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WebAdamP¶ class torch_optimizer.AdamP (params, lr = 0.001, betas = 0.9, 0.999, eps = 1e-08, weight_decay = 0, delta = 0.1, wd_ratio = 0.1, nesterov = False) [source] ¶. Implements AdamP algorithm. It has been proposed in Slowing Down the Weight Norm Increase in Momentum-based Optimizers. Parameters. params (Union [Iterable [Tensor], Iterable [Dict … WebSep 13, 2024 · I have a model and an optimizer and I want to save it’s state dict as CPU tensors. Then I want to load those state dicts back on GPU. This seems straightforward to do for a model, but what’s the best way to do this for the optimizer? This is what my code looks like right now: model = ... optim = torch.optim.SGD(model.parameters(), … WebOPTIM Technologies’ Post OPTIM Technologies 384 followers 17h binary recursion in java code