tensorflow::ops::SegmentMax

tensorflow::ops::SegmentMax

#include <math_ops.h>

Computes the maximum along segments of a tensor.

Summary

Read$math_ops::segmentation$the section on segmentation} for an explanation of segments.

Computes a tensor such that \(output_i = (data_j)\) where max is over j such that segment_ids[j] == i.

If the max is empty for a given segment ID i, output[i] = 0.

Arguments:

  • scope: A Scope object
  • segment_ids: A 1-D tensor whose rank is equal to the rank of data's first dimension. Values should be sorted and can be repeated.

Returns:

  • Output: Has same shape as data, except for dimension 0 which has size k, the number of segments.
Constructors and Destructors
SegmentMax(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids)
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

SegmentMax

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

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

operator::tensorflow::Input() const 

operator::tensorflow::Output

operator::tensorflow::Output() const 

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/segment-max.html

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