[DataPipe] Convert MapDataPipe.shuffle to IterDataPipe (#83202)
Fixes: https://github.com/pytorch/data/issues/718
This is an alternative PR against https://github.com/pytorch/pytorch/pull/82974
This PR would change the behavior for both types to the same behavior as `IterDataPipe.shuffle`
- Lazily generating seed per iteration
- Each iterators has a new seed
- Convert `MapDataPipe.shuffle` to an `IterDataPipe`
## BC-breaking Note:
This PR changes the return type of `MapDataPipe.shuffle` from a `MapDataPipe` to a `IterDataPipe`.
### 1. 12
Output as `MapDataPipe`
```
>>> from torch.utils.data import IterDataPipe, MapDataPipe
>>> from torch.utils.data.datapipes.map import SequenceWrapper
>>> dp = SequenceWrapper(list(range(10))).shuffle()
>>> isinstance(dp, MapDataPipe)
True
>>> isinstance(dp, IterDataPipe)
False
```
### This PR:
Output as `IterDataPipe`
```
>>> from torch.utils.data import IterDataPipe, MapDataPipe
>>> from torch.utils.data.datapipes.map import SequenceWrapper
>>> dp = SequenceWrapper(list(range(10))).shuffle()
>>> isinstance(dp, MapDataPipe)
False
>>> isinstance(dp, IterDataPipe)
True
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/83202
Approved by: https://github.com/NivekT
