#include <math_ops.h>
Computes the sum along sparse segments of a tensor.
Read the section on segmentation for an explanation of segments.
Like SegmentSum
, but segment_ids
can have rank less than data
's first dimension, selecting a subset of dimension 0, specified by indices
.
For example:
```python c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]])
Select two rows, one segment.
tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 0])) => [[0 0 0 0]]
Select two rows, two segment.
tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 1])) => [[ 1 2 3 4]
[-1 -2 -3 -4]]
Select all rows, two segments.
tf.sparse_segment_sum(c, tf.constant([0, 1, 2]), tf.constant([0, 0, 1])) => [[0 0 0 0]
[5 6 7 8]]
Which is equivalent to:
tf.segment_sum(c, tf.constant([0, 0, 1])) ```
Arguments:
segment_ids
.Returns:
Output
: Has same shape as data, except for dimension 0 which has size k
, the number of segments. Constructors and Destructors | |
---|---|
SparseSegmentSum(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input indices, ::tensorflow::Input segment_ids) |
Public attributes | |
---|---|
output |
Public functions | |
---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
::tensorflow::Output output
SparseSegmentSum( const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input indices, ::tensorflow::Input segment_ids )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
© 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/cc/class/tensorflow/ops/sparse-segment-sum.html