[Break XPU][Inductor] Generalize new introduced device-bias code. #126261
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Inductor. [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/126261
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit e5cec93 with merge base 2d35b45 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This was referenced May 15, 2024
…s code in" Inductor. cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
etaf
changed the title
EikanWang
approved these changes
May 15, 2024
etaf
added
ciflow/trunk
peterbell10
approved these changes
May 15, 2024
|
@pytorchbot merge |
Merge startedYour 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 |
ZelboK
pushed a commit
to ZelboK/pytorch
that referenced
this pull request
May 19, 2024
We find some Inductor test case failues when enabling Inductor UT for Intel GPU, the root cause is new introduced Inductor device-bias code from recent community PRs, which cause differnet beheaviors between Intel GPU and CUDA. This PR generalize these codes to align their beheaviors. Pull Request resolved: pytorch#126261 Approved by: https://github.com/EikanWang, https://github.com/peterbell10
pytorchmergebot
pushed a commit
that referenced
this pull request
May 31, 2024
…U. (#127595) The XPU expected failure test case `TritonCodeGenTests.test_codegen_config_option_dont_assume_alignment` should have been expected passed after the PR #126261 merged, but due to test flaky, this case was skiped when landing the PR. The expected failure but passed error then exposed in periodic test: https://github.com/pytorch/pytorch/actions/runs/9302864965/job/25605549183#step:14:2082. Pull Request resolved: #127595 Approved by: https://github.com/EikanWang, https://github.com/chuanqi129, https://github.com/peterbell10, https://github.com/atalman
petrex
pushed a commit
to petrex/pytorch
that referenced
this pull request
Jun 5, 2024
…U. (pytorch#127595) The XPU expected failure test case `TritonCodeGenTests.test_codegen_config_option_dont_assume_alignment` should have been expected passed after the PR pytorch#126261 merged, but due to test flaky, this case was skiped when landing the PR. The expected failure but passed error then exposed in periodic test: https://github.com/pytorch/pytorch/actions/runs/9302864965/job/25605549183#step:14:2082. Pull Request resolved: pytorch#127595 Approved by: https://github.com/EikanWang, https://github.com/chuanqi129, https://github.com/peterbell10, https://github.com/atalman
etaf
changed the title
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Stack from ghstack (oldest at bottom):
We find some Inductor test case failues when enabling Inductor UT for Intel GPU, the root cause is new introduced Inductor device-bias code from recent community PRs, which cause differnet beheaviors between Intel GPU and CUDA. This PR generalize these codes to align their beheaviors.
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang