Add layout and blocksize arguments to Tensor.to_sparse method (#89502)
This PR extends the `Tensor.to_sparse()` method to `Tensor.to_sparse(layout=None, blocksize=None)` in a BC manner (`layout=None` means `layout=torch.sparse_coo`).
In addition, the PR adds support for the following conversions:
- non-hybrid/hybrid COO tensor to CSR or CSC or a COO tensor
- short, bool, byte, char, bfloat16, int, long, half CSR tensor to a BSR tensor
and fixes the following conversions:
- hybrid COO to COO tensor
- non-batch/batch hybrid BSR to BSR or BSC tensor
Pull Request resolved: https://github.com/pytorch/pytorch/pull/89502
Approved by: https://github.com/amjames, https://github.com/cpuhrsch
