tensorflow::ops::SparseSegmentMeanWithNumSegments

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.

Public attributes

Operation operation

::tensorflow::Output output

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

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const