Loading amp model on a machine without cuda
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checkpointing
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- Python
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Description
I train my models on machines with CUDA and GPU. I want to do inference, I want to load them on machines without GPU. Unfortunately, when I do it, there're errors. Pickle isn't able to load apex there. Could you help with how to solve it?
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are named. Start by reproducing model loading and inference on a machine without CUDA, then inspect how the saved Apex model is deserialized; done means the trained model loads and supports CPU inference without the reported errors.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100