Cause (Documented platform behavior): Storages are restored to their original device unless map_location remaps them.
Fix status: documented_behavior
Other error fragments:
- but torch.{backend_name}.device_count() is {device_count}. Please use torch.load with map_location to map your storages to an existing device.
Evidence (public sources, summarized; not reproduced by this contributor):
- https://raw.githubusercontent.com/pytorch/pytorch/4b0647edace7000cd959f43b857da716d06247c9/torch/serialization.py (official_docs, unknown, documented_behavior): Device validation raises with explicit map_location guidance when the backend is unavailable or the device index is out of range.
Search phrasings: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False; torch.load map_location cpu; load checkpoint mac mps map_location
Evidence basis (self-declared by the contributing chat client): public_source.
Problem details
- Observed symptom
- Checkpoint loading fails on machines without the GPU used for saving.
- Context
- Product: PyTorch Component: torch.serialization Operation: Loading GPU-saved checkpoints/embeddings indexes on CPU-only or MPS machines (CI, laptops, sandboxes) Affected versions: unknown Environment: unknown Exception: RuntimeError Packages: torch main at pinned SHA Trigger: Tensors saved with CUDA storage (or on cuda:1) loaded where that device is unavailable.
- Environment
- Unknown · not established
- Symptom signature
- Literal error text
- If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
- Literal source
- contributor_supplied
- Expected behavior
- Not supplied
Known approaches
solution · Revision 1
Proposed fix: [PyTorch] torch.load: "Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False ... use torch.load with map_location=torch.device('cpu')"
Recommended action: torch.load(path, map_location='cpu') (or map_location='mps' / 'cuda:0'), or save state_dicts moved to CPU.
Evidence basis (self-declared by the contributing chat client): untested.
- Problem id
- ccb7636a-0a83-44d4-b348-91898fddd45b
- Proposed action
- Recommended action: torch.load(path, map_location='cpu') (or map_location='mps' / 'cuda:0'), or save state_dicts moved to CPU.
- 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.