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### `tf.random_shuffle(value, seed=None, name=None)` {#random_shuffle}
Randomly shuffles a tensor along its first dimension.
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:
```python
[[1, 2], [[5, 6],
[3, 4], ==> [1, 2],
[5, 6]] [3, 4]]
```
##### Args:
* <b>`value`</b>: A Tensor to be shuffled.
* <b>`seed`</b>: A Python integer. Used to create a random seed for the distribution.
See
[`set_random_seed`](../../api_docs/python/constant_op.md#set_random_seed)
for behavior.
* <b>`name`</b>: A name for the operation (optional).
##### Returns:
A tensor of same shape and type as `value`, shuffled along its first
dimension.
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