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 |
|
---|---|
ExtractVolumePatches
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
input, const gtl::ArraySlice< int > & ksizes, const gtl::ArraySlice< int > & strides, StringPiece padding)
|
Public attributes |
|
---|---|
operation
|
|
patches
|
Public functions |
|
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node
() const
|
::tensorflow::Node *
|
operator::tensorflow::Input
() const
|
|
operator::tensorflow::Output
() const
|
|
Public attributes
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