tensorflow::ops::MaxPoolGradGradWithArgmax

#include <nn_ops.h>

Computes second-order gradients of the maxpooling function.

Summary

Args:

  • scope: A Scope object
  • input: The original input.
  • grad: 4-D with shape [batch, height, width, channels]. Gradients w.r.t. the input of max_pool.
  • argmax: The indices of the maximum values chosen for each output of max_pool.
  • ksize: The size of the window for each dimension of the input tensor.
  • strides: The stride of the sliding window for each dimension of the input tensor.
  • padding: The type of padding algorithm to use.

Optional attributes (see Attrs):

  • include_batch_in_index: Whether to include batch dimension in flattened index of argmax.

Returns:

  • Output: Gradients of gradients w.r.t. the input of max_pool.

Constructors and Destructors

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

Public attributes

operation
output

Public functions

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

Public static functions

IncludeBatchInIndex(bool x)

Structs

tensorflow::ops::MaxPoolGradGradWithArgmax::Attrs

Optional attribute setters for MaxPoolGradGradWithArgmax.

Public attributes

Public functions

Public static functions