o
    ei-                     @   s^   U d dl Z d dlm  mZ d dl mZ d dlmZ g Ze	e
 ed< e jjG dd dZdS )    N)Tensor)2_scripted_functional_optimizer_deprecation_warning__all__c                   @   sl   e Zd Z									ddee deded	ed
edededededefddZdeedB  fddZdS )_FunctionalRMSprop{Gz?Gz?:0yE>        Fparamslralphaepsweight_decaymomentumcenteredforeachmaximize_allow_empty_param_listc                 C   sx   t dd |||||d| _|| _|| _|	| _t|dkr#|
s#tdd|i| _tj	
ttjtttjf f i | _d S )N   )
stacklevel)r   r   r   r   r   r   z%optimizer got an empty parameter listr
   )r   defaultsr   r   r   len
ValueErrorparam_grouptorchjitannotatedictr   strstate)selfr
   r   r   r   r   r   r   r   r   r    r!   t/var/www/addictedbytheproject.nl/epg/venv/lib/python3.10/site-packages/torch/distributed/optim/functional_rmsprop.py__init__   s   

(z_FunctionalRMSprop.__init__	gradientsNc                 C   s  | j d }g }g }g }g }g }g }| jd }	| jd }
| jd }| jd }| jd }t|t|krEtddt| d	 d
t|  d}t||D ]|\}}|d ur|t|O }|| || || jvri | j|< | j| }t	d|d< tj
|tjd|d< |dkrtj
|tjd|d< | jrtj
|tjd|d< | j| }||d  |dkr||d  | jr||d  ||d  qLt   tj|||||||	|
|||| j| j| j|d W d    d S 1 sw   Y  d S )Nr
   r   r   r   r   r   zEthe gradients passed in does not equal to the size of the parameters!zParams length: z. zGradients length: Fr	   step)memory_format
square_avgr   momentum_buffergrad_avg)	r   r   r   r   r   r   r   r   has_complex)r   r   r   r   zipr   
is_complexappendr   tensor
zeros_likepreserve_formatr   no_gradFrmspropr   r   )r    r$   r
   params_with_gradgradssquare_avgs	grad_avgsmomentum_buffer_liststate_stepsr   r   r   r   r   r*   paramgradientr   r!   r!   r"   r%   ;   s   















"z_FunctionalRMSprop.step)	r   r   r   r	   r	   FFFF)	__name__
__module____qualname__listr   floatboolr#   r%   r!   r!   r!   r"   r      s@    	

"r   )r   torch.optim._functionaloptim_functionalr2   r   ,torch.distributed.optim._deprecation_warningr   r   r?   r   __annotations__r   scriptr   r!   r!   r!   r"   <module>   s   
