tensorflow::
ops::
SparseSegmentMeanWithNumSegments
#include <math_ops.h>
Computes the mean along sparse segments of a tensor.
Summary
Like
SparseSegmentMean
, but allows missing ids in
segment_ids
. If an id is missing, the
output
tensor at that position will be zeroed.
Read the section on segmentation for an explanation of segments.
Args:
- scope: A Scope object
-
indices: A 1-D tensor. Has same rank as
segment_ids
. - segment_ids: A 1-D tensor. Values should be sorted and can be repeated.
- num_segments: Should equal the number of distinct segment IDs.
Returns:
-
Output
: Has same shape as data, except for dimension 0 which has sizenum_segments
.
Constructors and Destructors |
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SparseSegmentMeanWithNumSegments
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
data, ::
tensorflow::Input
indices, ::
tensorflow::Input
segment_ids, ::
tensorflow::Input
num_segments)
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Public attributes |
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operation
|
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output
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Public functions |
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node
() const
|
::tensorflow::Node *
|
operator::tensorflow::Input
() const
|
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operator::tensorflow::Output
() const
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Public attributes
Public functions
SparseSegmentMeanWithNumSegments
SparseSegmentMeanWithNumSegments( const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input indices, ::tensorflow::Input segment_ids, ::tensorflow::Input num_segments )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const