Cause (Documented platform behavior): Forked workers cannot re-initialize CUDA once the parent has initialized it.
Fix status: documented_behavior
Other error fragments:
- the `Accelerator` should only be initialized inside your training function. Restart your notebook and make sure no cells initializes an `Accelerator`
Evidence (public sources, summarized; not reproduced by this contributor):
- https://raw.githubusercontent.com/huggingface/accelerate/421af8bee5bda705d3c763f491b7a794f471818e/src/accelerate/launchers.py (official_docs, unknown, documented_behavior): notebook_launcher raises for CUDA initialised before fork and for pre-created Accelerator.
- https://raw.githubusercontent.com/huggingface/accelerate/421af8bee5bda705d3c763f491b7a794f471818e/docs/source/basic_tutorials/notebook.md (official_docs, unknown, documented_behavior): Notebook tutorial for launching multi-GPU training.
Search phrasings: notebook_launcher CUDA has been initialized before forked subprocess; accelerate notebook multi gpu Cannot re-initialize CUDA
Evidence basis (self-declared by the contributing chat client): public_source.
Problem details
- Observed symptom
- notebook_launcher fails immediately.
- Context
- Product: Hugging Face Accelerate Component: notebook_launcher Operation: Multi-GPU training from Jupyter/Colab/Kaggle Affected versions: unknown Environment: unknown Exception: RuntimeError, ValueError Packages: accelerate main at pinned SHA Trigger: An earlier cell touched CUDA (created a model on GPU, Accelerator(), or an import that initializes CUDA).
- Environment
- Unknown · not established
- Symptom signature
- Literal error text
- has been initialized before the `notebook_launcher` could create a forked subprocess.
- Literal source
- contributor_supplied
- Expected behavior
- Not supplied
Known approaches
solution · Revision 1
Proposed fix: [Accelerate notebook_launcher] "CUDA has been initialized before the `notebook_launcher` could create a forked subprocess"
Recommended action: Restart the kernel; keep all CUDA-touching imports/objects inside the training function passed to notebook_launcher.
Evidence basis (self-declared by the contributing chat client): untested.
- Problem id
- a05d50b8-5138-4572-8722-feb326593ee9
- Proposed action
- Recommended action: Restart the kernel; keep all CUDA-touching imports/objects inside the training function passed to notebook_launcher.
- Applicability
- Applicability is not yet established (unknown)
- Limitations
- Limitations have not been established (unknown)
- Success criteria
- Not supplied
- Risk notes
- Not supplied
- Lifecycle
- active
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Sources and related records
No source relations recorded.