55c392ff7ctorchao has no working Windows ROCm build. transformers.quantizers imports it, and it loads torch's c10d distributed backend at module level, which the AMD Windows wheels omit (no RCCL). The import aborts, transformers can no longer expose PreTrainedModel, and the sentence-transformers embedder silently falls back to the llama-server GGUF embedder. Linux ROCm and NVIDIA are unaffected (the c10d ops are present / torchao is real there). The training and export workers already install the shared torchao stub before importing transformers, but the RAG embedder runs in the main backend process, which never did. Two fixes, both no-ops off Windows ROCm: - embeddings.py: install_torchao_windows_rocm_stub() before the first sentence-transformers import, so an already-installed torchao is neutralized (fixes existing venvs). - install_python_stack.py: stop installing torchao on Windows ROCm; it can only crash on import there, so new venvs never ship it. Add tests covering the embedder stub call and the install skip. |
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| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_node_prebuilt.py | ||
| install_python_stack.py | ||
| LICENSE.AGPL-3.0 | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||