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.

Arguments:

  • scope: A Scope object
  • dimension: int32 or int64, 0 <= dimension < 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

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

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
)