a hL@sjUddlmZddlZddlmmZddlmZddlm Z gZ e e e d<ejjGdddZdS))OptionalN)Tensor)2_scripted_functional_optimizer_deprecation_warning__all__c @sHeZdZd eeeeeeeeeeed ddZeeed d d Z d S)_FunctionalRMSprop{Gz?Gz?:0yE>F) paramslralphaeps weight_decaymomentumcenteredforeachmaximize_allow_empty_param_listc Csxtdd|||||d|_||_||_| |_t|dkrF| sFtdd|i|_tj t tj t t tj ffi|_dS)N) stacklevel)r r rrrrz%optimizer got an empty parameter listr )rdefaultsrrrlen ValueError param_grouptorchjitZannotatedictrstrstate) selfr r r rrrrrrrr!X/var/www/auris/lib/python3.9/site-packages/torch/distributed/optim/functional_rmsprop.py__init__s  z_FunctionalRMSprop.__init__) gradientscCs|jd}g}g}g}g}g}g}|jd} |jd} |jd} |jd} |jd} t|t|krtddt|d d t|d }t||D]\}}|dur|t|O}||||||jvrHi|j|<|j|}t d |d <tj |tj d|d<| dkr,tj |tj d|d<|j rHtj |tj d|d<|j|}||d| dkrx||d|j r||d||d qt >tj||||||| | | | | |j |j|j|dWdn1s0YdS)Nr r r rrrzEthe gradients passed in does not equal to the size of the parameters!zParams length: z. zGradients length: Fr step)Z memory_formatZ square_avgrZmomentum_bufferZgrad_avg) r r rrrrrr has_complex)rrrrziprZ is_complexappendrZtensorZ zeros_likeZpreserve_formatrZno_gradFZrmsproprr)r r$r Zparams_with_gradZgradsZ square_avgsZ grad_avgsZmomentum_buffer_listZ state_stepsr r rrrr&paramZgradientrr!r!r"r%<s                   z_FunctionalRMSprop.stepN) rrr r r FFFF) __name__ __module__ __qualname__listrfloatboolr#rr%r!r!r!r"rs, "r)typingrrZtorch.optim._functionalZoptimZ _functionalr)rZ,torch.distributed.optim._deprecation_warningrrr.r__annotations__rscriptrr!r!r!r"s