tensorflow::ops::MaxPool3DGradGrad

#include <nn_ops.h>

Computes second-order gradients of the maxpooling 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.

Optional attributes (see Attrs):

  • data_format: The data format of the input and output data. With the default format "NDHWC", the data is stored in the order of: [batch, in_depth, in_height, in_width, in_channels]. Alternatively, the format could be "NCDHW", the data storage order is: [batch, in_channels, in_depth, in_height, in_width].

Returns:

  • Output: Gradients of gradients w.r.t. the input to max_pool.
Constructors and Destructors
MaxPool3DGradGrad(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)
MaxPool3DGradGrad(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, const MaxPool3DGradGrad::Attrs & attrs)
Public attributes
operation
output
Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const
Public static functions
DataFormat(StringPiece x)
Structs
tensorflow::ops::MaxPool3DGradGrad::Attrs

Optional attribute setters for MaxPool3DGradGrad.

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

MaxPool3DGradGrad

 MaxPool3DGradGrad(
  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
)

MaxPool3DGradGrad

 MaxPool3DGradGrad(
  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,
  const MaxPool3DGradGrad::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

operator::tensorflow::Input() const 

operator::tensorflow::Output

operator::tensorflow::Output() const 

Public static functions

DataFormat

Attrs DataFormat(
  StringPiece x
)

© 2020 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/versions/r1.15/api_docs/cc/class/tensorflow/ops/max-pool3-d-grad-grad