Remove specific lazy initialization of PrivateUse1

[FFFrog]

Stack from ghstack (oldest at bottom):

• -> Remove specific lazy initialization of PrivateUse1 #135002

As the title stated, lazy initialization of PrivateUse1 can been
removed because maybe_initialize_device have supported PrivateUse1

[pytorch-bot]

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/135002

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✅ You can merge normally! (3 Unrelated Failures)

As of commit 0d6edc5 with merge base e000cf0 ():

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

• linux-binary-libtorch-cxx11-abi / libtorch-cpu-shared-with-deps-cxx11-abi-test / test (gh) (similar failure)
  RuntimeError: Didn't find enought cxx11 symbols
• linux-binary-libtorch-pre-cxx11 / libtorch-cpu-shared-with-deps-pre-cxx11-test / test (gh) (detected as infra flaky with no log or failing log classifier)
• pull / linux-focal-py3.11-clang10 / test (dynamo, 3, 3, linux.2xlarge) (gh) (disabled by #134602)
  test_transformers.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable_backward

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[albanD]

Thanks for the cleanup.

[FFFrog]

@pytorchbot merge

[pytorchmergebot]

Merge started

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[pytorchmergebot]

Merge failed

Reason: 4 jobs have failed, first few of them are: trunk / linux-focal-cuda12.1-py3.10-gcc9-no-ops / build, trunk / linux-focal-cuda12.4-py3.10-gcc9-experimental-split-build / build, trunk / linux-focal-cuda11.8-py3.10-gcc9-experimental-split-build / build, trunk / linux-focal-cuda12.4-py3.10-gcc9-no-ops / build

Details for Dev Infra team

Raised by workflow job

[FFFrog]

@pytorchbot merge -r

[pytorchmergebot]

@pytorchbot started a rebase job onto refs/remotes/origin/viable/strict. Check the current status here

[pytorchmergebot]

Successfully rebased gh/fffrog/16/orig onto refs/remotes/origin/viable/strict, please pull locally before adding more changes (for example, via ghstack checkout https://github.com/pytorch/pytorch/pull/135002)

[pytorchmergebot]

Merge started

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Learn more about merging in the wiki.

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

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