ModuleInfo-based tests for AOTAutograd (#90980)
Adds a set of generated tests for `AOTAutograd` using the `ModuleInfo` db, analogous to the `OpInfo`-based tests. Includes the following changes:
* Adds a `TestEagerFusionModuleInfo` test class, with both symbolic and non-symbolic tests, just like the OpInfo tests.
* Test logic "functionalizes" the module under test and calls into the now-factored-out verification logic the OpInfo tests use to compare compiled vs. non-compiled function outputs / grads.
* Adds a `decorateForModules(decorator, module_set)` utility to `test/functorch/common_utils.py` to handle xfails, skips, etc. The pre-existing logic is specific to ops, and I didn't want to duplicate all that, so I kept additions minimal with this function.
* Bunch of xfails to get everything passing; haven't looked deeply into all these yet. #90500 is relevant for the RNN failures.
* Fixes a bug in the `ModuleInfo` entry for `NLLLoss` to ensure sample input has the requested `requires_grad` setting (was causing spurious test failures).
Pull Request resolved: https://github.com/pytorch/pytorch/pull/90980
Approved by: https://github.com/ezyang
