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Problems with model training

Thanks a lot for your contributions. We are very interested in your work, but after retraining the model (with everything adjusted to match the parameters in the paper), we found the new model output unacceptable and appeared to be outputting the wavelet components. It is worth mentioning that we did not find any problem in the output using the provided pre-trained model. This made us confused. So we replaced another dataset and this still happened. We are sure that it is not a problem with the input and output of the model. Now we are at a loss, can you help us?
Our training environment is torch1.7 cuda10.1 on tesla v100

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