAssignVariableOp?batch_normalization_19_fusedbatchnormv3_readvariableop_resource4batch_normalization_19/FusedBatchNormV3:batch_mean:07^batch_normalization_19/FusedBatchNormV3/ReadVariableOp*R
_classH
FDloc:@batch_normalization_19/FusedBatchNormV3/ReadVariableOp/resource*
_output_shapes
*
dtype02'
%batch_normalization_19/AssignNewValue�
'batch_normalization_19/AssignNewValue_1AssignVariableOpAbatch_normalization_19_fusedbatchnormv3_readvariableop_1_resource8batch_normalization_19/FusedBatchNormV3:batch_variance:09^batch_normalization_19/FusedBatchNormV3/ReadVariableOp_1*T
_classJ
HFloc:@batch_normalization_19/FusedBatchNormV3/ReadVariableOp_1/resource*
_output_shapes
*
dtype02)
'batch_normalization_19/AssignNewValue_1�
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/SpaceToDepthSpaceToDepth&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$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/Sum�
conv2d/kernel/Regularizer/mul/xConst*
_output_shapes
:*
dtype0*
valueB
*o:2!
conv2d/kernel/Regularizer/mul/x�
conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/mul�
1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_1_conv2d_readvariableop_resource*&
_output_shapes
: @*
dtype023
1conv2d_1/kernel/Regularizer/Square/ReadVariableOp�
"conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0*
T0*&
_output_shapes
: @2$
"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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_14_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_15_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_16_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_17_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_18_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_20_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_19_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_21_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_22_conv2d_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*
valueB
*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�
IdentityIdentityconv2d_22/BiasAdd:output:0#^batch_normalization/AssignNewValue%^batch_normalization/AssignNewValue_1%^batch_normalization_1/AssignNewValue'^batch_normalization_1/AssignNewValue_1&^batch_normalization_10/AssignNewValue(^batch_normalization_10/AssignNewValue_1&^batch_normalization_11/AssignNewValue(^batch_normalization_11/AssignNewValue_1&^batch_normalization_12/AssignNewValue(^batch_normalization_12/AssignNewValue_1&^batch_normalization_13/AssignNewValue(^batch_normalization_13/AssignNewValue_1&^batch_normalization_14/AssignNewValue(^batch_normalization_14/AssignNewValue_1&^batch_normalization_15/AssignNewValue(^batch_normalization_15/AssignNewValue_1&^batch_normalization_16/AssignNewValue(^batch_normalization_16/AssignNewValue_1&^batch_normalization_17/AssignNewValue(^batch_normalization_17/AssignNewValue_1&^batch_normalization_18/AssignNewValue(^batch_normalization_18/AssignNewValue_1&^batch_normalization_19/AssignNewValue(^batch_normalization_19/AssignNewValue_1%^batch_normalization_2/AssignNewValue'^batch_normalization_2/AssignNewValue_1&^batch_normalization_20/AssignNewValue(^batch_normalization_20/AssignNewValue_1&^batch_normalization_21/AssignNewValue(^batch_normalization_21/AssignNewValue_1%^batch_normalization_3/AssignNewValue'^batch_normalization_3/AssignNewValue_1%^batch_normalization_4/AssignNewValue'^batch_normalization_4/AssignNewValue_1%^batch_normalization_5/AssignNewValue'^batch_normalization_5/AssignNewValue_1%^batch_normalization_6/AssignNewValue'^batch_normalization_6/AssignNewValue_1%^batch_normalization_7/AssignNewValue'^batch_normalization_7/AssignNewValue_1%^batch_normalization_8/AssignNewValue'^batch_normalization_8/AssignNewValue_1%^batch_normalization_9/AssignNewValue'^batch_normalization_9/AssignNewValue_1*
T0*0
_output_shapes
:����������2

Identity"
identityIdentity:output:0*�

_input_shapes�
�:�����������::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::2H
"batch_normalization/AssignNewValue"batch_normalization/AssignNewValue2L
$batch_normalization/AssignNewValue_1$batch_normalization/AssignNewValue_12L
$batch_normalization_1/AssignNewValue$batch_normalization_1/AssignNewValue2P
&batch_normalization_1/AssignNewValue_1&batch_normalization_1/AssignNewValue_12N
%batch_normalization_10/AssignNewValue%batch_normalization_10/AssignNewValue2R
'batch_normalization_10/AssignNewValue_1'batch_normalization_10/AssignNewValue_12N
%batch_normalization_11/AssignNewValue%batch_normalization_11/AssignNewValue2R
'batch_normalization_11/AssignNewValue_1'batch_normalization_11/AssignNewValue_12N
%batch_normalization_12/AssignNewValue%batch_normalization_12/AssignNewValue2R
'batch_normalization_12/AssignNewValue_1'batch_normalization_12/AssignNewValue_12N
%batch_normalization_13/AssignNewValue%batch_normalization_13/AssignNewValue2R
'batch_normalization_13/AssignNewValue_1'batch_normalization_13/AssignNewValue_12N
%batch_normalization_14/AssignNewValue%batch_normalization_14/AssignNewValue2R
'batch_normalization_14/AssignNewValue_1'batch_normalization_14/AssignNewValue_12N
%batch_normalization_15/AssignNewValue%batch_normalization_15/AssignNewValue2R
'batch_normalization_15/AssignNewValue_1'batch_normalization_15/AssignNewValue_12N
%batch_normalization_16/AssignNewValue%batch_normalization_16/AssignNewValue2R
'batch_normalization_16/AssignNewValue_1'batch_normalization_16/AssignNewValue_12N
%batch_normalization_17/AssignNewValue%batch_normalization_17/AssignNewValue2R
'batch_normalization_17/AssignNewValue_1'batch_normalization_17/AssignNewValue_12N
%batch_normalization_18/AssignNewValue%batch_normalization_18/AssignNewValue2R
'batch_normalization_18/AssignNewValue_1'batch_normalization_18/AssignNewValue_12N
%batch_normalization_19/AssignNewValue%batch_normalization_19/AssignNewValue2R
'batch_normalization_19/AssignNewValue_1'batch_normalization_19/AssignNewValue_12L
$batch_normalization_2/AssignNewValue$batch_normalization_2/AssignNewValue2P
&batch_normalization_2/AssignNewValue_1&batch_normalization_2/AssignNewValue_12N
%batch_normalization_20/AssignNewValue%batch_normalization_20/AssignNewValue2R
'batch_normalization_20/AssignNewValue_1'batch_normalization_20/AssignNewValue_12N
%batch_normalization_21/AssignNewValue%batch_normalization_21/AssignNewValue2R
'batch_normalization_21/AssignNewValue_1'batch_normalization_21/AssignNewValue_12L
$batch_normalization_3/AssignNewValue$batch_normalization_3/AssignNewValue2P
&batch_normalization_3/AssignNewValue_1&batch_normalization_3/AssignNewValue_12L
$batch_normalization_4/AssignNewValue$batch_normalization_4/AssignNewValue2P
&batch_normalization_4/AssignNewValue_1&batch_normalization_4/AssignNewValue_12L
$batch_normalization_5/AssignNewValue$batch_normalization_5/AssignNewValue2P
&batch_normalization_5/AssignNewValue_1&batch_normalization_5/AssignNewValue_12L
$batch_normalization_6/AssignNewValue$batch_normalization_6/AssignNewValue2P
&batch_normalization_6/AssignNewValue_1&batch_normalization_6/AssignNewValue_12L
$batch_normalization_7/AssignNewValue$batch_normalization_7/AssignNewValue2P
&batch_normalization_7/AssignNewValue_1&batch_normalization_7/AssignNewValue_12L
$batch_normalization_8/AssignNewValue$batch_normalization_8/AssignNewValue2P
&batch_normalization_8/AssignNewValue_1&batch_normalization_8/AssignNewValue_12L
$batch_normalization_9/AssignNewValue$batch_normalization_9/AssignNewValue2P
&batch_normalization_9/AssignNewValue_1&batch_normalization_9/AssignNewValue_1:YU
1
_output_shapes
:�����������
 
_user_specified_nameinputs
�
�
Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_13958

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@
>:,����������������������������:::::jf
B
_output_shapes0
.:,����������������������������
 
_user_specified_nameinputs
��
�)
F__inference_functional_1_layer_call_and_return_conditional_losses_7956
input_1
conv2d_7519
batch_normalization_7522
batch_normalization_7524
batch_normalization_7526
batch_normalization_7528

conv2d_1_7533
batch_normalization_1_7536
batch_normalization_1_7538
batch_normalization_1_7540
batch_normalization_1_7542

conv2d_2_7547
batch_normalization_2_7550
batch_normalization_2_7552
batch_normalization_2_7554
batch_normalization_2_7556

conv2d_3_7560
batch_normalization_3_7563
batch_normalization_3_7565
batch_normalization_3_7567
batch_normalization_3_7569

conv2d_4_7573
batch_normalization_4_7576
batch_normalization_4_7578
batch_normalization_4_7580
batch_normalization_4_7582

conv2d_5_7587
batch_normalization_5_7590
batch_normalization_5_7592
batch_normalization_5_7594
batch_normalization_5_7596

conv2d_6_7600
batch_normalization_6_7603
batch_normalization_6_7605
batch_normalization_6_7607
batch_normalization_6_7609

conv2d_7_7613
batch_normalization_7_7616
batch_normalization_7_7618
batch_normalization_7_7620
batch_normalization_7_7622

conv2d_8_7627
batch_normalization_8_7630
batch_normalization_8_7632
batch_normalization_8_7634
batch_normalization_8_7636

conv2d_9_7640
batch_normalization_9_7643
batch_normalization_9_7645
batch_normalization_9_7647
batch_normalization_9_7649
conv2d_10_7653
batch_normalization_10_7656
batch_normalization_10_7658
batch_normalization_10_7660
batch_normalization_10_7662
conv2d_11_7666
batch_normalization_11_7669
batch_normalization_11_7671
batch_normalization_11_7673
batch_normalization_11_7675
conv2d_12_7679
batch_normalization_12_7682
batch_normalization_12_7684
batch_normalization_12_7686
batch_normalization_12_7688
conv2d_13_7693
batch_normalization_13_7696
batch_normalization_13_7698
batch_normalization_13_7700
batch_normalization_13_7702
conv2d_14_7706
batch_normalization_14_7709
batch_normalization_14_7711
batch_normalization_14_7713
batch_normalization_14_7715
conv2d_15_7719
batch_normalization_15_7722
batch_normalization_15_7724
batch_normalization_15_7726
batch_normalization_15_7728
conv2d_16_7732
batch_normalization_16_7735
batch_normalization_16_7737
batch_normalization_16_7739
batch_normalization_16_7741
conv2d_17_7745
batch_normalization_17_7748
batch_normalization_17_7750
batch_normalization_17_7752
batch_normalization_17_7754
conv2d_18_7758
batch_normalization_18_7761
batch_normalization_18_7763
batch_normalization_18_7765
batch_normalization_18_7767
conv2d_20_7771
conv2d_19_7774
batch_normalization_20_7777
batch_normalization_20_7779
batch_normalization_20_7781
batch_normalization_20_7783
batch_normalization_19_7786
batch_normalization_19_7788
batch_normalization_19_7790
batch_normalization_19_7792
conv2d_21_7799
batch_normalization_21_7802
batch_normalization_21_7804
batch_normalization_21_7806
batch_normalization_21_7808
conv2d_22_7812
conv2d_22_7814
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� 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�
conv2d/StatefulPartitionedCallStatefulPartitionedCallinput_1conv2d_7519*
Tin
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:����������� *#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*I
fDRB
@__inference_conv2d_layer_call_and_return_conditional_losses_48722 
conv2d/StatefulPartitionedCall�
+batch_normalization/StatefulPartitionedCallStatefulPartitionedCall'conv2d/StatefulPartitionedCall:output:0batch_normalization_7522batch_normalization_7524batch_normalization_7526batch_normalization_7528*
Tin	
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:����������� *&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*V
fQRO
M__inference_batch_normalization_layer_call_and_return_conditional_losses_49212-
+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

GPU2J8�*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
2*
_collective_manager_ids
*1
_output_shapes
:����������� * 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_max_pooling2d_layer_call_and_return_conditional_losses_26172
max_pooling2d/PartitionedCall�
 conv2d_1/StatefulPartitionedCallStatefulPartitionedCall&max_pooling2d/PartitionedCall:output:0
conv2d_1_7533*
Tin
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
B__inference_conv2d_1_layer_call_and_return_conditional_losses_49842"
 conv2d_1/StatefulPartitionedCall�
-batch_normalization_1/StatefulPartitionedCallStatefulPartitionedCall)conv2d_1/StatefulPartitionedCall:output:0batch_normalization_1_7536batch_normalization_1_7538batch_normalization_1_7540batch_normalization_1_7542*
Tin	
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_1_layer_call_and_return_conditional_losses_50332/
-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

GPU2J8�*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

GPU2J8�*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_7547*
Tin
2*
Tout
2*
_collective_manager_ids
*2
_output_shapes 
:������������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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
:�����������@* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_7573*
Tin
2*
Tout
2*
_collective_manager_ids
*2
_output_shapes 
:������������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_7576batch_normalization_4_7578batch_normalization_4_7580batch_normalization_4_7582*
Tin	
2*
Tout
2*
_collective_manager_ids
*2
_output_shapes 
:������������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_4_layer_call_and_return_conditional_losses_53672/
-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

GPU2J8�*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

GPU2J8�*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_7587*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_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

GPU2J8�*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

GPU2J8�*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_7600*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_7603batch_normalization_6_7605batch_normalization_6_7607batch_normalization_6_7609*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_6_layer_call_and_return_conditional_losses_55902/
-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

GPU2J8�*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_7613*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_7616batch_normalization_7_7618batch_normalization_7_7620batch_normalization_7_7622*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_57012/
-batch_normalization_7/StatefulPartitionedCall�
leaky_re_lu_7/PartitionedCallPartitionedCall6batch_normalization_7/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_7_layer_call_and_return_conditional_losses_57422
leaky_re_lu_7/PartitionedCall�
max_pooling2d_3/PartitionedCallPartitionedCall&leaky_re_lu_7/PartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*R
fMRK
I__inference_max_pooling2d_3_layer_call_and_return_conditional_losses_33812!
max_pooling2d_3/PartitionedCall�
 conv2d_8/StatefulPartitionedCallStatefulPartitionedCall(max_pooling2d_3/PartitionedCall:output:0
conv2d_8_7627*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
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

GPU2J8�*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

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_8_layer_call_and_return_conditional_losses_58542
leaky_re_lu_8/PartitionedCall�
 conv2d_9/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_8/PartitionedCall:output:0
conv2d_9_7640*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
B__inference_conv2d_9_layer_call_and_return_conditional_losses_58752"
 conv2d_9/StatefulPartitionedCall�
-batch_normalization_9/StatefulPartitionedCallStatefulPartitionedCall)conv2d_9/StatefulPartitionedCall:output:0batch_normalization_9_7643batch_normalization_9_7645batch_normalization_9_7647batch_normalization_9_7649*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_59242/
-batch_normalization_9/StatefulPartitionedCall�
leaky_re_lu_9/PartitionedCallPartitionedCall6batch_normalization_9/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_9_layer_call_and_return_conditional_losses_59652
leaky_re_lu_9/PartitionedCall�
!conv2d_10/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_9/PartitionedCall:output:0conv2d_10_7653*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_10_layer_call_and_return_conditional_losses_59862#
!conv2d_10/StatefulPartitionedCall�
.batch_normalization_10/StatefulPartitionedCallStatefulPartitionedCall*conv2d_10/StatefulPartitionedCall:output:0batch_normalization_10_7656batch_normalization_10_7658batch_normalization_10_7660batch_normalization_10_7662*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_603520
.batch_normalization_10/StatefulPartitionedCall�
leaky_re_lu_10/PartitionedCallPartitionedCall7batch_normalization_10/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_10_layer_call_and_return_conditional_losses_60762 
leaky_re_lu_10/PartitionedCall�
!conv2d_11/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_10/PartitionedCall:output:0conv2d_11_7666*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_11_layer_call_and_return_conditional_losses_60972#
!conv2d_11/StatefulPartitionedCall�
.batch_normalization_11/StatefulPartitionedCallStatefulPartitionedCall*conv2d_11/StatefulPartitionedCall:output:0batch_normalization_11_7669batch_normalization_11_7671batch_normalization_11_7673batch_normalization_11_7675*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_614620
.batch_normalization_11/StatefulPartitionedCall�
leaky_re_lu_11/PartitionedCallPartitionedCall7batch_normalization_11/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_11_layer_call_and_return_conditional_losses_61872 
leaky_re_lu_11/PartitionedCall�
!conv2d_12/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_11/PartitionedCall:output:0conv2d_12_7679*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_12_layer_call_and_return_conditional_losses_62082#
!conv2d_12/StatefulPartitionedCall�
.batch_normalization_12/StatefulPartitionedCallStatefulPartitionedCall*conv2d_12/StatefulPartitionedCall:output:0batch_normalization_12_7682batch_normalization_12_7684batch_normalization_12_7686batch_normalization_12_7688*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_625720
.batch_normalization_12/StatefulPartitionedCall�
leaky_re_lu_12/PartitionedCallPartitionedCall7batch_normalization_12/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_12_layer_call_and_return_conditional_losses_62982 
leaky_re_lu_12/PartitionedCall�
max_pooling2d_4/PartitionedCallPartitionedCall'leaky_re_lu_12/PartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*R
fMRK
I__inference_max_pooling2d_4_layer_call_and_return_conditional_losses_39132!
max_pooling2d_4/PartitionedCall�
!conv2d_13/StatefulPartitionedCallStatefulPartitionedCall(max_pooling2d_4/PartitionedCall:output:0conv2d_13_7693*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_13_layer_call_and_return_conditional_losses_63202#
!conv2d_13/StatefulPartitionedCall�
.batch_normalization_13/StatefulPartitionedCallStatefulPartitionedCall*conv2d_13/StatefulPartitionedCall:output:0batch_normalization_13_7696batch_normalization_13_7698batch_normalization_13_7700batch_normalization_13_7702*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_636920
.batch_normalization_13/StatefulPartitionedCall�
leaky_re_lu_13/PartitionedCallPartitionedCall7batch_normalization_13/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_13_layer_call_and_return_conditional_losses_64102 
leaky_re_lu_13/PartitionedCall�
!conv2d_14/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_13/PartitionedCall:output:0conv2d_14_7706*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_14_layer_call_and_return_conditional_losses_64312#
!conv2d_14/StatefulPartitionedCall�
.batch_normalization_14/StatefulPartitionedCallStatefulPartitionedCall*conv2d_14/StatefulPartitionedCall:output:0batch_normalization_14_7709batch_normalization_14_7711batch_normalization_14_7713batch_normalization_14_7715*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_648020
.batch_normalization_14/StatefulPartitionedCall�
leaky_re_lu_14/PartitionedCallPartitionedCall7batch_normalization_14/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_14_layer_call_and_return_conditional_losses_65212 
leaky_re_lu_14/PartitionedCall�
!conv2d_15/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_14/PartitionedCall:output:0conv2d_15_7719*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_15_layer_call_and_return_conditional_losses_65422#
!conv2d_15/StatefulPartitionedCall�
.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

GPU2J8�*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

GPU2J8�*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
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_7735batch_normalization_16_7737batch_normalization_16_7739batch_normalization_16_7741*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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_7745*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*Y
fTRR
P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_681320
.batch_normalization_17/StatefulPartitionedCall�
leaky_re_lu_17/PartitionedCallPartitionedCall7batch_normalization_17/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_17_layer_call_and_return_conditional_losses_68542 
leaky_re_lu_17/PartitionedCall�
!conv2d_18/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_17/PartitionedCall:output:0conv2d_18_7758*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_18_layer_call_and_return_conditional_losses_68752#
!conv2d_18/StatefulPartitionedCall�
.batch_normalization_18/StatefulPartitionedCallStatefulPartitionedCall*conv2d_18/StatefulPartitionedCall:output:0batch_normalization_18_7761batch_normalization_18_7763batch_normalization_18_7765batch_normalization_18_7767*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*N
fIRG
E__inference_concatenate_layer_call_and_return_conditional_losses_72252
concatenate/PartitionedCall�
!conv2d_21/StatefulPartitionedCallStatefulPartitionedCall$concatenate/PartitionedCall:output:0conv2d_21_7799*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_21_layer_call_and_return_conditional_losses_72472#
!conv2d_21/StatefulPartitionedCall�
.batch_normalization_21/StatefulPartitionedCallStatefulPartitionedCall*conv2d_21/StatefulPartitionedCall:output:0batch_normalization_21_7802batch_normalization_21_7804batch_normalization_21_7806batch_normalization_21_7808*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_729620
.batch_normalization_21/StatefulPartitionedCall�
leaky_re_lu_21/PartitionedCallPartitionedCall7batch_normalization_21/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
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

GPU2J8�*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$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/Sum�
conv2d/kernel/Regularizer/mul/xConst*
_output_shapes
:*
dtype0*
valueB
*o:2!
conv2d/kernel/Regularizer/mul/x�
conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/mul�
1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp
conv2d_1_7533*&
_output_shapes
: @*
dtype023
1conv2d_1/kernel/Regularizer/Square/ReadVariableOp�
"conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0*
T0*&
_output_shapes
: @2$
"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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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�
 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*
valueB
*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_7666*(
_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*
valueB
*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_7679*(
_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*
valueB
*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_7693*(
_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*
valueB
*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_7706*(
_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*
valueB
*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_7719*(
_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*
valueB
*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_7732*(
_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*
valueB
*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_7745*(
_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*
valueB
*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_7758*(
_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*
valueB
*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_7771*'
_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*
valueB
*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_7774*(
_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*
valueB
*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_7799*(
_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*
valueB
*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_7812*(
_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*
valueB
*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:ZV
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
conv2d_22_8257
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� 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�
conv2d/StatefulPartitionedCallStatefulPartitionedCallinputsconv2d_7962*
Tin
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:����������� *#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*I
fDRB
@__inference_conv2d_layer_call_and_return_conditional_losses_48722 
conv2d/StatefulPartitionedCall�
+batch_normalization/StatefulPartitionedCallStatefulPartitionedCall'conv2d/StatefulPartitionedCall:output:0batch_normalization_7965batch_normalization_7967batch_normalization_7969batch_normalization_7971*
Tin	
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:����������� *$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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
2*
_collective_manager_ids
*1
_output_shapes
:����������� * 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_max_pooling2d_layer_call_and_return_conditional_losses_26172
max_pooling2d/PartitionedCall�
 conv2d_1/StatefulPartitionedCallStatefulPartitionedCall&max_pooling2d/PartitionedCall:output:0
conv2d_1_7976*
Tin
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
B__inference_conv2d_1_layer_call_and_return_conditional_losses_49842"
 conv2d_1/StatefulPartitionedCall�
-batch_normalization_1/StatefulPartitionedCallStatefulPartitionedCall)conv2d_1/StatefulPartitionedCall:output:0batch_normalization_1_7979batch_normalization_1_7981batch_normalization_1_7983batch_normalization_1_7985*
Tin	
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
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

GPU2J8�*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

GPU2J8�*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_7990*
Tin
2*
Tout
2*
_collective_manager_ids
*2
_output_shapes 
:������������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_7993batch_normalization_2_7995batch_normalization_2_7997batch_normalization_2_7999*
Tin	
2*
Tout
2*
_collective_manager_ids
*2
_output_shapes 
:������������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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_8003*
Tin
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8006batch_normalization_3_8008batch_normalization_3_8010batch_normalization_3_8012*
Tin	
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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_8016*
Tin
2*
Tout
2*
_collective_manager_ids
*2
_output_shapes 
:������������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8019batch_normalization_4_8021batch_normalization_4_8023batch_normalization_4_8025*
Tin	
2*
Tout
2*
_collective_manager_ids
*2
_output_shapes 
:������������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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_8030*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8033batch_normalization_5_8035batch_normalization_5_8037batch_normalization_5_8039*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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_8043*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8046batch_normalization_6_8048batch_normalization_6_8050batch_normalization_6_8052*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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_8056*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8059batch_normalization_7_8061batch_normalization_7_8063batch_normalization_7_8065*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_56832/
-batch_normalization_7/StatefulPartitionedCall�
leaky_re_lu_7/PartitionedCallPartitionedCall6batch_normalization_7/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_7_layer_call_and_return_conditional_losses_57422
leaky_re_lu_7/PartitionedCall�
max_pooling2d_3/PartitionedCallPartitionedCall&leaky_re_lu_7/PartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*R
fMRK
I__inference_max_pooling2d_3_layer_call_and_return_conditional_losses_33812!
max_pooling2d_3/PartitionedCall�
 conv2d_8/StatefulPartitionedCallStatefulPartitionedCall(max_pooling2d_3/PartitionedCall:output:0
conv2d_8_8070*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
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_8073batch_normalization_8_8075batch_normalization_8_8077batch_normalization_8_8079*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_8_layer_call_and_return_conditional_losses_57952/
-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

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_8_layer_call_and_return_conditional_losses_58542
leaky_re_lu_8/PartitionedCall�
 conv2d_9/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_8/PartitionedCall:output:0
conv2d_9_8083*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
B__inference_conv2d_9_layer_call_and_return_conditional_losses_58752"
 conv2d_9/StatefulPartitionedCall�
-batch_normalization_9/StatefulPartitionedCallStatefulPartitionedCall)conv2d_9/StatefulPartitionedCall:output:0batch_normalization_9_8086batch_normalization_9_8088batch_normalization_9_8090batch_normalization_9_8092*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_59062/
-batch_normalization_9/StatefulPartitionedCall�
leaky_re_lu_9/PartitionedCallPartitionedCall6batch_normalization_9/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_9_layer_call_and_return_conditional_losses_59652
leaky_re_lu_9/PartitionedCall�
!conv2d_10/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_9/PartitionedCall:output:0conv2d_10_8096*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_10_layer_call_and_return_conditional_losses_59862#
!conv2d_10/StatefulPartitionedCall�
.batch_normalization_10/StatefulPartitionedCallStatefulPartitionedCall*conv2d_10/StatefulPartitionedCall:output:0batch_normalization_10_8099batch_normalization_10_8101batch_normalization_10_8103batch_normalization_10_8105*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_601720
.batch_normalization_10/StatefulPartitionedCall�
leaky_re_lu_10/PartitionedCallPartitionedCall7batch_normalization_10/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_10_layer_call_and_return_conditional_losses_60762 
leaky_re_lu_10/PartitionedCall�
!conv2d_11/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_10/PartitionedCall:output:0conv2d_11_8109*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_11_layer_call_and_return_conditional_losses_60972#
!conv2d_11/StatefulPartitionedCall�
.batch_normalization_11/StatefulPartitionedCallStatefulPartitionedCall*conv2d_11/StatefulPartitionedCall:output:0batch_normalization_11_8112batch_normalization_11_8114batch_normalization_11_8116batch_normalization_11_8118*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_612820
.batch_normalization_11/StatefulPartitionedCall�
leaky_re_lu_11/PartitionedCallPartitionedCall7batch_normalization_11/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_11_layer_call_and_return_conditional_losses_61872 
leaky_re_lu_11/PartitionedCall�
!conv2d_12/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_11/PartitionedCall:output:0conv2d_12_8122*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_12_layer_call_and_return_conditional_losses_62082#
!conv2d_12/StatefulPartitionedCall�
.batch_normalization_12/StatefulPartitionedCallStatefulPartitionedCall*conv2d_12/StatefulPartitionedCall:output:0batch_normalization_12_8125batch_normalization_12_8127batch_normalization_12_8129batch_normalization_12_8131*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_623920
.batch_normalization_12/StatefulPartitionedCall�
leaky_re_lu_12/PartitionedCallPartitionedCall7batch_normalization_12/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_12_layer_call_and_return_conditional_losses_62982 
leaky_re_lu_12/PartitionedCall�
max_pooling2d_4/PartitionedCallPartitionedCall'leaky_re_lu_12/PartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*R
fMRK
I__inference_max_pooling2d_4_layer_call_and_return_conditional_losses_39132!
max_pooling2d_4/PartitionedCall�
!conv2d_13/StatefulPartitionedCallStatefulPartitionedCall(max_pooling2d_4/PartitionedCall:output:0conv2d_13_8136*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_13_layer_call_and_return_conditional_losses_63202#
!conv2d_13/StatefulPartitionedCall�
.batch_normalization_13/StatefulPartitionedCallStatefulPartitionedCall*conv2d_13/StatefulPartitionedCall:output:0batch_normalization_13_8139batch_normalization_13_8141batch_normalization_13_8143batch_normalization_13_8145*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_635120
.batch_normalization_13/StatefulPartitionedCall�
leaky_re_lu_13/PartitionedCallPartitionedCall7batch_normalization_13/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_13_layer_call_and_return_conditional_losses_64102 
leaky_re_lu_13/PartitionedCall�
!conv2d_14/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_13/PartitionedCall:output:0conv2d_14_8149*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_14_layer_call_and_return_conditional_losses_64312#
!conv2d_14/StatefulPartitionedCall�
.batch_normalization_14/StatefulPartitionedCallStatefulPartitionedCall*conv2d_14/StatefulPartitionedCall:output:0batch_normalization_14_8152batch_normalization_14_8154batch_normalization_14_8156batch_normalization_14_8158*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_646220
.batch_normalization_14/StatefulPartitionedCall�
leaky_re_lu_14/PartitionedCallPartitionedCall7batch_normalization_14/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_14_layer_call_and_return_conditional_losses_65212 
leaky_re_lu_14/PartitionedCall�
!conv2d_15/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_14/PartitionedCall:output:0conv2d_15_8162*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_15_layer_call_and_return_conditional_losses_65422#
!conv2d_15/StatefulPartitionedCall�
.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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*Y
fTRR
P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_679520
.batch_normalization_17/StatefulPartitionedCall�
leaky_re_lu_17/PartitionedCallPartitionedCall7batch_normalization_17/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_17_layer_call_and_return_conditional_losses_68542 
leaky_re_lu_17/PartitionedCall�
!conv2d_18/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_17/PartitionedCall:output:0conv2d_18_8201*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_18_layer_call_and_return_conditional_losses_68752#
!conv2d_18/StatefulPartitionedCall�
.batch_normalization_18/StatefulPartitionedCallStatefulPartitionedCall*conv2d_18/StatefulPartitionedCall:output:0batch_normalization_18_8204batch_normalization_18_8206batch_normalization_18_8208batch_normalization_18_8210*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*N
fIRG
E__inference_concatenate_layer_call_and_return_conditional_losses_72252
concatenate/PartitionedCall�
!conv2d_21/StatefulPartitionedCallStatefulPartitionedCall$concatenate/PartitionedCall:output:0conv2d_21_8242*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_21_layer_call_and_return_conditional_losses_72472#
!conv2d_21/StatefulPartitionedCall�
.batch_normalization_21/StatefulPartitionedCallStatefulPartitionedCall*conv2d_21/StatefulPartitionedCall:output:0batch_normalization_21_8245batch_normalization_21_8247batch_normalization_21_8249batch_normalization_21_8251*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_727820
.batch_normalization_21/StatefulPartitionedCall�
leaky_re_lu_21/PartitionedCallPartitionedCall7batch_normalization_21/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
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

GPU2J8�*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$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/Sum�
conv2d/kernel/Regularizer/mul/xConst*
_output_shapes
:*
dtype0*
valueB
*o:2!
conv2d/kernel/Regularizer/mul/x�
conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/mul�
1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp
conv2d_1_7976*&
_output_shapes
: @*
dtype023
1conv2d_1/kernel/Regularizer/Square/ReadVariableOp�
"conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0*
T0*&
_output_shapes
: @2$
"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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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�
 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*
valueB
*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_8188*(
_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*
valueB
*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_8201*(
_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*
valueB
*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_8214*'
_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*
valueB
*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_8217*(
_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*
valueB
*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_8242*(
_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*
valueB
*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_8255*(
_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*
valueB
*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:YU
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.
,:���������&&�:::::XT
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

GPU2J8�*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:jf
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

GPU2J8�*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:XT
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:XT
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 
:������������:ZV
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

GPU2J8�*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:jf
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�
3functional_1/batch_normalization_3/ReadVariableOp_1ReadVariableOp<functional_1_batch_normalization_3_readvariableop_1_resource*
_output_shapes
:@*
dtype025
3functional_1/batch_normalization_3/ReadVariableOp_1�
Bfunctional_1/batch_normalization_3/FusedBatchNormV3/ReadVariableOpReadVariableOpKfunctional_1_batch_normalization_3_fusedbatchnormv3_readvariableop_resource*
_output_shapes
:@*
dtype02D
Bfunctional_1/batch_normalization_3/FusedBatchNormV3/ReadVariableOp�
Dfunctional_1/batch_normalization_3/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpMfunctional_1_batch_normalization_3_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes
:@*
dtype02F
Dfunctional_1/batch_normalization_3/FusedBatchNormV3/ReadVariableOp_1�
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�
functional_1/conv2d_4/Conv2DConv2D2functional_1/leaky_re_lu_3/LeakyRelu:activations:03functional_1/conv2d_4/Conv2D/ReadVariableOp:value:0*
T0*2
_output_shapes 
:������������*
paddingSAME*
strides
2
functional_1/conv2d_4/Conv2D�
1functional_1/batch_normalization_4/ReadVariableOpReadVariableOp:functional_1_batch_normalization_4_readvariableop_resource*
_output_shapes	
:�*
dtype023
1functional_1/batch_normalization_4/ReadVariableOp�
3functional_1/batch_normalization_4/ReadVariableOp_1ReadVariableOp<functional_1_batch_normalization_4_readvariableop_1_resource*
_output_shapes	
:�*
dtype025
3functional_1/batch_normalization_4/ReadVariableOp_1�
Bfunctional_1/batch_normalization_4/FusedBatchNormV3/ReadVariableOpReadVariableOpKfunctional_1_batch_normalization_4_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype02D
Bfunctional_1/batch_normalization_4/FusedBatchNormV3/ReadVariableOp�
Dfunctional_1/batch_normalization_4/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpMfunctional_1_batch_normalization_4_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02F
Dfunctional_1/batch_normalization_4/FusedBatchNormV3/ReadVariableOp_1�
3functional_1/batch_normalization_4/FusedBatchNormV3FusedBatchNormV3%functional_1/conv2d_4/Conv2D:output:09functional_1/batch_normalization_4/ReadVariableOp:value:0;functional_1/batch_normalization_4/ReadVariableOp_1:value:0Jfunctional_1/batch_normalization_4/FusedBatchNormV3/ReadVariableOp:value:0Lfunctional_1/batch_normalization_4/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*R
_output_shapes@
>:������������:�:�:�:�:*
epsilon%o�:*
is_training(25
3functional_1/batch_normalization_4/FusedBatchNormV3�
$functional_1/leaky_re_lu_4/LeakyRelu	LeakyRelu7functional_1/batch_normalization_4/FusedBatchNormV3:y:0*2
_output_shapes 
:������������*
alpha%���=2&
$functional_1/leaky_re_lu_4/LeakyRelu�
$functional_1/max_pooling2d_2/MaxPoolMaxPool2functional_1/leaky_re_lu_4/LeakyRelu:activations:0*0
_output_shapes
:���������LL�*
ksize
*
paddingSAME*
strides
2&
$functional_1/max_pooling2d_2/MaxPool�
+functional_1/conv2d_5/Conv2D/ReadVariableOpReadVariableOp4functional_1_conv2d_5_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02-
+functional_1/conv2d_5/Conv2D/ReadVariableOp�
functional_1/conv2d_5/Conv2DConv2D-functional_1/max_pooling2d_2/MaxPool:output:03functional_1/conv2d_5/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������LL�*
paddingSAME*
strides
2
functional_1/conv2d_5/Conv2D�
1functional_1/batch_normalization_5/ReadVariableOpReadVariableOp:functional_1_batch_normalization_5_readvariableop_resource*
_output_shapes	
:�*
dtype023
1functional_1/batch_normalization_5/ReadVariableOp�
3functional_1/batch_normalization_5/ReadVariableOp_1ReadVariableOp<functional_1_batch_normalization_5_readvariableop_1_resource*
_output_shapes	
:�*
dtype025
3functional_1/batch_normalization_5/ReadVariableOp_1�
Bfunctional_1/batch_normalization_5/FusedBatchNormV3/ReadVariableOpReadVariableOpKfunctional_1_batch_normalization_5_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype02D
Bfunctional_1/batch_normalization_5/FusedBatchNormV3/ReadVariableOp�
Dfunctional_1/batch_normalization_5/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpMfunctional_1_batch_normalization_5_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02F
Dfunctional_1/batch_normalization_5/FusedBatchNormV3/ReadVariableOp_1�
3functional_1/batch_normalization_5/FusedBatchNormV3FusedBatchNormV3%functional_1/conv2d_5/Conv2D:output:09functional_1/batch_normalization_5/ReadVariableOp:value:0;functional_1/batch_normalization_5/ReadVariableOp_1:value:0Jfunctional_1/batch_normalization_5/FusedBatchNormV3/ReadVariableOp:value:0Lfunctional_1/batch_normalization_5/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������LL�:�:�:�:�:*
epsilon%o�:*
is_training(25
3functional_1/batch_normalization_5/FusedBatchNormV3�
$functional_1/leaky_re_lu_5/LeakyRelu	LeakyRelu7functional_1/batch_normalization_5/FusedBatchNormV3:y:0*0
_output_shapes
:���������LL�*
alpha%���=2&
$functional_1/leaky_re_lu_5/LeakyRelu�
+functional_1/conv2d_6/Conv2D/ReadVariableOpReadVariableOp4functional_1_conv2d_6_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02-
+functional_1/conv2d_6/Conv2D/ReadVariableOp�
functional_1/conv2d_6/Conv2DConv2D2functional_1/leaky_re_lu_5/LeakyRelu:activations:03functional_1/conv2d_6/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������LL�*
paddingSAME*
strides
2
functional_1/conv2d_6/Conv2D�
1functional_1/batch_normalization_6/ReadVariableOpReadVariableOp:functional_1_batch_normalization_6_readvariableop_resource*
_output_shapes	
:�*
dtype023
1functional_1/batch_normalization_6/ReadVariableOp�
3functional_1/batch_normalization_6/ReadVariableOp_1ReadVariableOp<functional_1_batch_normalization_6_readvariableop_1_resource*
_output_shapes	
:�*
dtype025
3functional_1/batch_normalization_6/ReadVariableOp_1�
Bfunctional_1/batch_normalization_6/FusedBatchNormV3/ReadVariableOpReadVariableOpKfunctional_1_batch_normalization_6_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype02D
Bfunctional_1/batch_normalization_6/FusedBatchNormV3/ReadVariableOp�
Dfunctional_1/batch_normalization_6/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpMfunctional_1_batch_normalization_6_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02F
Dfunctional_1/batch_normalization_6/FusedBatchNormV3/ReadVariableOp_1�
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�
functional_1/conv2d_7/Conv2DConv2D2functional_1/leaky_re_lu_6/LeakyRelu:activations:03functional_1/conv2d_7/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������LL�*
paddingSAME*
strides
2
functional_1/conv2d_7/Conv2D�
1functional_1/batch_normalization_7/ReadVariableOpReadVariableOp:functional_1_batch_normalization_7_readvariableop_resource*
_output_shapes	
:�*
dtype023
1functional_1/batch_normalization_7/ReadVariableOp�
3functional_1/batch_normalization_7/ReadVariableOp_1ReadVariableOp<functional_1_batch_normalization_7_readvariableop_1_resource*
_output_shapes	
:�*
dtype025
3functional_1/batch_normalization_7/ReadVariableOp_1�
Bfunctional_1/batch_normalization_7/FusedBatchNormV3/ReadVariableOpReadVariableOpKfunctional_1_batch_normalization_7_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype02D
Bfunctional_1/batch_normalization_7/FusedBatchNormV3/ReadVariableOp�
Dfunctional_1/batch_normalization_7/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpMfunctional_1_batch_normalization_7_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02F
Dfunctional_1/batch_normalization_7/FusedBatchNormV3/ReadVariableOp_1�
3functional_1/batch_normalization_7/FusedBatchNormV3FusedBatchNormV3%functional_1/conv2d_7/Conv2D:output:09functional_1/batch_normalization_7/ReadVariableOp:value:0;functional_1/batch_normalization_7/ReadVariableOp_1:value:0Jfunctional_1/batch_normalization_7/FusedBatchNormV3/ReadVariableOp:value:0Lfunctional_1/batch_normalization_7/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������LL�:�:�:�:�:*
epsilon%o�:*
is_training(25
3functional_1/batch_normalization_7/FusedBatchNormV3�
$functional_1/leaky_re_lu_7/LeakyRelu	LeakyRelu7functional_1/batch_normalization_7/FusedBatchNormV3:y:0*0
_output_shapes
:���������LL�*
alpha%���=2&
$functional_1/leaky_re_lu_7/LeakyRelu�
$functional_1/max_pooling2d_3/MaxPoolMaxPool2functional_1/leaky_re_lu_7/LeakyRelu:activations:0*0
_output_shapes
:���������&&�*
ksize
*
paddingSAME*
strides
2&
$functional_1/max_pooling2d_3/MaxPool�
+functional_1/conv2d_8/Conv2D/ReadVariableOpReadVariableOp4functional_1_conv2d_8_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02-
+functional_1/conv2d_8/Conv2D/ReadVariableOp�
functional_1/conv2d_8/Conv2DConv2D-functional_1/max_pooling2d_3/MaxPool:output:03functional_1/conv2d_8/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
functional_1/conv2d_8/Conv2D�
1functional_1/batch_normalization_8/ReadVariableOpReadVariableOp:functional_1_batch_normalization_8_readvariableop_resource*
_output_shapes	
:�*
dtype023
1functional_1/batch_normalization_8/ReadVariableOp�
3functional_1/batch_normalization_8/ReadVariableOp_1ReadVariableOp<functional_1_batch_normalization_8_readvariableop_1_resource*
_output_shapes	
:�*
dtype025
3functional_1/batch_normalization_8/ReadVariableOp_1�
Bfunctional_1/batch_normalization_8/FusedBatchNormV3/ReadVariableOpReadVariableOpKfunctional_1_batch_normalization_8_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype02D
Bfunctional_1/batch_normalization_8/FusedBatchNormV3/ReadVariableOp�
Dfunctional_1/batch_normalization_8/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpMfunctional_1_batch_normalization_8_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02F
Dfunctional_1/batch_normalization_8/FusedBatchNormV3/ReadVariableOp_1�
3functional_1/batch_normalization_8/FusedBatchNormV3FusedBatchNormV3%functional_1/conv2d_8/Conv2D:output:09functional_1/batch_normalization_8/ReadVariableOp:value:0;functional_1/batch_normalization_8/ReadVariableOp_1:value:0Jfunctional_1/batch_normalization_8/FusedBatchNormV3/ReadVariableOp:value:0Lfunctional_1/batch_normalization_8/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
is_training(25
3functional_1/batch_normalization_8/FusedBatchNormV3�
$functional_1/leaky_re_lu_8/LeakyRelu	LeakyRelu7functional_1/batch_normalization_8/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2&
$functional_1/leaky_re_lu_8/LeakyRelu�
+functional_1/conv2d_9/Conv2D/ReadVariableOpReadVariableOp4functional_1_conv2d_9_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02-
+functional_1/conv2d_9/Conv2D/ReadVariableOp�
functional_1/conv2d_9/Conv2DConv2D2functional_1/leaky_re_lu_8/LeakyRelu:activations:03functional_1/conv2d_9/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
functional_1/conv2d_9/Conv2D�
1functional_1/batch_normalization_9/ReadVariableOpReadVariableOp:functional_1_batch_normalization_9_readvariableop_resource*
_output_shapes	
:�*
dtype023
1functional_1/batch_normalization_9/ReadVariableOp�
3functional_1/batch_normalization_9/ReadVariableOp_1ReadVariableOp<functional_1_batch_normalization_9_readvariableop_1_resource*
_output_shapes	
:�*
dtype025
3functional_1/batch_normalization_9/ReadVariableOp_1�
Bfunctional_1/batch_normalization_9/FusedBatchNormV3/ReadVariableOpReadVariableOpKfunctional_1_batch_normalization_9_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype02D
Bfunctional_1/batch_normalization_9/FusedBatchNormV3/ReadVariableOp�
Dfunctional_1/batch_normalization_9/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpMfunctional_1_batch_normalization_9_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02F
Dfunctional_1/batch_normalization_9/FusedBatchNormV3/ReadVariableOp_1�
3functional_1/batch_normalization_9/FusedBatchNormV3FusedBatchNormV3%functional_1/conv2d_9/Conv2D:output:09functional_1/batch_normalization_9/ReadVariableOp:value:0;functional_1/batch_normalization_9/ReadVariableOp_1:value:0Jfunctional_1/batch_normalization_9/FusedBatchNormV3/ReadVariableOp:value:0Lfunctional_1/batch_normalization_9/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
is_training(25
3functional_1/batch_normalization_9/FusedBatchNormV3�
$functional_1/leaky_re_lu_9/LeakyRelu	LeakyRelu7functional_1/batch_normalization_9/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2&
$functional_1/leaky_re_lu_9/LeakyRelu�
,functional_1/conv2d_10/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_10_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02.
,functional_1/conv2d_10/Conv2D/ReadVariableOp�
functional_1/conv2d_10/Conv2DConv2D2functional_1/leaky_re_lu_9/LeakyRelu:activations:04functional_1/conv2d_10/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
functional_1/conv2d_10/Conv2D�
2functional_1/batch_normalization_10/ReadVariableOpReadVariableOp;functional_1_batch_normalization_10_readvariableop_resource*
_output_shapes	
:�*
dtype024
2functional_1/batch_normalization_10/ReadVariableOp�
4functional_1/batch_normalization_10/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_10_readvariableop_1_resource*
_output_shapes	
:�*
dtype026
4functional_1/batch_normalization_10/ReadVariableOp_1�
Cfunctional_1/batch_normalization_10/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_10_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype02E
Cfunctional_1/batch_normalization_10/FusedBatchNormV3/ReadVariableOp�
Efunctional_1/batch_normalization_10/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_10_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02G
Efunctional_1/batch_normalization_10/FusedBatchNormV3/ReadVariableOp_1�
4functional_1/batch_normalization_10/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_10/Conv2D:output:0:functional_1/batch_normalization_10/ReadVariableOp:value:0<functional_1/batch_normalization_10/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_10/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_10/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
is_training(26
4functional_1/batch_normalization_10/FusedBatchNormV3�
%functional_1/leaky_re_lu_10/LeakyRelu	LeakyRelu8functional_1/batch_normalization_10/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2'
%functional_1/leaky_re_lu_10/LeakyRelu�
,functional_1/conv2d_11/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_11_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02.
,functional_1/conv2d_11/Conv2D/ReadVariableOp�
functional_1/conv2d_11/Conv2DConv2D3functional_1/leaky_re_lu_10/LeakyRelu:activations:04functional_1/conv2d_11/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
functional_1/conv2d_11/Conv2D�
2functional_1/batch_normalization_11/ReadVariableOpReadVariableOp;functional_1_batch_normalization_11_readvariableop_resource*
_output_shapes	
:�*
dtype024
2functional_1/batch_normalization_11/ReadVariableOp�
4functional_1/batch_normalization_11/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_11_readvariableop_1_resource*
_output_shapes	
:�*
dtype026
4functional_1/batch_normalization_11/ReadVariableOp_1�
Cfunctional_1/batch_normalization_11/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_11_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype02E
Cfunctional_1/batch_normalization_11/FusedBatchNormV3/ReadVariableOp�
Efunctional_1/batch_normalization_11/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_11_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02G
Efunctional_1/batch_normalization_11/FusedBatchNormV3/ReadVariableOp_1�
4functional_1/batch_normalization_11/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_11/Conv2D:output:0:functional_1/batch_normalization_11/ReadVariableOp:value:0<functional_1/batch_normalization_11/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_11/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_11/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
is_training(26
4functional_1/batch_normalization_11/FusedBatchNormV3�
%functional_1/leaky_re_lu_11/LeakyRelu	LeakyRelu8functional_1/batch_normalization_11/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2'
%functional_1/leaky_re_lu_11/LeakyRelu�
,functional_1/conv2d_12/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_12_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02.
,functional_1/conv2d_12/Conv2D/ReadVariableOp�
functional_1/conv2d_12/Conv2DConv2D3functional_1/leaky_re_lu_11/LeakyRelu:activations:04functional_1/conv2d_12/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
functional_1/conv2d_12/Conv2D�
2functional_1/batch_normalization_12/ReadVariableOpReadVariableOp;functional_1_batch_normalization_12_readvariableop_resource*
_output_shapes	
:�*
dtype024
2functional_1/batch_normalization_12/ReadVariableOp�
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�
functional_1/conv2d_16/Conv2DConv2D3functional_1/leaky_re_lu_15/LeakyRelu:activations:04functional_1/conv2d_16/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:����������*
paddingSAME*
strides
2
functional_1/conv2d_16/Conv2D�
2functional_1/batch_normalization_16/ReadVariableOpReadVariableOp;functional_1_batch_normalization_16_readvariableop_resource*
_output_shapes	
:�*
dtype024
2functional_1/batch_normalization_16/ReadVariableOp�
4functional_1/batch_normalization_16/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_16_readvariableop_1_resource*
_output_shapes	
:�*
dtype026
4functional_1/batch_normalization_16/ReadVariableOp_1�
Cfunctional_1/batch_normalization_16/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_16_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype02E
Cfunctional_1/batch_normalization_16/FusedBatchNormV3/ReadVariableOp�
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�
Cfunctional_1/batch_normalization_17/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_17_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype02E
Cfunctional_1/batch_normalization_17/FusedBatchNormV3/ReadVariableOp�
Efunctional_1/batch_normalization_17/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_17_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02G
Efunctional_1/batch_normalization_17/FusedBatchNormV3/ReadVariableOp_1�
4functional_1/batch_normalization_17/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_17/Conv2D:output:0:functional_1/batch_normalization_17/ReadVariableOp:value:0<functional_1/batch_normalization_17/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_17/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_17/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:����������:�:�:�:�:*
epsilon%o�:*
is_training(26
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�
functional_1/conv2d_20/Conv2DConv2D3functional_1/leaky_re_lu_12/LeakyRelu:activations:04functional_1/conv2d_20/Conv2D/ReadVariableOp:value:0*
T0*/
_output_shapes
:���������&&@*
paddingSAME*
strides
2
functional_1/conv2d_20/Conv2D�
,functional_1/conv2d_19/Conv2D/ReadVariableOpReadVariableOp5functional_1_conv2d_19_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02.
,functional_1/conv2d_19/Conv2D/ReadVariableOp�
functional_1/conv2d_19/Conv2DConv2D3functional_1/leaky_re_lu_18/LeakyRelu:activations:04functional_1/conv2d_19/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:����������*
paddingSAME*
strides
2
functional_1/conv2d_19/Conv2D�
2functional_1/batch_normalization_20/ReadVariableOpReadVariableOp;functional_1_batch_normalization_20_readvariableop_resource*
_output_shapes
:@*
dtype024
2functional_1/batch_normalization_20/ReadVariableOp�
4functional_1/batch_normalization_20/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_20_readvariableop_1_resource*
_output_shapes
:@*
dtype026
4functional_1/batch_normalization_20/ReadVariableOp_1�
Cfunctional_1/batch_normalization_20/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_20_fusedbatchnormv3_readvariableop_resource*
_output_shapes
:@*
dtype02E
Cfunctional_1/batch_normalization_20/FusedBatchNormV3/ReadVariableOp�
Efunctional_1/batch_normalization_20/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_20_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes
:@*
dtype02G
Efunctional_1/batch_normalization_20/FusedBatchNormV3/ReadVariableOp_1�
4functional_1/batch_normalization_20/FusedBatchNormV3FusedBatchNormV3&functional_1/conv2d_20/Conv2D:output:0:functional_1/batch_normalization_20/ReadVariableOp:value:0<functional_1/batch_normalization_20/ReadVariableOp_1:value:0Kfunctional_1/batch_normalization_20/FusedBatchNormV3/ReadVariableOp:value:0Mfunctional_1/batch_normalization_20/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*K
_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/SpaceToDepthSpaceToDepth3functional_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�
2functional_1/batch_normalization_21/ReadVariableOpReadVariableOp;functional_1_batch_normalization_21_readvariableop_resource*
_output_shapes	
:�*
dtype024
2functional_1/batch_normalization_21/ReadVariableOp�
4functional_1/batch_normalization_21/ReadVariableOp_1ReadVariableOp=functional_1_batch_normalization_21_readvariableop_1_resource*
_output_shapes	
:�*
dtype026
4functional_1/batch_normalization_21/ReadVariableOp_1�
Cfunctional_1/batch_normalization_21/FusedBatchNormV3/ReadVariableOpReadVariableOpLfunctional_1_batch_normalization_21_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype02E
Cfunctional_1/batch_normalization_21/FusedBatchNormV3/ReadVariableOp�
Efunctional_1/batch_normalization_21/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpNfunctional_1_batch_normalization_21_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02G
Efunctional_1/batch_normalization_21/FusedBatchNormV3/ReadVariableOp_1�
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�
�:�����������:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::ZV
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*
valueB
*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"
 :���������&&�::XT
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:ie
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.
,:���������&&�:::::XT
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

GPU2J8�*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:XT
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

GPU2J8�*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:XT
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*
valueB
*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

GPU2J8�*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������������������������������������:rn
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@
>:,����������������������������:::::jf
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

GPU2J8�*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:jf
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

GPU2J8�*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:XT
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

GPU2J8�*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:YU
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

GPU2J8�*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:YU
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?
=:+���������������������������@:::::ie
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

GPU2J8�*(
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:ZV
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

GPU2J8�*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:XT
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

GPU2J8�*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:XT
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

GPU2J8�*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
:����������:XT
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:XT
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*
valueB
*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"
 :����������::XT
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
:����������� :YU
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:jf
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.
,:����������:::::XT
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 
:������������:ZV
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�:XT
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*
valueB
*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"
 :����������::XT
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:jf
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*
valueB
*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#
!:����������� ::YU
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*
valueB
*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"
 :����������::XT
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

GPU2J8�*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:jf
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:XT
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

GPU2J8�*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:XT
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*
valueB
*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#
!:����������� ::YU
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:jf
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

GPU2J8�*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:jf
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:jf
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

GPU2J8�*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:XT
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

GPU2J8�*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:XT
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:jf
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*
valueB
*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"
 :���������&&�::XT
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*
valueB
*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"
 :���������&&�::XT
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@
>:,����������������������������:::::jf
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

GPU2J8�*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:ie
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.
,:����������:::::XT
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*
valueB
*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"
 :����������::XT
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

GPU2J8�*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:YU
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:XT
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

GPU2J8�*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:XT
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

GPU2J8�*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:XT
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�:::::XT
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:XT
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

GPU2J8�*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:WS
/
_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

GPU2J8�*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
:���������&&@:WS
/
_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:jf
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

GPU2J8�*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:jf
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@
>:,����������������������������:::::jf
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

GPU2J8�*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�:XT
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*
valueB
*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"
 :���������&&�::XT
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*
valueB
*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"
 :����������::XT
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@
>:,����������������������������:::::jf
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

GPU2J8�*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
:����������:XT
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
.:������������:::::ZV
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:ie
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:XT
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:����������:����������:ZV
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:XT
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

GPU2J8�*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:ie
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*
valueB
*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"
 :���������&&�::XT
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
BB.part2
Const�
Const_1Const"
/device:CPU:**
_output_shapes
:*
dtype0*<
value3B1B+_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
value�3B�3qB6layer_with_weights-0/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-1/gamma/.ATTRIBUTES/VARIABLE_VALUEB4layer_with_weights-1/beta/.ATTRIBUTES/VARIABLE_VALUEB;layer_with_weights-1/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB?layer_with_weights-1/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-2/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-3/gamma/.ATTRIBUTES/VARIABLE_VALUEB4layer_with_weights-3/beta/.ATTRIBUTES/VARIABLE_VALUEB;layer_with_weights-3/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB?layer_with_weights-3/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-4/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-5/gamma/.ATTRIBUTES/VARIABLE_VALUEB4layer_with_weights-5/beta/.ATTRIBUTES/VARIABLE_VALUEB;layer_with_weights-5/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB?layer_with_weights-5/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-6/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-7/gamma/.ATTRIBUTES/VARIABLE_VALUEB4layer_with_weights-7/beta/.ATTRIBUTES/VARIABLE_VALUEB;layer_with_weights-7/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB?layer_with_weights-7/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-8/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-9/gamma/.ATTRIBUTES/VARIABLE_VALUEB4layer_with_weights-9/beta/.ATTRIBUTES/VARIABLE_VALUEB;layer_with_weights-9/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB?layer_with_weights-9/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-10/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-11/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-11/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-11/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-11/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-12/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-13/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-13/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-13/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-13/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-14/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-15/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-15/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-15/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-15/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-16/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-17/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-17/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-17/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-17/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-18/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-19/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-19/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-19/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-19/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-20/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-21/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-21/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-21/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-21/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-22/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-23/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-23/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-23/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-23/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-24/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-25/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-25/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-25/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-25/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-26/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-27/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-27/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-27/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-27/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-28/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-29/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-29/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-29/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-29/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-30/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-31/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-31/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-31/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-31/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-32/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-33/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-33/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-33/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-33/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-34/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-35/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-35/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-35/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-35/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-36/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-37/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-37/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-37/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-37/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-38/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-39/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-39/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-39/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-39/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-40/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-41/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-41/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-41/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-41/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-42/kernel/.ATTRIBUTES/VARIABLE_VALUEB6layer_with_weights-43/gamma/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-43/beta/.ATTRIBUTES/VARIABLE_VALUEB<layer_with_weights-43/moving_mean/.ATTRIBUTES/VARIABLE_VALUEB@layer_with_weights-43/moving_variance/.ATTRIBUTES/VARIABLE_VALUEB7layer_with_weights-44/kernel/.ATTRIBUTES/VARIABLE_VALUEB5layer_with_weights-44/bias/.ATTRIBUTES/VARIABLE_VALUEB_CHECKPOINTABLE_OBJECT_GRAPH2
SaveV2/tensor_names�
SaveV2/shape_and_slicesConst"
/device:CPU:0*
_output_shapes
:q*
dtype0*�
value�B�qBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB2
SaveV2/shape_and_slices�4
SaveV2SaveV2ShardedFilename:filename:0SaveV2/tensor_names:output:0 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_readvariableopAsavev2_batch_normalization_17_moving_variance_read_readvariableop+savev2_conv2d_18_kernel_read_readvariableop7savev2_batch_normalization_18_gamma_read_readvariableop6savev2_batch_normalization_18_beta_read_readvariableop=savev2_batch_normalization_18_moving_mean_read_readvariableopAsavev2_batch_normalization_18_moving_variance_read_readvariableop+savev2_conv2d_20_kernel_read_readvariableop7savev2_batch_normalization_20_gamma_read_readvariableop6savev2_batch_normalization_20_beta_read_readvariableop=savev2_batch_normalization_20_moving_mean_read_readvariableopAsavev2_batch_normalization_20_moving_variance_read_readvariableop+savev2_conv2d_19_kernel_read_readvariableop7savev2_batch_normalization_19_gamma_read_readvariableop6savev2_batch_normalization_19_beta_read_readvariableop=savev2_batch_normalization_19_moving_mean_read_readvariableopAsavev2_batch_normalization_19_moving_variance_read_readvariableop+savev2_conv2d_21_kernel_read_readvariableop7savev2_batch_normalization_21_gamma_read_readvariableop6savev2_batch_normalization_21_beta_read_readvariableop=savev2_batch_normalization_21_moving_mean_read_readvariableopAsavev2_batch_normalization_21_moving_variance_read_readvariableop+savev2_conv2d_22_kernel_read_readvariableop)savev2_conv2d_22_bias_read_readvariableopsavev2_const"
/device:CPU:0*
_output_shapes
*
dtypesu
s2q2
SaveV2�
&MergeV2Checkpoints/checkpoint_prefixesPackShardedFilename:filename:0^SaveV2"
/device:CPU:0*
N*
T0*
_output_shapes
:2(
&MergeV2Checkpoints/checkpoint_prefixes�
MergeV2CheckpointsMergeV2Checkpoints/MergeV2Checkpoints/checkpoint_prefixes:output:0file_prefix"
/device:CPU:0*
_output_shapes
2
MergeV2Checkpointsr
IdentityIdentityfile_prefix^MergeV2Checkpoints"
/device:CPU:0*
T0*
_output_shapes
:2

Identitym

Identity_1IdentityIdentity:output:0^MergeV2Checkpoints*
T0*
_output_shapes
:2

Identity_1"!

identity_1Identity_1:output:0*�

_input_shapes�
�:: : : : : : @:@:@:@:@:@�:�:�:�:�:�@:@:@:@:@:@�:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:��:�:�:�:�:�@:@:@:@:@:��:�:�:�:�:�
�:�:�:�:�:��:�:2(
MergeV2CheckpointsMergeV2Checkpoints:C?

_output_shapes
:
%
_user_specified_name
file_prefix:,(
&
_output_shapes
: : 

_output_shapes
: : 

_output_shapes
: : 

_output_shapes
: : 

_output_shapes
: :,(
&
_output_shapes
: @: 

_output_shapes
:@: 

_output_shapes
:@: 	

_output_shapes
:@: 


_output_shapes
:@:-)
'
_output_shapes
:@�:!

_output_shapes	
:�:!


_output_shapes	
:�:!

_output_shapes	
:�:!

_output_shapes	
:�:-)
'
_output_shapes
:�@: 

_output_shapes
:@: 

_output_shapes
:@: 

_output_shapes
:@: 

_output_shapes
:@:-)
'
_output_shapes
:@�:!

_output_shapes	
:�:!

_output_shapes	
:�:!

_output_shapes	
:�:!

_output_shapes	
:�:.*
(
_output_shapes
:��:!

_output_shapes	
:�:!

_output_shapes	
:�:!

_output_shapes	
:�:!

_output_shapes	
:�:.*
(
_output_shapes
:��:! 

_output_shapes	
:�:!!

_output_shapes	
:�:!"

_output_shapes	
:�:!#

_output_shapes	
:�:.$*
(
_output_shapes
:��:!%

_output_shapes	
:�:!&

_output_shapes	
:�:!'

_output_shapes	
:�:!(

_output_shapes	
:�:.)*
(
_output_shapes
:��:!*

_output_shapes	
:�:!+

_output_shapes	
:�:!,

_output_shapes	
:�:!-

_output_shapes	
:�:..*
(
_output_shapes
:��:!/

_output_shapes	
:�:!0

_output_shapes	
:�:!1

_output_shapes	
:�:!2

_output_shapes	
:�:.3*
(
_output_shapes
:��:!4

_output_shapes	
:�:!5

_output_shapes	
:�:!6

_output_shapes	
:�:!7

_output_shapes	
:�:.8*
(
_output_shapes
:��:!9

_output_shapes	
:�:!:

_output_shapes	
:�:!;

_output_shapes	
:�:!<

_output_shapes	
:�:.=*
(
_output_shapes
:��:!>

_output_shapes	
:�:!?

_output_shapes	
:�:!@

_output_shapes	
:�:!A

_output_shapes	
:�:.B*
(
_output_shapes
:��:!C

_output_shapes	
:�:!D

_output_shapes	
:�:!E

_output_shapes	
:�:!F

_output_shapes	
:�:.G*
(
_output_shapes
:��:!H

_output_shapes	
:�:!I

_output_shapes	
:�:!J

_output_shapes	
:�:!K

_output_shapes	
:�:.L*
(
_output_shapes
:��:!M

_output_shapes	
:�:!N

_output_shapes	
:�:!O

_output_shapes	
:�:!P

_output_shapes	
:�:.Q*
(
_output_shapes
:��:!R

_output_shapes	
:�:!S

_output_shapes	
:�:!T

_output_shapes	
:�:!U

_output_shapes	
:�:.V*
(
_output_shapes
:��:!W

_output_shapes	
:�:!X

_output_shapes	
:�:!Y

_output_shapes	
:�:!Z

_output_shapes	
:�:.[*
(
_output_shapes
:��:!\

_output_shapes	
:�:!]

_output_shapes	
:�:!^

_output_shapes	
:�:!_

_output_shapes	
:�:-`)
'
_output_shapes
:�@: a

_output_shapes
:@: b

_output_shapes
:@: c

_output_shapes
:@: d

_output_shapes
:@:.e*
(
_output_shapes
:��:!f

_output_shapes	
:�:!g

_output_shapes	
:�:!h

_output_shapes	
:�:!i

_output_shapes	
:�:.j*
(
_output_shapes
:�
�:!k

_output_shapes	
:�:!l

_output_shapes	
:�:!m

_output_shapes	
:�:!n

_output_shapes	
:�:.o*
(
_output_shapes
:��:!p

_output_shapes	
:�:q

_output_shapes
:
�
�
P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_6146

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.
,:���������&&�:::::XT
0
_output_shapes
:���������&&�
 
_user_specified_nameinputs
�
e
I__inference_leaky_re_lu_13_layer_call_and_return_conditional_losses_13561

inputs
identitym
	LeakyRelu	LeakyReluinputs*0
_output_shapes
:����������*
alpha%���=2
	LeakyRelut
IdentityIdentityLeakyRelu:activations:0*
T0*0
_output_shapes
:����������2

Identity"
identityIdentity:output:0*/

_input_shapes
:����������:XT
0
_output_shapes
:����������
 
_user_specified_nameinputs
�
�
O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_5906

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:XT
0
_output_shapes
:���������&&�
 
_user_specified_nameinputs
�
I
-__inference_leaky_re_lu_1_layer_call_fn_11598

inputs
identity�
PartitionedCallPartitionedCallinputs*
Tin
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_1_layer_call_and_return_conditional_losses_50742
PartitionedCallv
IdentityIdentityPartitionedCall:output:0*
T0*1
_output_shapes
:�����������@2

Identity"
identityIdentity:output:0*0

_input_shapes
:�����������@:YU
1
_output_shapes
:�����������@
 
_user_specified_nameinputs
�
e
I__inference_leaky_re_lu_17_layer_call_and_return_conditional_losses_14217

inputs
identitym
	LeakyRelu	LeakyReluinputs*0
_output_shapes
:����������*
alpha%���=2
	LeakyRelut
IdentityIdentityLeakyRelu:activations:0*
T0*0
_output_shapes
:����������2

Identity"
identityIdentity:output:0*/

_input_shapes
:����������:XT
0
_output_shapes
:����������
 
_user_specified_nameinputs
�
�
Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13202

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.
,:���������&&�:::::XT
0
_output_shapes
:���������&&�
 
_user_specified_nameinputs
�
�
5__inference_batch_normalization_7_layer_call_fn_12495

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

GPU2J8�*X
fSRQ
O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_33332
StatefulPartitionedCall�
IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall*
T0*B
_output_shapes0
.:,����������������������������2

Identity"
identityIdentity:output:0*Q

_input_shapes@
>:,����������������������������::::22
StatefulPartitionedCallStatefulPartitionedCall:jf
B
_output_shapes0
.:,����������������������������
 
_user_specified_nameinputs
�
�
Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14875

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@
>:,����������������������������:::::jf
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?
=:+��������������������������� :::::ie
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

GPU2J8�*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:YU
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
:���������&&�:XT
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:jf
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

GPU2J8�*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
:���������&&�:XT
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*
valueB
*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"
 :���������&&�::XT
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�:::::XT
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
:���������&&�:XT
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*
valueB
*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"
 :���������&&�::XT
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*
valueB
*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"
 :���������&&�::XT
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*
valueB
*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

GPU2J8�*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������������������������������������:rn
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

GPU2J8�*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:XT
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������������������������������������:rn
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@
>:,����������������������������:::::jf
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

GPU2J8�*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:XT
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

GPU2J8�*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:XT
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:ZV
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/
-:����������� :::::YU
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

GPU2J8�*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 
:������������:ZV
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�:XT
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:XT
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:jf
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

GPU2J8�*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:XT
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

GPU2J8�*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:XT
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

GPU2J8�*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:jf
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*
valueB
*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:jf
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
:����������:XT
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:jf
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
:����������:XT
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

GPU2J8�*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
:���������&&�:XT
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
:����������:XT
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@
>:,����������������������������:::::jf
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/
-:�����������@:::::YU
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*
valueB
*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"
 :����������::XT
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@
>:,����������������������������:::::jf
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
:����������:XT
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:XT
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

GPU2J8�*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:jf
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*
valueB
*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"
 :����������::XT
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:ie
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

GPU2J8�*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
:����������:XT
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

GPU2J8�*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:XT
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@
>:,����������������������������:::::jf
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*
valueB
*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#
!:�����������::YU
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/
-:����������� :::::YU
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

GPU2J8�*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:WS
/
_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*
valueB
*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
:����������:XT
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@
>:,����������������������������:::::jf
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
:���������&&�:XT
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@
>:,����������������������������:::::jf
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*
valueB
*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"
 :����������
::XT
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:XT
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

GPU2J8�*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:jf
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� 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�
conv2d/StatefulPartitionedCallStatefulPartitionedCallinput_1conv2d_4881*
Tin
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:����������� *#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*I
fDRB
@__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

GPU2J8�*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

GPU2J8�*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
2*
_collective_manager_ids
*1
_output_shapes
:����������� * 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_max_pooling2d_layer_call_and_return_conditional_losses_26172
max_pooling2d/PartitionedCall�
 conv2d_1/StatefulPartitionedCallStatefulPartitionedCall&max_pooling2d/PartitionedCall:output:0
conv2d_1_4993*
Tin
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
B__inference_conv2d_1_layer_call_and_return_conditional_losses_49842"
 conv2d_1/StatefulPartitionedCall�
-batch_normalization_1/StatefulPartitionedCallStatefulPartitionedCall)conv2d_1/StatefulPartitionedCall:output:0batch_normalization_1_5060batch_normalization_1_5062batch_normalization_1_5064batch_normalization_1_5066*
Tin	
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*X
fSRQ
O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_56832/
-batch_normalization_7/StatefulPartitionedCall�
leaky_re_lu_7/PartitionedCallPartitionedCall6batch_normalization_7/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_7_layer_call_and_return_conditional_losses_57422
leaky_re_lu_7/PartitionedCall�
max_pooling2d_3/PartitionedCallPartitionedCall&leaky_re_lu_7/PartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*R
fMRK
I__inference_max_pooling2d_3_layer_call_and_return_conditional_losses_33812!
max_pooling2d_3/PartitionedCall�
 conv2d_8/StatefulPartitionedCallStatefulPartitionedCall(max_pooling2d_3/PartitionedCall:output:0
conv2d_8_5773*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
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_5840batch_normalization_8_5842batch_normalization_8_5844batch_normalization_8_5846*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_8_layer_call_and_return_conditional_losses_57952/
-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

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_8_layer_call_and_return_conditional_losses_58542
leaky_re_lu_8/PartitionedCall�
 conv2d_9/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_8/PartitionedCall:output:0
conv2d_9_5884*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
B__inference_conv2d_9_layer_call_and_return_conditional_losses_58752"
 conv2d_9/StatefulPartitionedCall�
-batch_normalization_9/StatefulPartitionedCallStatefulPartitionedCall)conv2d_9/StatefulPartitionedCall:output:0batch_normalization_9_5951batch_normalization_9_5953batch_normalization_9_5955batch_normalization_9_5957*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_59062/
-batch_normalization_9/StatefulPartitionedCall�
leaky_re_lu_9/PartitionedCallPartitionedCall6batch_normalization_9/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_9_layer_call_and_return_conditional_losses_59652
leaky_re_lu_9/PartitionedCall�
!conv2d_10/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_9/PartitionedCall:output:0conv2d_10_5995*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_10_layer_call_and_return_conditional_losses_59862#
!conv2d_10/StatefulPartitionedCall�
.batch_normalization_10/StatefulPartitionedCallStatefulPartitionedCall*conv2d_10/StatefulPartitionedCall:output:0batch_normalization_10_6062batch_normalization_10_6064batch_normalization_10_6066batch_normalization_10_6068*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_601720
.batch_normalization_10/StatefulPartitionedCall�
leaky_re_lu_10/PartitionedCallPartitionedCall7batch_normalization_10/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_10_layer_call_and_return_conditional_losses_60762 
leaky_re_lu_10/PartitionedCall�
!conv2d_11/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_10/PartitionedCall:output:0conv2d_11_6106*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_11_layer_call_and_return_conditional_losses_60972#
!conv2d_11/StatefulPartitionedCall�
.batch_normalization_11/StatefulPartitionedCallStatefulPartitionedCall*conv2d_11/StatefulPartitionedCall:output:0batch_normalization_11_6173batch_normalization_11_6175batch_normalization_11_6177batch_normalization_11_6179*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_612820
.batch_normalization_11/StatefulPartitionedCall�
leaky_re_lu_11/PartitionedCallPartitionedCall7batch_normalization_11/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_11_layer_call_and_return_conditional_losses_61872 
leaky_re_lu_11/PartitionedCall�
!conv2d_12/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_11/PartitionedCall:output:0conv2d_12_6217*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_12_layer_call_and_return_conditional_losses_62082#
!conv2d_12/StatefulPartitionedCall�
.batch_normalization_12/StatefulPartitionedCallStatefulPartitionedCall*conv2d_12/StatefulPartitionedCall:output:0batch_normalization_12_6284batch_normalization_12_6286batch_normalization_12_6288batch_normalization_12_6290*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_623920
.batch_normalization_12/StatefulPartitionedCall�
leaky_re_lu_12/PartitionedCallPartitionedCall7batch_normalization_12/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_12_layer_call_and_return_conditional_losses_62982 
leaky_re_lu_12/PartitionedCall�
max_pooling2d_4/PartitionedCallPartitionedCall'leaky_re_lu_12/PartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*R
fMRK
I__inference_max_pooling2d_4_layer_call_and_return_conditional_losses_39132!
max_pooling2d_4/PartitionedCall�
!conv2d_13/StatefulPartitionedCallStatefulPartitionedCall(max_pooling2d_4/PartitionedCall:output:0conv2d_13_6329*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_13_layer_call_and_return_conditional_losses_63202#
!conv2d_13/StatefulPartitionedCall�
.batch_normalization_13/StatefulPartitionedCallStatefulPartitionedCall*conv2d_13/StatefulPartitionedCall:output:0batch_normalization_13_6396batch_normalization_13_6398batch_normalization_13_6400batch_normalization_13_6402*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_635120
.batch_normalization_13/StatefulPartitionedCall�
leaky_re_lu_13/PartitionedCallPartitionedCall7batch_normalization_13/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_13_layer_call_and_return_conditional_losses_64102 
leaky_re_lu_13/PartitionedCall�
!conv2d_14/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_13/PartitionedCall:output:0conv2d_14_6440*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_14_layer_call_and_return_conditional_losses_64312#
!conv2d_14/StatefulPartitionedCall�
.batch_normalization_14/StatefulPartitionedCallStatefulPartitionedCall*conv2d_14/StatefulPartitionedCall:output:0batch_normalization_14_6507batch_normalization_14_6509batch_normalization_14_6511batch_normalization_14_6513*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_646220
.batch_normalization_14/StatefulPartitionedCall�
leaky_re_lu_14/PartitionedCallPartitionedCall7batch_normalization_14/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_14_layer_call_and_return_conditional_losses_65212 
leaky_re_lu_14/PartitionedCall�
!conv2d_15/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_14/PartitionedCall:output:0conv2d_15_6551*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_15_layer_call_and_return_conditional_losses_65422#
!conv2d_15/StatefulPartitionedCall�
.batch_normalization_15/StatefulPartitionedCallStatefulPartitionedCall*conv2d_15/StatefulPartitionedCall:output:0batch_normalization_15_6618batch_normalization_15_6620batch_normalization_15_6622batch_normalization_15_6624*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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_6662*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_6729batch_normalization_16_6731batch_normalization_16_6733batch_normalization_16_6735*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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_6773*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_6840batch_normalization_17_6842batch_normalization_17_6844batch_normalization_17_6846*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_679520
.batch_normalization_17/StatefulPartitionedCall�
leaky_re_lu_17/PartitionedCallPartitionedCall7batch_normalization_17/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_17_layer_call_and_return_conditional_losses_68542 
leaky_re_lu_17/PartitionedCall�
!conv2d_18/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_17/PartitionedCall:output:0conv2d_18_6884*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_18_layer_call_and_return_conditional_losses_68752#
!conv2d_18/StatefulPartitionedCall�
.batch_normalization_18/StatefulPartitionedCallStatefulPartitionedCall*conv2d_18/StatefulPartitionedCall:output:0batch_normalization_18_6951batch_normalization_18_6953batch_normalization_18_6955batch_normalization_18_6957*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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_6995*
Tin
2*
Tout
2*
_collective_manager_ids
*/
_output_shapes
:���������&&@*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_7020*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_7087batch_normalization_20_7089batch_normalization_20_7091batch_normalization_20_7093*
Tin	
2*
Tout
2*
_collective_manager_ids
*/
_output_shapes
:���������&&@*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_7160batch_normalization_19_7162batch_normalization_19_7164batch_normalization_19_7166*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*N
fIRG
E__inference_concatenate_layer_call_and_return_conditional_losses_72252
concatenate/PartitionedCall�
!conv2d_21/StatefulPartitionedCallStatefulPartitionedCall$concatenate/PartitionedCall:output:0conv2d_21_7256*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_21_layer_call_and_return_conditional_losses_72472#
!conv2d_21/StatefulPartitionedCall�
.batch_normalization_21/StatefulPartitionedCallStatefulPartitionedCall*conv2d_21/StatefulPartitionedCall:output:0batch_normalization_21_7323batch_normalization_21_7325batch_normalization_21_7327batch_normalization_21_7329*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_727820
.batch_normalization_21/StatefulPartitionedCall�
leaky_re_lu_21/PartitionedCallPartitionedCall7batch_normalization_21/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
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_7372conv2d_22_7374*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*$
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_22_layer_call_and_return_conditional_losses_73612#
!conv2d_22/StatefulPartitionedCall�
/conv2d/kernel/Regularizer/Square/ReadVariableOpReadVariableOpconv2d_4881*&
_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$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/Sum�
conv2d/kernel/Regularizer/mul/xConst*
_output_shapes
:*
dtype0*
valueB
*o:2!
conv2d/kernel/Regularizer/mul/x�
conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/mul�
1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp
conv2d_1_4993*&
_output_shapes
: @*
dtype023
1conv2d_1/kernel/Regularizer/Square/ReadVariableOp�
"conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0*
T0*&
_output_shapes
: @2$
"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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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:ZV
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.
,:����������:::::XT
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

GPU2J8�*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:XT
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
:����������:XT
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:jf
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.
,:����������:::::XT
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:XT
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?
=:+���������������������������@:::::ie
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-
+:���������&&@:::::WS
/
_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:jf
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*
valueB
*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.
,:����������:::::XT
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:ZV
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
:�����������@:YU
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
.:������������:::::ZV
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*
valueB
*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�::XT
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:XT
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@
>:,����������������������������:::::jf
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:YU
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*
valueB
*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&
$:����������:::XT
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:XT
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
:���������&&�:XT
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*
valueB
*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:jf
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@
>:,����������������������������:::::jf
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

GPU2J8�*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
:����������:XT
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?
=:+���������������������������@:::::ie
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

GPU2J8�*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:jf
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

GPU2J8�*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:XT
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:XT
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

GPU2J8�*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:YU
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:jf
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

GPU2J8�*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
:����������:XT
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:ZV
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

GPU2J8�*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������������������������������������:rn
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

GPU2J8�*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:jf
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@
>:,����������������������������:::::jf
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@
>:,����������������������������:::::jf
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.
,:����������:::::XT
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:XT
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:XT
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

GPU2J8�*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 
:������������:ZV
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

GPU2J8�*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:ie
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@
>:,����������������������������:::::jf
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:YU
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:ie
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

GPU2J8�*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:XT
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

GPU2J8�*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
:����������:XT
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

GPU2J8�*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:jf
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

GPU2J8�*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
:����������� :YU
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
:���������&&@:WS
/
_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

GPU2J8�*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:XT
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

GPU2J8�*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:ie
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

GPU2J8�*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:XT
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:jf
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

GPU2J8�*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:jf
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

GPU2J8�*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:jf
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:jf
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.
,:����������:::::XT
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

GPU2J8�*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:XT
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
:���������&&�:XT
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*
valueB
*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?
=:+���������������������������@:::::ie
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
:���������&&�:XT
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@
>:,����������������������������:::::jf
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@
>:,����������������������������:::::jf
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:jf
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

GPU2J8�*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:jf
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
.:������������:::::ZV
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������������������������������������:rn
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

GPU2J8�*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:XT
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

GPU2J8�*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:XT
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*
valueB
*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#
!:�����������@::YU
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*
valueB
*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#
!:�����������@::YU
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*
valueB
*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"
 :���������&&�::XT
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

GPU2J8�*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:XT
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
:�����������@:YU
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/
-:�����������@:::::YU
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@
>:,����������������������������:::::jf
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*
valueB
*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�::XT
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

GPU2J8�*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:jf
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
:����������� :YU
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

GPU2J8�*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:YU
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
batch_normalization_21_8918
batch_normalization_21_8920
conv2d_22_8924
conv2d_22_8926
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� 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�
conv2d/StatefulPartitionedCallStatefulPartitionedCallinputsconv2d_8631*
Tin
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:����������� *#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*I
fDRB
@__inference_conv2d_layer_call_and_return_conditional_losses_48722 
conv2d/StatefulPartitionedCall�
+batch_normalization/StatefulPartitionedCallStatefulPartitionedCall'conv2d/StatefulPartitionedCall:output:0batch_normalization_8634batch_normalization_8636batch_normalization_8638batch_normalization_8640*
Tin	
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:����������� *&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*V
fQRO
M__inference_batch_normalization_layer_call_and_return_conditional_losses_49212-
+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

GPU2J8�*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
2*
_collective_manager_ids
*1
_output_shapes
:����������� * 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_max_pooling2d_layer_call_and_return_conditional_losses_26172
max_pooling2d/PartitionedCall�
 conv2d_1/StatefulPartitionedCallStatefulPartitionedCall&max_pooling2d/PartitionedCall:output:0
conv2d_1_8645*
Tin
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
B__inference_conv2d_1_layer_call_and_return_conditional_losses_49842"
 conv2d_1/StatefulPartitionedCall�
-batch_normalization_1/StatefulPartitionedCallStatefulPartitionedCall)conv2d_1/StatefulPartitionedCall:output:0batch_normalization_1_8648batch_normalization_1_8650batch_normalization_1_8652batch_normalization_1_8654*
Tin	
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_1_layer_call_and_return_conditional_losses_50332/
-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

GPU2J8�*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

GPU2J8�*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_8659*
Tin
2*
Tout
2*
_collective_manager_ids
*2
_output_shapes 
:������������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8662batch_normalization_2_8664batch_normalization_2_8666batch_normalization_2_8668*
Tin	
2*
Tout
2*
_collective_manager_ids
*2
_output_shapes 
:������������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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_8672*
Tin
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8675batch_normalization_3_8677batch_normalization_3_8679batch_normalization_3_8681*
Tin	
2*
Tout
2*
_collective_manager_ids
*1
_output_shapes
:�����������@*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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
:�����������@* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8685*
Tin
2*
Tout
2*
_collective_manager_ids
*2
_output_shapes 
:������������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8688batch_normalization_4_8690batch_normalization_4_8692batch_normalization_4_8694*
Tin	
2*
Tout
2*
_collective_manager_ids
*2
_output_shapes 
:������������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_4_layer_call_and_return_conditional_losses_53672/
-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

GPU2J8�*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

GPU2J8�*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_8699*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8702batch_normalization_5_8704batch_normalization_5_8706batch_normalization_5_8708*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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_8712*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8715batch_normalization_6_8717batch_normalization_6_8719batch_normalization_6_8721*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_6_layer_call_and_return_conditional_losses_55902/
-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

GPU2J8�*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_8725*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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_8728batch_normalization_7_8730batch_normalization_7_8732batch_normalization_7_8734*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_7_layer_call_and_return_conditional_losses_57012/
-batch_normalization_7/StatefulPartitionedCall�
leaky_re_lu_7/PartitionedCallPartitionedCall6batch_normalization_7/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_7_layer_call_and_return_conditional_losses_57422
leaky_re_lu_7/PartitionedCall�
max_pooling2d_3/PartitionedCallPartitionedCall&leaky_re_lu_7/PartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*R
fMRK
I__inference_max_pooling2d_3_layer_call_and_return_conditional_losses_33812!
max_pooling2d_3/PartitionedCall�
 conv2d_8/StatefulPartitionedCallStatefulPartitionedCall(max_pooling2d_3/PartitionedCall:output:0
conv2d_8_8739*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
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_8742batch_normalization_8_8744batch_normalization_8_8746batch_normalization_8_8748*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_8_layer_call_and_return_conditional_losses_58542
leaky_re_lu_8/PartitionedCall�
 conv2d_9/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_8/PartitionedCall:output:0
conv2d_9_8752*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*K
fFRD
B__inference_conv2d_9_layer_call_and_return_conditional_losses_58752"
 conv2d_9/StatefulPartitionedCall�
-batch_normalization_9/StatefulPartitionedCallStatefulPartitionedCall)conv2d_9/StatefulPartitionedCall:output:0batch_normalization_9_8755batch_normalization_9_8757batch_normalization_9_8759batch_normalization_9_8761*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*X
fSRQ
O__inference_batch_normalization_9_layer_call_and_return_conditional_losses_59242/
-batch_normalization_9/StatefulPartitionedCall�
leaky_re_lu_9/PartitionedCallPartitionedCall6batch_normalization_9/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_9_layer_call_and_return_conditional_losses_59652
leaky_re_lu_9/PartitionedCall�
!conv2d_10/StatefulPartitionedCallStatefulPartitionedCall&leaky_re_lu_9/PartitionedCall:output:0conv2d_10_8765*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_10_layer_call_and_return_conditional_losses_59862#
!conv2d_10/StatefulPartitionedCall�
.batch_normalization_10/StatefulPartitionedCallStatefulPartitionedCall*conv2d_10/StatefulPartitionedCall:output:0batch_normalization_10_8768batch_normalization_10_8770batch_normalization_10_8772batch_normalization_10_8774*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_10_layer_call_and_return_conditional_losses_603520
.batch_normalization_10/StatefulPartitionedCall�
leaky_re_lu_10/PartitionedCallPartitionedCall7batch_normalization_10/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_10_layer_call_and_return_conditional_losses_60762 
leaky_re_lu_10/PartitionedCall�
!conv2d_11/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_10/PartitionedCall:output:0conv2d_11_8778*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_11_layer_call_and_return_conditional_losses_60972#
!conv2d_11/StatefulPartitionedCall�
.batch_normalization_11/StatefulPartitionedCallStatefulPartitionedCall*conv2d_11/StatefulPartitionedCall:output:0batch_normalization_11_8781batch_normalization_11_8783batch_normalization_11_8785batch_normalization_11_8787*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_11_layer_call_and_return_conditional_losses_614620
.batch_normalization_11/StatefulPartitionedCall�
leaky_re_lu_11/PartitionedCallPartitionedCall7batch_normalization_11/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_11_layer_call_and_return_conditional_losses_61872 
leaky_re_lu_11/PartitionedCall�
!conv2d_12/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_11/PartitionedCall:output:0conv2d_12_8791*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_12_layer_call_and_return_conditional_losses_62082#
!conv2d_12/StatefulPartitionedCall�
.batch_normalization_12/StatefulPartitionedCallStatefulPartitionedCall*conv2d_12/StatefulPartitionedCall:output:0batch_normalization_12_8794batch_normalization_12_8796batch_normalization_12_8798batch_normalization_12_8800*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_12_layer_call_and_return_conditional_losses_625720
.batch_normalization_12/StatefulPartitionedCall�
leaky_re_lu_12/PartitionedCallPartitionedCall7batch_normalization_12/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������&&�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_12_layer_call_and_return_conditional_losses_62982 
leaky_re_lu_12/PartitionedCall�
max_pooling2d_4/PartitionedCallPartitionedCall'leaky_re_lu_12/PartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*R
fMRK
I__inference_max_pooling2d_4_layer_call_and_return_conditional_losses_39132!
max_pooling2d_4/PartitionedCall�
!conv2d_13/StatefulPartitionedCallStatefulPartitionedCall(max_pooling2d_4/PartitionedCall:output:0conv2d_13_8805*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_13_layer_call_and_return_conditional_losses_63202#
!conv2d_13/StatefulPartitionedCall�
.batch_normalization_13/StatefulPartitionedCallStatefulPartitionedCall*conv2d_13/StatefulPartitionedCall:output:0batch_normalization_13_8808batch_normalization_13_8810batch_normalization_13_8812batch_normalization_13_8814*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_636920
.batch_normalization_13/StatefulPartitionedCall�
leaky_re_lu_13/PartitionedCallPartitionedCall7batch_normalization_13/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_13_layer_call_and_return_conditional_losses_64102 
leaky_re_lu_13/PartitionedCall�
!conv2d_14/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_13/PartitionedCall:output:0conv2d_14_8818*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_14_layer_call_and_return_conditional_losses_64312#
!conv2d_14/StatefulPartitionedCall�
.batch_normalization_14/StatefulPartitionedCallStatefulPartitionedCall*conv2d_14/StatefulPartitionedCall:output:0batch_normalization_14_8821batch_normalization_14_8823batch_normalization_14_8825batch_normalization_14_8827*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_14_layer_call_and_return_conditional_losses_648020
.batch_normalization_14/StatefulPartitionedCall�
leaky_re_lu_14/PartitionedCallPartitionedCall7batch_normalization_14/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_14_layer_call_and_return_conditional_losses_65212 
leaky_re_lu_14/PartitionedCall�
!conv2d_15/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_14/PartitionedCall:output:0conv2d_15_8831*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_15_layer_call_and_return_conditional_losses_65422#
!conv2d_15/StatefulPartitionedCall�
.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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*Y
fTRR
P__inference_batch_normalization_17_layer_call_and_return_conditional_losses_681320
.batch_normalization_17/StatefulPartitionedCall�
leaky_re_lu_17/PartitionedCallPartitionedCall7batch_normalization_17/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
H__inference_leaky_re_lu_17_layer_call_and_return_conditional_losses_68542 
leaky_re_lu_17/PartitionedCall�
!conv2d_18/StatefulPartitionedCallStatefulPartitionedCall'leaky_re_lu_17/PartitionedCall:output:0conv2d_18_8870*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_18_layer_call_and_return_conditional_losses_68752#
!conv2d_18/StatefulPartitionedCall�
.batch_normalization_18/StatefulPartitionedCallStatefulPartitionedCall*conv2d_18/StatefulPartitionedCall:output:0batch_normalization_18_8873batch_normalization_18_8875batch_normalization_18_8877batch_normalization_18_8879*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*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

GPU2J8�*N
fIRG
E__inference_concatenate_layer_call_and_return_conditional_losses_72252
concatenate/PartitionedCall�
!conv2d_21/StatefulPartitionedCallStatefulPartitionedCall$concatenate/PartitionedCall:output:0conv2d_21_8911*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*#
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*L
fGRE
C__inference_conv2d_21_layer_call_and_return_conditional_losses_72472#
!conv2d_21/StatefulPartitionedCall�
.batch_normalization_21/StatefulPartitionedCallStatefulPartitionedCall*conv2d_21/StatefulPartitionedCall:output:0batch_normalization_21_8914batch_normalization_21_8916batch_normalization_21_8918batch_normalization_21_8920*
Tin	
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������*&
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Y
fTRR
P__inference_batch_normalization_21_layer_call_and_return_conditional_losses_729620
.batch_normalization_21/StatefulPartitionedCall�
leaky_re_lu_21/PartitionedCallPartitionedCall7batch_normalization_21/StatefulPartitionedCall:output:0*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:����������* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*Q
fLRJ
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

GPU2J8�*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$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/Sum�
conv2d/kernel/Regularizer/mul/xConst*
_output_shapes
:*
dtype0*
valueB
*o:2!
conv2d/kernel/Regularizer/mul/x�
conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/mul�
1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp
conv2d_1_8645*&
_output_shapes
: @*
dtype023
1conv2d_1/kernel/Regularizer/Square/ReadVariableOp�
"conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0*
T0*&
_output_shapes
: @2$
"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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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�
 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*
valueB
*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_8778*(
_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*
valueB
*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_8791*(
_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*
valueB
*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_8805*(
_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*
valueB
*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_8818*(
_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*
valueB
*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_8831*(
_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*
valueB
*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_8844*(
_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*
valueB
*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_8857*(
_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*
valueB
*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_8870*(
_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*
valueB
*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_8883*'
_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*
valueB
*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_8886*(
_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*
valueB
*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_8911*(
_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*
valueB
*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_8924*(
_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*
valueB
*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:YU
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

GPU2J8�*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:XT
0
_output_shapes
:���������LL�
 
_user_specified_nameinputs
�
�
Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13612

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:jf
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:ZV
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

GPU2J8�*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:YU
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:XT
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:WS
/
_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:XT
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

GPU2J8�*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:YU
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:ie
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?
=:+���������������������������@:::::ie
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.
,:���������&&�:::::XT
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

GPU2J8�*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:XT
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

GPU2J8�*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:jf
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

GPU2J8�*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:XT
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:jf
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.
,:����������:::::XT
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�:XT
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
:���������&&�:XT
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

GPU2J8�*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:XT
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*
valueB
*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"
 :����������::XT
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@
>:,����������������������������:::::jf
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*
valueB
*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*
valueB
*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&
$:����������:::XT
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:XT
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*
valueB
*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@
>:,����������������������������:::::jf
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

GPU2J8�*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:jf
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:XT
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

GPU2J8�*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:jf
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
:����������:XT
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?
=:+���������������������������@:::::ie
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

GPU2J8�*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:jf
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.
,:����������:::::XT
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

GPU2J8�*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:jf
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

GPU2J8�*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:XT
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:jf
B
_output_shapes0
.:,����������������������������
 
_user_specified_nameinputs
�
g
K__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_7192

inputs
identity�
SpaceToDepthSpaceToDepthinputs*
T0*0
_output_shapes
:����������*

block_size2
SpaceToDepthr
IdentityIdentitySpaceToDepth:output:0*
T0*0
_output_shapes
:����������2

Identity"
identityIdentity:output:0*.

_input_shapes
:���������&&@:WS
/
_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:WS
/
_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

GPU2J8�*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
:���������&&�:XT
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*
valueB
*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"
 :����������::XT
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:jf
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

GPU2J8�*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�:XT
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.
,:���������&&�:::::XT
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

GPU2J8�*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:XT
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

GPU2J8�*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:����������:����������:ZV
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
:����������:XT
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

GPU2J8�*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:ie
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������������������������������������:rn
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
:����������:XT
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:ie
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:jf
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:jf
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.
,:����������:::::XT
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*
valueB
*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"
 :����������::XT
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

GPU2J8�*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:XT
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

GPU2J8�*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
:���������&&@:WS
/
_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@
>:,����������������������������:::::jf
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������������������������������������:rn
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

GPU2J8�*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:ie
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

GPU2J8�*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:jf
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*
valueB
*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"
 :����������
::XT
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

GPU2J8�*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
:����������:XT
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

GPU2J8�*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:XT
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

GPU2J8�*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:ie
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@
>:,����������������������������:::::jf
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.
,:����������:::::XT
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*
valueB
*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"
 :����������::XT
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

GPU2J8�*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:jf
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:YU
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

GPU2J8�*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:YU
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.
,:���������&&�:::::XT
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/
-:�����������@:::::YU
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*
valueB
*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

GPU2J8�*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:jf
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

GPU2J8�*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
:���������&&�:XT
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

GPU2J8�*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:jf
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*
valueB
*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

GPU2J8�*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:XT
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
:����������:XT
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

GPU2J8�*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:jf
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

GPU2J8�*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:XT
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*
valueB
*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"
 :����������::XT
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:XT
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�:::::XT
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.
,:���������&&�:::::XT
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@
>:,����������������������������:::::jf
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*
valueB
*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:XT
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

GPU2J8�*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:ZV
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:XT
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�
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*
valueB
*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/mulf
IdentityIdentity#conv2d_5/kernel/Regularizer/mul:z:0*
T0*
_output_shapes
:2

Identity"
identityIdentity:output:0*

_input_shapes
:
�
�
C__inference_conv2d_2_layer_call_and_return_conditional_losses_11617

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*
valueB
*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#
!:�����������@::YU
1
_output_shapes
:�����������@
 
_user_specified_nameinputs
�
�
5__inference_batch_normalization_4_layer_call_fn_12016

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

GPU2J8�*X
fSRQ
O__inference_batch_normalization_4_layer_call_and_return_conditional_losses_53672
StatefulPartitionedCall�
IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall*
T0*2
_output_shapes 
:������������2

Identity"
identityIdentity:output:0*A

_input_shapes0
.:������������::::22
StatefulPartitionedCallStatefulPartitionedCall:ZV
2
_output_shapes 
:������������
 
_user_specified_nameinputs
�
I
-__inference_leaky_re_lu_5_layer_call_fn_12254

inputs
identity�
PartitionedCallPartitionedCallinputs*
Tin
2*
Tout
2*
_collective_manager_ids
*0
_output_shapes
:���������LL�* 
_read_only_resource_inputs
*-
config_proto

CPU

GPU2J8�*P
fKRI
G__inference_leaky_re_lu_5_layer_call_and_return_conditional_losses_55202
PartitionedCallu
IdentityIdentityPartitionedCall:output:0*
T0*0
_output_shapes
:���������LL�2

Identity"
identityIdentity:output:0*/

_input_shapes
:���������LL�:XT
0
_output_shapes
:���������LL�
 
_user_specified_nameinputs
�
�
5__inference_batch_normalization_1_layer_call_fn_11588

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

GPU2J8�*X
fSRQ
O__inference_batch_normalization_1_layer_call_and_return_conditional_losses_50332
StatefulPartitionedCall�
IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall*
T0*1
_output_shapes
:�����������@2

Identity"
identityIdentity:output:0*@

_input_shapes/
-:�����������@::::22
StatefulPartitionedCallStatefulPartitionedCall:YU
1
_output_shapes
:�����������@
 
_user_specified_nameinputs
��
�3
G__inference_functional_1_layer_call_and_return_conditional_losses_10812

inputs)
%conv2d_conv2d_readvariableop_resource/
+batch_normalization_readvariableop_resource1
-batch_normalization_readvariableop_1_resource@
<batch_normalization_fusedbatchnormv3_readvariableop_resourceB
>batch_normalization_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_1_conv2d_readvariableop_resource1
-batch_normalization_1_readvariableop_resource3
/batch_normalization_1_readvariableop_1_resourceB
>batch_normalization_1_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_1_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_2_conv2d_readvariableop_resource1
-batch_normalization_2_readvariableop_resource3
/batch_normalization_2_readvariableop_1_resourceB
>batch_normalization_2_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_2_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_3_conv2d_readvariableop_resource1
-batch_normalization_3_readvariableop_resource3
/batch_normalization_3_readvariableop_1_resourceB
>batch_normalization_3_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_3_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_4_conv2d_readvariableop_resource1
-batch_normalization_4_readvariableop_resource3
/batch_normalization_4_readvariableop_1_resourceB
>batch_normalization_4_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_4_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_5_conv2d_readvariableop_resource1
-batch_normalization_5_readvariableop_resource3
/batch_normalization_5_readvariableop_1_resourceB
>batch_normalization_5_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_5_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_6_conv2d_readvariableop_resource1
-batch_normalization_6_readvariableop_resource3
/batch_normalization_6_readvariableop_1_resourceB
>batch_normalization_6_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_6_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_7_conv2d_readvariableop_resource1
-batch_normalization_7_readvariableop_resource3
/batch_normalization_7_readvariableop_1_resourceB
>batch_normalization_7_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_7_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_8_conv2d_readvariableop_resource1
-batch_normalization_8_readvariableop_resource3
/batch_normalization_8_readvariableop_1_resourceB
>batch_normalization_8_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_8_fusedbatchnormv3_readvariableop_1_resource+
'conv2d_9_conv2d_readvariableop_resource1
-batch_normalization_9_readvariableop_resource3
/batch_normalization_9_readvariableop_1_resourceB
>batch_normalization_9_fusedbatchnormv3_readvariableop_resourceD
@batch_normalization_9_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_10_conv2d_readvariableop_resource2
.batch_normalization_10_readvariableop_resource4
0batch_normalization_10_readvariableop_1_resourceC
?batch_normalization_10_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_10_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_11_conv2d_readvariableop_resource2
.batch_normalization_11_readvariableop_resource4
0batch_normalization_11_readvariableop_1_resourceC
?batch_normalization_11_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_11_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_12_conv2d_readvariableop_resource2
.batch_normalization_12_readvariableop_resource4
0batch_normalization_12_readvariableop_1_resourceC
?batch_normalization_12_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_12_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_13_conv2d_readvariableop_resource2
.batch_normalization_13_readvariableop_resource4
0batch_normalization_13_readvariableop_1_resourceC
?batch_normalization_13_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_13_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_14_conv2d_readvariableop_resource2
.batch_normalization_14_readvariableop_resource4
0batch_normalization_14_readvariableop_1_resourceC
?batch_normalization_14_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_14_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_15_conv2d_readvariableop_resource2
.batch_normalization_15_readvariableop_resource4
0batch_normalization_15_readvariableop_1_resourceC
?batch_normalization_15_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_15_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_16_conv2d_readvariableop_resource2
.batch_normalization_16_readvariableop_resource4
0batch_normalization_16_readvariableop_1_resourceC
?batch_normalization_16_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_16_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_17_conv2d_readvariableop_resource2
.batch_normalization_17_readvariableop_resource4
0batch_normalization_17_readvariableop_1_resourceC
?batch_normalization_17_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_17_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_18_conv2d_readvariableop_resource2
.batch_normalization_18_readvariableop_resource4
0batch_normalization_18_readvariableop_1_resourceC
?batch_normalization_18_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_18_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_20_conv2d_readvariableop_resource,
(conv2d_19_conv2d_readvariableop_resource2
.batch_normalization_20_readvariableop_resource4
0batch_normalization_20_readvariableop_1_resourceC
?batch_normalization_20_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_20_fusedbatchnormv3_readvariableop_1_resource2
.batch_normalization_19_readvariableop_resource4
0batch_normalization_19_readvariableop_1_resourceC
?batch_normalization_19_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_19_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_21_conv2d_readvariableop_resource2
.batch_normalization_21_readvariableop_resource4
0batch_normalization_21_readvariableop_1_resourceC
?batch_normalization_21_fusedbatchnormv3_readvariableop_resourceE
Abatch_normalization_21_fusedbatchnormv3_readvariableop_1_resource,
(conv2d_22_conv2d_readvariableop_resource-
)conv2d_22_biasadd_readvariableop_resource
identity��
conv2d/Conv2D/ReadVariableOpReadVariableOp%conv2d_conv2d_readvariableop_resource*&
_output_shapes
: *
dtype02
conv2d/Conv2D/ReadVariableOp�

conv2d/Conv2DConv2Dinputs$conv2d/Conv2D/ReadVariableOp:value:0*
T0*1
_output_shapes
:����������� *
paddingSAME*
strides
2

conv2d/Conv2D�
"batch_normalization/ReadVariableOpReadVariableOp+batch_normalization_readvariableop_resource*
_output_shapes
: *
dtype02$
"batch_normalization/ReadVariableOp�
$batch_normalization/ReadVariableOp_1ReadVariableOp-batch_normalization_readvariableop_1_resource*
_output_shapes
: *
dtype02&
$batch_normalization/ReadVariableOp_1�
3batch_normalization/FusedBatchNormV3/ReadVariableOpReadVariableOp<batch_normalization_fusedbatchnormv3_readvariableop_resource*
_output_shapes
: *
dtype025
3batch_normalization/FusedBatchNormV3/ReadVariableOp�
5batch_normalization/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp>batch_normalization_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes
: *
dtype027
5batch_normalization/FusedBatchNormV3/ReadVariableOp_1�
$batch_normalization/FusedBatchNormV3FusedBatchNormV3conv2d/Conv2D:output:0*batch_normalization/ReadVariableOp:value:0,batch_normalization/ReadVariableOp_1:value:0;batch_normalization/FusedBatchNormV3/ReadVariableOp:value:0=batch_normalization/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*M
_output_shapes;
9:����������� : : : : :*
epsilon%o�:*
is_training(2&
$batch_normalization/FusedBatchNormV3�
leaky_re_lu/LeakyRelu	LeakyRelu(batch_normalization/FusedBatchNormV3:y:0*1
_output_shapes
:����������� *
alpha%���=2
leaky_re_lu/LeakyRelu�
max_pooling2d/MaxPoolMaxPool#leaky_re_lu/LeakyRelu:activations:0*1
_output_shapes
:����������� *
ksize
*
paddingSAME*
strides
2
max_pooling2d/MaxPool�
conv2d_1/Conv2D/ReadVariableOpReadVariableOp'conv2d_1_conv2d_readvariableop_resource*&
_output_shapes
: @*
dtype02 
conv2d_1/Conv2D/ReadVariableOp�
conv2d_1/Conv2DConv2Dmax_pooling2d/MaxPool:output:0&conv2d_1/Conv2D/ReadVariableOp:value:0*
T0*1
_output_shapes
:�����������@*
paddingSAME*
strides
2
conv2d_1/Conv2D�
$batch_normalization_1/ReadVariableOpReadVariableOp-batch_normalization_1_readvariableop_resource*
_output_shapes
:@*
dtype02&
$batch_normalization_1/ReadVariableOp�
&batch_normalization_1/ReadVariableOp_1ReadVariableOp/batch_normalization_1_readvariableop_1_resource*
_output_shapes
:@*
dtype02(
&batch_normalization_1/ReadVariableOp_1�
5batch_normalization_1/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_1_fusedbatchnormv3_readvariableop_resource*
_output_shapes
:@*
dtype027
5batch_normalization_1/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_1/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_1_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes
:@*
dtype029
7batch_normalization_1/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_1/FusedBatchNormV3FusedBatchNormV3conv2d_1/Conv2D:output:0,batch_normalization_1/ReadVariableOp:value:0.batch_normalization_1/ReadVariableOp_1:value:0=batch_normalization_1/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_1/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*M
_output_shapes;
9:�����������@:@:@:@:@:*
epsilon%o�:*
is_training(2(
&batch_normalization_1/FusedBatchNormV3�
leaky_re_lu_1/LeakyRelu	LeakyRelu*batch_normalization_1/FusedBatchNormV3:y:0*1
_output_shapes
:�����������@*
alpha%���=2
leaky_re_lu_1/LeakyRelu�
max_pooling2d_1/MaxPoolMaxPool%leaky_re_lu_1/LeakyRelu:activations:0*1
_output_shapes
:�����������@*
ksize
*
paddingSAME*
strides
2
max_pooling2d_1/MaxPool�
conv2d_2/Conv2D/ReadVariableOpReadVariableOp'conv2d_2_conv2d_readvariableop_resource*'
_output_shapes
:@�*
dtype02 
conv2d_2/Conv2D/ReadVariableOp�
conv2d_2/Conv2DConv2D max_pooling2d_1/MaxPool:output:0&conv2d_2/Conv2D/ReadVariableOp:value:0*
T0*2
_output_shapes 
:������������*
paddingSAME*
strides
2
conv2d_2/Conv2D�
$batch_normalization_2/ReadVariableOpReadVariableOp-batch_normalization_2_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_2/ReadVariableOp�
&batch_normalization_2/ReadVariableOp_1ReadVariableOp/batch_normalization_2_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_2/ReadVariableOp_1�
5batch_normalization_2/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_2_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_2/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_2/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_2_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_2/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_2/FusedBatchNormV3FusedBatchNormV3conv2d_2/Conv2D:output:0,batch_normalization_2/ReadVariableOp:value:0.batch_normalization_2/ReadVariableOp_1:value:0=batch_normalization_2/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_2/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*R
_output_shapes@
>:������������:�:�:�:�:*
epsilon%o�:*
is_training(2(
&batch_normalization_2/FusedBatchNormV3�
leaky_re_lu_2/LeakyRelu	LeakyRelu*batch_normalization_2/FusedBatchNormV3:y:0*2
_output_shapes 
:������������*
alpha%���=2
leaky_re_lu_2/LeakyRelu�
conv2d_3/Conv2D/ReadVariableOpReadVariableOp'conv2d_3_conv2d_readvariableop_resource*'
_output_shapes
:�@*
dtype02 
conv2d_3/Conv2D/ReadVariableOp�
conv2d_3/Conv2DConv2D%leaky_re_lu_2/LeakyRelu:activations:0&conv2d_3/Conv2D/ReadVariableOp:value:0*
T0*1
_output_shapes
:�����������@*
paddingSAME*
strides
2
conv2d_3/Conv2D�
$batch_normalization_3/ReadVariableOpReadVariableOp-batch_normalization_3_readvariableop_resource*
_output_shapes
:@*
dtype02&
$batch_normalization_3/ReadVariableOp�
&batch_normalization_3/ReadVariableOp_1ReadVariableOp/batch_normalization_3_readvariableop_1_resource*
_output_shapes
:@*
dtype02(
&batch_normalization_3/ReadVariableOp_1�
5batch_normalization_3/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_3_fusedbatchnormv3_readvariableop_resource*
_output_shapes
:@*
dtype027
5batch_normalization_3/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_3/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_3_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes
:@*
dtype029
7batch_normalization_3/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_3/FusedBatchNormV3FusedBatchNormV3conv2d_3/Conv2D:output:0,batch_normalization_3/ReadVariableOp:value:0.batch_normalization_3/ReadVariableOp_1:value:0=batch_normalization_3/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_3/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*M
_output_shapes;
9:�����������@:@:@:@:@:*
epsilon%o�:*
is_training(2(
&batch_normalization_3/FusedBatchNormV3�
leaky_re_lu_3/LeakyRelu	LeakyRelu*batch_normalization_3/FusedBatchNormV3:y:0*1
_output_shapes
:�����������@*
alpha%���=2
leaky_re_lu_3/LeakyRelu�
conv2d_4/Conv2D/ReadVariableOpReadVariableOp'conv2d_4_conv2d_readvariableop_resource*'
_output_shapes
:@�*
dtype02 
conv2d_4/Conv2D/ReadVariableOp�
conv2d_4/Conv2DConv2D%leaky_re_lu_3/LeakyRelu:activations:0&conv2d_4/Conv2D/ReadVariableOp:value:0*
T0*2
_output_shapes 
:������������*
paddingSAME*
strides
2
conv2d_4/Conv2D�
$batch_normalization_4/ReadVariableOpReadVariableOp-batch_normalization_4_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_4/ReadVariableOp�
&batch_normalization_4/ReadVariableOp_1ReadVariableOp/batch_normalization_4_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_4/ReadVariableOp_1�
5batch_normalization_4/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_4_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_4/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_4/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_4_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_4/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_4/FusedBatchNormV3FusedBatchNormV3conv2d_4/Conv2D:output:0,batch_normalization_4/ReadVariableOp:value:0.batch_normalization_4/ReadVariableOp_1:value:0=batch_normalization_4/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_4/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*R
_output_shapes@
>:������������:�:�:�:�:*
epsilon%o�:*
is_training(2(
&batch_normalization_4/FusedBatchNormV3�
leaky_re_lu_4/LeakyRelu	LeakyRelu*batch_normalization_4/FusedBatchNormV3:y:0*2
_output_shapes 
:������������*
alpha%���=2
leaky_re_lu_4/LeakyRelu�
max_pooling2d_2/MaxPoolMaxPool%leaky_re_lu_4/LeakyRelu:activations:0*0
_output_shapes
:���������LL�*
ksize
*
paddingSAME*
strides
2
max_pooling2d_2/MaxPool�
conv2d_5/Conv2D/ReadVariableOpReadVariableOp'conv2d_5_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02 
conv2d_5/Conv2D/ReadVariableOp�
conv2d_5/Conv2DConv2D max_pooling2d_2/MaxPool:output:0&conv2d_5/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������LL�*
paddingSAME*
strides
2
conv2d_5/Conv2D�
$batch_normalization_5/ReadVariableOpReadVariableOp-batch_normalization_5_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_5/ReadVariableOp�
&batch_normalization_5/ReadVariableOp_1ReadVariableOp/batch_normalization_5_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_5/ReadVariableOp_1�
5batch_normalization_5/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_5_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_5/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_5/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_5_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_5/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_5/FusedBatchNormV3FusedBatchNormV3conv2d_5/Conv2D:output:0,batch_normalization_5/ReadVariableOp:value:0.batch_normalization_5/ReadVariableOp_1:value:0=batch_normalization_5/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_5/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������LL�:�:�:�:�:*
epsilon%o�:*
is_training(2(
&batch_normalization_5/FusedBatchNormV3�
leaky_re_lu_5/LeakyRelu	LeakyRelu*batch_normalization_5/FusedBatchNormV3:y:0*0
_output_shapes
:���������LL�*
alpha%���=2
leaky_re_lu_5/LeakyRelu�
conv2d_6/Conv2D/ReadVariableOpReadVariableOp'conv2d_6_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02 
conv2d_6/Conv2D/ReadVariableOp�
conv2d_6/Conv2DConv2D%leaky_re_lu_5/LeakyRelu:activations:0&conv2d_6/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������LL�*
paddingSAME*
strides
2
conv2d_6/Conv2D�
$batch_normalization_6/ReadVariableOpReadVariableOp-batch_normalization_6_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_6/ReadVariableOp�
&batch_normalization_6/ReadVariableOp_1ReadVariableOp/batch_normalization_6_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_6/ReadVariableOp_1�
5batch_normalization_6/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_6_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_6/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_6/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_6_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_6/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_6/FusedBatchNormV3FusedBatchNormV3conv2d_6/Conv2D:output:0,batch_normalization_6/ReadVariableOp:value:0.batch_normalization_6/ReadVariableOp_1:value:0=batch_normalization_6/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_6/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������LL�:�:�:�:�:*
epsilon%o�:*
is_training(2(
&batch_normalization_6/FusedBatchNormV3�
leaky_re_lu_6/LeakyRelu	LeakyRelu*batch_normalization_6/FusedBatchNormV3:y:0*0
_output_shapes
:���������LL�*
alpha%���=2
leaky_re_lu_6/LeakyRelu�
conv2d_7/Conv2D/ReadVariableOpReadVariableOp'conv2d_7_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02 
conv2d_7/Conv2D/ReadVariableOp�
conv2d_7/Conv2DConv2D%leaky_re_lu_6/LeakyRelu:activations:0&conv2d_7/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������LL�*
paddingSAME*
strides
2
conv2d_7/Conv2D�
$batch_normalization_7/ReadVariableOpReadVariableOp-batch_normalization_7_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_7/ReadVariableOp�
&batch_normalization_7/ReadVariableOp_1ReadVariableOp/batch_normalization_7_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_7/ReadVariableOp_1�
5batch_normalization_7/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_7_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_7/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_7/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_7_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_7/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_7/FusedBatchNormV3FusedBatchNormV3conv2d_7/Conv2D:output:0,batch_normalization_7/ReadVariableOp:value:0.batch_normalization_7/ReadVariableOp_1:value:0=batch_normalization_7/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_7/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������LL�:�:�:�:�:*
epsilon%o�:*
is_training(2(
&batch_normalization_7/FusedBatchNormV3�
leaky_re_lu_7/LeakyRelu	LeakyRelu*batch_normalization_7/FusedBatchNormV3:y:0*0
_output_shapes
:���������LL�*
alpha%���=2
leaky_re_lu_7/LeakyRelu�
max_pooling2d_3/MaxPoolMaxPool%leaky_re_lu_7/LeakyRelu:activations:0*0
_output_shapes
:���������&&�*
ksize
*
paddingSAME*
strides
2
max_pooling2d_3/MaxPool�
conv2d_8/Conv2D/ReadVariableOpReadVariableOp'conv2d_8_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02 
conv2d_8/Conv2D/ReadVariableOp�
conv2d_8/Conv2DConv2D max_pooling2d_3/MaxPool:output:0&conv2d_8/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
conv2d_8/Conv2D�
$batch_normalization_8/ReadVariableOpReadVariableOp-batch_normalization_8_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_8/ReadVariableOp�
&batch_normalization_8/ReadVariableOp_1ReadVariableOp/batch_normalization_8_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_8/ReadVariableOp_1�
5batch_normalization_8/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_8_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_8/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_8/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_8_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_8/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_8/FusedBatchNormV3FusedBatchNormV3conv2d_8/Conv2D:output:0,batch_normalization_8/ReadVariableOp:value:0.batch_normalization_8/ReadVariableOp_1:value:0=batch_normalization_8/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_8/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
is_training(2(
&batch_normalization_8/FusedBatchNormV3�
leaky_re_lu_8/LeakyRelu	LeakyRelu*batch_normalization_8/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2
leaky_re_lu_8/LeakyRelu�
conv2d_9/Conv2D/ReadVariableOpReadVariableOp'conv2d_9_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02 
conv2d_9/Conv2D/ReadVariableOp�
conv2d_9/Conv2DConv2D%leaky_re_lu_8/LeakyRelu:activations:0&conv2d_9/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
conv2d_9/Conv2D�
$batch_normalization_9/ReadVariableOpReadVariableOp-batch_normalization_9_readvariableop_resource*
_output_shapes	
:�*
dtype02&
$batch_normalization_9/ReadVariableOp�
&batch_normalization_9/ReadVariableOp_1ReadVariableOp/batch_normalization_9_readvariableop_1_resource*
_output_shapes	
:�*
dtype02(
&batch_normalization_9/ReadVariableOp_1�
5batch_normalization_9/FusedBatchNormV3/ReadVariableOpReadVariableOp>batch_normalization_9_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype027
5batch_normalization_9/FusedBatchNormV3/ReadVariableOp�
7batch_normalization_9/FusedBatchNormV3/ReadVariableOp_1ReadVariableOp@batch_normalization_9_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype029
7batch_normalization_9/FusedBatchNormV3/ReadVariableOp_1�
&batch_normalization_9/FusedBatchNormV3FusedBatchNormV3conv2d_9/Conv2D:output:0,batch_normalization_9/ReadVariableOp:value:0.batch_normalization_9/ReadVariableOp_1:value:0=batch_normalization_9/FusedBatchNormV3/ReadVariableOp:value:0?batch_normalization_9/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
is_training(2(
&batch_normalization_9/FusedBatchNormV3�
leaky_re_lu_9/LeakyRelu	LeakyRelu*batch_normalization_9/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2
leaky_re_lu_9/LeakyRelu�
conv2d_10/Conv2D/ReadVariableOpReadVariableOp(conv2d_10_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_10/Conv2D/ReadVariableOp�
conv2d_10/Conv2DConv2D%leaky_re_lu_9/LeakyRelu:activations:0'conv2d_10/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
conv2d_10/Conv2D�
%batch_normalization_10/ReadVariableOpReadVariableOp.batch_normalization_10_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_10/ReadVariableOp�
'batch_normalization_10/ReadVariableOp_1ReadVariableOp0batch_normalization_10_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_10/ReadVariableOp_1�
6batch_normalization_10/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_10_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_10/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_10/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_10_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_10/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_10/FusedBatchNormV3FusedBatchNormV3conv2d_10/Conv2D:output:0-batch_normalization_10/ReadVariableOp:value:0/batch_normalization_10/ReadVariableOp_1:value:0>batch_normalization_10/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_10/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
is_training(2)
'batch_normalization_10/FusedBatchNormV3�
leaky_re_lu_10/LeakyRelu	LeakyRelu+batch_normalization_10/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2
leaky_re_lu_10/LeakyRelu�
conv2d_11/Conv2D/ReadVariableOpReadVariableOp(conv2d_11_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_11/Conv2D/ReadVariableOp�
conv2d_11/Conv2DConv2D&leaky_re_lu_10/LeakyRelu:activations:0'conv2d_11/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
conv2d_11/Conv2D�
%batch_normalization_11/ReadVariableOpReadVariableOp.batch_normalization_11_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_11/ReadVariableOp�
'batch_normalization_11/ReadVariableOp_1ReadVariableOp0batch_normalization_11_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_11/ReadVariableOp_1�
6batch_normalization_11/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_11_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_11/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_11/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_11_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_11/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_11/FusedBatchNormV3FusedBatchNormV3conv2d_11/Conv2D:output:0-batch_normalization_11/ReadVariableOp:value:0/batch_normalization_11/ReadVariableOp_1:value:0>batch_normalization_11/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_11/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
is_training(2)
'batch_normalization_11/FusedBatchNormV3�
leaky_re_lu_11/LeakyRelu	LeakyRelu+batch_normalization_11/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2
leaky_re_lu_11/LeakyRelu�
conv2d_12/Conv2D/ReadVariableOpReadVariableOp(conv2d_12_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_12/Conv2D/ReadVariableOp�
conv2d_12/Conv2DConv2D&leaky_re_lu_11/LeakyRelu:activations:0'conv2d_12/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:���������&&�*
paddingSAME*
strides
2
conv2d_12/Conv2D�
%batch_normalization_12/ReadVariableOpReadVariableOp.batch_normalization_12_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_12/ReadVariableOp�
'batch_normalization_12/ReadVariableOp_1ReadVariableOp0batch_normalization_12_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_12/ReadVariableOp_1�
6batch_normalization_12/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_12_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_12/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_12/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_12_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_12/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_12/FusedBatchNormV3FusedBatchNormV3conv2d_12/Conv2D:output:0-batch_normalization_12/ReadVariableOp:value:0/batch_normalization_12/ReadVariableOp_1:value:0>batch_normalization_12/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_12/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:���������&&�:�:�:�:�:*
epsilon%o�:*
is_training(2)
'batch_normalization_12/FusedBatchNormV3�
leaky_re_lu_12/LeakyRelu	LeakyRelu+batch_normalization_12/FusedBatchNormV3:y:0*0
_output_shapes
:���������&&�*
alpha%���=2
leaky_re_lu_12/LeakyRelu�
max_pooling2d_4/MaxPoolMaxPool&leaky_re_lu_12/LeakyRelu:activations:0*0
_output_shapes
:����������*
ksize
*
paddingSAME*
strides
2
max_pooling2d_4/MaxPool�
conv2d_13/Conv2D/ReadVariableOpReadVariableOp(conv2d_13_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_13/Conv2D/ReadVariableOp�
conv2d_13/Conv2DConv2D max_pooling2d_4/MaxPool:output:0'conv2d_13/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:����������*
paddingSAME*
strides
2
conv2d_13/Conv2D�
%batch_normalization_13/ReadVariableOpReadVariableOp.batch_normalization_13_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_13/ReadVariableOp�
'batch_normalization_13/ReadVariableOp_1ReadVariableOp0batch_normalization_13_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_13/ReadVariableOp_1�
6batch_normalization_13/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_13_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_13/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_13/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_13_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_13/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_13/FusedBatchNormV3FusedBatchNormV3conv2d_13/Conv2D:output:0-batch_normalization_13/ReadVariableOp:value:0/batch_normalization_13/ReadVariableOp_1:value:0>batch_normalization_13/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_13/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:����������:�:�:�:�:*
epsilon%o�:*
is_training(2)
'batch_normalization_13/FusedBatchNormV3�
leaky_re_lu_13/LeakyRelu	LeakyRelu+batch_normalization_13/FusedBatchNormV3:y:0*0
_output_shapes
:����������*
alpha%���=2
leaky_re_lu_13/LeakyRelu�
conv2d_14/Conv2D/ReadVariableOpReadVariableOp(conv2d_14_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_14/Conv2D/ReadVariableOp�
conv2d_14/Conv2DConv2D&leaky_re_lu_13/LeakyRelu:activations:0'conv2d_14/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:����������*
paddingSAME*
strides
2
conv2d_14/Conv2D�
%batch_normalization_14/ReadVariableOpReadVariableOp.batch_normalization_14_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_14/ReadVariableOp�
'batch_normalization_14/ReadVariableOp_1ReadVariableOp0batch_normalization_14_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_14/ReadVariableOp_1�
6batch_normalization_14/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_14_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_14/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_14/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_14_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_14/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_14/FusedBatchNormV3FusedBatchNormV3conv2d_14/Conv2D:output:0-batch_normalization_14/ReadVariableOp:value:0/batch_normalization_14/ReadVariableOp_1:value:0>batch_normalization_14/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_14/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:����������:�:�:�:�:*
epsilon%o�:*
is_training(2)
'batch_normalization_14/FusedBatchNormV3�
leaky_re_lu_14/LeakyRelu	LeakyRelu+batch_normalization_14/FusedBatchNormV3:y:0*0
_output_shapes
:����������*
alpha%���=2
leaky_re_lu_14/LeakyRelu�
conv2d_15/Conv2D/ReadVariableOpReadVariableOp(conv2d_15_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_15/Conv2D/ReadVariableOp�
conv2d_15/Conv2DConv2D&leaky_re_lu_14/LeakyRelu:activations:0'conv2d_15/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:����������*
paddingSAME*
strides
2
conv2d_15/Conv2D�
%batch_normalization_15/ReadVariableOpReadVariableOp.batch_normalization_15_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_15/ReadVariableOp�
'batch_normalization_15/ReadVariableOp_1ReadVariableOp0batch_normalization_15_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_15/ReadVariableOp_1�
6batch_normalization_15/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_15_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_15/FusedBatchNormV3/ReadVariableOp�
8batch_normalization_15/FusedBatchNormV3/ReadVariableOp_1ReadVariableOpAbatch_normalization_15_fusedbatchnormv3_readvariableop_1_resource*
_output_shapes	
:�*
dtype02:
8batch_normalization_15/FusedBatchNormV3/ReadVariableOp_1�
'batch_normalization_15/FusedBatchNormV3FusedBatchNormV3conv2d_15/Conv2D:output:0-batch_normalization_15/ReadVariableOp:value:0/batch_normalization_15/ReadVariableOp_1:value:0>batch_normalization_15/FusedBatchNormV3/ReadVariableOp:value:0@batch_normalization_15/FusedBatchNormV3/ReadVariableOp_1:value:0*
T0*
U0*P
_output_shapes>
<:����������:�:�:�:�:*
epsilon%o�:*
is_training(2)
'batch_normalization_15/FusedBatchNormV3�
leaky_re_lu_15/LeakyRelu	LeakyRelu+batch_normalization_15/FusedBatchNormV3:y:0*0
_output_shapes
:����������*
alpha%���=2
leaky_re_lu_15/LeakyRelu�
conv2d_16/Conv2D/ReadVariableOpReadVariableOp(conv2d_16_conv2d_readvariableop_resource*(
_output_shapes
:��*
dtype02!
conv2d_16/Conv2D/ReadVariableOp�
conv2d_16/Conv2DConv2D&leaky_re_lu_15/LeakyRelu:activations:0'conv2d_16/Conv2D/ReadVariableOp:value:0*
T0*0
_output_shapes
:����������*
paddingSAME*
strides
2
conv2d_16/Conv2D�
%batch_normalization_16/ReadVariableOpReadVariableOp.batch_normalization_16_readvariableop_resource*
_output_shapes	
:�*
dtype02'
%batch_normalization_16/ReadVariableOp�
'batch_normalization_16/ReadVariableOp_1ReadVariableOp0batch_normalization_16_readvariableop_1_resource*
_output_shapes	
:�*
dtype02)
'batch_normalization_16/ReadVariableOp_1�
6batch_normalization_16/FusedBatchNormV3/ReadVariableOpReadVariableOp?batch_normalization_16_fusedbatchnormv3_readvariableop_resource*
_output_shapes	
:�*
dtype028
6batch_normalization_16/FusedBatchNormV3/ReadVariableOp�
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/SpaceToDepthSpaceToDepth&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$conv2d/kernel/Regularizer/Square:y:0(conv2d/kernel/Regularizer/Const:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/Sum�
conv2d/kernel/Regularizer/mul/xConst*
_output_shapes
:*
dtype0*
valueB
*o:2!
conv2d/kernel/Regularizer/mul/x�
conv2d/kernel/Regularizer/mulMul(conv2d/kernel/Regularizer/mul/x:output:0&conv2d/kernel/Regularizer/Sum:output:0*
T0*
_output_shapes
:2
conv2d/kernel/Regularizer/mul�
1conv2d_1/kernel/Regularizer/Square/ReadVariableOpReadVariableOp'conv2d_1_conv2d_readvariableop_resource*&
_output_shapes
: @*
dtype023
1conv2d_1/kernel/Regularizer/Square/ReadVariableOp�
"conv2d_1/kernel/Regularizer/SquareSquare9conv2d_1/kernel/Regularizer/Square/ReadVariableOp:value:0*
T0*&
_output_shapes
: @2$
"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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_14_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_15_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_16_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_17_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_18_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_20_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_19_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_21_conv2d_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*
valueB
*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/ReadVariableOpReadVariableOp(conv2d_22_conv2d_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*
valueB
*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/mulw
IdentityIdentityconv2d_22/BiasAdd:output:0*
T0*0
_output_shapes
:����������2

Identity"
identityIdentity:output:0*�

_input_shapes�
�:�����������:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::YU
1
_output_shapes
:�����������
 
_user_specified_nameinputs
�
h
L__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_14714

inputs
identity�
SpaceToDepthSpaceToDepthinputs*
T0*0
_output_shapes
:����������*

block_size2
SpaceToDepthr
IdentityIdentitySpaceToDepth:output:0*
T0*0
_output_shapes
:����������2

Identity"
identityIdentity:output:0*.

_input_shapes
:���������&&@:WS
/
_output_shapes
:���������&&@
 
_user_specified_nameinputs
�
�
6__inference_batch_normalization_18_layer_call_fn_14312

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

GPU2J8�*Y
fTRR
P__inference_batch_normalization_18_layer_call_and_return_conditional_losses_45322
StatefulPartitionedCall�
IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall*
T0*B
_output_shapes0
.:,����������������������������2

Identity"
identityIdentity:output:0*Q

_input_shapes@
>:,����������������������������::::22
StatefulPartitionedCallStatefulPartitionedCall:jf
B
_output_shapes0
.:,����������������������������
 
_user_specified_nameinputs
�
�
Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14857

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:jf
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�:::::XT
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:jf
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

GPU2J8�*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:XT
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

GPU2J8�*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:XT
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:XT
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

GPU2J8�*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:XT
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*
valueB
*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"
 :���������&&�::XT
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@
>:,����������������������������:::::jf
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*
valueB
*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�::XT
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

GPU2J8�*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������������������������������������:rn
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

GPU2J8�*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
:�����������@:YU
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
:����������:XT
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@
>:,����������������������������:::::jf
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/
-:�����������@:::::YU
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
:����������:XT
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*
valueB
*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#
!:�����������::YU
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�:::::XT
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

GPU2J8�*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:XT
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.
,:����������:::::XT
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�:XT
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*
valueB
*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�::XT
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.
,:����������:::::XT
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@
>:,����������������������������:::::jf
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*
valueB
*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*
valueB
*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�::XT
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:jf
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:XT
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*
valueB
*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 
:������������:ZV
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

GPU2J8�*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:XT
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:jf
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@
>:,����������������������������:::::jf
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:jf
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

GPU2J8�*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:XT
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�:XT
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*
valueB
*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:XT
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

GPU2J8�*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:ZV
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:jf
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.
,:����������:::::XT
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*
valueB
*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$
":������������::ZV
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:jf
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
:���������&&@:WS
/
_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
:���������&&�:XT
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:jf
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*
valueB
*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

GPU2J8�*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:XT
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

GPU2J8�*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:XT
0
_output_shapes
:����������
 
_user_specified_nameinputs
�
g
K__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_7187

inputs
identity�
SpaceToDepthSpaceToDepthinputs*
T0*0
_output_shapes
:����������*

block_size2
SpaceToDepthr
IdentityIdentitySpaceToDepth:output:0*
T0*0
_output_shapes
:����������2

Identity"
identityIdentity:output:0*.

_input_shapes
:���������&&@:WS
/
_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:jf
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

GPU2J8�*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:jf
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

GPU2J8�*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:ZV
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

GPU2J8�*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
:���������&&@:WS
/
_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:XT
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*
valueB
*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"
 :���������&&�::XT
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
	LeakyReluu
IdentityIdentityLeakyRelu:activations:0*
T0*1
_output_shapes
:�����������@2

Identity"
identityIdentity:output:0*0

_input_shapes
:�����������@:YU
1
_output_shapes
:�����������@
 
_user_specified_nameinputs
�$
�
+__inference_functional_1_layer_call_fn_8626
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
:����������*f
_read_only_resource_inputsH
FD
 !$%&)*+./034589:=>?BCDGHILMNQRSVWX[\]`abcfgjklop*-
config_proto

CPU

GPU2J8�*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:ZV
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

GPU2J8�*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:XT
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*
valueB
*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

GPU2J8�*Y
fTRR
P__inference_batch_normalization_13_layer_call_and_return_conditional_losses_40122
StatefulPartitionedCall�
IdentityIdentity StatefulPartitionedCall:output:0^StatefulPartitionedCall*
T0*B
_output_shapes0
.:,����������������������������2

Identity"
identityIdentity:output:0*Q

_input_shapes@
>:,����������������������������::::22
StatefulPartitionedCallStatefulPartitionedCall:jf
B
_output_shapes0
.:,����������������������������
 
_user_specified_nameinputs
�
�
P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12810

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@
>:,����������������������������:::::jf
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

GPU2J8�*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:ie
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

GPU2J8�*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:ZV
2
_output_shapes 
:������������
 
_user_specified_nameinputs
�
h
L__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_14709

inputs
identity�
SpaceToDepthSpaceToDepthinputs*
T0*0
_output_shapes
:����������*

block_size2
SpaceToDepthr
IdentityIdentitySpaceToDepth:output:0*
T0*0
_output_shapes
:����������2

Identity"
identityIdentity:output:0*.

_input_shapes
:���������&&@:WS
/
_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-
+:���������&&@:::::WS
/
_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:����������:����������:XT
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.
,:����������:::::XT
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@
>:,����������������������������:::::jf
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�:::::XT
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:YU
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

GPU2J8�*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:YU
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*
valueB
*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

GPU2J8�*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:XT
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 
:������������:ZV
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*
valueB
*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"
 :����������::XT
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:XT
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@
>:,����������������������������:::::jf
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*
valueB
*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������������������������������������:rn
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:jf
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

GPU2J8�*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:jf
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
:���������&&�:XT
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:jf
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
.:������������:::::ZV
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
:�����������@:YU
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:jf
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:YU
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

GPU2J8�*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:jf
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.
,:���������&&�:::::XT
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?
=:+��������������������������� :::::ie
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@
>:,����������������������������:::::jf
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*
valueB
*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$
":������������::ZV
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

GPU2J8�*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������������������������������������:rn
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
:����������:XT
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*
valueB
*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"
 :���������&&�::XT
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:XT
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

GPU2J8�*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:jf
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

GPU2J8�*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:XT
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

GPU2J8�*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
:����������:XT
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

GPU2J8�*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:XT
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@
>:,����������������������������:::::jf
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*
valueB
*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:XT
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

GPU2J8�*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
:���������&&�:XT
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
:���������&&�:XT
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*
valueB
*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#
!:�����������@::YU
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@
>:,����������������������������:::::jf
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*
valueB
*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�::XT
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:ie
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*
valueB
*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

GPU2J8�*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:jf
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.
,:���������&&�:::::XT
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
:����������:XT
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": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "batch_normalization_2", "inbound_nodes": [[["conv2d_2", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_2", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_2", "inbound_nodes": [[["batch_normalization_2", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_3", "inbound_nodes": [[["leaky_re_lu_2", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_3", "inbound_nodes": [[["conv2d_3", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_3", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_3", "inbound_nodes": [[["batch_normalization_3", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_4", "inbound_nodes": [[["leaky_re_lu_3", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_4", "inbound_nodes": [[["conv2d_4", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_4", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_4", "inbound_nodes": [[["batch_normalization_4", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "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"}, "name": "max_pooling2d_2", "inbound_nodes": [[["leaky_re_lu_4", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_5", "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_5", "inbound_nodes": [[["conv2d_5", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_5", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_5", "inbound_nodes": [[["batch_normalization_5", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_6", "inbound_nodes": [[["leaky_re_lu_5", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_6", "inbound_nodes": [[["conv2d_6", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_6", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_6", "inbound_nodes": [[["batch_normalization_6", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_7", "inbound_nodes": [[["leaky_re_lu_6", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_7", "inbound_nodes": [[["conv2d_7", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_7", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_7", "inbound_nodes": [[["batch_normalization_7", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "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"}, "name": "max_pooling2d_3", "inbound_nodes": [[["leaky_re_lu_7", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_8", "inbound_nodes": [[["max_pooling2d_3", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_8", "inbound_nodes": [[["conv2d_8", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_8", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_8", "inbound_nodes": [[["batch_normalization_8", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_9", "inbound_nodes": [[["leaky_re_lu_8", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_9", "inbound_nodes": [[["conv2d_9", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_9", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_9", "inbound_nodes": [[["batch_normalization_9", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_10", "inbound_nodes": [[["leaky_re_lu_9", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_10", "inbound_nodes": [[["conv2d_10", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_10", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_10", "inbound_nodes": [[["batch_normalization_10", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_11", "inbound_nodes": [[["leaky_re_lu_10", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_11", "inbound_nodes": [[["conv2d_11", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_11", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_11", "inbound_nodes": [[["batch_normalization_11", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_12", "inbound_nodes": [[["leaky_re_lu_11", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_12", "inbound_nodes": [[["conv2d_12", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_12", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_12", "inbound_nodes": [[["batch_normalization_12", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "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"}, "name": "max_pooling2d_4", "inbound_nodes": [[["leaky_re_lu_12", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_13", "inbound_nodes": [[["max_pooling2d_4", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_13", "inbound_nodes": [[["conv2d_13", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_13", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_13", "inbound_nodes": [[["batch_normalization_13", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_14", "inbound_nodes": [[["leaky_re_lu_13", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_14", "inbound_nodes": [[["conv2d_14", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_14", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_14", "inbound_nodes": [[["batch_normalization_14", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_15", "inbound_nodes": [[["leaky_re_lu_14", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_15", "inbound_nodes": [[["conv2d_15", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_15", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_15", "inbound_nodes": [[["batch_normalization_15", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_16", "inbound_nodes": [[["leaky_re_lu_15", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_16", "inbound_nodes": [[["conv2d_16", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_16", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_16", "inbound_nodes": [[["batch_normalization_16", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_17", "inbound_nodes": [[["leaky_re_lu_16", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_17", "inbound_nodes": [[["conv2d_17", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_17", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_17", "inbound_nodes": [[["batch_normalization_17", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_18", "inbound_nodes": [[["leaky_re_lu_17", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_18", "inbound_nodes": [[["conv2d_18", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_20", "inbound_nodes": [[["leaky_re_lu_12", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_18", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_18", "inbound_nodes": [[["batch_normalization_18", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_20", "inbound_nodes": [[["conv2d_20", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_19", "inbound_nodes": [[["leaky_re_lu_18", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_20", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_20", "inbound_nodes": [[["batch_normalization_20", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_19", "inbound_nodes": [[["conv2d_19", 0, 0, {}]]]}, {"class_name": "Lambda", "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__", "items": ["4wEAAAAAAAAAAQAAAAYAAABDAAAAc0gAAAB8AGQBGQByMHwAZAIZAHwAZAEZAGQDGgB8AGQDGQBk\nAxoAZAR8AGQFGQAUAGYEUwB8AGQCGQBkBmQGZAR8AGQFGQAUAGYEUwApB/qLRGV0ZXJtaW5lIHNw\nYWNlX3RvX2RlcHRoIG91dHB1dCBzaGFwZSBmb3IgYmxvY2tfc2l6ZT0yLgoKICAgIE5vdGU6IEZv\nciBMYW1iZGEgd2l0aCBUZW5zb3JGbG93IGJhY2tlbmQsIG91dHB1dCBzaGFwZSBtYXkgbm90IGJl\nIG5lZWRlZC4KICAgIOkBAAAA6QAAAADpAgAAAOkEAAAA6QMAAABOqQApAdoLaW5wdXRfc2hhcGVy\nBwAAAHIHAAAA+ncvVXNlcnMvYWNhc3RpbGxvL0RvY3VtZW50cy9naXQvZGVlcGxlYXJuaW5nL2Rl\nZXAtbGVhcm5pbmctc3BlY2lhbGl6YXRpb24vRExTQzQvVzMvVzNBMS9ZQUQySy95YWQyay9tb2Rl\nbHMva2VyYXNfeW9sby5wedoec3BhY2VfdG9fZGVwdGhfeDJfb3V0cHV0X3NoYXBlIwAAAHMEAAAA\nAAY6AQ==\n", null, null]}, "output_shape_type": "lambda", "output_shape_module": "yad2k.models.keras_yolo", "arguments": {}}, "name": "space_to_depth_x2", "inbound_nodes": [[["leaky_re_lu_20", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_19", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_19", "inbound_nodes": [[["batch_normalization_19", 0, 0, {}]]]}, {"class_name": "Concatenate", "config": {"name": "concatenate", "trainable": true, "dtype": "float32", "axis": -1}, "name": "concatenate", "inbound_nodes": [[["space_to_depth_x2", 0, 0, {}], ["leaky_re_lu_19", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_21", "inbound_nodes": [[["concatenate", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_21", "inbound_nodes": [[["conv2d_21", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_21", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_21", "inbound_nodes": [[["batch_normalization_21", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_22", "inbound_nodes": [[["leaky_re_lu_21", 0, 0, {}]]]}], "input_layers": [["input_1", 0, 0]], "output_layers": [["conv2d_22", 0, 0]]}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 608, 608, 3]}, "is_graph_network": true, "keras_version": "2.4.0", "backend": "tensorflow", "model_config": {"class_name": "Functional", "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": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "batch_normalization_2", "inbound_nodes": [[["conv2d_2", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_2", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_2", "inbound_nodes": [[["batch_normalization_2", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_3", "inbound_nodes": [[["leaky_re_lu_2", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_3", "inbound_nodes": [[["conv2d_3", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_3", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_3", "inbound_nodes": [[["batch_normalization_3", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_4", "inbound_nodes": [[["leaky_re_lu_3", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_4", "inbound_nodes": [[["conv2d_4", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_4", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_4", "inbound_nodes": [[["batch_normalization_4", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "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"}, "name": "max_pooling2d_2", "inbound_nodes": [[["leaky_re_lu_4", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_5", "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_5", "inbound_nodes": [[["conv2d_5", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_5", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_5", "inbound_nodes": [[["batch_normalization_5", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_6", "inbound_nodes": [[["leaky_re_lu_5", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_6", "inbound_nodes": [[["conv2d_6", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_6", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_6", "inbound_nodes": [[["batch_normalization_6", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_7", "inbound_nodes": [[["leaky_re_lu_6", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_7", "inbound_nodes": [[["conv2d_7", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_7", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_7", "inbound_nodes": [[["batch_normalization_7", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "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"}, "name": "max_pooling2d_3", "inbound_nodes": [[["leaky_re_lu_7", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_8", "inbound_nodes": [[["max_pooling2d_3", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_8", "inbound_nodes": [[["conv2d_8", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_8", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_8", "inbound_nodes": [[["batch_normalization_8", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_9", "inbound_nodes": [[["leaky_re_lu_8", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_9", "inbound_nodes": [[["conv2d_9", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_9", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_9", "inbound_nodes": [[["batch_normalization_9", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_10", "inbound_nodes": [[["leaky_re_lu_9", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_10", "inbound_nodes": [[["conv2d_10", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_10", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_10", "inbound_nodes": [[["batch_normalization_10", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_11", "inbound_nodes": [[["leaky_re_lu_10", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_11", "inbound_nodes": [[["conv2d_11", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_11", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_11", "inbound_nodes": [[["batch_normalization_11", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_12", "inbound_nodes": [[["leaky_re_lu_11", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_12", "inbound_nodes": [[["conv2d_12", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_12", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_12", "inbound_nodes": [[["batch_normalization_12", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", "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"}, "name": "max_pooling2d_4", "inbound_nodes": [[["leaky_re_lu_12", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_13", "inbound_nodes": [[["max_pooling2d_4", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_13", "inbound_nodes": [[["conv2d_13", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_13", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_13", "inbound_nodes": [[["batch_normalization_13", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_14", "inbound_nodes": [[["leaky_re_lu_13", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_14", "inbound_nodes": [[["conv2d_14", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_14", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_14", "inbound_nodes": [[["batch_normalization_14", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_15", "inbound_nodes": [[["leaky_re_lu_14", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_15", "inbound_nodes": [[["conv2d_15", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_15", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_15", "inbound_nodes": [[["batch_normalization_15", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_16", "inbound_nodes": [[["leaky_re_lu_15", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_16", "inbound_nodes": [[["conv2d_16", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_16", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_16", "inbound_nodes": [[["batch_normalization_16", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_17", "inbound_nodes": [[["leaky_re_lu_16", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_17", "inbound_nodes": [[["conv2d_17", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_17", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_17", "inbound_nodes": [[["batch_normalization_17", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_18", "inbound_nodes": [[["leaky_re_lu_17", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_18", "inbound_nodes": [[["conv2d_18", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_20", "inbound_nodes": [[["leaky_re_lu_12", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_18", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_18", "inbound_nodes": [[["batch_normalization_18", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_20", "inbound_nodes": [[["conv2d_20", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_19", "inbound_nodes": [[["leaky_re_lu_18", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_20", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_20", "inbound_nodes": [[["batch_normalization_20", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_19", "inbound_nodes": [[["conv2d_19", 0, 0, {}]]]}, {"class_name": "Lambda", "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__", "items": ["4wEAAAAAAAAAAQAAAAYAAABDAAAAc0gAAAB8AGQBGQByMHwAZAIZAHwAZAEZAGQDGgB8AGQDGQBk\nAxoAZAR8AGQFGQAUAGYEUwB8AGQCGQBkBmQGZAR8AGQFGQAUAGYEUwApB/qLRGV0ZXJtaW5lIHNw\nYWNlX3RvX2RlcHRoIG91dHB1dCBzaGFwZSBmb3IgYmxvY2tfc2l6ZT0yLgoKICAgIE5vdGU6IEZv\nciBMYW1iZGEgd2l0aCBUZW5zb3JGbG93IGJhY2tlbmQsIG91dHB1dCBzaGFwZSBtYXkgbm90IGJl\nIG5lZWRlZC4KICAgIOkBAAAA6QAAAADpAgAAAOkEAAAA6QMAAABOqQApAdoLaW5wdXRfc2hhcGVy\nBwAAAHIHAAAA+ncvVXNlcnMvYWNhc3RpbGxvL0RvY3VtZW50cy9naXQvZGVlcGxlYXJuaW5nL2Rl\nZXAtbGVhcm5pbmctc3BlY2lhbGl6YXRpb24vRExTQzQvVzMvVzNBMS9ZQUQySy95YWQyay9tb2Rl\nbHMva2VyYXNfeW9sby5wedoec3BhY2VfdG9fZGVwdGhfeDJfb3V0cHV0X3NoYXBlIwAAAHMEAAAA\nAAY6AQ==\n", null, null]}, "output_shape_type": "lambda", "output_shape_module": "yad2k.models.keras_yolo", "arguments": {}}, "name": "space_to_depth_x2", "inbound_nodes": [[["leaky_re_lu_20", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_19", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_19", "inbound_nodes": [[["batch_normalization_19", 0, 0, {}]]]}, {"class_name": "Concatenate", "config": {"name": "concatenate", "trainable": true, "dtype": "float32", "axis": -1}, "name": "concatenate", "inbound_nodes": [[["space_to_depth_x2", 0, 0, {}], ["leaky_re_lu_19", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_21", "inbound_nodes": [[["concatenate", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "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}, "name": "batch_normalization_21", "inbound_nodes": [[["conv2d_21", 0, 0, {}]]]}, {"class_name": "LeakyReLU", "config": {"name": "leaky_re_lu_21", "trainable": true, "dtype": "float32", "alpha": 0.10000000149011612}, "name": "leaky_re_lu_21", "inbound_nodes": [[["batch_normalization_21", 0, 0, {}]]]}, {"class_name": "Conv2D", "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}, "name": "conv2d_22", "inbound_nodes": [[["leaky_re_lu_21", 0, 0, {}]]]}], "input_layers": [["input_1", 0, 0]], "output_layers": [["conv2d_22", 0, 0]]}}}
�"�
_tf_keras_input_layer�{"class_name": "InputLayer", "name": "input_1", "dtype": "float32", "sparse": false, "ragged": false, "batch_input_shape": {"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__", "items": ["4wEAAAAAAAAAAQAAAAYAAABDAAAAc0gAAAB8AGQBGQByMHwAZAIZAHwAZAEZAGQDGgB8AGQDGQBk\nAxoAZAR8AGQFGQAUAGYEUwB8AGQCGQBkBmQGZAR8AGQFGQAUAGYEUwApB/qLRGV0ZXJtaW5lIHNw\nYWNlX3RvX2RlcHRoIG91dHB1dCBzaGFwZSBmb3IgYmxvY2tfc2l6ZT0yLgoKICAgIE5vdGU6IEZv\nciBMYW1iZGEgd2l0aCBUZW5zb3JGbG93IGJhY2tlbmQsIG91dHB1dCBzaGFwZSBtYXkgbm90IGJl\nIG5lZWRlZC4KICAgIOkBAAAA6QAAAADpAgAAAOkEAAAA6QMAAABOqQApAdoLaW5wdXRfc2hhcGVy\nBwAAAHIHAAAA+ncvVXNlcnMvYWNhc3RpbGxvL0RvY3VtZW50cy9naXQvZGVlcGxlYXJuaW5nL2Rl\nZXAtbGVhcm5pbmctc3BlY2lhbGl6YXRpb24vRExTQzQvVzMvVzNBMS9ZQUQySy95YWQyay9tb2Rl\nbHMva2VyYXNfeW9sby5wedoec3BhY2VfdG9fZGVwdGhfeDJfb3V0cHV0X3NoYXBlIwAAAHMEAAAA\nAAY6AQ==\n", null, null]}, "output_shape_type": "lambda", "output_shape_module": "yad2k.models.keras_yolo", "arguments": {}}}
�
�regularization_losses
�trainable_variables
�	variables
�	keras_api

�__call__
+�&call_and_return_all_conditional_losses"�
_tf_keras_layer�{"class_name": "LeakyReLU", "name": "leaky_re_lu_19", "trainable": true, "expects_training_arg": 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
uregularization_losses
�metrics
 �layer_regularization_losses
vtrainable_variables
�layers

w	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
yregularization_losses
�metrics
 �layer_regularization_losses
ztrainable_variables
�layers

{	variables
�non_trainable_variables

�__call__
+�&call_and_return_all_conditional_losses
'�"call_and_return_conditional_losses"
_generic_user_object
*:(@�2conv2d_2/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_2/gamma
):'�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
�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_3/gamma
(:&@2batch_normalization_3/beta
1:/@ (2!batch_normalization_3/moving_mean
5:3@ (2%batch_normalization_3/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_4/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_4/gamma
):'�2batch_normalization_4/beta
2:0� (2!batch_normalization_4/moving_mean
6:4� (2%batch_normalization_4/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_5/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_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
�
�
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_6/gamma
):'�2batch_normalization_6/beta
2:0� (2!batch_normalization_6/moving_mean
6:4� (2%batch_normalization_6/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_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"
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_9/gamma
):'�2batch_normalization_9/beta
2:0� (2!batch_normalization_9/moving_mean
6:4� (2%batch_normalization_9/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_10/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_10/gamma
*:(�2batch_normalization_10/beta
3:1� (2"batch_normalization_10/moving_mean
7:5� (2&batch_normalization_10/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_11/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_11/gamma
*:(�2batch_normalization_11/beta
3:1� (2"batch_normalization_11/moving_mean
7:5� (2&batch_normalization_11/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_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
�
�
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_13/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_13/gamma
*:(�2batch_normalization_13/beta
3:1� (2"batch_normalization_13/moving_mean
7:5� (2&batch_normalization_13/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_14/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_14/gamma
*:(�2batch_normalization_14/beta
3:1� (2"batch_normalization_14/moving_mean
7:5� (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
 �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_17/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_17/gamma
*:(�2batch_normalization_17/beta
3:1� (2"batch_normalization_17/moving_mean
7:5� (2&batch_normalization_17/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_18/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_18/gamma
*:(�2batch_normalization_18/beta
3:1� (2"batch_normalization_18/moving_mean
7:5� (2&batch_normalization_18/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
+:)�@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
'�"call_and_return_conditional_losses"
_generic_user_object
 "
trackable_list_wrapper
*:(@2batch_normalization_20/gamma
):'@2batch_normalization_20/beta
2:0@ (2"batch_normalization_20/moving_mean
6:4@ (2&batch_normalization_20/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
,:*��2conv2d_19/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
'�"call_and_return_conditional_losses"
_generic_user_object
 "
trackable_list_wrapper
+:)�2batch_normalization_19/gamma
*:(�2batch_normalization_19/beta
3:1� (2"batch_normalization_19/moving_mean
7:5� (2&batch_normalization_19/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
 "
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_21/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_21/gamma
*:(�2batch_normalization_21/beta
3:1� (2"batch_normalization_21/moving_mean
7:5� (2&batch_normalization_21/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_22/kernel
:�2conv2d_22/bias
(
�0"
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
0
�0
�1"
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_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
�
0
1
2
3
4
5
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
047
148
249
350
451
552
653
754
855
956
:57
;58
<59
=60
>61
?62
@63
A64
B65
C66
D67
E68
F69
G70
H71
I72
J73
K74"
trackable_list_wrapper
�
Y0
Z1
o2
p3
�4
�5
�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"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
.
Y0
Z1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
.
o0
p1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
0
�0
�1"
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_dict_wrapper
 "
trackable_list_wrapper
(
�0"
trackable_list_wrapper
 "
trackable_list_wrapper
 "
trackable_list_wrapper
�2�
,__inference_functional_1_layer_call_fn_11270
+__inference_functional_1_layer_call_fn_8626
,__inference_functional_1_layer_call_fn_11041
+__inference_functional_1_layer_call_fn_9295�
���
FullArgSpec1
args)�&
jself
jinputs

jtraining
jmask
varargs

varkw

defaults�
p



kwonlyargs�
kwonlydefaults�
annotations�*

�2�
G__inference_functional_1_layer_call_and_return_conditional_losses_10260
F__inference_functional_1_layer_call_and_return_conditional_losses_7516
G__inference_functional_1_layer_call_and_return_conditional_losses_10812
F__inference_functional_1_layer_call_and_return_conditional_losses_7956�
���
FullArgSpec1
args)�&
jself
jinputs

jtraining
jmask
varargs

varkw

defaults�
p



kwonlyargs�
kwonlydefaults�
annotations�*

�2�
__inference__wrapped_model_2507�
���
FullArgSpec
args�
varargsjargs
varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*0�-
+�(
input_1�����������
�2�
&__inference_conv2d_layer_call_fn_11296�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
A__inference_conv2d_layer_call_and_return_conditional_losses_11289�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
3__inference_batch_normalization_layer_call_fn_11347
3__inference_batch_normalization_layer_call_fn_11360
3__inference_batch_normalization_layer_call_fn_11411
3__inference_batch_normalization_layer_call_fn_11424�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
N__inference_batch_normalization_layer_call_and_return_conditional_losses_11316
N__inference_batch_normalization_layer_call_and_return_conditional_losses_11334
N__inference_batch_normalization_layer_call_and_return_conditional_losses_11398
N__inference_batch_normalization_layer_call_and_return_conditional_losses_11380�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
+__inference_leaky_re_lu_layer_call_fn_11434�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
F__inference_leaky_re_lu_layer_call_and_return_conditional_losses_11429�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
,__inference_max_pooling2d_layer_call_fn_2623�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*@�=
;�84������������������������������������
�2�
G__inference_max_pooling2d_layer_call_and_return_conditional_losses_2617�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*@�=
;�84������������������������������������
�2�
(__inference_conv2d_1_layer_call_fn_11460�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
C__inference_conv2d_1_layer_call_and_return_conditional_losses_11453�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
5__inference_batch_normalization_1_layer_call_fn_11511
5__inference_batch_normalization_1_layer_call_fn_11575
5__inference_batch_normalization_1_layer_call_fn_11588
5__inference_batch_normalization_1_layer_call_fn_11524�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11498
P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11562
P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11480
P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11544�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
-__inference_leaky_re_lu_1_layer_call_fn_11598�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
H__inference_leaky_re_lu_1_layer_call_and_return_conditional_losses_11593�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
.__inference_max_pooling2d_1_layer_call_fn_2739�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*@�=
;�84������������������������������������
�2�
I__inference_max_pooling2d_1_layer_call_and_return_conditional_losses_2733�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*@�=
;�84������������������������������������
�2�
(__inference_conv2d_2_layer_call_fn_11624�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
C__inference_conv2d_2_layer_call_and_return_conditional_losses_11617�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
5__inference_batch_normalization_2_layer_call_fn_11675
5__inference_batch_normalization_2_layer_call_fn_11739
5__inference_batch_normalization_2_layer_call_fn_11752
5__inference_batch_normalization_2_layer_call_fn_11688�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11662
P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11708
P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11644
P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11726�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
-__inference_leaky_re_lu_2_layer_call_fn_11762�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
H__inference_leaky_re_lu_2_layer_call_and_return_conditional_losses_11757�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
(__inference_conv2d_3_layer_call_fn_11788�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
C__inference_conv2d_3_layer_call_and_return_conditional_losses_11781�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
5__inference_batch_normalization_3_layer_call_fn_11839
5__inference_batch_normalization_3_layer_call_fn_11852
5__inference_batch_normalization_3_layer_call_fn_11903
5__inference_batch_normalization_3_layer_call_fn_11916�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11826
P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11890
P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11808
P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11872�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
-__inference_leaky_re_lu_3_layer_call_fn_11926�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
H__inference_leaky_re_lu_3_layer_call_and_return_conditional_losses_11921�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
(__inference_conv2d_4_layer_call_fn_11952�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
C__inference_conv2d_4_layer_call_and_return_conditional_losses_11945�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
5__inference_batch_normalization_4_layer_call_fn_12016
5__inference_batch_normalization_4_layer_call_fn_12003
5__inference_batch_normalization_4_layer_call_fn_12067
5__inference_batch_normalization_4_layer_call_fn_12080�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_11990
P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_11972
P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_12054
P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_12036�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
-__inference_leaky_re_lu_4_layer_call_fn_12090�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
H__inference_leaky_re_lu_4_layer_call_and_return_conditional_losses_12085�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
.__inference_max_pooling2d_2_layer_call_fn_3063�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*@�=
;�84������������������������������������
�2�
I__inference_max_pooling2d_2_layer_call_and_return_conditional_losses_3057�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*@�=
;�84������������������������������������
�2�
(__inference_conv2d_5_layer_call_fn_12116�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
C__inference_conv2d_5_layer_call_and_return_conditional_losses_12109�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
5__inference_batch_normalization_5_layer_call_fn_12167
5__inference_batch_normalization_5_layer_call_fn_12231
5__inference_batch_normalization_5_layer_call_fn_12180
5__inference_batch_normalization_5_layer_call_fn_12244�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12136
P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12154
P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12218
P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12200�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
-__inference_leaky_re_lu_5_layer_call_fn_12254�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
H__inference_leaky_re_lu_5_layer_call_and_return_conditional_losses_12249�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
(__inference_conv2d_6_layer_call_fn_12280�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
C__inference_conv2d_6_layer_call_and_return_conditional_losses_12273�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
5__inference_batch_normalization_6_layer_call_fn_12344
5__inference_batch_normalization_6_layer_call_fn_12395
5__inference_batch_normalization_6_layer_call_fn_12408
5__inference_batch_normalization_6_layer_call_fn_12331�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12382
P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12364
P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12300
P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12318�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
-__inference_leaky_re_lu_6_layer_call_fn_12418�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
H__inference_leaky_re_lu_6_layer_call_and_return_conditional_losses_12413�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
(__inference_conv2d_7_layer_call_fn_12444�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
C__inference_conv2d_7_layer_call_and_return_conditional_losses_12437�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
5__inference_batch_normalization_7_layer_call_fn_12508
5__inference_batch_normalization_7_layer_call_fn_12559
5__inference_batch_normalization_7_layer_call_fn_12572
5__inference_batch_normalization_7_layer_call_fn_12495�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12464
P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12546
P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12482
P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12528�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
-__inference_leaky_re_lu_7_layer_call_fn_12582�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
H__inference_leaky_re_lu_7_layer_call_and_return_conditional_losses_12577�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
.__inference_max_pooling2d_3_layer_call_fn_3387�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*@�=
;�84������������������������������������
�2�
I__inference_max_pooling2d_3_layer_call_and_return_conditional_losses_3381�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*@�=
;�84������������������������������������
�2�
(__inference_conv2d_8_layer_call_fn_12608�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
C__inference_conv2d_8_layer_call_and_return_conditional_losses_12601�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
5__inference_batch_normalization_8_layer_call_fn_12672
5__inference_batch_normalization_8_layer_call_fn_12723
5__inference_batch_normalization_8_layer_call_fn_12659
5__inference_batch_normalization_8_layer_call_fn_12736�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12692
P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12646
P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12710
P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12628�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
-__inference_leaky_re_lu_8_layer_call_fn_12746�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
H__inference_leaky_re_lu_8_layer_call_and_return_conditional_losses_12741�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
(__inference_conv2d_9_layer_call_fn_12772�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
C__inference_conv2d_9_layer_call_and_return_conditional_losses_12765�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
5__inference_batch_normalization_9_layer_call_fn_12836
5__inference_batch_normalization_9_layer_call_fn_12887
5__inference_batch_normalization_9_layer_call_fn_12823
5__inference_batch_normalization_9_layer_call_fn_12900�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12810
P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12874
P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12792
P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12856�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
-__inference_leaky_re_lu_9_layer_call_fn_12910�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
H__inference_leaky_re_lu_9_layer_call_and_return_conditional_losses_12905�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
)__inference_conv2d_10_layer_call_fn_12936�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_10_layer_call_and_return_conditional_losses_12929�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_10_layer_call_fn_12987
6__inference_batch_normalization_10_layer_call_fn_13064
6__inference_batch_normalization_10_layer_call_fn_13000
6__inference_batch_normalization_10_layer_call_fn_13051�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_12956
Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_13038
Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_12974
Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_13020�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
.__inference_leaky_re_lu_10_layer_call_fn_13074�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_10_layer_call_and_return_conditional_losses_13069�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
)__inference_conv2d_11_layer_call_fn_13100�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_11_layer_call_and_return_conditional_losses_13093�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_11_layer_call_fn_13228
6__inference_batch_normalization_11_layer_call_fn_13215
6__inference_batch_normalization_11_layer_call_fn_13151
6__inference_batch_normalization_11_layer_call_fn_13164�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13138
Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13202
Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13120
Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13184�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
.__inference_leaky_re_lu_11_layer_call_fn_13238�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_11_layer_call_and_return_conditional_losses_13233�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
)__inference_conv2d_12_layer_call_fn_13264�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_12_layer_call_and_return_conditional_losses_13257�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_12_layer_call_fn_13379
6__inference_batch_normalization_12_layer_call_fn_13315
6__inference_batch_normalization_12_layer_call_fn_13392
6__inference_batch_normalization_12_layer_call_fn_13328�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13284
Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13366
Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13348
Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13302�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
.__inference_leaky_re_lu_12_layer_call_fn_13402�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_12_layer_call_and_return_conditional_losses_13397�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
.__inference_max_pooling2d_4_layer_call_fn_3919�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*@�=
;�84������������������������������������
�2�
I__inference_max_pooling2d_4_layer_call_and_return_conditional_losses_3913�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*@�=
;�84������������������������������������
�2�
)__inference_conv2d_13_layer_call_fn_13428�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_13_layer_call_and_return_conditional_losses_13421�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_13_layer_call_fn_13556
6__inference_batch_normalization_13_layer_call_fn_13543
6__inference_batch_normalization_13_layer_call_fn_13479
6__inference_batch_normalization_13_layer_call_fn_13492�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13530
Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13512
Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13448
Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13466�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
.__inference_leaky_re_lu_13_layer_call_fn_13566�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_13_layer_call_and_return_conditional_losses_13561�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
)__inference_conv2d_14_layer_call_fn_13592�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_14_layer_call_and_return_conditional_losses_13585�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_14_layer_call_fn_13707
6__inference_batch_normalization_14_layer_call_fn_13656
6__inference_batch_normalization_14_layer_call_fn_13643
6__inference_batch_normalization_14_layer_call_fn_13720�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13694
Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13630
Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13676
Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13612�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
.__inference_leaky_re_lu_14_layer_call_fn_13730�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_14_layer_call_and_return_conditional_losses_13725�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
)__inference_conv2d_15_layer_call_fn_13756�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_15_layer_call_and_return_conditional_losses_13749�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_15_layer_call_fn_13820
6__inference_batch_normalization_15_layer_call_fn_13884
6__inference_batch_normalization_15_layer_call_fn_13807
6__inference_batch_normalization_15_layer_call_fn_13871�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13858
Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13776
Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13840
Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13794�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
.__inference_leaky_re_lu_15_layer_call_fn_13894�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_15_layer_call_and_return_conditional_losses_13889�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
)__inference_conv2d_16_layer_call_fn_13920�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_16_layer_call_and_return_conditional_losses_13913�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_16_layer_call_fn_13984
6__inference_batch_normalization_16_layer_call_fn_14035
6__inference_batch_normalization_16_layer_call_fn_14048
6__inference_batch_normalization_16_layer_call_fn_13971�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_13958
Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_13940
Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_14004
Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_14022�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
.__inference_leaky_re_lu_16_layer_call_fn_14058�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_16_layer_call_and_return_conditional_losses_14053�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
)__inference_conv2d_17_layer_call_fn_14084�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_17_layer_call_and_return_conditional_losses_14077�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_17_layer_call_fn_14135
6__inference_batch_normalization_17_layer_call_fn_14199
6__inference_batch_normalization_17_layer_call_fn_14212
6__inference_batch_normalization_17_layer_call_fn_14148�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14168
Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14122
Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14186
Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14104�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
.__inference_leaky_re_lu_17_layer_call_fn_14222�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_17_layer_call_and_return_conditional_losses_14217�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
)__inference_conv2d_18_layer_call_fn_14248�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_18_layer_call_and_return_conditional_losses_14241�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_18_layer_call_fn_14363
6__inference_batch_normalization_18_layer_call_fn_14299
6__inference_batch_normalization_18_layer_call_fn_14376
6__inference_batch_normalization_18_layer_call_fn_14312�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14286
Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14332
Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14350
Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14268�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
)__inference_conv2d_20_layer_call_fn_14402�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_20_layer_call_and_return_conditional_losses_14395�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
.__inference_leaky_re_lu_18_layer_call_fn_14412�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_18_layer_call_and_return_conditional_losses_14407�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_20_layer_call_fn_14463
6__inference_batch_normalization_20_layer_call_fn_14476
6__inference_batch_normalization_20_layer_call_fn_14540
6__inference_batch_normalization_20_layer_call_fn_14527�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14432
Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14514
Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14450
Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14496�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
)__inference_conv2d_19_layer_call_fn_14566�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_19_layer_call_and_return_conditional_losses_14559�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
.__inference_leaky_re_lu_20_layer_call_fn_14576�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_20_layer_call_and_return_conditional_losses_14571�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_19_layer_call_fn_14640
6__inference_batch_normalization_19_layer_call_fn_14704
6__inference_batch_normalization_19_layer_call_fn_14627
6__inference_batch_normalization_19_layer_call_fn_14691�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14614
Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14660
Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14596
Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14678�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
1__inference_space_to_depth_x2_layer_call_fn_14719
1__inference_space_to_depth_x2_layer_call_fn_14724�
���
FullArgSpec1
args)�&
jself
jinputs
jmask

jtraining
varargs

varkw

defaults�


p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
L__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_14709
L__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_14714�
���
FullArgSpec1
args)�&
jself
jinputs
jmask

jtraining
varargs

varkw

defaults�


p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
.__inference_leaky_re_lu_19_layer_call_fn_14734�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_19_layer_call_and_return_conditional_losses_14729�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
+__inference_concatenate_layer_call_fn_14747�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
F__inference_concatenate_layer_call_and_return_conditional_losses_14741�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
)__inference_conv2d_21_layer_call_fn_14773�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_21_layer_call_and_return_conditional_losses_14766�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
6__inference_batch_normalization_21_layer_call_fn_14837
6__inference_batch_normalization_21_layer_call_fn_14901
6__inference_batch_normalization_21_layer_call_fn_14824
6__inference_batch_normalization_21_layer_call_fn_14888�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14875
Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14857
Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14811
Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14793�
���
FullArgSpec)
args!�
jself
jinputs

jtraining
varargs

varkw

defaults�
p

kwonlyargs�
kwonlydefaults�
annotations�*

�2�
.__inference_leaky_re_lu_21_layer_call_fn_14911�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
I__inference_leaky_re_lu_21_layer_call_and_return_conditional_losses_14906�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
)__inference_conv2d_22_layer_call_fn_14942�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
D__inference_conv2d_22_layer_call_and_return_conditional_losses_14933�
���
FullArgSpec
args�
jself
jinputs
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*

�2�
__inference_loss_fn_0_14953�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_1_14964�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_2_14975�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_3_14986�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_4_14997�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_5_15008�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_6_15019�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_7_15030�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_8_15041�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_9_15052�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_10_15063�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_11_15074�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_12_15085�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_13_15096�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_14_15107�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_15_15118�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_16_15129�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_17_15140�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_18_15151�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_19_15162�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_20_15173�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_21_15184�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
�2�
__inference_loss_fn_22_15195�
���
FullArgSpec
args�
varargs

varkw

defaults


kwonlyargs�
kwonlydefaults

annotations�*�
1B/
"__inference_signature_wrapper_9664input_1�
__inference__wrapped_model_2507��QWXYZgmnop}�����������������������������������������������������������������������������������������������������:�7
0�-
+�(
input_1�����������
�">�;
9
	conv2d_22,�)
	conv2d_22�����������
Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_12956�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_12974�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_13020x����<�9
2�/
)�&
inputs���������&&�
p
�".�+
$�!
0���������&&�
��
Q__inference_batch_normalization_10_layer_call_and_return_conditional_losses_13038x����<�9
2�/
)�&
inputs���������&&�
p
�".�+
$�!
0���������&&�
��
6__inference_batch_normalization_10_layer_call_fn_12987�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_10_layer_call_fn_13000�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_10_layer_call_fn_13051k����<�9
2�/
)�&
inputs���������&&�
p
�"!����������&&��
6__inference_batch_normalization_10_layer_call_fn_13064k����<�9
2�/
)�&
inputs���������&&�
p
�"!����������&&��
Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13120�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13138�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13184x����<�9
2�/
)�&
inputs���������&&�
p
�".�+
$�!
0���������&&�
��
Q__inference_batch_normalization_11_layer_call_and_return_conditional_losses_13202x����<�9
2�/
)�&
inputs���������&&�
p
�".�+
$�!
0���������&&�
��
6__inference_batch_normalization_11_layer_call_fn_13151�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_11_layer_call_fn_13164�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_11_layer_call_fn_13215k����<�9
2�/
)�&
inputs���������&&�
p
�"!����������&&��
6__inference_batch_normalization_11_layer_call_fn_13228k����<�9
2�/
)�&
inputs���������&&�
p
�"!����������&&��
Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13284�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13302�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13348x����<�9
2�/
)�&
inputs���������&&�
p
�".�+
$�!
0���������&&�
��
Q__inference_batch_normalization_12_layer_call_and_return_conditional_losses_13366x����<�9
2�/
)�&
inputs���������&&�
p
�".�+
$�!
0���������&&�
��
6__inference_batch_normalization_12_layer_call_fn_13315�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_12_layer_call_fn_13328�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_12_layer_call_fn_13379k����<�9
2�/
)�&
inputs���������&&�
p
�"!����������&&��
6__inference_batch_normalization_12_layer_call_fn_13392k����<�9
2�/
)�&
inputs���������&&�
p
�"!����������&&��
Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13448�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13466�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13512x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
Q__inference_batch_normalization_13_layer_call_and_return_conditional_losses_13530x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
6__inference_batch_normalization_13_layer_call_fn_13479�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_13_layer_call_fn_13492�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_13_layer_call_fn_13543k����<�9
2�/
)�&
inputs����������
p
�"!������������
6__inference_batch_normalization_13_layer_call_fn_13556k����<�9
2�/
)�&
inputs����������
p
�"!������������
Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13612�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13630�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13676x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
Q__inference_batch_normalization_14_layer_call_and_return_conditional_losses_13694x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
6__inference_batch_normalization_14_layer_call_fn_13643�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_14_layer_call_fn_13656�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_14_layer_call_fn_13707k����<�9
2�/
)�&
inputs����������
p
�"!������������
6__inference_batch_normalization_14_layer_call_fn_13720k����<�9
2�/
)�&
inputs����������
p
�"!������������
Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13776�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13794�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13840x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
Q__inference_batch_normalization_15_layer_call_and_return_conditional_losses_13858x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
6__inference_batch_normalization_15_layer_call_fn_13807�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_15_layer_call_fn_13820�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_15_layer_call_fn_13871k����<�9
2�/
)�&
inputs����������
p
�"!������������
6__inference_batch_normalization_15_layer_call_fn_13884k����<�9
2�/
)�&
inputs����������
p
�"!������������
Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_13940�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_13958�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_14004x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
Q__inference_batch_normalization_16_layer_call_and_return_conditional_losses_14022x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
6__inference_batch_normalization_16_layer_call_fn_13971�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_16_layer_call_fn_13984�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_16_layer_call_fn_14035k����<�9
2�/
)�&
inputs����������
p
�"!������������
6__inference_batch_normalization_16_layer_call_fn_14048k����<�9
2�/
)�&
inputs����������
p
�"!������������
Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14104x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14122x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14168�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_17_layer_call_and_return_conditional_losses_14186�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
6__inference_batch_normalization_17_layer_call_fn_14135k����<�9
2�/
)�&
inputs����������
p
�"!������������
6__inference_batch_normalization_17_layer_call_fn_14148k����<�9
2�/
)�&
inputs����������
p
�"!������������
6__inference_batch_normalization_17_layer_call_fn_14199�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_17_layer_call_fn_14212�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14268�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14286�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14332x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
Q__inference_batch_normalization_18_layer_call_and_return_conditional_losses_14350x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
6__inference_batch_normalization_18_layer_call_fn_14299�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_18_layer_call_fn_14312�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_18_layer_call_fn_14363k����<�9
2�/
)�&
inputs����������
p
�"!������������
6__inference_batch_normalization_18_layer_call_fn_14376k����<�9
2�/
)�&
inputs����������
p
�"!������������
Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14596�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14614�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14660x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
Q__inference_batch_normalization_19_layer_call_and_return_conditional_losses_14678x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
6__inference_batch_normalization_19_layer_call_fn_14627�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_19_layer_call_fn_14640�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_19_layer_call_fn_14691k����<�9
2�/
)�&
inputs����������
p
�"!������������
6__inference_batch_normalization_19_layer_call_fn_14704k����<�9
2�/
)�&
inputs����������
p
�"!������������
P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11480�mnopM�J
C�@
:�7
inputs+���������������������������@
p
�"?�<
5�2
0+���������������������������@
��
P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11498�mnopM�J
C�@
:�7
inputs+���������������������������@
p
�"?�<
5�2
0+���������������������������@
��
P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11544vmnop=�:
3�0
*�'
inputs�����������@
p
�"/�,
%�"
0�����������@
��
P__inference_batch_normalization_1_layer_call_and_return_conditional_losses_11562vmnop=�:
3�0
*�'
inputs�����������@
p
�"/�,
%�"
0�����������@
��
5__inference_batch_normalization_1_layer_call_fn_11511�mnopM�J
C�@
:�7
inputs+���������������������������@
p
�"2�/+���������������������������@�
5__inference_batch_normalization_1_layer_call_fn_11524�mnopM�J
C�@
:�7
inputs+���������������������������@
p
�"2�/+���������������������������@�
5__inference_batch_normalization_1_layer_call_fn_11575imnop=�:
3�0
*�'
inputs�����������@
p
�""������������@�
5__inference_batch_normalization_1_layer_call_fn_11588imnop=�:
3�0
*�'
inputs�����������@
p
�""������������@�
Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14432v����;�8
1�.
(�%
inputs���������&&@
p
�"-�*
#� 
0���������&&@
��
Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14450v����;�8
1�.
(�%
inputs���������&&@
p
�"-�*
#� 
0���������&&@
��
Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14496�����M�J
C�@
:�7
inputs+���������������������������@
p
�"?�<
5�2
0+���������������������������@
��
Q__inference_batch_normalization_20_layer_call_and_return_conditional_losses_14514�����M�J
C�@
:�7
inputs+���������������������������@
p
�"?�<
5�2
0+���������������������������@
��
6__inference_batch_normalization_20_layer_call_fn_14463i����;�8
1�.
(�%
inputs���������&&@
p
�" ����������&&@�
6__inference_batch_normalization_20_layer_call_fn_14476i����;�8
1�.
(�%
inputs���������&&@
p
�" ����������&&@�
6__inference_batch_normalization_20_layer_call_fn_14527�����M�J
C�@
:�7
inputs+���������������������������@
p
�"2�/+���������������������������@�
6__inference_batch_normalization_20_layer_call_fn_14540�����M�J
C�@
:�7
inputs+���������������������������@
p
�"2�/+���������������������������@�
Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14793x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14811x����<�9
2�/
)�&
inputs����������
p
�".�+
$�!
0����������
��
Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14857�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
Q__inference_batch_normalization_21_layer_call_and_return_conditional_losses_14875�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
6__inference_batch_normalization_21_layer_call_fn_14824k����<�9
2�/
)�&
inputs����������
p
�"!������������
6__inference_batch_normalization_21_layer_call_fn_14837k����<�9
2�/
)�&
inputs����������
p
�"!������������
6__inference_batch_normalization_21_layer_call_fn_14888�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
6__inference_batch_normalization_21_layer_call_fn_14901�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11644�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11662�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11708|����>�;
4�1
+�(
inputs������������
p
�"0�-
&�#
0������������
��
P__inference_batch_normalization_2_layer_call_and_return_conditional_losses_11726|����>�;
4�1
+�(
inputs������������
p
�"0�-
&�#
0������������
��
5__inference_batch_normalization_2_layer_call_fn_11675�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
5__inference_batch_normalization_2_layer_call_fn_11688�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
5__inference_batch_normalization_2_layer_call_fn_11739o����>�;
4�1
+�(
inputs������������
p
�"#� �������������
5__inference_batch_normalization_2_layer_call_fn_11752o����>�;
4�1
+�(
inputs������������
p
�"#� �������������
P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11808�����M�J
C�@
:�7
inputs+���������������������������@
p
�"?�<
5�2
0+���������������������������@
��
P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11826�����M�J
C�@
:�7
inputs+���������������������������@
p
�"?�<
5�2
0+���������������������������@
��
P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11872z����=�:
3�0
*�'
inputs�����������@
p
�"/�,
%�"
0�����������@
��
P__inference_batch_normalization_3_layer_call_and_return_conditional_losses_11890z����=�:
3�0
*�'
inputs�����������@
p
�"/�,
%�"
0�����������@
��
5__inference_batch_normalization_3_layer_call_fn_11839�����M�J
C�@
:�7
inputs+���������������������������@
p
�"2�/+���������������������������@�
5__inference_batch_normalization_3_layer_call_fn_11852�����M�J
C�@
:�7
inputs+���������������������������@
p
�"2�/+���������������������������@�
5__inference_batch_normalization_3_layer_call_fn_11903m����=�:
3�0
*�'
inputs�����������@
p
�""������������@�
5__inference_batch_normalization_3_layer_call_fn_11916m����=�:
3�0
*�'
inputs�����������@
p
�""������������@�
P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_11972|����>�;
4�1
+�(
inputs������������
p
�"0�-
&�#
0������������
��
P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_11990|����>�;
4�1
+�(
inputs������������
p
�"0�-
&�#
0������������
��
P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_12036�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
P__inference_batch_normalization_4_layer_call_and_return_conditional_losses_12054�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
5__inference_batch_normalization_4_layer_call_fn_12003o����>�;
4�1
+�(
inputs������������
p
�"#� �������������
5__inference_batch_normalization_4_layer_call_fn_12016o����>�;
4�1
+�(
inputs������������
p
�"#� �������������
5__inference_batch_normalization_4_layer_call_fn_12067�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
5__inference_batch_normalization_4_layer_call_fn_12080�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12136�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12154�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12200x����<�9
2�/
)�&
inputs���������LL�
p
�".�+
$�!
0���������LL�
��
P__inference_batch_normalization_5_layer_call_and_return_conditional_losses_12218x����<�9
2�/
)�&
inputs���������LL�
p
�".�+
$�!
0���������LL�
��
5__inference_batch_normalization_5_layer_call_fn_12167�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
5__inference_batch_normalization_5_layer_call_fn_12180�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
5__inference_batch_normalization_5_layer_call_fn_12231k����<�9
2�/
)�&
inputs���������LL�
p
�"!����������LL��
5__inference_batch_normalization_5_layer_call_fn_12244k����<�9
2�/
)�&
inputs���������LL�
p
�"!����������LL��
P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12300x����<�9
2�/
)�&
inputs���������LL�
p
�".�+
$�!
0���������LL�
��
P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12318x����<�9
2�/
)�&
inputs���������LL�
p
�".�+
$�!
0���������LL�
��
P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12364�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
P__inference_batch_normalization_6_layer_call_and_return_conditional_losses_12382�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
5__inference_batch_normalization_6_layer_call_fn_12331k����<�9
2�/
)�&
inputs���������LL�
p
�"!����������LL��
5__inference_batch_normalization_6_layer_call_fn_12344k����<�9
2�/
)�&
inputs���������LL�
p
�"!����������LL��
5__inference_batch_normalization_6_layer_call_fn_12395�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
5__inference_batch_normalization_6_layer_call_fn_12408�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12464�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12482�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12528x����<�9
2�/
)�&
inputs���������LL�
p
�".�+
$�!
0���������LL�
��
P__inference_batch_normalization_7_layer_call_and_return_conditional_losses_12546x����<�9
2�/
)�&
inputs���������LL�
p
�".�+
$�!
0���������LL�
��
5__inference_batch_normalization_7_layer_call_fn_12495�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
5__inference_batch_normalization_7_layer_call_fn_12508�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
5__inference_batch_normalization_7_layer_call_fn_12559k����<�9
2�/
)�&
inputs���������LL�
p
�"!����������LL��
5__inference_batch_normalization_7_layer_call_fn_12572k����<�9
2�/
)�&
inputs���������LL�
p
�"!����������LL��
P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12628x����<�9
2�/
)�&
inputs���������&&�
p
�".�+
$�!
0���������&&�
��
P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12646x����<�9
2�/
)�&
inputs���������&&�
p
�".�+
$�!
0���������&&�
��
P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12692�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
P__inference_batch_normalization_8_layer_call_and_return_conditional_losses_12710�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
5__inference_batch_normalization_8_layer_call_fn_12659k����<�9
2�/
)�&
inputs���������&&�
p
�"!����������&&��
5__inference_batch_normalization_8_layer_call_fn_12672k����<�9
2�/
)�&
inputs���������&&�
p
�"!����������&&��
5__inference_batch_normalization_8_layer_call_fn_12723�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
5__inference_batch_normalization_8_layer_call_fn_12736�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12792�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12810�����N�K
D�A
;�8
inputs,����������������������������
p
�"@�=
6�3
0,����������������������������
��
P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12856x����<�9
2�/
)�&
inputs���������&&�
p
�".�+
$�!
0���������&&�
��
P__inference_batch_normalization_9_layer_call_and_return_conditional_losses_12874x����<�9
2�/
)�&
inputs���������&&�
p
�".�+
$�!
0���������&&�
��
5__inference_batch_normalization_9_layer_call_fn_12823�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
5__inference_batch_normalization_9_layer_call_fn_12836�����N�K
D�A
;�8
inputs,����������������������������
p
�"3�0,�����������������������������
5__inference_batch_normalization_9_layer_call_fn_12887k����<�9
2�/
)�&
inputs���������&&�
p
�"!����������&&��
5__inference_batch_normalization_9_layer_call_fn_12900k����<�9
2�/
)�&
inputs���������&&�
p
�"!����������&&��
N__inference_batch_normalization_layer_call_and_return_conditional_losses_11316�WXYZM�J
C�@
:�7
inputs+��������������������������� 
p
�"?�<
5�2
0+��������������������������� 
��
N__inference_batch_normalization_layer_call_and_return_conditional_losses_11334�WXYZM�J
C�@
:�7
inputs+��������������������������� 
p
�"?�<
5�2
0+��������������������������� 
��
N__inference_batch_normalization_layer_call_and_return_conditional_losses_11380vWXYZ=�:
3�0
*�'
inputs����������� 
p
�"/�,
%�"
0����������� 
��
N__inference_batch_normalization_layer_call_and_return_conditional_losses_11398vWXYZ=�:
3�0
*�'
inputs����������� 
p
�"/�,
%�"
0����������� 
��
3__inference_batch_normalization_layer_call_fn_11347�WXYZM�J
C�@
:�7
inputs+��������������������������� 
p
�"2�/+��������������������������� �
3__inference_batch_normalization_layer_call_fn_11360�WXYZM�J
C�@
:�7
inputs+��������������������������� 
p
�"2�/+��������������������������� �
3__inference_batch_normalization_layer_call_fn_11411iWXYZ=�:
3�0
*�'
inputs����������� 
p
�""������������ �
3__inference_batch_normalization_layer_call_fn_11424iWXYZ=�:
3�0
*�'
inputs����������� 
p
�""������������ �
F__inference_concatenate_layer_call_and_return_conditional_losses_14741�l�i
b�_
]�Z
+�(
inputs/0����������
+�(
inputs/1����������
�".�+
$�!
0����������

��
+__inference_concatenate_layer_call_fn_14747�l�i
b�_
]�Z
+�(
inputs/0����������
+�(
inputs/1����������
�"!�����������
�
D__inference_conv2d_10_layer_call_and_return_conditional_losses_12929n�8�5
.�+
)�&
inputs���������&&�
�".�+
$�!
0���������&&�
��
)__inference_conv2d_10_layer_call_fn_12936a�8�5
.�+
)�&
inputs���������&&�
�"!����������&&��
D__inference_conv2d_11_layer_call_and_return_conditional_losses_13093n�8�5
.�+
)�&
inputs���������&&�
�".�+
$�!
0���������&&�
��
)__inference_conv2d_11_layer_call_fn_13100a�8�5
.�+
)�&
inputs���������&&�
�"!����������&&��
D__inference_conv2d_12_layer_call_and_return_conditional_losses_13257n�8�5
.�+
)�&
inputs���������&&�
�".�+
$�!
0���������&&�
��
)__inference_conv2d_12_layer_call_fn_13264a�8�5
.�+
)�&
inputs���������&&�
�"!����������&&��
D__inference_conv2d_13_layer_call_and_return_conditional_losses_13421n�8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
)__inference_conv2d_13_layer_call_fn_13428a�8�5
.�+
)�&
inputs����������
�"!������������
D__inference_conv2d_14_layer_call_and_return_conditional_losses_13585n�8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
)__inference_conv2d_14_layer_call_fn_13592a�8�5
.�+
)�&
inputs����������
�"!������������
D__inference_conv2d_15_layer_call_and_return_conditional_losses_13749n�8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
)__inference_conv2d_15_layer_call_fn_13756a�8�5
.�+
)�&
inputs����������
�"!������������
D__inference_conv2d_16_layer_call_and_return_conditional_losses_13913n�8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
)__inference_conv2d_16_layer_call_fn_13920a�8�5
.�+
)�&
inputs����������
�"!������������
D__inference_conv2d_17_layer_call_and_return_conditional_losses_14077n�8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
)__inference_conv2d_17_layer_call_fn_14084a�8�5
.�+
)�&
inputs����������
�"!������������
D__inference_conv2d_18_layer_call_and_return_conditional_losses_14241n�8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
)__inference_conv2d_18_layer_call_fn_14248a�8�5
.�+
)�&
inputs����������
�"!������������
D__inference_conv2d_19_layer_call_and_return_conditional_losses_14559n�8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
)__inference_conv2d_19_layer_call_fn_14566a�8�5
.�+
)�&
inputs����������
�"!������������
C__inference_conv2d_1_layer_call_and_return_conditional_losses_11453og9�6
/�,
*�'
inputs����������� 
�"/�,
%�"
0�����������@
��
(__inference_conv2d_1_layer_call_fn_11460bg9�6
/�,
*�'
inputs����������� 
�""������������@�
D__inference_conv2d_20_layer_call_and_return_conditional_losses_14395m�8�5
.�+
)�&
inputs���������&&�
�"-�*
#� 
0���������&&@
��
)__inference_conv2d_20_layer_call_fn_14402`�8�5
.�+
)�&
inputs���������&&�
�" ����������&&@�
D__inference_conv2d_21_layer_call_and_return_conditional_losses_14766n�8�5
.�+
)�&
inputs����������

�".�+
$�!
0����������
��
)__inference_conv2d_21_layer_call_fn_14773a�8�5
.�+
)�&
inputs����������

�"!������������
D__inference_conv2d_22_layer_call_and_return_conditional_losses_14933p��8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
)__inference_conv2d_22_layer_call_fn_14942c��8�5
.�+
)�&
inputs����������
�"!������������
C__inference_conv2d_2_layer_call_and_return_conditional_losses_11617p}9�6
/�,
*�'
inputs�����������@
�"0�-
&�#
0������������
��
(__inference_conv2d_2_layer_call_fn_11624c}9�6
/�,
*�'
inputs�����������@
�"#� �������������
C__inference_conv2d_3_layer_call_and_return_conditional_losses_11781q�:�7
0�-
+�(
inputs������������
�"/�,
%�"
0�����������@
��
(__inference_conv2d_3_layer_call_fn_11788d�:�7
0�-
+�(
inputs������������
�""������������@�
C__inference_conv2d_4_layer_call_and_return_conditional_losses_11945q�9�6
/�,
*�'
inputs�����������@
�"0�-
&�#
0������������
��
(__inference_conv2d_4_layer_call_fn_11952d�9�6
/�,
*�'
inputs�����������@
�"#� �������������
C__inference_conv2d_5_layer_call_and_return_conditional_losses_12109n�8�5
.�+
)�&
inputs���������LL�
�".�+
$�!
0���������LL�
��
(__inference_conv2d_5_layer_call_fn_12116a�8�5
.�+
)�&
inputs���������LL�
�"!����������LL��
C__inference_conv2d_6_layer_call_and_return_conditional_losses_12273n�8�5
.�+
)�&
inputs���������LL�
�".�+
$�!
0���������LL�
��
(__inference_conv2d_6_layer_call_fn_12280a�8�5
.�+
)�&
inputs���������LL�
�"!����������LL��
C__inference_conv2d_7_layer_call_and_return_conditional_losses_12437n�8�5
.�+
)�&
inputs���������LL�
�".�+
$�!
0���������LL�
��
(__inference_conv2d_7_layer_call_fn_12444a�8�5
.�+
)�&
inputs���������LL�
�"!����������LL��
C__inference_conv2d_8_layer_call_and_return_conditional_losses_12601n�8�5
.�+
)�&
inputs���������&&�
�".�+
$�!
0���������&&�
��
(__inference_conv2d_8_layer_call_fn_12608a�8�5
.�+
)�&
inputs���������&&�
�"!����������&&��
C__inference_conv2d_9_layer_call_and_return_conditional_losses_12765n�8�5
.�+
)�&
inputs���������&&�
�".�+
$�!
0���������&&�
��
(__inference_conv2d_9_layer_call_fn_12772a�8�5
.�+
)�&
inputs���������&&�
�"!����������&&��
A__inference_conv2d_layer_call_and_return_conditional_losses_11289oQ9�6
/�,
*�'
inputs�����������
�"/�,
%�"
0����������� 
��
&__inference_conv2d_layer_call_fn_11296bQ9�6
/�,
*�'
inputs�����������
�""������������ �
G__inference_functional_1_layer_call_and_return_conditional_losses_10260��QWXYZgmnop}�����������������������������������������������������������������������������������������������������A�>
7�4
*�'
inputs�����������
p


�".�+
$�!
0����������
��
G__inference_functional_1_layer_call_and_return_conditional_losses_10812��QWXYZgmnop}�����������������������������������������������������������������������������������������������������A�>
7�4
*�'
inputs�����������
p


�".�+
$�!
0����������
��
F__inference_functional_1_layer_call_and_return_conditional_losses_7516��QWXYZgmnop}�����������������������������������������������������������������������������������������������������B�?
8�5
+�(
input_1�����������
p


�".�+
$�!
0����������
��
F__inference_functional_1_layer_call_and_return_conditional_losses_7956��QWXYZgmnop}�����������������������������������������������������������������������������������������������������B�?
8�5
+�(
input_1�����������
p


�".�+
$�!
0����������
��
,__inference_functional_1_layer_call_fn_11041��QWXYZgmnop}�����������������������������������������������������������������������������������������������������A�>
7�4
*�'
inputs�����������
p


�"!������������
,__inference_functional_1_layer_call_fn_11270��QWXYZgmnop}�����������������������������������������������������������������������������������������������������A�>
7�4
*�'
inputs�����������
p


�"!������������
+__inference_functional_1_layer_call_fn_8626��QWXYZgmnop}�����������������������������������������������������������������������������������������������������B�?
8�5
+�(
input_1�����������
p


�"!������������
+__inference_functional_1_layer_call_fn_9295��QWXYZgmnop}�����������������������������������������������������������������������������������������������������B�?
8�5
+�(
input_1�����������
p


�"!������������
I__inference_leaky_re_lu_10_layer_call_and_return_conditional_losses_13069j8�5
.�+
)�&
inputs���������&&�
�".�+
$�!
0���������&&�
��
.__inference_leaky_re_lu_10_layer_call_fn_13074]8�5
.�+
)�&
inputs���������&&�
�"!����������&&��
I__inference_leaky_re_lu_11_layer_call_and_return_conditional_losses_13233j8�5
.�+
)�&
inputs���������&&�
�".�+
$�!
0���������&&�
��
.__inference_leaky_re_lu_11_layer_call_fn_13238]8�5
.�+
)�&
inputs���������&&�
�"!����������&&��
I__inference_leaky_re_lu_12_layer_call_and_return_conditional_losses_13397j8�5
.�+
)�&
inputs���������&&�
�".�+
$�!
0���������&&�
��
.__inference_leaky_re_lu_12_layer_call_fn_13402]8�5
.�+
)�&
inputs���������&&�
�"!����������&&��
I__inference_leaky_re_lu_13_layer_call_and_return_conditional_losses_13561j8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
.__inference_leaky_re_lu_13_layer_call_fn_13566]8�5
.�+
)�&
inputs����������
�"!������������
I__inference_leaky_re_lu_14_layer_call_and_return_conditional_losses_13725j8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
.__inference_leaky_re_lu_14_layer_call_fn_13730]8�5
.�+
)�&
inputs����������
�"!������������
I__inference_leaky_re_lu_15_layer_call_and_return_conditional_losses_13889j8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
.__inference_leaky_re_lu_15_layer_call_fn_13894]8�5
.�+
)�&
inputs����������
�"!������������
I__inference_leaky_re_lu_16_layer_call_and_return_conditional_losses_14053j8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
.__inference_leaky_re_lu_16_layer_call_fn_14058]8�5
.�+
)�&
inputs����������
�"!������������
I__inference_leaky_re_lu_17_layer_call_and_return_conditional_losses_14217j8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
.__inference_leaky_re_lu_17_layer_call_fn_14222]8�5
.�+
)�&
inputs����������
�"!������������
I__inference_leaky_re_lu_18_layer_call_and_return_conditional_losses_14407j8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
.__inference_leaky_re_lu_18_layer_call_fn_14412]8�5
.�+
)�&
inputs����������
�"!������������
I__inference_leaky_re_lu_19_layer_call_and_return_conditional_losses_14729j8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
.__inference_leaky_re_lu_19_layer_call_fn_14734]8�5
.�+
)�&
inputs����������
�"!������������
H__inference_leaky_re_lu_1_layer_call_and_return_conditional_losses_11593l9�6
/�,
*�'
inputs�����������@
�"/�,
%�"
0�����������@
��
-__inference_leaky_re_lu_1_layer_call_fn_11598_9�6
/�,
*�'
inputs�����������@
�""������������@�
I__inference_leaky_re_lu_20_layer_call_and_return_conditional_losses_14571h7�4
-�*
(�%
inputs���������&&@
�"-�*
#� 
0���������&&@
��
.__inference_leaky_re_lu_20_layer_call_fn_14576[7�4
-�*
(�%
inputs���������&&@
�" ����������&&@�
I__inference_leaky_re_lu_21_layer_call_and_return_conditional_losses_14906j8�5
.�+
)�&
inputs����������
�".�+
$�!
0����������
��
.__inference_leaky_re_lu_21_layer_call_fn_14911]8�5
.�+
)�&
inputs����������
�"!������������
H__inference_leaky_re_lu_2_layer_call_and_return_conditional_losses_11757n:�7
0�-
+�(
inputs������������
�"0�-
&�#
0������������
��
-__inference_leaky_re_lu_2_layer_call_fn_11762a:�7
0�-
+�(
inputs������������
�"#� �������������
H__inference_leaky_re_lu_3_layer_call_and_return_conditional_losses_11921l9�6
/�,
*�'
inputs�����������@
�"/�,
%�"
0�����������@
��
-__inference_leaky_re_lu_3_layer_call_fn_11926_9�6
/�,
*�'
inputs�����������@
�""������������@�
H__inference_leaky_re_lu_4_layer_call_and_return_conditional_losses_12085n:�7
0�-
+�(
inputs������������
�"0�-
&�#
0������������
��
-__inference_leaky_re_lu_4_layer_call_fn_12090a:�7
0�-
+�(
inputs������������
�"#� �������������
H__inference_leaky_re_lu_5_layer_call_and_return_conditional_losses_12249j8�5
.�+
)�&
inputs���������LL�
�".�+
$�!
0���������LL�
��
-__inference_leaky_re_lu_5_layer_call_fn_12254]8�5
.�+
)�&
inputs���������LL�
�"!����������LL��
H__inference_leaky_re_lu_6_layer_call_and_return_conditional_losses_12413j8�5
.�+
)�&
inputs���������LL�
�".�+
$�!
0���������LL�
��
-__inference_leaky_re_lu_6_layer_call_fn_12418]8�5
.�+
)�&
inputs���������LL�
�"!����������LL��
H__inference_leaky_re_lu_7_layer_call_and_return_conditional_losses_12577j8�5
.�+
)�&
inputs���������LL�
�".�+
$�!
0���������LL�
��
-__inference_leaky_re_lu_7_layer_call_fn_12582]8�5
.�+
)�&
inputs���������LL�
�"!����������LL��
H__inference_leaky_re_lu_8_layer_call_and_return_conditional_losses_12741j8�5
.�+
)�&
inputs���������&&�
�".�+
$�!
0���������&&�
��
-__inference_leaky_re_lu_8_layer_call_fn_12746]8�5
.�+
)�&
inputs���������&&�
�"!����������&&��
H__inference_leaky_re_lu_9_layer_call_and_return_conditional_losses_12905j8�5
.�+
)�&
inputs���������&&�
�".�+
$�!
0���������&&�
��
-__inference_leaky_re_lu_9_layer_call_fn_12910]8�5
.�+
)�&
inputs���������&&�
�"!����������&&��
F__inference_leaky_re_lu_layer_call_and_return_conditional_losses_11429l9�6
/�,
*�'
inputs����������� 
�"/�,
%�"
0����������� 
��
+__inference_leaky_re_lu_layer_call_fn_11434_9�6
/�,
*�'
inputs����������� 
�""������������ :
__inference_loss_fn_0_14953Q
�

�
�"�<
__inference_loss_fn_10_15063�
�

�
�"�<
__inference_loss_fn_11_15074�
�

�
�"�<
__inference_loss_fn_12_15085�
�

�
�"�<
__inference_loss_fn_13_15096�
�

�
�"�<
__inference_loss_fn_14_15107�
�

�
�"�<
__inference_loss_fn_15_15118�
�

�
�"�<
__inference_loss_fn_16_15129�
�

�
�"�<
__inference_loss_fn_17_15140�
�

�
�"�<
__inference_loss_fn_18_15151�
�

�
�"�<
__inference_loss_fn_19_15162�
�

�
�"�:
__inference_loss_fn_1_14964g
�

�
�"�<
__inference_loss_fn_20_15173�
�

�
�"�<
__inference_loss_fn_21_15184�
�

�
�"�<
__inference_loss_fn_22_15195�
�

�
�"�:
__inference_loss_fn_2_14975}
�

�
�"�;
__inference_loss_fn_3_14986�
�

�
�"�;
__inference_loss_fn_4_14997�
�

�
�"�;
__inference_loss_fn_5_15008�
�

�
�"�;
__inference_loss_fn_6_15019�
�

�
�"�;
__inference_loss_fn_7_15030�
�

�
�"�;
__inference_loss_fn_8_15041�
�

�
�"�;
__inference_loss_fn_9_15052�
�

�
�"��
I__inference_max_pooling2d_1_layer_call_and_return_conditional_losses_2733�R�O
H�E
C�@
inputs4������������������������������������
�"H�E
>�;
04������������������������������������
��
.__inference_max_pooling2d_1_layer_call_fn_2739�R�O
H�E
C�@
inputs4������������������������������������
�";�84�������������������������������������
I__inference_max_pooling2d_2_layer_call_and_return_conditional_losses_3057�R�O
H�E
C�@
inputs4������������������������������������
�"H�E
>�;
04������������������������������������
��
.__inference_max_pooling2d_2_layer_call_fn_3063�R�O
H�E
C�@
inputs4������������������������������������
�";�84�������������������������������������
I__inference_max_pooling2d_3_layer_call_and_return_conditional_losses_3381�R�O
H�E
C�@
inputs4������������������������������������
�"H�E
>�;
04������������������������������������
��
.__inference_max_pooling2d_3_layer_call_fn_3387�R�O
H�E
C�@
inputs4������������������������������������
�";�84�������������������������������������
I__inference_max_pooling2d_4_layer_call_and_return_conditional_losses_3913�R�O
H�E
C�@
inputs4������������������������������������
�"H�E
>�;
04������������������������������������
��
.__inference_max_pooling2d_4_layer_call_fn_3919�R�O
H�E
C�@
inputs4������������������������������������
�";�84�������������������������������������
G__inference_max_pooling2d_layer_call_and_return_conditional_losses_2617�R�O
H�E
C�@
inputs4������������������������������������
�"H�E
>�;
04������������������������������������
��
,__inference_max_pooling2d_layer_call_fn_2623�R�O
H�E
C�@
inputs4������������������������������������
�";�84�������������������������������������
"__inference_signature_wrapper_9664��QWXYZgmnop}�����������������������������������������������������������������������������������������������������E�B
�
;�8
6
input_1+�(
input_1�����������">�;
9
	conv2d_22,�)
	conv2d_22�����������
L__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_14709q?�<
5�2
(�%
inputs���������&&@


p
�".�+
$�!
0����������
��
L__inference_space_to_depth_x2_layer_call_and_return_conditional_losses_14714q?�<
5�2
(�%
inputs���������&&@


p
�".�+
$�!
0����������
��
1__inference_space_to_depth_x2_layer_call_fn_14719d?�<
5�2
(�%
inputs���������&&@


p
�"!������������
1__inference_space_to_depth_x2_layer_call_fn_14724d?�<
5�2
(�%
inputs���������&&@


p
�"!�����������