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Most of E2E models failed with torch._inductor.exc.InductorError: RuntimeError: Triton Error [ZE]: 0x78000011 on BMG windows. #1385

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libohao1201 opened this issue Feb 20, 2025 · 2 comments
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client dependency component: Triton E2E hw: BMG module: dependency bug Problem is not caused by us, but caused by the library we use
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@libohao1201
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🐛 Describe the bug

python benchmarks\dynamo\huggingface.py --accuracy -d xpu -n10 --backend=inductor --cold-start-latency --inference --float32                   --output=C:\logs\inductor-huggingface-accuracy-inference-float32.csv  

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Machine BMG - Win11
stock pytorch PyTorch branch: https://github.com/etaf/pytorch-inductor-xpu/tree/xpu_inductor_windows (branch: xpu_inductor_windows)
triton Commit: intel/intel-xpu-backend-for-triton@4d7fc60
Driver internal driver: 32.0.101.6559
Conda python 3.10
@Stonepia Stonepia self-assigned this Feb 20, 2025
@Stonepia Stonepia added bug Something isn't working client dependency depend on external components labels Feb 20, 2025
@Stonepia
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Link for reproducer:
intel/intel-xpu-backend-for-triton#3481

@Stonepia Stonepia added this to the PT2.7 milestone Feb 21, 2025
@daisyden daisyden added E2E and removed bug Something isn't working client dependency depend on external components hw: BMG labels Feb 24, 2025
@Stonepia
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It should be a bug of the driver. Triton team is working on that. We will return to this issue once driver update.

@Stonepia Stonepia added module: dependency bug Problem is not caused by us, but caused by the library we use dependency component: Triton client labels Feb 27, 2025
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