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/TensorFlow C++ 2.3

tensorflow::ops::ArgMin

#include <math_ops.h>

Returns the index with the smallest value across dimensions of a tensor.

Summary

Note that in case of ties the identity of the return value is not guaranteed.

Usage:

import tensorflow as tf
a = [1, 10, 26.9, 2.8, 166.32, 62.3]
b = tf.math.argmin(input = a)
c = tf.keras.backend.eval(b)
# c = 0
# here a[0] = 1 which is the smallest element of a across axis 0

Arguments:

  • scope: A Scope object
  • dimension: int32 or int64, must be in the range [-rank(input), rank(input)). Describes which dimension of the input Tensor to reduce across. For vectors, use dimension = 0.

Returns:

Constructors and Destructors
ArgMin(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input dimension)
ArgMin(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input dimension, const ArgMin::Attrs & attrs)
Public attributes
operation
output
Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const
Public static functions
OutputType(DataType x)
Structs
tensorflow::ops::ArgMin::Attrs

Optional attribute setters for ArgMin.

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

ArgMin

 ArgMin(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input dimension
)

ArgMin

 ArgMin(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input dimension,
  const ArgMin::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

operator::tensorflow::Input() const 

operator::tensorflow::Output

operator::tensorflow::Output() const 

Public static functions

OutputType

Attrs OutputType(
  DataType x
)

© 2020 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/versions/r2.3/api_docs/cc/class/tensorflow/ops/arg-min