-
Notifications
You must be signed in to change notification settings - Fork 24.7k
[CUDA][avgpool2d] Fix backward launch bounds again for sm100
, sm120
#150640
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/150640
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit 2ede186 with merge base 51da241 ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
LGTM
@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 |
Merge failedReason: 1 mandatory check(s) failed. The first few are: Dig deeper by viewing the failures on hud |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
lgtm
@pytorchmergebot merge -f "failure already existing, lint is green" |
Merge startedYour change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Please use Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
@pytorchbot cherry-pick --onto release/2.7 -c critical |
…0` (#150640) `__CUDA_ARCH__` is not visible in host code, which causes incorrect launch bounds and `too many resources requested for launch` on blackwell CC @atalman @malfet as we would want this in 2.7 @nWEIdia Pull Request resolved: #150640 Approved by: https://github.com/malfet, https://github.com/drisspg, https://github.com/atalman (cherry picked from commit 09c4da9)
Cherry picking #150640The cherry pick PR is at #150676 and it is recommended to link a critical cherry pick PR with an issue. The following tracker issues are updated: Details for Dev Infra teamRaised by workflow job |
…0` (#150676) [CUDA][avgpool2d] Fix backward launch bounds again for `sm100`, `sm120` (#150640) `__CUDA_ARCH__` is not visible in host code, which causes incorrect launch bounds and `too many resources requested for launch` on blackwell Pull Request resolved: #150640 Approved by: https://github.com/malfet, https://github.com/drisspg, https://github.com/atalman (cherry picked from commit 09c4da9) Co-authored-by: Eddie Yan <eddiey@nvidia.com>
…0` (pytorch#150640) `__CUDA_ARCH__` is not visible in host code, which causes incorrect launch bounds and `too many resources requested for launch` on blackwell CC @atalman @malfet as we would want this in 2.7 @nWEIdia Pull Request resolved: pytorch#150640 Approved by: https://github.com/malfet, https://github.com/drisspg, https://github.com/atalman
…0` (pytorch#150640) `__CUDA_ARCH__` is not visible in host code, which causes incorrect launch bounds and `too many resources requested for launch` on blackwell CC @atalman @malfet as we would want this in 2.7 @nWEIdia Pull Request resolved: pytorch#150640 Approved by: https://github.com/malfet, https://github.com/drisspg, https://github.com/atalman
__CUDA_ARCH__
is not visible in host code, which causes incorrect launch bounds andtoo many resources requested for launch
on blackwellCC @atalman @malfet as we would want this in 2.7 @nWEIdia
cc @ptrblck @msaroufim