Use bool/float instead of np.bool/np.float (#52103)
Summary:
This is causing type hint test errors on the latest numpy:
```
torch/testing/_internal/common_quantized.py:38: error: Module has no attribute "float"; maybe "float_", "cfloat", or "float64"? [attr-defined]
torch/testing/_internal/common_methods_invocations.py:758: error: Module has no attribute "bool"; maybe "bool_" or "bool8"? [attr-defined]
```
Runtime-wise, there's also a deprecation warning:
```
__main__:1: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
```
Fixes #{issue number}
Pull Request resolved: https://github.com/pytorch/pytorch/pull/52103
Reviewed By: suo
Differential Revision: D26401210
Pulled By: albanD
fbshipit-source-id: a7cc12ca402c6645473c98cfc82caccf161160c9
