o zi7@s<ddlZddlmZddlmZmZmZGdddeZdS)N) Optimizer)OptFloatOptLossClosureParamscs`eZdZdZ      ddededed ed ed ed effd d Zddede fddZ Z S)Apolloa1Implements Apollo Optimizer Algorithm. It has been proposed in `Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization`__. Arguments: params: iterable of parameters to optimize or dicts defining parameter groups lr: learning rate (default: 1e-2) beta: coefficient used for computing running averages of gradient (default: 0.9) eps: term added to the denominator to improve numerical stability (default: 1e-4) warmup: number of warmup steps (default: 0) init_lr: initial learning rate for warmup (default: 0.01) weight_decay: weight decay (L2 penalty) (default: 0) Example: >>> import torch_optimizer as optim >>> optimizer = optim.Apollo(model.parameters(), lr=0.01) >>> optimizer.zero_grad() >>> loss_fn(model(input), target).backward() >>> optimizer.step() __ https://arxiv.org/abs/2009.13586 Note: Reference code: https://github.com/XuezheMax/apollo {Gz??-C6?rparamslrbetaepswarmupinit_lr weight_decayc s|dkr td||dkrtd|d|kr dks(ntd|d|ks3td|d|ks>td|d|krHdksPntd|t|||||||d }tt|||dS) NgzInvalid learning rate: {}zInvalid epsilon value: {}g?zInvalid beta parameter: {}zInvalid weight_decay value: {}zInvalid warmup updates: {}z!Invalid initial learning rate: {})r r rrrbase_lrr) ValueErrorformatdictsuperr__init__) selfr r r rrrrdefaults __class__J/home/ubuntu/.local/lib/python3.10/site-packages/torch_optimizer/apollo.pyr&s4  zApollo.__init__NclosurereturncCsd}|dur |}|jD]}|dD]}|jdurq|j|}t|dkrGd|d<tj|tjd|d<tj|tjd|d<tj|tjd|d<|d|d krd|d |d |d|d |d }n|d }|jj}|jrst d |ddkr|j ||dd}|d}|d} |d} |d} |dd7<d||d} d|| } || }| j || d| j dd |d}| || | }| || | | |}| ||| jdd}| | ||jj | | dqq |S)zPerforms a single optimization step. Arguments: closure: A closure that reevaluates the model and returns the loss. Nr rstep) memory_format exp_avg_gradapprox_hessianupdaterrrr z'Atom does not support sparse gradients.r)alphar r)pr)min) param_groupsgradstatelentorch zeros_likepreserve_formatdata is_sparse RuntimeErroraddadd_normdiv_mulmul_sumaddcmul_absclamp_copy_div)rrlossgroupr'r+curr_lrr*r r"Bd_pbias_correctionr% delta_graddenomv_sqdeltarrrr Lsr              Gz Apollo.step)rr r rrr)N) __name__ __module__ __qualname____doc__rfloatintrrrr __classcell__rrrrrs0!&r)r-torch.optim.optimizerrtypesrrrrrrrrs