tensorflow::ops::Dilation2DBackpropInput

#include <nn_ops.h>

Computes the gradient of morphological 2-D dilation with respect to the input.

Summary

Args:

  • scope: A Scope object
  • input: 4-D with shape [batch, in_height, in_width, depth].
  • filter: 3-D with shape [filter_height, filter_width, depth].
  • out_backprop: 4-D with shape [batch, out_height, out_width, depth].
  • strides: 1-D of length 4. The stride of the sliding window for each dimension of the input tensor. Must be: [1, stride_height, stride_width, 1].
  • rates: 1-D of length 4. The input stride for atrous morphological dilation. Must be: [1, rate_height, rate_width, 1].
  • padding: The type of padding algorithm to use.

Returns:

  • Output: 4-D with shape [batch, in_height, in_width, depth].

Constructors and Destructors
Dilation2DBackpropInput(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input filter, ::tensorflow::Input out_backprop, const gtl::ArraySlice< int > & strides, const gtl::ArraySlice< int > & rates, StringPiece padding)

Public attributes
in_backprop
operation

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

Public attributes

in_backprop

::tensorflow::Output in_backprop

operation

Operation operation

Public functions

Dilation2DBackpropInput

 Dilation2DBackpropInput(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input filter,
  ::tensorflow::Input out_backprop,
  const gtl::ArraySlice< int > & strides,
  const gtl::ArraySlice< int > & rates,
  StringPiece padding
)

node

::tensorflow::Node * node() const

operator::tensorflow::Input

 operator::tensorflow::Input() const

operator::tensorflow::Output

 operator::tensorflow::Output() const