Randomly shuffles a tensor along its first dimension.
tf.raw_ops.RandomShuffle(
value, seed=0, seed2=0, name=None
)
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 | |
|---|---|
value
|
A Tensor. The tensor to be shuffled.
|
seed
|
An optional int. Defaults to 0.
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
|
An optional int. Defaults to 0.
A second seed to avoid seed collision.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as value.
|