[ao][sparsity] Support for the nn.Parameter in BaseDataSparsifier
Users can now just pass in a nn.Parameter (or layer.weight) to the Data Sparsifier.
Note: The data sparsifier stores the passed nn.Parameter as a new parameter in the internal container module whose requires_grad=False.
So, essentialy when the parameter is trained, it's new values are not reflected inside the data sparsifier class
Test Plan:
```python test/test_ao_sparsity.py TestBaseDataSparsifier```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/79253
Approved by: https://github.com/z-a-f
