8000 [CD] [aarch64] Add CUDA 12.6 and 12.8 to build matrix, remove 12.9 build by tinglvv · Pull Request #162364 · pytorch/pytorch · GitHub
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@tinglvv tinglvv commented Sep 8, 2025

#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

@tinglvv tinglvv requested a review from a team as a code owner September 8, 2025 05:41
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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 Failure

As of commit fb0379c with merge base c9ac8c2 (image):

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

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@pytorch-bot pytorch-bot bot added the release notes: releng release notes category label Sep 8, 2025
@tinglvv tinglvv added the ciflow/binaries_wheel Trigger binary build and upload jobs for wheel on the PR label Sep 8, 2025
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Thank you.

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tinglvv commented Sep 8, 2025

@pytorchbot merge -i

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Sep 8, 2025
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tinglvv commented Sep 8, 2025

Should remove sm50-70 for sbsa, since the sbsa support only started from sm80 (Ampere).

pytorchmergebot pushed a commit that referenced this pull request Sep 13, 2025
PyTorch has published its aarch64 nightly wheels for all CUDA version after #162364
Pull Request resolved: #162664
Approved by: https://github.com/atalman
huydhn added a commit to huydhn/pytorch that referenced this pull request Sep 17, 2025
Signed-off-by: Huy Do <huydhn@gmail.com>
markc-614 pushed a commit to markc-614/pytorch that referenced this pull request Sep 17, 2025
…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
< 8000 /div>
markc-614 pushed a commit to markc-614/pytorch that referenced this pull request Sep 17, 2025
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
mansiag05 pushed a commit to mansiag05/pytorch that referenced this pull request Sep 22, 2025
…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
mansiag05 pushed a commit to mansiag05/pytorch that referenced this pull request Sep 22, 2025
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
cleonard530 pushed a commit to cleonard530/pytorch that referenced this pull request Sep 22, 2025
…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
cleonard530 pushed a commit to cleonard530/pytorch that referenced this pull request Sep 22, 2025
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
dsashidh pushed a commit to dsashidh/pytorch that referenced this pull request Sep 26, 2025
…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
dsashidh pushed a commit to dsashidh/pytorch that referenced this pull request Sep 26, 2025
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
pytorchmergebot pushed a commit that referenced this pull request Oct 9, 2025
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
pytorchbot pushed a commit that referenced this pull request Oct 9, 2025
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)
atalman added a commit that referenced this pull request Oct 9, 2025
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>
pytorchmergebot pushed a commit to huydhn/pytorch that referenced this pull request Oct 11, 2025
Signed-off-by: Huy Do <huydhn@gmail.com>
Chao1Han pushed a commit to Chao1Han/pytorch that referenced this pull request Oct 21, 2025
)

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
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