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onpix avatar onpix commented on July 24, 2024

Please try reducing the batch size or image resolution, or add the code to empty the cache periodically.

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thisisqiaoqiao avatar thisisqiaoqiao commented on July 24, 2024

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?
image

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onpix avatar onpix commented on July 24, 2024

Looks like an env error rather than OOM, as it was raised upon import. Please make sure your env has no problem.

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thisisqiaoqiao avatar thisisqiaoqiao commented on July 24, 2024

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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thisisqiaoqiao avatar thisisqiaoqiao commented on July 24, 2024

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.
image

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onpix avatar onpix commented on July 24, 2024

This is okay, it will not affect training.

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