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]]

Args:

  • 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
)