tensorflow::ops::MaxPool3DGrad

#include <nn_ops.h>

Computes gradients of max pooling function.

Summary

Arguments:

  • scope: A Scope object
  • orig_input: The original input tensor.
  • orig_output: The original output tensor.
  • 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
MaxPool3DGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input orig_input, ::tensorflow::Input orig_output, ::tensorflow::Input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding)
MaxPool3DGrad(const ::tensorflow::Scope & scope, ::tensorflow::Input orig_input, ::tensorflow::Input orig_output, ::tensorflow::Input grad, const gtl::ArraySlice< int > & ksize, const gtl::ArraySlice< int > & strides, StringPiece padding, const MaxPool3DGrad::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::MaxPool3DGrad::Attrs

Optional attribute setters for MaxPool3DGrad.

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

MaxPool3DGrad

 MaxPool3DGrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input orig_input,
  ::tensorflow::Input orig_output,
  ::tensorflow::Input grad,
  const gtl::ArraySlice< int > & ksize,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding
)

MaxPool3DGrad

 MaxPool3DGrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input orig_input,
  ::tensorflow::Input orig_output,
  ::tensorflow::Input grad,
  const gtl::ArraySlice< int > & ksize,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding,
  const MaxPool3DGrad::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
)