fall back to eager on `NotImplementedError` (#107863)
Follow-up to https://github.com/pytorch/pytorch/pull/107710:
Help dynamo fall back to eager when compiling unimplemented numpy constructs:
- arrays of strings
- (arg){min, max} for complex types
- various arguments typed as NotImplemented (`np.ones(4, order="F")` etc)
- numpy functions which torch._numpy does not implement
To test, run (we do not implement arrays of strings)
```
import torch
import numpy as np
@torch.compile(fullgraph=False)
def fn():
return np.asarray(["L", "U"])
```
and observe it compiles with fullgraph=False and fails with fullgraph=True
Fixes https://github.com/pytorch/pytorch/issues/107970
Pull Request resolved: https://github.com/pytorch/pytorch/pull/107863
Approved by: https://github.com/ezyang, https://github.com/lezcano
