deepcopy DistributedDataParallel loss actual model
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- Python
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Description
model = nn.Linear(10, 2).cuda()
torch_wrapper = torch.data.parallel.DistributedDataParallel(model)
apex_wrapper = apex.parallel.DistributedDataParallel(model)
lhs = copy.deepcopy(torch_wrapper).module # ok
rhs = copy.deepcopy(apex_wrapper).module # failed, AttributeError: 'DistributedDataParallel' object has no attribute 'module'
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Research direction
Start by running the Python reproduction with torch and apex DistributedDataParallel wrappers and compare the deepcopy results. Trace how the apex wrapper exposes the wrapped model after copying, then add regression coverage showing that the copied wrapper provides the expected underlying model access.
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Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100