Fix `torch._numpy.random` (#108944)
Fix several issues with `torch._numpy.random` functions on eager
1. actually return scalars when `size is None`
2. fix dispatch with USE_NUMPY_STREAM
3. make tnp.random functions composable: make numpy functions receive numpy arguments, not `tnp.ndarray`s
4. fix random.shuffle for e.g. lists
The main need for this gymnastics is due to `np.random` functions returning an ndarray or python scalar depending on the `size` argument. We decided a while ago to replicate this behavior in `tnp.random` and not elsewhere where we always return 0D arrays instead.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/108944
Approved by: https://github.com/lezcano
