o
    Hh2                     @   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dedefddZdedee fddZ	deee  fddZ
dS )_FunctionalSGD{Gz?        Fparamslrmomentum	dampeningweight_decaynesterovmaximizeforeachfused_allow_empty_param_listc                 C   s|   t dd ||||d| _|| _|| _|| _|	| _tjt	tj
t	ttj
f f i | _t|dkr7|
s7tdd|i| _d S )N   )
stacklevel)r
   r   r   r   r   z%optimizer got an empty parameter listr	   )r   defaultsr   r   r   r   torchjitannotatedictr   strstatelen
ValueErrorparam_group)selfr	   r
   r   r   r   r   r   r   r   r    r    Z/var/www/vscode/kcb/lib/python3.10/site-packages/torch/distributed/optim/functional_sgd.py__init__   s   
$z_FunctionalSGD.__init__paramgradc                 C   s  | j d }| j d }| j d }| j d }|g}g }g }	d}
|durK|	| |jr+d}
|| jvr5i | j|< | j| }d|vrD|d n||d  t  tj||	|||||| j| j	|
| j
| jddd	 W d   n1 sqw   Y  | j| }|d
 }|dur||d< dS dS )z[Similar to self.step, but operates on a single parameter and
        its gradient.
        r   r   r   r
   FNTmomentum_bufferr   r   r
   r   r   r   has_sparse_gradr   r   
grad_scale	found_infr   )r   append	is_sparser   r   no_gradFsgdr   r   r   r   )r   r#   r$   r   r   r   r
   r	   momentum_buffer_listgradsr'   r   r%   r    r    r!   
step_param;   sR   









z_FunctionalSGD.step_param	gradientsc                 C   s  | j d }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 ]7\}}|d urx|| || |jrXd}
|| jvrbi | j|< | j| }d|vrq|d  qA||d  qAt	  t
j|||||||	| j| j|
| j| jd d d W d    n1 sw   Y  t|D ]\}}| j| }|| }|d ur||d< qd 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: FTr%   r&   )r   r   r   r   zipr*   r+   r   r   r,   r-   r.   r   r   r   r   	enumerate)r   r2   r	   params_with_gradr0   r/   r
   r   r   r   r'   r#   gradientr   ipr%   r    r    r!   stepm   sn   











z_FunctionalSGD.stepN)	r   r   r   r   FFFFF)__name__
__module____qualname__listr   floatboolr"   r   r1   r9   r    r    r    r!   r      sB    	

!2r   )typingr   r   torch.optim._functionaloptim_functionalr-   r   ,torch.distributed.optim._deprecation_warningr   r   r=   r   __annotations__r   scriptr   r    r    r    r!   <module>   s   