Enable stricter type checking for torch/fx

[Lucaskabela]

Summary:
Add torch/fx/** sub-config to pyrefly.toml enabling implicit-any, unannotated-return, and unannotated-parameter checks. Add tabulate to ignore-missing-imports since it is not a strict requirement

Authored with Claude.

cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy kadeng muchulee8 amjames chauhang aakhundov coconutruben jataylo

X-link: pytorch/pytorch#180625

Differential Revision: D102619388

Pulled By: Lucaskabela

[pytorch-bot]

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[meta-codesync]

@Lucaskabela has exported this pull request. If you are a Meta employee, you can view the originating Diff in D102619388.

[Copilot]

Pull request overview

Enables stricter type checking by adding explicit non-None assertions for torch.fx.Graph.owning_module in Cadence FX fusion utilities.

Changes:

• Added an assertion that node.graph.owning_module is present before reading tensor attributes in get_tensor_arg.
• Added an assertion that conv_node.graph.owning_module is present before reading optional bias attributes in _extract_conv_params.

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[Lucaskabela]

@pytorchbot label "release notes: none"

[Lucaskabela]

@JacobSzwejbka