[retry][dynamo][numpy] Add support for np.dtype (#105034)
Original PR: #103546
Trying to support numpy function call in dynamo, with numpy dtype as argument.
For example:
```
def fn(x: int):
return np.empty_like(x, dtype=np.float64)
```
This currently doesn't work because `NumpyVariable` doesn't implement `as_proxy()`. The idea in `as_proxy()` for now is to convert `np.float64` and other np.<dtype> into `str` and then feed into the corresponding `torch_np` method. The assumption here is that all `torch_np` methods that are taking `dtype` kwarg will be able to also take `str` as `dtype`. This assumption stands for `numpy`.
For previous example, we convert `np.float64` to `"float64"` in `as_proxy()` and then feed it into `torch_np.empy_like()` method.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/105034
Approved by: https://github.com/voznesenskym
