tensorflow::ops::ArgMax

#include <math_ops.h>

Returns the index with the largest 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.argmax(input = a)
c = tf.keras.backend.eval(b)
# c = 4
# here a[4] = 166.32 which is the largest 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:

• Output: The output tensor.

Public attributes

Operation operation

::tensorflow::Output output

Public functions

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

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

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const 

Public static functions

Attrs OutputType(
  DataType x
)