U
    *-ew                     @   sj   U d dl mZmZmZmZ d dlZd dlm  mZ	 d dlm
Z
 g Zee ed< ejjG dd dZdS )    )DictListOptionalTupleN)Tensor__all__c                	   @   sR   e Zd Zdee eeeef eeef eeedddZee	e  dd	d
Z
dS )_FunctionalRprop{Gz?g      ?g333333?gư>2   F)paramslretas
step_sizesforeachmaximize_allow_empty_param_listc                 C   sl   d|i| _ || _|| _|| _|| _t|dkr:|s:tdd|i| _tj	
ttjtttjf f i | _d S )Nr   r   z%optimizer got an empty parameter listr   )defaultsr   r   r   r   len
ValueErrorparam_grouptorchjitZannotater   r   strstate)selfr   r   r   r   r   r   r    r   i/var/www/html/Darija-Ai-Train/env/lib/python3.8/site-packages/torch/distributed/optim/functional_rprop.py__init__   s     
z_FunctionalRprop.__init__)	gradientsc                 C   s^  | j d }g }g }g }g }| jd }| j\}}	| j\}
}t|t|krntddt| d dt|  t||D ]\}}|d k	rx|| || || jkri | j|< | j| }t	
d|d< t	j|t	jd	|d
< t	|||d< | j| }||d
  ||d  |d  d7  < qxt	 ( tj|||||
|||	| j| jd
 W 5 Q R X d S )Nr   r   zEthe gradients passed in does not equal to the size of the parameters!zParams length: z. zGradients length: g        step)Zmemory_formatprevZ	step_size   )step_size_minstep_size_maxetaminusetaplusr   r   )r   r   r   r   r   r   zipappendr   r   ZtensorZ
zeros_likeZpreserve_formatZ	full_likeZno_gradFZrpropr   r   )r   r    r   Zparams_with_gradZgradsZprevsr   r   r&   r'   r$   r%   paramZgradientr   r   r   r   r!   0   s\    








 


z_FunctionalRprop.stepN)r	   r
   r   FFF)__name__
__module____qualname__r   r   floatr   boolr   r   r!   r   r   r   r   r      s          

r   )typingr   r   r   r   r   Ztorch.optim._functionalZoptimZ_functionalr*   r   r   r   __annotations__r   scriptr   r   r   r   r   <module>   s    