Support per-parameter test decoration (#91658)
Continuation of #79979.
Fixes #79161
This PR does the following:
* Expands the `parametrize_fn()` signature from returning a 3-tuple of `(test, test_name, param_kwargs)` to returning a 4-tuple of `(test, test_name, param_kwargs, decorator_fn)`. Expected signature for the addition is `decorator_fn(param_kwargs) -> List[decorator]` i.e. given the full set of test params, return a list of decorators to apply.
* `modules`, `ops`, and `parametrize` now fit the new signature, returning `decorator_fn`s instead of applying decorators themselves.
* `instantiate_parametrized_tests()` and `instantiate_device_type_tests()` now call the returned `decorator_fn`, passing in the full set of `param_kwargs` (after composition + `device` / `dtype` additions) and applying the returned decorators.
* Composing multiple `parametrize_fn`s also composes the corresponding `decorator_fn`s; the composed `decorator_fn` simply concatenates the decorator lists returned by the constituents.
* Expands `DecorateInfo.is_active` to support callables:
```python
DecorateInfo(
unittest.expectedFailure, "TestOps", "test_python_ref_executor",
device_type='cuda', active_if=lambda params: params['executor'] == 'nvfuser'
),
```
* Adds several tests to `test/test_testing.py` ensuring proper decoration using `@parametrize`, `@modules`, and `@ops`.
* (minor) Fixes a couple `ModuleInfo` naming oddities uncovered during testing.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/91658
Approved by: https://github.com/malfet
