tensorflow:: ops:: UnsortedSegmentSum

#include <math_ops.h>

Computes the sum along segments of a tensor.

Summary

Read the section on segmentation for an explanation of segments.

Computes a tensor such that \(output[i] = {j...} data[j...]\) 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:

  • scope: A Scope object
  • segment_ids: A tensor whose shape is a prefix of data.shape .

Returns:

  • Output : 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 .

Constructors and Destructors

UnsortedSegmentSum (const :: tensorflow::Scope & scope, :: tensorflow::Input data, :: 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

UnsortedSegmentSum 

 UnsortedSegmentSum(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::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