`asarray`: Add support for NumPy scalars (#90914)
Follow up from: Quansight-Labs/numpy_pytorch_interop#3
This PR adds support for NumPy scalars for `torch.asarray`.
**Before:** treats the scalar as an object that implements the buffer protocol. Thus, interprets the data as the default data type (`float32`)
```python
>>> torch.asarray(numpy.float64(0.5))
tensor([0.0000, 1.7500])
```
**After:** identifies the NumPy scalar, and does the "right" thing. i.e. creates a 0-dimensional tensor from the NumPy array that doesn't share its memory
```python
>>> torch.asarray(numpy.float64(0.5))
tensor(0.5000, dtype=torch.float64)
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/90914
Approved by: https://github.com/lezcano, https://github.com/mruberry
