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