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enuSpace-tensorflow Manual

SparseSegmentMean

tensorflow C++ API

tensorflow::ops::SparseSegmentMean

Computes the mean along sparse segments of a tensor.

Summary

Read the section on segmentation for an explanation of segments.

LikeSegmentMean, butsegment_idscan have rank less thandata’s first dimension, selecting a subset of dimension 0, specified byindices.

Arguments:

  • scope: AScope 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.

Returns:

  • Output: Has same shape as data, except for dimension 0 which has sizek, the number of segments.

Constructor

  • SparseSegmentMean(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input indices, ::tensorflow::Input segment_ids)

Public attributes

  • tensorflow::Output output

SparseSegmentMean block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_math.cpp

Argument:

  • Scope scope : A Scope object(A scope is generated automatically each page. A scope is not connected.).
  • Input data : connect Input node.
  • Input indices : connect Input node.
  • Input segment_ids: connect Input node.

Return:

  • Output product : Output object of SparseSegmentMean class object.

Result:

  • std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method