tensorflow::ops::SparseSegmentMeanWithNumSegments

#include <math_ops.h>

Computes the mean along sparse segments of a tensor.

Summary

Like SparseSegmentMean, 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.

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

SparseSegmentMeanWithNumSegments(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

SparseSegmentMeanWithNumSegments

 SparseSegmentMeanWithNumSegments(
  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