tensorflow::ops::BiasAddGrad

#include <nn_ops.h>

The backward operation for "BiasAdd" on the "bias" tensor.

Summary

It accumulates all the values from out_backprop into the feature dimension. For NHWC data format, the feature dimension is the last. For NCHW data format, the feature dimension is the third-to-last.

Arguments:

  • scope: A Scope object
  • out_backprop: Any number of dimensions.

Optional attributes (see Attrs):

  • data_format: Specify the data format of the input and output data. With the default format "NHWC", the bias tensor will be added to the last dimension of the value tensor. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width]. The tensor will be added to "in_channels", the third-to-the-last dimension.

Returns:

  • Output: 1-D with size the feature dimension of out_backprop.

Constructors and Destructors

BiasAddGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input out_backprop)
BiasAddGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input out_backprop, const BiasAddGrad::Attrs & attrs)

Public attributes

output

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public static functions

DataFormat(StringPiece x)

Structs

tensorflow::ops::BiasAddGrad::Attrs

Optional attribute setters for BiasAddGrad.

Public attributes

output

::tensorflow::Output output

Public functions

BiasAddGrad

 BiasAddGrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input out_backprop
)

BiasAddGrad

 BiasAddGrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input out_backprop,
  const BiasAddGrad::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

DataFormat

Attrs DataFormat(
  StringPiece x
)