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:

• Output: The reduced tensor.

Public attributes

Operation operation

::tensorflow::Output output

Public functions

 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
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const 

Public static functions

Attrs KeepDims(
  bool x
)