Hi @xurui1995 @makslevental,
I think in https://github.com/llvm/llvm-project/pull/103087 there's
unintended regression where user can no longer create sparse tensors
with `tensor.empty`.
Previously I could pass:
```python
out = tensor.empty(tensor_type, [])
```
where `tensor_type` contained `shape`, `dtype`, and `encoding`.
With the latest
```python
tensor.empty(sizes: Sequence[Union[int, Value]], element_type: Type, *, loc=None, ip=None)
```
it's no longer possible.
I propose to add `encoding` argument which is passed to
`RankedTensorType.get(static_sizes, element_type, encoding)` (I updated
one of the tests to check it).
a9746675a5