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:
```prettyprint [[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
orseed2
are set to be nonzero, 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 asvalue
, 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 


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:: 
Optional attribute setters for RandomShuffle. 
Public attributes
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 )