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.

Returns:

• Output: The output tensor.

Public attributes

::tensorflow::Output output

Public functions

 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
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const