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[aarch64] add CUDA 12.6 sbsa nightly binary by tinglvv · Pull Request #142335 · pytorch/pytorch · GitHub
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@tinglvv tinglvv commented Dec 8, 2024

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pytorch-bot bot commented Dec 8, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/142335

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

❌ 5 New Failures, 2 Unrelated Failures

As of commit 74bf9e5 with merge base 2c6d094 (image):

NEW FAILURES - The following jobs have failed:

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

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@tinglvv tinglvv added the ciflow/binaries Trigger all binary build and upload jobs on the PR label Dec 8, 2024
@pytorch-bot pytorch-bot bot added the release notes: releng release notes category label Dec 8, 2024
@tinglvv tinglvv marked this pull request as ready for review December 9, 2024 17:32
@tinglvv tinglvv requested a review from a team as a code owner December 9, 2024 17:32
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lgtm

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tinglvv commented Dec 9, 2024

Build passed with CUDA 12.6 used for arm wheel
2024-12-09T17:34:45.3762633Z -- PyTorch: CUDA detected: 12.6 2024-12-09T17:34:45.3762941Z -- PyTorch: CUDA nvcc is: /usr/local/cuda/bin/nvcc 2024-12-09T17:34:45.3763293Z -- PyTorch: CUDA toolkit directory: /usr/local/cuda 2024-12-09T17:34:45.6276519Z -- PyTorch: Header version is: 12.6

s390x failures are irrelevant.

@pytorch pytorch deleted a comment from pytorch-bot bot Dec 9, 2024
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tinglvv commented Dec 9, 2024

@pytorchbot merge -i

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Dec 9, 2024
@tinglvv tinglvv changed the title [aarch64] Update CUDA 12.6 SBSA build script [aarch64] add CUDA 12.6 sbsa nightly binary Dec 9, 2024
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The merge job was canceled or timed out. This most often happen if two merge requests were issued for the same PR, or if merge job was waiting for more than 6 hours for tests to finish. In later case, please do not hesitate to reissue the merge command
For more information see pytorch-bot wiki.

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tinglvv commented Dec 10, 2024

@pytorchbot merge -i

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tinglvv commented Dec 10, 2024

Tested the artifact (3.10 on ubuntu:22.04) with stable diffusion test, result

Loading pipeline components...: 100%|████████████████████████████████████████████████████| 6/6 [00:00<00:00, 11.30it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 30.41it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 30.60it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 36.44it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 36.38it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 36.68it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 36.42it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 36.76it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 36.59it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 36.24it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 36.48it/s]
Time taken:  15.213680028915405

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