Defined in generated file: python/ops/gen_math_ops.py
Computes the sum along segments of a tensor.
Aliases:
tf.compat.v1.math.unsorted_segment_sum
tf.compat.v1.unsorted_segment_sum
tf.compat.v2.math.unsorted_segment_sum
tf.unsorted_segment_sum
tf.math.unsorted_segment_sum(
data,
segment_ids,
num_segments,
name=None
)
Read the section on segmentation for an explanation of segments.
Computes a tensor such that
\(output[i] = \sum_{j...} data[j...]\) 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]]
Args:
data
: ATensor
. Must be one of the following types:float32
,float64
,int32
,uint8
,int16
,int8
,complex64
,int64
,qint8
,quint8
,qint32
,bfloat16
,uint16
,complex128
,half
,uint32
,uint64
.segment_ids
: ATensor
. Must be one of the following types:int32
,int64
. A tensor whose shape is a prefix ofdata.shape
.num_segments
: ATensor
. Must be one of the following types:int32
,int64
.name
: A name for the operation (optional).
Returns:
A Tensor
. Has the same type as data
.