o
    Zhr                     @   sj   U d dl mZ 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 )    )OptionalN)Tensor)2_scripted_functional_optimizer_deprecation_warning__all__c                   @   s`   e Zd Z							ddee deded	ed
edededefddZdeee  fddZ	dS )_FunctionalAdadelta      ??ư>        Fparamslrrhoepsweight_decayforeachmaximize_allow_empty_param_listc	           	      C   sp   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   z%optimizer got an empty parameter listr   )r   defaultsr   r   len
ValueErrorparam_grouptorchjitZannotatedictr   strstate)	selfr   r   r   r   r   r   r   r    r   Z/var/www/auris/lib/python3.10/site-packages/torch/distributed/optim/functional_adadelta.py__init__   s   

(z_FunctionalAdadelta.__init__	gradientsc                 C   s  | j d }g }g }g }g }g }| jd }| jd }	| jd }
| jd }t|t|kr>t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< tj
|tjd|d< | j| }||d  ||d  ||d  qEt  tj|||||||	|
|| j| j|d W d    d S 1 sw   Y  d S )Nr   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)Zmemory_formatZ
square_avgZ	acc_delta)r   r   r   r   r   r   has_complex)r   r   r   r   zipr   Z
is_complexappendr   ZtensorZ
zeros_likeZpreserve_formatZno_gradFZadadeltar   r   )r   r"   r   Zparams_with_gradZgradsZsquare_avgsZ
acc_deltasZstate_stepsr   r   r   r   r$   paramZgradientr   r   r   r    r#   8   sn   













"z_FunctionalAdadelta.stepN)r   r   r	   r
   FFF)
__name__
__module____qualname__listr   floatboolr!   r   r#   r   r   r   r    r      s4    	
r   )typingr   r   Ztorch.optim._functionalZoptimZ_functionalr'   r   Z,torch.distributed.optim._deprecation_warningr   r   r,   r   __annotations__r   scriptr   r   r   r   r    <module>   s   