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tensorflow::ops::Dilation2DBackpropFilter

#include <nn_ops.h>

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

Summary

Arguments:

  • 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: 3-D with shape [filter_height, filter_width, depth].
Constructors and Destructors
Dilation2DBackpropFilter(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
filter_backprop
Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

filter_backprop

::tensorflow::Output filter_backprop

Public functions

Dilation2DBackpropFilter

 Dilation2DBackpropFilter(
  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 

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/dilation2-d-backprop-filter.html