Load pretrain model
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checkpointing
- Dominant language
- Python
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Description
Hi, I use DDP() and the load checkpoint. It seem like that the parameters didn't work. Should i put loading checkout before DDP()? Or need i broadcast model parameters loaded from pretrain-model?
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Research direction
Start by reproducing the reported checkpoint-loading behavior with PyTorch DDP, comparing loading before DDP with loading after wrapping the model. Verify whether parameters are consistent across processes and document the confirmed loading order or required synchronization behavior.
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Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100