Enable UFMT on test_decomp.py, test_expanded_weights.py and some files

[shink]

Part of: #123062

Ran lintrunner on:

• test/test_decomp.py
• test/test_deploy.py
• test/test_determination.py
• test/test_dlpack.py
• test/test_dynamic_shapes.py
• test/test_expanded_weights.py

Detail:

$ lintrunner -a --take UFMT --all-files
ok No lint issues.
Successfully applied all patches.

[pytorch-bot]

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✅ You can merge normally! (1 Unrelated Failure)

As of commit 02d7d8b with merge base 1dd42e4 ():

FLAKY - The following job failed but was likely due to flakiness present on trunk:

• pull / linux-focal-cuda12.1-py3.10-gcc9 / test (default, 1, 5, linux.4xlarge.nvidia.gpu) (gh) (similar failure)
  test_foreach.py::TestForeachCUDA::test_binary_op_list_slow_path__foreach_div_cuda_int8

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[jansel]

Looks good, but seems like there are merge conflicts that need to be resolved.

[shink]

@jansel all conflicts are resolved, please take a look, thanks!

[jansel]

@pytorchbot merge

[pytorch-bot]

This PR needs to be approved by an authorized maintainer before merge.

[jansel]

@pytorchbot merge

[pytorchmergebot]

Merge started

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[pytorchmergebot]

Merge failed

Reason: 1 mandatory check(s) failed. The first few are:

• Lint / lintrunner-noclang / linux-job

Dig deeper by viewing the failures on hud

Details for Dev Infra team

Raised by workflow job

Failing merge rule: Core Maintainers

[shink]

fixed:

--- a/test/test_dynamic_shapes.py
+++ b/test/test_dynamic_shapes.py
@@ -838,8 +838,8 @@ class f(torch.nn.Module):
         native_dropout = torch.ops.aten.native_dropout.default(new_empty, 0.5, True);  new_empty = None
         getitem: "f32[s0 + s2, 2*s1]" = native_dropout[0]
         getitem_1: "b8[s0 + s2, 2*s1]" = native_dropout[1];  native_dropout = None
-        return (getitem, getitem_1)""",
-        )  # noqa: B950
+        return (getitem, getitem_1)""",  # noqa: B950
+        )

[jansel]

@pytorchbot merge

[pytorchmergebot]

Merge started

Your change will be merged once all checks pass (ETA 0-4 Hours).

Learn more about merging in the wiki.

Questions? Feedback? Please reach out to the PyTorch DevX Team

Advanced Debugging

Check the merge workflow status
here