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RuntimeError: size mismatch, m1, m2 #5
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Hi, you set the Thanks. |
Oh! Thanks!
Line 65 or so which suggests that you should set Another question about the test image database.
Does it mean that I should put the HR data generated from |
Thank you for indicating the issues, I updated the comments in the For the For the Ntire Challenge task, they provide the validation set, where the clean images are the HR images, and corrupted images are the LR images. You can use this validation set to reproduce the challenge results. Thanks. |
Thanks for responding!!! Read the modified First try, I can upscale Second option, I just set Sorry for bothering you with such questions a newbie will raise LOL. |
Hi, Thank you for your questions. For the existing settings, for Thanks. |
Hi, I have encountered an error when training.
I am trying to train the model using DIV2K dataset,
DIV2K_train_HR
,DIV2K_train_LR_bicubic/X4
.After
python create_dataset.py
, I successfully generated the data. According to theLRHR_dataset.py
, I put data in the right place. When I start to train, it downloaded the pretrained model, and I got an error like this:I understand that
m1 [a * b], m2: [c * d]
whereb=c
. But how does this error occur even if I leave the source code same?Is that the problems of hpyer-parameter?
I am new in deep learning. So really confused why does it happen and wonder how can I fix it?
Thanks in advance.
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