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[Linter] Expanding the scope of detecting device-bias code.#159949

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[Linter] Expanding the scope of detecting device-bias code.#159949
etaf wants to merge 5 commits intogh/etaf/152/basefrom
gh/etaf/152/head

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@etaf etaf commented Aug 6, 2025

Stack from ghstack (oldest at bottom):

Currently, the device-bias linter only targets functions decorated with @requires_gpu. This PR adds support for two new detection scenarios:

  1. Detect device-bias code in functions decorated with @requires_triton.
  2. Detect device-bias code for entire test suites that are defined as shared across GPUs. For example:
if __name__ == "__main__":
    if HAS_GPU:
        run_tests()

cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben @Lucaskabela

Currently, the device-bias linter only targets functions decorated with @requires_gpu. This PR adds support for two new detection scenarios:
1. Detect device-bias code in functions decorated with @requires_triton.
2. Detect device-bias code for entire test suites that are defined as shared across GPUs.

[ghstack-poisoned]
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pytorch-bot bot commented Aug 6, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/159949

Note: Links to docs will display an error until the docs builds have been completed.

✅ You can merge normally! (1 Unrelated Failure)

As of commit c989db5 with merge base 24257f5 (image):

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etaf added a commit that referenced this pull request Aug 6, 2025
Currently, the device-bias linter only targets functions decorated with requires_gpu. This PR adds support for two new detection scenarios:
1. Detect device-bias code in functions decorated with requires_triton.
2. Detect device-bias code for entire test suites that are defined as shared across GPUs.

ghstack-source-id: c281a61
Pull Request resolved: #159949
Currently, the device-bias linter only targets functions decorated with requires_gpu. This PR adds support for two new detection scenarios:
1. Detect device-bias code in functions decorated with requires_triton.
2. Detect device-bias code for entire test suites that are defined as shared across GPUs. For example:
```
if __name__ == "__main__":
    if HAS_GPU:
        run_tests()

```


cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy chenyang78 kadeng muchulee8 amjames chauhang aakhundov coconutruben Lucaskabela

[ghstack-poisoned]
etaf added a commit that referenced this pull request Aug 6, 2025
Currently, the device-bias linter only targets functions decorated with requires_gpu. This PR adds support for two new detection scenarios:
1. Detect device-bias code in functions decorated with requires_triton.
2. Detect device-bias code for entire test suites that are defined as shared across GPUs.

ghstack-source-id: 1c861e7
Pull Request resolved: #159949
Currently, the device-bias linter only targets functions decorated with requires_gpu. This PR adds support for two new detection scenarios:
1. Detect device-bias code in functions decorated with requires_triton.
2. Detect device-bias code for entire test suites that are defined as shared across GPUs. For example:
```
if __name__ == "__main__":
    if HAS_GPU:
        run_tests()

```


cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy chenyang78 kadeng muchulee8 amjames chauhang aakhundov coconutruben Lucaskabela

[ghstack-poisoned]
etaf added a commit that referenced this pull request Aug 6, 2025
Currently, the device-bias linter only targets functions decorated with requires_gpu. This PR adds support for two new detection scenarios:
1. Detect device-bias code in functions decorated with requires_triton.
2. Detect device-bias code for entire test suites that are defined as shared across GPUs.

ghstack-source-id: 46fbe22
Pull Request resolved: #159949
@etaf etaf requested a review from malfet August 6, 2025 11:09
Currently, the device-bias linter only targets functions decorated with requires_gpu. This PR adds support for two new detection scenarios:
1. Detect device-bias code in functions decorated with requires_triton.
2. Detect device-bias code for entire test suites that are defined as shared across GPUs. For example:
```
if __name__ == "__main__":
    if HAS_GPU:
        run_tests()

```


cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy chenyang78 kadeng muchulee8 amjames chauhang aakhundov coconutruben Lucaskabela

[ghstack-poisoned]
etaf added a commit that referenced this pull request Aug 6, 2025
Currently, the device-bias linter only targets functions decorated with requires_gpu. This PR adds support for two new detection scenarios:
1. Detect device-bias code in functions decorated with requires_triton.
2. Detect device-bias code for entire test suites that are defined as shared across GPUs.

ghstack-source-id: e342ab2
Pull Request resolved: #159949
@etaf etaf requested a review from jansel August 6, 2025 19:59
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etaf commented Aug 8, 2025

@pytorchbot merge

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Aug 8, 2025
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Merge started

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Merge failed

Reason: Command git -C /home/runner/work/pytorch/pytorch cherry-pick -x b38bdd0d256cd155506bc61641cfcd056f48fe46 returned non-zero exit code 1

Auto-merging test/inductor/test_aot_inductor.py
Auto-merging test/inductor/test_max_autotune.py
Auto-merging tools/linter/adapters/test_device_bias_linter.py
CONFLICT (content): Merge conflict in tools/linter/adapters/test_device_bias_linter.py
error: could not apply b38bdd0d256... [Linter] Expanding the scope of detecting device-bias code.
hint: After resolving the conflicts, mark them with
hint: "git add/rm <pathspec>", then run
hint: "git cherry-pick --continue".
hint: You can instead skip this commit with "git cherry-pick --skip".
hint: To abort and get back to the state before "git cherry-pick",
hint: run "git cherry-pick --abort".
hint: Disable this message with "git config set advice.mergeConflict false"
Details for Dev Infra team Raised by workflow job

Currently, the device-bias linter only targets functions decorated with requires_gpu. This PR adds support for two new detection scenarios:
1. Detect device-bias code in functions decorated with requires_triton.
2. Detect device-bias code for entire test suites that are defined as shared across GPUs. For example:
```
if __name__ == "__main__":
    if HAS_GPU:
        run_tests()

```


cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx ipiszy chenyang78 kadeng muchulee8 amjames chauhang aakhundov coconutruben Lucaskabela

[ghstack-poisoned]
etaf added a commit that referenced this pull request Aug 8, 2025
Currently, the device-bias linter only targets functions decorated with requires_gpu. This PR adds support for two new detection scenarios:
1. Detect device-bias code in functions decorated with requires_triton.
2. Detect device-bias code for entire test suites that are defined as shared across GPUs.

ghstack-source-id: 0afd6a8
Pull Request resolved: #159949
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etaf commented Aug 9, 2025

@pytorchbot merge

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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

@github-actions github-actions bot deleted the gh/etaf/152/head branch September 9, 2025 02:09
markc-614 pushed a commit to markc-614/pytorch that referenced this pull request Sep 17, 2025
…159949)

Currently, the device-bias linter only targets functions decorated with @requires_gpu. This PR adds support for two new detection scenarios:
1. Detect device-bias code in functions decorated with @requires_triton.
2. Detect device-bias code for entire test suites that are defined as shared across GPUs. For example:
```
if __name__ == "__main__":
    if HAS_GPU:
        run_tests()

```

Pull Request resolved: pytorch#159949
Approved by: https://github.com/EikanWang, https://github.com/jansel
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