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[CD] [aarch64] Add CUDA 12.6 and 12.8 to build matrix, remove 12.9 build #162364
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/162364
Note: Links to docs will display an error until the docs builds have been completed. ❌ 8 New Failures, 1 Unrelated FailureAs of commit fb0379c with merge base c9ac8c2 ( NEW FAILURES - The following jobs have failed:
BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Thank you.
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@pytorchbot merge -i |
Merge startedYour change will be merged while ignoring the following 8 checks: linux-s390x-binary-manywheel / manywheel-py3_11-cpu-s390x-build / build, linux-s390x-binary-manywheel / manywheel-py3_10-cpu-s390x-build / build, linux-s390x-binary-manywheel / manywheel-py3_13-cpu-s390x-build / build, linux-s390x-binary-manywheel / manywheel-py3_14t-cpu-s390x-build / build, linux-s390x-binary-manywheel / manywheel-py3_13t-cpu-s390x-build / build, linux-s390x-binary-manywheel / manywheel-py3_14-cpu-s390x-build / build, linux-s390x-binary-manywheel / manywheel-py3_12-cpu-s390x-build / build, linux-binary-manywheel / manywheel-py3_14-rocm6_4-test Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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Should remove sm50-70 for sbsa, since the sbsa support only started from sm80 (Ampere). |
PyTorch has published its aarch64 nightly wheels for all CUDA version after #162364 Pull Request resolved: #162664 Approved by: https://github.com/atalman
Signed-off-by: Huy Do <huydhn@gmail.com>
…ild (pytorch#162364) pytorch#159779 Add the full CUDA support matrix to sbsa build (12.6, 12.8) Same arch support as x86 build Remove 12.9 sbsa build Pull Request resolved: pytorch#162364 Approved by: https://github.com/atalman
PyTorch has published its aarch64 nightly wheels for all CUDA version after pytorch#162364 Pull Request resolved: pytorch#162664 Approved by: https://github.com/atalman
…ild (pytorch#162364) pytorch#159779 Add the full CUDA support matrix to sbsa build (12.6, 12.8) Same arch support as x86 build Remove 12.9 sbsa build Pull Request resolved: pytorch#162364 Approved by: https://github.com/atalman
PyTorch has published its aarch64 nightly wheels for all CUDA version after pytorch#162364 Pull Request resolved: pytorch#162664 Approved by: https://github.com/atalman
…ild (pytorch#162364) pytorch#159779 Add the full CUDA support matrix to sbsa build (12.6, 12.8) Same arch support as x86 build Remove 12.9 sbsa build Pull Request resolved: pytorch#162364 Approved by: https://github.com/atalman
PyTorch has published its aarch64 nightly wheels for all CUDA version after pytorch#162364 Pull Request resolved: pytorch#162664 Approved by: https://github.com/atalman
…ild (pytorch#162364) pytorch#159779 Add the full CUDA support matrix to sbsa build (12.6, 12.8) Same arch support as x86 build Remove 12.9 sbsa build Pull Request resolved: pytorch#162364 Approved by: https://github.com/atalman
PyTorch has published its aarch64 nightly wheels for all CUDA version after pytorch#162364 Pull Request resolved: pytorch#162664 Approved by: https://github.com/atalman
Since we have introduced CUDA aarch64 builds for all cuda versions we need to remove this constraint. This was missed by #162364 Proper constraint on triton should be: ``` Requires-Dist: triton==3.5.0; platform_system == "Linux" ``` not: ``` Requires-Dist: triton==3.5.0; platform_system == "Linux" and platform_machine == "x86_64" ``` Pull Request resolved: #165013 Approved by: https://github.com/Camyll, https://github.com/nWEIdia, https://github.com/tinglvv
Since we have introduced CUDA aarch64 builds for all cuda versions we need to remove this constraint. This was missed by #162364 Proper const 8000 raint on triton should be: ``` Requires-Dist: triton==3.5.0; platform_system == "Linux" ``` not: ``` Requires-Dist: triton==3.5.0; platform_system == "Linux" and platform_machine == "x86_64" ``` Pull Request resolved: #165013 Approved by: https://github.com/Camyll, https://github.com/nWEIdia, https://github.com/tinglvv (cherry picked from commit 81dbeb0)
CUDA aarch64 12.6 and 12.8 builds fix triton constraints (#165013) Since we have introduced CUDA aarch64 builds for all cuda versions we need to remove this constraint. This was missed by #162364 Proper constraint on triton should be: ``` Requires-Dist: triton==3.5.0; platform_system == "Linux" ``` not: ``` Requires-Dist: triton==3.5.0; platform_system == "Linux" and platform_machine == "x86_64" ``` Pull Request resolved: #165013 Approved by: https://github.com/Camyll, https://github.com/nWEIdia, https://github.com/tinglvv (cherry picked from commit 81dbeb0) Co-authored-by: atalman <atalman@fb.com>
Signed-off-by: Huy Do <huydhn@gmail.com>
) Since we have introduced CUDA aarch64 builds for all cuda versions we need to remove this constraint. This was missed by pytorch#162364 Proper constraint on triton should be: ``` Requires-Dist: triton==3.5.0; platform_system == "Linux" ``` not: ``` Requires-Dist: triton==3.5.0; platform_system == "Linux" and platform_machine == "x86_64" ``` Pull Request resolved: pytorch#165013 Approved by: https://github.com/Camyll, https://github.com/nWEIdia, https://github.com/tinglvv
#159779
Add the full CUDA support matrix to sbsa build (12.6, 12.8)
Same arch support as x86 build
Remove 12.9 sbsa build
cc @ptrblck @nWEIdia @atalman @malfet