zhanghang1989 / zhanghang1989/PyTorch-Encoding
CUDA out of memory when training using resneSt200
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- Python
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Description
Hi, thanks for your work.
I use 8GPUs with each 12G memory to train the deeplab using resneSt200 on ADE20K with base-size=512/crop-size=480, however it raises "CUDA out of memory", how do you make it work?
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Research direction
No source file, test, or entry point is named in the issue. Start by reproducing Deeplab training with resneSt200 on ADE20K using 8 12-GB GPUs and base-size=512/crop-size=480; done means identifying a configuration or code change that avoids the CUDA out-of-memory failure and documenting how to run it.
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Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100