
    PhW                         U d dl mZmZmZmZ d dlZd dlmc mZ	 d dlm
Z
 g Zee   ed<   ej                  j                   G d d             Zy)    )DictListOptionalTupleN)Tensor__all__c                   p    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Zd	ee	e      fd
Z
y)_FunctionalRpropparamslretas
step_sizesforeachmaximize_allow_empty_param_listc                 D   d|i| _         || _        || _        || _        || _        t        |      dk(  r|st        d      d|i| _        t        j                  j                  t        t        j                  t        t        t        j                  f   f   i       | _        y )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   s           sC:\Users\daisl\Desktop\realtime-object-detection\venv\Lib\site-packages\torch/distributed/optim/functional_rprop.py__init__z_FunctionalRprop.__init__   s     "
 	$ v;!$;DEE %f-YY''U\\4U\\@Q;R-R(SUWX
    	gradientsc                    | j                   d   }g }g }g }g }| j                  d   }| j                  \  }}	| j                  \  }
}t	        |      t	        |      k7  r*t        ddt	        |       dz   dt	        |       z         d}t        ||      D ]  \  }}|
|t        j                  |      z  }|j                  |       |j                  |       || j                  vrwi | j                  |<   | j                  |   }t        j                  d      |d	<   t        j                  |t        j                  
      |d<   t        j                  ||      |d<   | j                  |   }|j                  |d          |j                  |d          |d	xx   dz  cc<    t        j                         5  t!        j"                  |||||
|||	| j$                  | j&                  |       d d d        y # 1 sw Y   y xY w)Nr   r   zEthe gradients passed in does not equal to the size of the parameters!zParams length: z. zGradients length: Fg        step)memory_formatprev	step_size   )step_size_minstep_size_maxetaminusetaplusr   r   has_complex)r   r   r   r   r   r   zipr   
is_complexappendr   tensor
zeros_likepreserve_format	full_likeno_gradFrpropr   r   )r   r    r   params_with_gradgradsprevsr   r   r)   r*   r'   r(   r+   paramgradientr   s                   r   r"   z_FunctionalRprop.step0   s   !!(+
]]4  II''+$}v;#i.(W#CK=34&s9~&678  "695OE8#u//66 ''.X&

*(*DJJu% JJu-E$)LL$5E&M$)$4$4U-B-B%E&M */2)FE+&

5)U6]+!!%"45f"'  6* ]]_GG ++!' __s   85G66G?N)g{Gz?)g      ?g333333?)gư>2   FFF)__name__
__module____qualname__r   r   floatr   boolr   r   r"    r   r   r
   r
      s    
 $.*4(-YVY Y E5L!	Y
 %,'Y Y Y "&Y64d8F#34 4r   r
   )typingr   r   r   r   r   torch.optim._functionaloptim_functionalr4   r   r   r   __annotations__r   scriptr
   rA   r   r   <module>rH      sK    . .  # # c  P P Pr   