Skip to content
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

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

Open
libohao1201 opened this issue Feb 20, 2025 · 1 comment
Assignees
Labels
Milestone

Comments

@libohao1201
Copy link

🐛 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  

Versions

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
Copy link
Contributor

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
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

No branches or pull requests

3 participants