Comments (6)
Please try reducing the batch size or image resolution, or add the code to empty the cache periodically.
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Thank you for your prompt reply. I adjusted the batchsize to 1 and still got the error. Can you give any more tips on changing the resolution?
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Looks like an env error rather than OOM, as it was raised upon import. Please make sure your env has no problem.
from lcdpnet.
I installed torch first: pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
Then proceed to install the libraries in the requirements.txt file. Not sure what's wrong with the environment.
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I seem to have found the cause of the problem, because I am running under windows and can train by changing dataloader_num_worker: 5 in the configuration file to 0. But there are always warnings appearing.
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This is okay, it will not affect training.
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Related Issues (20)
- Excuse me, is there an easy way to use the pretrained model? HOT 3
- Test.py execution problem HOT 2
- May I know what is the average time for validating one image? HOT 1
- 运行test.py时报错使用您提供的预训练模型 HOT 1
- Test.py Error HOT 3
- Dark-Video enhancement HOT 1
- How to draw the input-ground truth luminance mapping curve? HOT 2
- How to cancel the distributed training?
- test problem HOT 4
- test issue
- test HOT 6
- prepare_data HOT 1
- Issues with training and testing on the MSEC dataset HOT 1
- Enhanced images with light sources have artifact HOT 3
- Error when trying to run train.py HOT 1
- test problem HOT 9
- Test-GT HOT 3
- Pink pixels HOT 3
- The weight of the loss function HOT 2
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