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ALLinLLM avatar ALLinLLM commented on May 23, 2024

I was running train.py and using pretrained ESRGAN model,all parameters is same as the master branch. All things work well until this error. I search this problem on google and they said this is because different padding strategy in main road and the secondary road of Resnet. But I have no idea where the 1912 and 112 come from, anyone can help?

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sandeepjangir07 avatar sandeepjangir07 commented on May 23, 2024

which scale where you training ?

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ALLinLLM avatar ALLinLLM commented on May 23, 2024

which scale where you training ?

x4 DIV2K with lmdb format

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ALLinLLM avatar ALLinLLM commented on May 23, 2024

find reason, in train.yml, I just used wrong LR and GT path, after swap the path, it works well

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