[ROCm] Fix AttributeError for torch.compiler.skip_all_guards_unsafe on older PyTorch

[AndreasKaratzas]

• use skip_all_guards_unsafe to drop global_state and torch_function_mode_stack guards instead of previous hacks #36204 replaced the guard filter lambda with torch.compiler.skip_all_guards_unsafe, which doesn't exist in PyTorch < 2.10
• Adds a hasattr check to fall back to the equivalent lambda x: [False for _ in x] on older versions
• Fixes AttributeError: module 'torch.compiler' has no attribute 'skip_all_guards_unsafe' when running any model inference

Test plan

• pytest -s-v tests/test_regression.py::test_max_tokens_none
• pytest -s -v tests/v1/entrypoints/llm/test_struct_output_generate.py

cc @kenroche

[gemini-code-assist]

Code Review

This pull request correctly addresses a compatibility issue with older PyTorch versions by adding a fallback for torch.compiler.skip_all_guards_unsafe. I've suggested a small improvement to make the implementation more concise and Pythonic by using getattr, which enhances code maintainability.

[gemini-code-assist]

This if/else block can be simplified by using getattr with a default value. This approach is more concise and Pythonic for checking for an attribute and providing a fallback, which improves code readability and maintainability.

Suggested change

	if hasattr(torch.compiler, "skip_all_guards_unsafe"):
	options["guard_filter_fn"] = torch.compiler.skip_all_guards_unsafe
	else:
	options["guard_filter_fn"] = lambda x: [False for _ in x]
	options["guard_filter_fn"] = getattr(
	torch.compiler,
	"skip_all_guards_unsafe",
	lambda x: [False for _ in x])

[AndreasKaratzas]

I considered getattr but went with hasattr instead. It makes the version-dependent branching more explicit and easier to spot. Added comments to clarify the intent behind each path.

[gpolovets1]

Hi @AndreasKaratzas thanks for this fix! Would you be able to expedite merging, as it is breaking some downstream tests for TPU as well.
Thanks!