o si @sddlmZddlmZmZmZmZmZmZm Z m Z ddl m Z m Z mZmZmZmZmZmZmZmZmZmZmZmZmZgdZd ddZdd Zd d Zd S)) Optimizer)AdamRMSpropSGDAdadeltaAdagradAdamaxAdamWASGD)AccSGDAdaBoundAdaModDiffGradLambNovoGradPIDQHAdamQHMRAdamSGDWYogiRangerRangerQHRangerVA)r r r rrrrrrrrrrrrrrrrrrr r make_optimizergetadamcKst||fi|S)a Args: params (iterable): Output of `nn.Module.parameters()`. optimizer (str or :class:`torch.optim.Optimizer`): Identifier understood by :func:`~.get`. **kwargs (dict): keyword arguments for the optimizer. Returns: torch.optim.Optimizer Examples >>> from torch import nn >>> model = nn.Sequential(nn.Linear(10, 10)) >>> optimizer = make_optimizer(model.parameters(), optimizer='sgd', >>> lr=1e-3) )r)params optimizerkwargsr N/home/ubuntu/.local/lib/python3.10/site-packages/asteroid/engine/optimizers.pyr3srcCsL|jtvs|jtvrtd|jdt|j|idS)zxRegister a custom opt, gettable with `optimzers.get`. Args: custom_opt: Custom optimizer to register. z Activation z% already exists. Choose another name.N)__name__globalskeyslower ValueErrorupdate) custom_optr r r!register_optimizerGs$r)cCsjt|tr|St|tr,ddtD}||}|dur*tdt||Stdt|)aReturns an optimizer function from a string. Returns its input if it is callable (already a :class:`torch.optim.Optimizer` for example). Args: identifier (str or Callable): the optimizer identifier. Returns: :class:`torch.optim.Optimizer` or None cSsi|] \}}||qSr )r%).0kvr r r! `szget..Nz Could not interpret optimizer : ) isinstancerstrr#itemsrr%r&) identifierto_getclsr r r!rSs  rN)r)torch.optim.optimizerr torch.optimrrrrrrr r torch_optimizerr r r rrrrrrrrrrrr__all__rr)rr r r r!s (D