a h+@sjUddlmZddlZddlmmZddlmZddlm Z gZ e e e d<ejjGdddZdS))OptionalN)Tensor)2_scripted_functional_optimizer_deprecation_warning__all__c @sLeZdZd eeeeeefeeeeedddZee ed d d Z d S)_FunctionalAdamaxMbP?g?g+?:0yE>F)paramslrbetaseps weight_decayforeachmaximize_allow_empty_param_listc Cstddd|ks td|d|ks6td|d|dkrNdksbntd|dd|d krzdksntd |d d|kstd ||||d|d |d |_||_||_tjttj tt tj ffi|_ t |dkr |s td d|i|_ dS)N) stacklevelr zInvalid learning rate: zInvalid epsilon value: rg?z#Invalid beta parameter at index 0: z#Invalid beta parameter at index 1: zInvalid weight_decay value: )r rbeta1beta2rz%optimizer got an empty parameter listr )r ValueErrordefaultsrrtorchjitZannotatedictrstrstatelen param_group) selfr r r rrrrrr"W/var/www/auris/lib/python3.9/site-packages/torch/distributed/optim/functional_adamax.py__init__s. $z_FunctionalAdamax.__init__) gradientsc Cs|jd}g}g}g}g}g}t|t|krTtddt|ddt|d}t|jd|D]\} } | durh|t| O}|| || | |jvri|j| <|j| } td| d<tj | tj d | d <tj | tj d | d <|j| } || d || d || dqht Vt j ||||||jd |jd |jd|jd|jd|j|j|d Wdn1s0YdS)Nr zEthe gradients passed in does not equal to the size of the parameters!zParams length: z. zGradients length: Fr step)Z memory_formatZexp_avgZexp_infrrrr r)rrrr rrr has_complex)r rrziprZ is_complexappendrZtensorZ zeros_likeZpreserve_formatZno_gradFZadamaxrrr) r!r%r Zparams_with_gradZgradsZexp_avgsZexp_infsZ state_stepsr'paramZgradientrr"r"r#r&Csd           z_FunctionalAdamax.stepN)rrr r FFF) __name__ __module__ __qualname__listrfloattupleboolr$rr&r"r"r"r#rs$  )r)typingrrZtorch.optim._functionalZoptimZ _functionalr*rZ,torch.distributed.optim._deprecation_warningrrr/r__annotations__rscriptrr"r"r"r#s