Question about the optimizer

[cvbird]

Hi, thanks for your excellent work.

I am puzzled about the settings of optimizers as follows: `def set_optimizers(self): self.optimizer_encoder = torch.optim.Adam(self.encoder.parameters(), lr=self.args.lr) self.optimizer_image = torch.optim.Adam(self.coarse_decoder.parameters(), lr=self.args.lr)

    if self.refinement is not None:
        self.optimizer_refine = torch.optim.Adam(self.refinement.parameters(), lr=self.args.lr)
    
    if self.shared != 0:
        self.optimizer_shared = torch.optim.Adam(self.shared_decoder.parameters(), lr=self.args.lr)`

As can be seen, different optimizers are set to different components. However, the learning rates are the same. I wonder is there any difference to set only one optimizer to the parameters of SLBR model.

Thank you very much and looking forward your replies.

[jimleungjing]

In this case, you can set only one optimizer for SLBR model since learning rates are same.