tensorflow::ops::UnsortedSegmentMin

#include <math_ops.h>

Computes the minimum along segments of a tensor.

Summary

Read the section on segmentation for an explanation of segments.

This operator is similar to the unsorted segment sum operator found (here). Instead of computing the sum over segments, it computes the minimum such that:

\(output_i = data_j\) where min is over j such that segment_ids[j] == i.

If the minimum is empty for a given segment ID i, it outputs the largest possible value for the specific numeric type, output[i] = numeric_limits::max().

Arguments:

  • scope: A Scope object
  • segment_ids: A 1-D tensor whose rank is equal to the rank of data's first dimension.

Returns:

  • Output: Has same shape as data, except for dimension 0 which has size num_segments.

Constructors and Destructors

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

Public attributes

output

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

output

::tensorflow::Output output

Public functions

UnsortedSegmentMin

 UnsortedSegmentMin(
  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