sync_batchnorm (python version) doesn't work in FP16
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Description
RuntimeError: expected type torch.cuda.FloatTensor but got torch.cuda.HalfTensor at line
https://github.com/NVIDIA/apex/blob/03100f466145a0de73b79c32d11d58c917b10393/apex/parallel/sync_batchnorm.py#L108
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- Read the whole issue, then the project's contributing guide.
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- Open a pull request that references the issue number.
Research direction
Start by reading apex/parallel/sync_batchnorm.py at line 108 and trace the FP16 path that produces the reported torch.cuda.FloatTensor versus torch.cuda.HalfTensor error. Reproduce the failure with sync_batchnorm in FP16 and compare its behavior with the surrounding distributed-training logic. Done means FP16 execution no longer raises this type error while preserving the existing sync batch normalization 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
- Mostly clear
- Newbie friendliness
- 45/100