[ROCm 7.14] Pin PyTorch to 2.11 to avoid high CPU usage

[LckHot]

Hi, thank you for maintaining this repository.

To avoid the issue reported in ROCm issue #6406, could you please consider pinning the PyTorch version for the ROCm 7.14 environment to PyTorch 2.11 instead of 2.12?

According to the report, PyTorch 2.12 may cause abnormally high CPU usage after the first GPU operation, while downgrading to PyTorch 2.11 resolves the issue.

It may also be necessary to pin compatible versions of torchvision and torchaudio.

Thank you for your consideration.

[coderabbitai]

🔗 Related PRs

#11 - Move AMD builds to ROCm 7.14 multi-arch wheels; add amd-multi-arch-index manifest kind [merged]
#18 - Bump all vendor bundles to torch 2.12.x [merged]

---

🧪 Issue enrichment is currently in open beta.

You can configure auto-planning by selecting labels in the issue_enrichment configuration.

To disable automatic issue enrichment, add the following to your .coderabbit.yaml:

issue_enrichment:
  auto_enrich:
    enabled: false

💬 Have feedback or questions? Drop into our discord!