# tensorflow:: ops:: UnsortedSegmentSum

#include <math_ops.h>

Computes the sum along segments of a tensor.

## Summary

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.math.unsorted_segment_sum(c, tf.constant([0, 1, 0]), num_segments=2)
# ==> [[ 5, 5, 5, 5],
#       [5, 6, 7, 8]]

Args:

• scope: A Scope object
• segment_ids: A tensor whose shape is a prefix of 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)

operation
output

### Public functions

node () const
::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

## Public attributes

### operation

Operation operation

### output

::tensorflow::Output output

## Public functions

### UnsortedSegmentSum

UnsortedSegmentSum(
const ::tensorflow::Scope & scope,
::tensorflow::Input data,
::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
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