tensorflow::ops::SparseSegmentSumWithNumSegments

#include <math_ops.h>

Computes the sum along sparse segments of a tensor.

Summary

Like SparseSegmentSum, but allows missing ids in segment_ids. If an id is misisng, the output tensor at that position will be zeroed.

Read the section on segmentation for an explanation of segments.

For example:

c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]])

tf.sparse_segment_sum_with_num_segments(
    c, tf.constant([0, 1]), tf.constant([0, 0]), num_segments=3)
# => [[0 0 0 0]
#     [0 0 0 0]
#     [0 0 0 0]]

tf.sparse_segment_sum_with_num_segments(c,
                                        tf.constant([0, 1]),
                                        tf.constant([0, 2],
                                        num_segments=4))
# => [[ 1  2  3  4]
#     [ 0  0  0  0]
#     [-1 -2 -3 -4]
#     [ 0  0  0  0]]

Arguments:

  • scope: A Scope object
  • indices: A 1-D tensor. Has same rank as segment_ids.
  • segment_ids: A 1-D tensor. Values should be sorted and can be repeated.
  • num_segments: Should equal the number of distinct segment IDs.

Returns:

  • Output: Has same shape as data, except for dimension 0 which has size num_segments.

Constructors and Destructors

SparseSegmentSumWithNumSegments(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input indices, ::tensorflow::Input segment_ids, ::tensorflow::Input num_segments)

Public attributes

output

Public functions

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

Public attributes

output

::tensorflow::Output output

Public functions

SparseSegmentSumWithNumSegments

 SparseSegmentSumWithNumSegments(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input indices,
  ::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