tensorflow::ops::ArgMin

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 

Args:

• 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

 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 )

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Public static functions

Attrs OutputType( DataType x )