tensorflow::ops::MaxPoolGradGradWithArgmax
tensorflow::ops::MaxPoolGradGradWithArgmax
#include <nn_ops.h>
Computes second-order gradients of the maxpooling function.
Summary
Arguments:
- scope: A Scope object
- input: The original input.
- grad: 4-D with shape
[batch, height, width, channels]
. Gradients w.r.t. the input ofmax_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.
Returns:
-
Output
: Gradients of gradients w.r.t. the input ofmax_pool
.
Constructors and Destructors | |
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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) |
Public attributes | |
---|---|
output |
Public functions | |
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node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Public attributes
output
::tensorflow::Output output
Public functions
MaxPoolGradGradWithArgmax
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 )
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/max-pool-grad-grad-with-argmax.html