tensorflow::ops::RandomShuffle

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.

Public attributes

Operation operation

::tensorflow::Output output

Public functions

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

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

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Public static functions

Attrs Seed( int64 x )

Attrs Seed2( int64 x )