U
    yh                     @   sf   U d dl 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OptionalN)Tensor__all__c                   @   s\   e Zd Zdee eeeeeeeeed
ddZeee ddd	Z	eee  d
ddZ
dS )_FunctionalSGD{Gz?        F)
paramslrmomentum	dampeningweight_decaynesterovmaximizeforeachfused_allow_empty_param_listc                 C   sr   ||||d| _ || _|| _|| _|	| _tjttj	tt
tj	f f i | _t|dkrd|
sdtdd|i| _d S )N)r   r   r   r   r   z%optimizer got an empty parameter listr
   )defaultsr   r   r   r   torchjitZannotater   r   strstatelen
ValueErrorparam_group)selfr
   r   r   r   r   r   r   r   r   r    r   X/var/www/html/venv/lib/python3.8/site-packages/torch/distributed/optim/functional_sgd.py__init__   s    $z_FunctionalSGD.__init__)paramgradc                 C   s   | j d }| j d }| j d }| j d }|g}g }g }	d}
|dk	r|	| |jrVd}
|| jkrji | j|< | j| }d|kr|d n||d  t 4 tj||	|||||| j| j	|
| j
| jddd	 W 5 Q R X | j| }|d
 }|dk	r||d< dS )z[Similar to self.step, but operates on a single parameter and
        its gradient.
        r   r   r   r   FNTmomentum_bufferr   r   r   r   r   r   has_sparse_gradr   r   Z
grad_scaleZ	found_infr   )r   append	is_sparser   r   no_gradFsgdr   r   r   r   )r   r    r!   r   r   r   r   r
   momentum_buffer_listgradsr$   r   r"   r   r   r   
step_param6   sN    









z_FunctionalSGD.step_param)	gradientsc                 C   sp  | j d }g }g }g }| jd }| jd }| jd }| jd }	t|t|krttddt| d d	t|  d
}
t||D ]n\}}|d k	r|| || |jrd}
|| jkri | j|< | j| }d|kr|d  q||d  qt	 4 t
j|||||||	| j| j|
| j| jd d d W 5 Q R X t|D ].\}}| j| }|| }|d k	r<||d< q<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: FTr"   r#   )r   r   r   r   zipr%   r&   r   r   r'   r(   r)   r   r   r   r   	enumerate)r   r-   r
   Zparams_with_gradr+   r*   r   r   r   r   r$   r    Zgradientr   ipr"   r   r   r   steph   sf    












z_FunctionalSGD.stepN)	r   r	   r	   r	   FFFFF)__name__
__module____qualname__r   r   floatboolr   r   r,   r2   r   r   r   r   r      s.             2r   )typingr   r   r   r   Ztorch.optim._functionalZoptimZ_functionalr(   r   r   r   __annotations__r   scriptr   r   r   r   r   <module>   s    