Teng Li

@auroua Is there any hint to implement center parallel strategy mentioned in appendix of arcface paper? I need to classify large-scale data.

Hi @OverEuro can you point out the learning rates for different layers in training ? `optimizer = torch.optim.Adam([{'params': get_ignored_params(model), 'lr': 0}, {'params': get_non_ignored_params(model), 'lr': args.lr}, {'params': get_fc_params(model), 'lr': args.lr *...

optim.adam_state

4

In line 230 of training_reflection_ecnn.lua, optim.adam_state was a nil value as I called it. You mean optim.adam?

Bug on evaluation during training

4

@tianrun-chen In func eval_psnr(),`pred_list = torch.cat(pred_list, 1) gt_list = torch.cat(gt_list, 1)` should be `pred_list = torch.cat(pred_list, 0) gt_list = torch.cat(gt_list, 0)`