3 models and 2 optimizers
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Description
Thank you for your great work! I am wondering if apex supports training 3 models with two optimizers. Two of my models share one optimizer.
I used
[model1,model2,model3],[optimizer1,optimizer1,optimizer2] = amp.initialize([model1,model2,model3],[optimizer1,optimizer1,optimizer2],opt_level='01',num_loss=2)
However, it seems not correct. May I have any helps? Thank you so much in advance!
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Research direction
Start at the amp.initialize entry point with the reported lists of three models and two shared optimizers, including opt_level='01' and num_loss=2. Determine whether repeated optimizer references are supported; done would be a confirmed behavior or a clearly scoped change with guidance for this configuration.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100