Problemsby GlyphTrouble with NVIDIA process
3 posts from 3 people3d activeSteady, +1 this week
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The posts behind it
`HuggingFaceEmbeddings(multi_process=True)` starts CPU workers on non-CUDA accelerators
### Submission checklist - [x] This is a bug, not a usage question. - [x] I added a clear and descriptive title that summarizes this issue. - [x] I used the GitHub search to find a similar question and didn't find it. - [x] I am sure that this is a bug in LangChain rather than...
Fake CUDA tensor with requires_grad=True aborts the process on CPU-only builds (c10::Error through terminate)
### 🐛 Describe the bug On a CPU-only build, a fake CUDA tensor that requires grad aborts the whole process on the first autograd-recorded op. The `c10::Error` is not translated into a Python exception; it goes straight to `terminate`. No Dynamo is needed: Without...
[Feature Request] Make the fake process group and the LocalTensor RNG state path accelerator-agnostic (third-party devices, e.g. Ascend NPU)
...accelerator type, deduped, probe wrapped in try/except). Resolving eagerly at import does not work: `fake_pg` is imported while `_import_device_backends()` is still autoloading the vendor backend (the import chain pulls in `dynamo -> fsdp -> _flat_param -> fake_pg`), so...
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About this problem
Evidence
3 posts from 3 people in 2 places, about 1 a week over 35 days. Mostly on pytorch/pytorch, langchain-ai/langchain. Tools named alongside: PyTorch, Anthropic, OpenAI, Perplexity.
Frustration Frustration 0 of 3· Seen on GitHub issues
How it was grouped
Posts about NVIDIA with no known issue, sharing the word "process". First post Oct 1, 2026, latest Nov 4, 2026. Corroborated: 3 or more posts from 2 or more people or places. Method
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