#include <math_ops.h>
Computes the sum along segments of a tensor.
Read the section on segmentation for an explanation of segments.
Computes a tensor such that \(output[i] = {j...} data[j...]\) where the sum is over tuples j...
such that segment_ids[j...] == i
. Unlike SegmentSum
, segment_ids
need not be sorted and need not cover all values in the full range of valid values.
If the sum is empty for a given segment ID i
, output[i] = 0
. If the given segment ID i
is negative, the value is dropped and will not be added to the sum of the segment.
num_segments
should equal the number of distinct segment IDs.
c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]]) tf.unsorted_segment_sum(c, tf.constant([0, 1, 0]), num_segments=2) # ==> [[ 5, 5, 5, 5], # [5, 6, 7, 8]]
Arguments:
data.shape
.Returns:
Output
: Has same shape as data, except for the first segment_ids.rank
dimensions, which are replaced with a single dimension which has size num_segments
. Constructors and Destructors | |
---|---|
UnsortedSegmentSum(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids, ::tensorflow::Input num_segments) |
Public attributes | |
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operation | |
output |
Public functions | |
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node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Operation operation
::tensorflow::Output output
UnsortedSegmentSum( const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids, ::tensorflow::Input num_segments )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
© 2020 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/versions/r2.3/api_docs/cc/class/tensorflow/ops/unsorted-segment-sum