tensorflow:: ops:: FusedBatchNormGrad
#include <nn_ops.h>
Gradient for batch normalization.
Summary
Note that the size of 4D Tensors are defined by either "NHWC" or "NCHW". The size of 1D Tensors matches the dimension C of the 4D Tensors.
Args:
- scope: A Scope object
- y_backprop: A 4D Tensor for the gradient with respect to y.
- x: A 4D Tensor for input data.
- scale: A 1D Tensor for scaling factor, to scale the normalized x.
- reserve_space_1: When is_training is True, a 1D Tensor for the computed batch mean to be reused in gradient computation. When is_training is False, a 1D Tensor for the population mean to be reused in both 1st and 2nd order gradient computation.
- reserve_space_2: When is_training is True, a 1D Tensor for the computed batch variance (inverted variance in the cuDNN case) to be reused in gradient computation. When is_training is False, a 1D Tensor for the population variance to be reused in both 1st and 2nd order gradient computation.
Optional attributes (see Attrs
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- epsilon: A small float number added to the variance of x.
- data_format: The data format for y_backprop, x, x_backprop. Either "NHWC" (default) or "NCHW".
- is_training: A bool value to indicate the operation is for training (default) or inference.
Returns:
Output
x_backprop: A 4D Tensor for the gradient with respect to x.Output
scale_backprop: A 1D Tensor for the gradient with respect to scale.Output
offset_backprop: A 1D Tensor for the gradient with respect to offset.Output
reserve_space_3: Unused placeholder to match the mean input in FusedBatchNorm.Output
reserve_space_4: Unused placeholder to match the variance input in FusedBatchNorm.
Constructors and Destructors |
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FusedBatchNormGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input y_backprop, ::tensorflow::Input x, ::tensorflow::Input scale, ::tensorflow::Input reserve_space_1, ::tensorflow::Input reserve_space_2)
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FusedBatchNormGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input y_backprop, ::tensorflow::Input x, ::tensorflow::Input scale, ::tensorflow::Input reserve_space_1, ::tensorflow::Input reserve_space_2, const FusedBatchNormGrad::Attrs & attrs)
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Public attributes |
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offset_backprop
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operation
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reserve_space_3
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reserve_space_4
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scale_backprop
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x_backprop
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Public static functions |
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DataFormat(StringPiece x)
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Epsilon(float x)
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IsTraining(bool x)
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Structs |
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tensorflow:: |
Optional attribute setters for FusedBatchNormGrad. |
Public attributes
offset_backprop
::tensorflow::Output offset_backprop
operation
Operation operation
reserve_space_3
::tensorflow::Output reserve_space_3
reserve_space_4
::tensorflow::Output reserve_space_4
scale_backprop
::tensorflow::Output scale_backprop
x_backprop
::tensorflow::Output x_backprop
Public functions
FusedBatchNormGrad
FusedBatchNormGrad( const ::tensorflow::Scope & scope, ::tensorflow::Input y_backprop, ::tensorflow::Input x, ::tensorflow::Input scale, ::tensorflow::Input reserve_space_1, ::tensorflow::Input reserve_space_2 )
FusedBatchNormGrad
FusedBatchNormGrad( const ::tensorflow::Scope & scope, ::tensorflow::Input y_backprop, ::tensorflow::Input x, ::tensorflow::Input scale, ::tensorflow::Input reserve_space_1, ::tensorflow::Input reserve_space_2, const FusedBatchNormGrad::Attrs & attrs )
Public static functions
DataFormat
Attrs DataFormat( StringPiece x )
Epsilon
Attrs Epsilon( float x )
IsTraining
Attrs IsTraining( bool x )