tensorflow:: ops:: ExtractVolumePatches
#include <array_ops.h>
Extract patches
from input
and put them in the "depth"
output dimension.
Summary
3D extension of extract_image_patches
.
Args:
- scope: A Scope object
- input: 5-D Tensor with shape
[batch, in_planes, in_rows, in_cols, depth]
. - ksizes: The size of the sliding window for each dimension of
input
. - strides: 1-D of length 5. How far the centers of two consecutive patches are in
input
. Must be:[1, stride_planes, stride_rows, stride_cols, 1]
. - padding: The type of padding algorithm to use.
The size-related attributes are specified as follows:
ksizes = [1, ksize_planes, ksize_rows, ksize_cols, 1] strides = [1, stride_planes, strides_rows, strides_cols, 1]
Returns:
Output
: 5-D Tensor with shape[batch, out_planes, out_rows, out_cols, ksize_planes * ksize_rows * ksize_cols * depth]
containing patches with sizeksize_planes x ksize_rows x ksize_cols x depth
vectorized in the "depth" dimension. Noteout_planes
,out_rows
andout_cols
are the dimensions of the output patches.
Constructors and Destructors |
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ExtractVolumePatches(const ::tensorflow::Scope & scope, ::tensorflow::Input input, const gtl::ArraySlice< int > & ksizes, const gtl::ArraySlice< int > & strides, StringPiece padding)
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Public attributes |
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operation
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patches
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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
operation
Operation operation
patches
::tensorflow::Output patches
Public functions
ExtractVolumePatches
ExtractVolumePatches( const ::tensorflow::Scope & scope, ::tensorflow::Input input, const gtl::ArraySlice< int > & ksizes, 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