Casting works in O1 but not O2
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- Dominant language
- Python
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Description
I have a model that trains in mode O1, but gives RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.cuda.HalfTensor) should be the same in a convolution layer in mode O2. Any idea what might cause this?
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Research direction
No source file or test is named. Start by reproducing the model in O1 and O2, then inspect the convolution layer where the torch.cuda.FloatTensor and torch.cuda.HalfTensor types diverge. Done means the cause is identified and O2 no longer raises the reported type-mismatch error.
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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