o
    hw                     @   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                   @   sj   e Zd Z						ddee dedeeef deeef d	ed
edefddZdee	e  f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jitannotater   r   strstate)selfr   r   r   r   r   r   r    r   ^/var/www/html/ai/venv/lib/python3.10/site-packages/torch/distributed/optim/functional_rprop.py__init__   s   
(z_FunctionalRprop.__init__	gradientsc                 C   st  | j d }g }g }g }g }| jd }| j\}}	| j\}
}t|t|kr7tddt| d dt|  t||D ]U\}}|d ur|| || || jvrvi | j|< | j| }t	
d|d< t	j|t	jd	|d
< t	|||d< | j| }||d
  ||d  |d  d7  < q<t	  tj|||||
|||	| j| jd
 W d    d S 1 sw   Y  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)memory_formatprev	step_size   )step_size_minstep_size_maxetaminusetaplusr   r   )r   r   r   r   r   r   zipappendr   r   tensor
zeros_likepreserve_format	full_likeno_gradFrpropr   r   )r   r!   r   params_with_gradgradsprevsr   r   r)   r*   r'   r(   param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   torch.optim._functionaloptim_functionalr2   r   r   r   __annotations__r   scriptr   r   r   r   r   <module>   s    