tensorflow::ops::EuclideanNorm

#include <math_ops.h>

Computes the euclidean norm of elements across dimensions of a tensor.

Summary

Reduces input along the dimensions given in axis. Unless keep_dims is true, the rank of the tensor is reduced by 1 for each entry in axis. If keep_dims is true, the reduced dimensions are retained with length 1.

Arguments:

  • scope: A Scope object
  • input: The tensor to reduce.
  • axis: The dimensions to reduce. Must be in the range [-rank(input), rank(input)).

Optional attributes (see Attrs):

  • keep_dims: If true, retain reduced dimensions with length 1.

Returns:

Constructors and Destructors
EuclideanNorm(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis)
EuclideanNorm(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input axis, const EuclideanNorm::Attrs & attrs)

Public attributes
operation
output

Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public static functions
KeepDims(bool x)

Structs
tensorflow::ops::EuclideanNorm::Attrs

Optional attribute setters for EuclideanNorm.

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

EuclideanNorm

 EuclideanNorm(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input axis
)

EuclideanNorm

 EuclideanNorm(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input axis,
  const EuclideanNorm::Attrs & attrs
)

node

::tensorflow::Node * node() const

operator::tensorflow::Input

 operator::tensorflow::Input() const

operator::tensorflow::Output

 operator::tensorflow::Output() const

Public static functions

KeepDims

Attrs KeepDims(
  bool x
)