[ROCm] unskip test_fx tests

Merge branch 'master' of https://github.com/pytorch/pytorch into niki…

…taved/compressed_index_check

fix linter

Support python 3.11 changes.

Update on "Fix ModuleInfo skip logic"


Fixes pytorch#80247

This PR:
* Refactors the skip logic as done for OpInfo in pytorch#62713, fixing the logic error
* For tests that were wrongly skipped before and now fail:
    * Fix `TestModule.test_cpu_gpu_parity` to support Lazy modules - this was affecting `LazyConv*`
    * Adds `expectedFailure` decorators and a follow-up message to address `Conv*` failures on `TestModule.test_memory_format`

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Rebase on "Fix istft default output length"


Fixes pytorch#79778

The old code uses `end = -1` for non-centered input when no length is
given, however `end` should point one past the end, so it was trimming
away the last element.

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Update on "Support per-parameter test decoration"


Fixes pytorch#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` and `modules`.
* (minor) Refactors `ModuleInfo` slightly to better match `OpInfo`; replace `should_skip()` with `get_decorators()` and merge `skips` and `decorators`.
* (minor) Fixes a couple `ModuleInfo` naming oddities uncovered during testing.

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better skip?

Update on "[_shard] make ShardedTensor be a Tensor and nn.Parameter"

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oops direc