tensorflow:: ops:: AvgPool3DGrad

#include <nn_ops.h>

Computes gradients of average pooling function.

Summary

Args:

  • scope: A Scope object
  • orig_input_shape: The original input dimensions.
  • grad: Output backprop of shape [batch, depth, rows, cols, channels] .
  • ksize: 1-D tensor of length 5. The size of the window for each dimension of the input tensor. Must have ksize[0] = ksize[4] = 1 .
  • strides: 1-D tensor of length 5. The stride of the sliding window for each dimension of input . Must have strides[0] = strides[4] = 1 .
  • padding: The type of padding algorithm to use.

Optional attributes (see Attrs ):

  • data_format: The data format of the input and output data. With the default format "NDHWC", the data is stored in the order of: [batch, in_depth, in_height, in_width, in_channels]. Alternatively, the format could be "NCDHW", the data storage order is: [batch, in_channels, in_depth, in_height, in_width].

Returns:

Constructors and Destructors

AvgPool3DGrad (const :: tensorflow::Scope & scope, :: tensorflow::Input orig_input_shape, :: tensorflow::Input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding)
AvgPool3DGrad (const :: tensorflow::Scope & scope, :: tensorflow::Input orig_input_shape, :: tensorflow::Input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding, const AvgPool3DGrad::Attrs & attrs)

Public attributes

operation
output

Public functions

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

Public static functions

DataFormat (StringPiece x)

Structs

tensorflow:: ops:: AvgPool3DGrad:: Attrs

Optional attribute setters for AvgPool3DGrad .

Public attributes

operation 

Operation operation

output 

::tensorflow::Output output

Public functions

AvgPool3DGrad 

 AvgPool3DGrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input orig_input_shape,
  ::tensorflow::Input grad,
  const gtl::ArraySlice< int > & ksize,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding
)

AvgPool3DGrad 

 AvgPool3DGrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input orig_input_shape,
  ::tensorflow::Input grad,
  const gtl::ArraySlice< int > & ksize,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding,
  const AvgPool3DGrad::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
)