I am developing a model in tensorflow and find that it is good on my specific evaluation method. But when I transfer to pytorch, I can’t achieve the same results. I have checked the model architecture, the weight init method, the lr schedule, the weight decay, momentum and epsilon used in BN layer, the optimizer, and the data preprocessing. All things are the same. But I can’t get the same results as in tensorflow. Anybody have met the same problem?