tensorflow::ops::RandomShuffle

#include <random_ops.h>

Randomly shuffles a tensor along its first dimension.

Summary

The tensor is shuffled along dimension 0, such that each value[j] is mapped to one and only one output[i]. For example, a mapping that might occur for a 3x2 tensor is:

[[1, 2],       [[5, 6],
 [3, 4],  ==>   [1, 2],
 [5, 6]]        [3, 4]]

Arguments:

  • scope: A Scope object
  • value: The tensor to be shuffled.

Optional attributes (see Attrs):

  • seed: If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed.
  • seed2: A second seed to avoid seed collision.

Returns:

  • Output: A tensor of same shape and type as value, shuffled along its first dimension.

Constructors and Destructors
RandomShuffle(const ::tensorflow::Scope & scope, ::tensorflow::Input value)
RandomShuffle(const ::tensorflow::Scope & scope, ::tensorflow::Input value, const RandomShuffle::Attrs & attrs)

Public attributes
operation
output

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

Public static functions
Seed(int64 x)
Seed2(int64 x)

Structs
tensorflow::ops::RandomShuffle::Attrs

Optional attribute setters for RandomShuffle.

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

RandomShuffle

 RandomShuffle(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input value
)

RandomShuffle

 RandomShuffle(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input value,
  const RandomShuffle::Attrs & attrs
)

node

::tensorflow::Node * node() const

operator::tensorflow::Input

 operator::tensorflow::Input() const

operator::tensorflow::Output

 operator::tensorflow::Output() const

Public static functions

Seed

Attrs Seed(
  int64 x
)

Seed2

Attrs Seed2(
  int64 x
)