tf.unsorted_segment_sum
tf.unsorted_segment_sum
tf.unsorted_segment_sum
unsorted_segment_sum( data, segment_ids, num_segments, name=None )
Defined in tensorflow/python/ops/gen_math_ops.py
.
See the guide: Math > Segmentation
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] = 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
.
num_segments
should equal the number of distinct segment IDs.
Args:
-
data
: ATensor
. Must be one of the following types:float32
,float64
,int64
,int32
,uint8
,uint16
,int16
,int8
,complex64
,complex128
,qint8
,quint8
,qint32
,half
. -
segment_ids
: ATensor
. Must be one of the following types:int32
,int64
. A tensor whose shape is a prefix ofdata.shape
. -
num_segments
: ATensor
of typeint32
. -
name
: A name for the operation (optional).
Returns:
A Tensor
. Has the same type as data
. 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
.
© 2017 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/api_docs/python/tf/unsorted_segment_sum