wizaaaard

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Hi! training issue!

I met this same problem now. Have you solved this issue? I would appriciate that if you can reply me, thank you!

TypeError: __init__() got an unexpected keyword argument 'in_dim'

> You can change the value of the key: 'type' in options/train/VQFR/train_vqfr_v1_B16_200K.yml line 108, from L2VectorQuantizer to L2VectorQuantizerKmeans. Then it will be ok, I suppose.

When I tried to start training, I got an error：RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [1, 512, 4, 4]] is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

> > Hello, and I apologize for the delay. This was the issue for me; I believe you should also check if dis_loss and gen_loss are not None before using...

A confusion about defense dataset

Could you please clarify whether the testing metrics provided in the paper were tested on the complete test dataset or on the defense_dataset in the current code?

Issues while loading the stage2 model

Hi, I met this same issue, too. May I ask you if you have solved this issue? Glad to get your response!

Issues while loading the stage2 model

> First thank you for releasing all the codes and models! I have been attempting to load the stage2 model provided [here](https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer_stage2.pth). However, It seems that the keys do not...

Issues while loading the stage2 model

> I think the provided codes for loading weights are designed for stage-3 model. And the stage-3 model has different structures from stage-2 model (stage-3 adds some convolutions to balance...