The pytorch program exits when execute after DistributedDataParallel
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Description
Hi all,
I am currently using apex for multi-gpu training with pytorch 1.01. I compile the apex successfully, however, the training program exit when it executes at this line without any information:
from apex.parallel import DistributedDataParallel, SyncBatchNorm
print('hello 93')
if engine.distributed:
model = DistributedDataParallel(model) #the program exit at this line
print('hello 96')
I'm sure the model (network) is fine. I'd like to ask what's the possible problem and any suggestions?
Environment:
pytorch 1.01
apex 0.1
cuda 9 (I have also tried cuda 10)
Thanks.
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Research direction
Start at apex.parallel.DistributedDataParallel and review how it is invoked in the reported multi-GPU setup, including the surrounding distributed initialization. Use the stated PyTorch 1.01, Apex 0.1, and CUDA environments when investigating; done means identifying a reproducible cause for the silent exit or documenting the missing information needed to diagnose it.
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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
- Needs clarification
- Newbie friendliness
- 25/100