tf.raw_ops.RandomShuffle
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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. |
