o zi.@s<ddlZddlmZddlmZmZmZGdddeZdS)N) Optimizer)OptFloatOptLossClosureParamscsdeZdZdZ      ddeded ed ed ed ed eddffdd ZddedefddZ Z S)PIDaImplements PID optimization algorithm. It has been proposed in `A PID Controller Approach for Stochastic Optimization of Deep Networks`__. Arguments: params: iterable of parameters to optimize or dicts defining parameter groups lr: learning rate (default: 1e-3) momentum: momentum factor (default: 0.0) weight_decay: weight decay (L2 penalty) (default: 0.0) dampening: dampening for momentum (default: 0.0) derivative: D part of the PID (default: 10.0) integral: I part of the PID (default: 5.0) Example: >>> import torch_optimizer as optim >>> optimizer = optim.PID(model.parameters(), lr=0.001, momentum=0.1) >>> optimizer.zero_grad() >>> loss_fn(model(input), target).backward() >>> optimizer.step() __ http://www4.comp.polyu.edu.hk/~cslzhang/paper/CVPR18_PID.pdf Note: Reference code: https://github.com/tensorboy/PIDOptimizer MbP?r@$@paramslrmomentum dampening weight_decayintegral derivativereturnNc st||||||d}|dkrtd||dkr td||dkr+td||dkr6td||dkrAtd|tt|||dS)N)r rrrrrr zInvalid learning rate: {}zInvalid momentum value: {}zInvalid weight_decay value: {}zInvalid PID integral value: {}z Invalid PID derivative value: {})dict ValueErrorformatsuperr__init__) selfr r rrrrrdefaults __class__G/home/ubuntu/.local/lib/python3.10/site-packages/torch_optimizer/pid.pyr$s. z PID.__init__closurecCsd}|dur |}|jD]}|d}|d}|d}|d}|d}|dD]} | jdur.q&| jj} |dkr>| j| j|d |dkr|j| } d | vr]t| } | d <| || n| d } | |j| d |d d | vrt| } | d <| } t| }| d <||| | n| d }| d } ||j| | d |d | |j| d <| j| |d j||d } | jj| |d d q&q |S)zPerforms a single optimization step. Arguments: closure: A closure that reevaluates the model and returns the loss. Nrrrrrr r)alphai_bufferr grad_bufferd_bufferr ) param_groupsgraddataadd_statetorch zeros_likemul_clone)rrlossgrouprrrrrpd_p param_statei_bufg_bufd_bufrrrstepGsR       "zPID.step)rr rr r r )N) __name__ __module__ __qualname____doc__rfloatrrrr5 __classcell__rrrrrs4 #r)r)torch.optim.optimizerrtypesrrrrrrrrs