
    9j3                     r   U d dl Z d dl mZ e j                  j                  Zd dlZd dlZd dlmZ d dlm	Z	 d dl
mZ d dlmZ i Zeee j"                  j$                  f   ed<    e       Zee   ed<    e	d	      Z ed
      ZddZd Z	 dde j4                  j6                  deee j"                  j$                  f   dz  deeeef   geeef   f   fdZ eej:                  j<                        	 	 	 ddedee    dz  dedz  de!def
d       Z" eej:                  jF                        ddede!defd       Zy)    N)Tensor)Callable)TypeVar)	ParamSpec)Numberdecomposition_tablefunction_name_set_T_Preturnc                 B   t         j                  }t        j                  |       }|j                  j	                         D ]6  }|j
                  |k(  st        d|j                   d| j                          |j                  |k(  rt        d| j                         y )NzNo signature on param z for function z"No return annotation for function )	inspect_empty	signature
parametersvalues
annotationAssertionErrornamereturn_annotation)finspect_emptysigparams       Y/media/conek/DATA/Code/OCR/venv/lib/python3.12/site-packages/torch/jit/_decompositions.py(check_decomposition_has_type_annotationsr      s    NNM


A
C&&( }, (N166(K  -A!&&JKK .    c                    | j                   }|j                   }t        |      t        |      k7  ryt        |j                         |j                               D ]  \  }}t        j
                  }dD ]I  }|dk(  r&|j                  dk(  rt        j                  dd       t        ||      t        ||      k7  sH  y |j                  }|j                  }	||k7  s|	|k7  s||	k7  s y | j                  |j                  k(  S )NF)r   r   r   selfz4PyTorch uses 'input' instead of 'self' on public api   )
stacklevel)r   lenzipr   r   r   r   warningswarngetattrdefaultr   )
decomposition_sigtorch_op_sigdecomp_params	op_paramsdecomp_paramop_paramr   fielddecomp_default
op_defaults
             r   signatures_matchr1   $   s   %00M''I
=S^+"%m&:&:&<i>N>N>P"Q h
  + 	E<#4#4#>JWX |U+wx/GG	 &--%%
 ]*z]/J++. ..,2P2PPPr   aten_opregistryc                 d     dt         t        t        f   dt         t        t        f   f fd}|S )Nr   r   c                    t         t        t        j                  j                        st        dt                     | j                  t        v rt        d| j                         t        j                  | j                         t        j                  j                  |       }t        j                  j                  |j                         t        d      D ]T  }t        j                  j!                  |j                         t        j                  j#                  |j                         V |t%        j&                        <   | S )Nz'Expected aten_op to be OpOverload, got zDuplicated function name r    )r   
isinstancetorch_ops
OpOverloadr   type__name__r	   addjitscript_C_jit_pass_inlinegraphrange_jit_pass_peephole_jit_pass_constant_propagationstr_schema)r   scripted_func_r2   r3   s      r   decomposition_decoratorz7register_decomposition.<locals>.decomposition_decoratorI   s    *H'5::#8#89 9$w-I 
 ::** #<QZZL!IJJajj)		((+!!-"5"56q 	IAHH''(;(;<HH33M4G4GH	I *7W__%&r   )r   r   r
   )r2   r3   rI   s   `` r   register_decompositionrJ   E   s0    8BF#3 R8H 2 #"r   inputdim
correctionkeepdimc                    |g }|}t        |t        t        f      rt        |      dk(  r| j	                         }nd}|D ]  }|| j
                  |   z  } t        j                  | |d      }| |z
  }||z  }t        j                  |||      }	|t        |dz
        }
nIt        |t              rt        ||z
        }
n*t        |t              rt        |      |z
  }
nt        d      |	t        d|
      z  S )Nr      Tzcorrection must be int or float)r6   tuplelistr"   numelshapeatenmeansumfloatintRuntimeErrormax)rK   rL   rM   rN   dim_inrV   subsqrW   denoms              r   var_decompositionra   h   s     {#t}%#c(a-KKM 	$EU##A	$ 99UC&D
$,C	sB
((2sG
$Ca!ej#&!j.)E
E*!Hz)E@AA Qr   unbiasedc                 .    t        | |rd      S d      S )NrP   r   )rM   )ra   )rK   rb   s     r   varrd      s    UXFF1FFr   )r   N)N)NNF)T)$r7   r   opsrU   r   r$   collections.abcr   typingr   typing_extensionsr   torch.typesr   r   dictrE   r=   ScriptFunction__annotations__setr	   r
   r   r   r1   r8   r9   rJ   rd   rM   rR   rY   boolra   r'    r   r   <module>rp      s     yy~~   $  '  <> T#uyy7778 =!e 3s8 #T]t_
LQF <@#ZZ""#3		0001D8# xB (2r6"223#F ++, ! $	!!	cT	! ! 	!
 ! -!H (()Gv G G G *Gr   