o zi@s@ddlZddlmZddlmZmZmZdZGdddeZdS)N) Optimizer)OptFloatOptLossClosureParams)QHMcsdeZdZdZdZ     ddededed ed ed ed d ffdd Zdde d e fddZ Z S)rgraddirectMbP?ffffff?paramslrmomentumnu weight_decayweight_decay_typereturnNc s|dkr td||dkrtd||dkr!td|||j|jfvr4|}d|}t||||||d} tt||| dS)Nr zInvalid learning rate: {}zInvalid momentum value: {}zInvalid weight_decay value: {}z#Invalid weight_decay_type value: {})rrrrr) ValueErrorformatGRADDIRECTsuperr__init__) selfr rrrrr_typemsgdefaults __class__G/home/ubuntu/.local/lib/python3.10/site-packages/torch_optimizer/qhm.pyr/s&  z QHM.__init__closurec Cs d}|dur |}|jD]}|d|d|d}}}|d|d}}|dD]c} | jdur1q)| jj} |j| } |dkrV||jkrL| j| j|d n | jd ||t| dkrdt | j| d <| d } | |j| d |d | jj| | |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)alphag?momentum_buffer) param_groupsrdatastateradd_mul_lentorch zeros_like) rr"lossgrouprrrrrpd_p param_stater$r r r!stepNs2      zQHM.step)r r r r r)N) __name__ __module__ __qualname__rrrfloatstrrrrr2 __classcell__r r rr!r s2$r) r+torch.optim.optimizerrtypesrrr__all__rr r r r!s