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 missing, 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]]

Args:

  • 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

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

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