tensorflow:: ops:: Dilation2DBackpropInput
#include <nn_ops.h>
Computes the gradient of morphological 2-D dilation with respect to the input.
Summary
Args:
- 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
: 4-D with shape[batch, in_height, in_width, depth]
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Constructors and Destructors |
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Dilation2DBackpropInput(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)
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Public attributes |
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in_backprop
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operation
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public attributes
in_backprop
::tensorflow::Output in_backprop
operation
Operation operation
Public functions
Dilation2DBackpropInput
Dilation2DBackpropInput( 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