Ë
    g^(h$  ã                   ó~  — d dl Z d dlZd dlmZ d dlmZ d dlZd dlZd dl	Zd dl
Zd dlmc mZ g d¢Zej                   j"                  Zej                   j&                  Zej                   j*                  ZdZdeej0                  j2                     fd„Zed„ «       Zd	„ Zd
„ Z G d„ d«      Zdedefd„Z d„ Z!ed„ «       Z"y)é    N)ÚIterator)Úcontextmanager)Úenable_python_dispatcherÚno_python_dispatcherÚenable_pre_dispatchFÚreturnc               #   óº   K  — t         j                  D ]D  } t        t         j                  | «      }|D ]#  }t        ||«      }|D ]  }t        ||«      –— Œ Œ% ŒF y­w)aÄ  
    Warning: the set of overloads this will report is very subtle.  It is precisely
    the set of torch.ops functions that have actually been accessed from Python
    (e.g., we actually called torch.ops.aten.blah at some point.  This is DIFFERENT
    from the set of registered operators, which will in general be a larger set,
    as this would include all operators which we ran C++ static initializers or
    Python operator registration on.  This does not eagerly populate the list on
    torch.ops.aten; this list is lazy!

    In other words, this is good for traversing over everything that has an
    OpOverload object allocated in Python.  We use it for cache invalidation, but
    don't rely on this list being complete.

    Note that even if we did report all C++ registered overloads, this isn't guaranteed
    to be complete either, as a subsequent lazy load of a library which triggers more
    registrations could add more things to the set.
    N)ÚtorchÚopsÚgetattr)ÚnsÚpacketsÚop_nameÚpacketÚoverloads        úT/var/www/skyplay_api_hub/venv/lib/python3.12/site-packages/torch/_dispatch/python.pyÚall_py_loaded_overloadsr      sb   è ø€ ô$ �i‰iò 0ˆÜœ%Ÿ)™) RÓ(ˆØò 	0ˆGÜ˜W gÓ.ˆFØ"ò 0�Ü˜f hÓ/Ó/ñ0ñ	0ñ0ùs   ‚AAc               #   ón  K  — t         j                  j                  t         j                  j                  j                  «      } t         j                  j                  «       }| rt        j                  «        	 d –— | rt        j                  |¬«       y y # | rt        j                  |¬«       w w xY w­w)N)Úreapply_views)r
   Ú_CÚ&_dispatch_tls_is_dispatch_key_includedÚDispatchKeyÚFunctionalizeÚ$_functionalization_reapply_views_tlsÚ_disable_functionalizationÚ_enable_functionalization)Úf_tlsÚf_rvs     r   Úsuspend_functionalizationr   1   s…   è ø€ ä�H‰H×;Ñ;Ü�‰×Ñ×*Ñ*ó€Eô �8‰8×8Ñ8Ó:€DÙÜ×(Ñ(Ô*ð@ÛáÜ×+Ñ+¸$Ö?ð ø‰5Ü×+Ñ+¸$Ö?ð üs   ‚A6B5Á9B Á=B5ÂB2Â2B5c           	      óø  — t        |«      sJ ‚| j                  «       |j                  «       k(  s0J  |«       › d| j                  «       › d|j                  «       › �«       ‚| j                  |j                  k(  s(J  |«       › d| j                  › d|j                  › �«       ‚t        j                  j                  | |d¬«      \  }}|s4J  |«       › d| j                  «       › d|j                  «       › d|› d�«       ‚y )	Nz: sizes ú != z: dtype F)Ú	only_cudaz
: strides z (mismatch at index ú))ÚcallableÚsizeÚdtyper
   Ú_prims_commonÚcheck_significant_stridesÚstride)ÚnvÚrvÚdescÚsame_stridesÚidxs        r   Úcheck_tensor_metadata_matchesr/   @   sç   € Ü�DŒ>Ðˆ>Ø�7‰7‹9˜Ÿ™›	Ò!ÐP¡d£f X¨X°b·g±g³i°[ÀÀRÇWÁWÃYÀKÐ#PÓPÐ!Ø�8‰8�r—x‘xÒÐL¡D£F 8¨8°B·H±H°:¸TÀ"Ç(Á(ÀÐ!LÓLÐÜ×+Ñ+×EÑEØ
ˆB˜%ð Fó Ñ€L�#ñ ð Ù‹6ˆ(�*˜RŸY™Y›[˜M¨¨b¯i©i«k¨]Ð:NÈsÈeÐSTÐUó‰<ó    c                 ó”  ‡‡	— t        ‰«      sJ ‚t        j                  | «      \  }}t        j                  |«      \  }}t        |«      t        |«      k(  sJ t        |«      › dt        |«      › �«       ‚t	        t        t        |«      «      ||«      D ]2  \  Š	}}t        |t        j                  «      sŒ"t        ||ˆˆ	fd„«       Œ4 y )Nr!   c                  ó   •—  ‰ «       › d‰› �S )Nz output © )r,   Úis   €€r   ú<lambda>z(check_metadata_matches.<locals>.<lambda>V   s   ø€ ¹»¸ÀÈÈÐ6L€ r0   )
r$   ÚpytreeÚtree_flattenÚlenÚzipÚrangeÚ
isinstancer
   ÚTensorr/   )
ÚnÚrr,   Ún_valsÚ_n_specÚr_valsÚ_r_specr*   r+   r4   s
     `      @r   Úcheck_metadata_matchesrC   L   s®   ù€ Ü�DŒ>Ðˆ>Ü×)Ñ)¨!Ó,�O€FˆGÜ×)Ñ)¨!Ó,�O€FˆGô ˆv‹;œ#˜f›+Ò%ÐH¬#¨f«+¨°d¼3¸v»;¸-Ð'HÓHÐ%Üœœs 6›{Ó+¨V°VÓ<ò N‰	ˆˆ2ˆrÜ˜"œeŸl™lÔ+ØÜ% b¨"Ô.LÕMñNr0   c                   ó   — e Zd Zd„ Zd„ Zy)ÚLitc                 ó   — || _         y ©N©Ús)ÚselfrI   s     r   Ú__init__zLit.__init__Z   s	   € Øˆ�r0   c                 ó   — | j                   S rG   rH   )rJ   s    r   Ú__repr__zLit.__repr__]   s   € Ø�v‰vˆr0   N)Ú__name__Ú
__module__Ú__qualname__rK   rM   r3   r0   r   rE   rE   Y   s   „ òór0   rE   Úac           	      óÂ   — t        | t        j                  «      rDt        dt	        | j                  «       «      › d| j                  «       › d| j                  › d�«      S | S )Nztorch.empty_strided(ú, z, dtype=r#   )r;   r
   r<   rE   Útupler%   r)   r&   )rQ   s    r   Ú_fmtrU   a   sR   € Ü�!”U—\‘\Ô"ÜØ"¤5¨¯©«£?Ð"3°2°a·h±h³j°\ÀÈ!Ï'É'ÈÐRSÐTó
ð 	
ð ˆr0   c                 óŒ   ‡ ‡‡— ddl mŠ ‰ t        j                  j                  j
                  j                  k(  r‰S ˆˆˆ fd„}|S )Nr   )ÚFakeTensorModec                  óâ  •‡	‡
‡—  ‰«       Š	ˆ	fd„}d„ }t         j                  j                  j                  «       5  t	        «       5  t        j                  || |f«      \  }}t        j                  |||f«      \  Š
Š‰	5   ‰|i |¤Ž}d d d «       d d d «       d d d «        ‰j                  ‰g| ¢­i |¤Ž}ˆˆ
ˆfd„}t        ||«       |S # 1 sw Y   ŒExY w# 1 sw Y   ŒIxY w# 1 sw Y   ŒMxY w)Nc                 óB  •— t        | t        j                  «      rƒt        j                  | «      r[t        j                  | «      }| j                  «       |j                  «       k(  sJ ‚| j                  «       |j                  «       k(  sJ ‚| }‰j                  |«      S | S rG   )r;   r
   r<   Ú_is_functional_tensorÚ_from_functional_tensorr%   r)   Úfrom_tensor)Útr>   Ú	fake_modes     €r   Úfakeify_defunzCmake_crossref_functionalize.<locals>.handler.<locals>.fakeify_defunt   s€   ø€ Ü˜!œUŸ\™\Ô*Ü×.Ñ.¨qÔ1Ü×5Ñ5°aÓ8�Að
 Ÿ6™6›8 q§v¡v£xÒ/Ð/Ð/ØŸ8™8›:¨¯©«Ò3Ð3Ð3à�Aà ×,Ñ,¨QÓ/Ð/ØˆHr0   c                 óZ   — t        | t        j                  «      r| j                  «       S | S rG   )r;   r
   r<   Údetach)r]   s    r   Úmaybe_detachzBmake_crossref_functionalize.<locals>.handler.<locals>.maybe_detach„   s!   € Ü˜!œUŸ\™\Ô*Ø—x‘x“zÐ!à�r0   c                  ó–   •— dj                  t        j                  d„ ‰D «       d„ ‰j                  «       D «       «      «      } ‰› d| › d�S )NrS   c              3   ób   K  — | ]'  }t        t        j                  t        |«      «      –— Œ) y ­wrG   )Úreprr6   Útree_maprU   )Ú.0rQ   s     r   ú	<genexpr>zMmake_crossref_functionalize.<locals>.handler.<locals>.desc.<locals>.<genexpr>›   s    è ø€ ÒI¸”Tœ&Ÿ/™/¬$°Ó2×3ÑIùs   ‚-/c              3   ó`   K  — | ]&  \  }}|› d t        j                  t        |«      › �–— Œ( y­w)ú=N)r6   rf   rU   )rg   ÚkÚvs      r   rh   zMmake_crossref_functionalize.<locals>.handler.<locals>.desc.<locals>.<genexpr>œ   s3   è ø€ ò á ˜A˜qð ˜#˜QœvŸ™¬t°QÓ7Ð8Ô9ñùs   ‚,.ú(r#   )ÚjoinÚ	itertoolsÚchainÚitems)Úfmt_argsÚopÚorig_f_argsÚorig_f_kwargss    €€€r   r,   z:make_crossref_functionalize.<locals>.handler.<locals>.desc˜   sP   ø€ Ø—y‘yÜ—‘ÙI¸[ÔIñà$1×$7Ñ$7Ó$9ôóóˆHð �T˜˜8˜* AÐ&Ð&r0   )	r
   ÚutilsÚ_python_dispatchÚ_disable_current_modesr   r6   rf   Ú_op_dkrC   )ÚargsÚkwargsr_   rb   Úf_argsÚf_kwargsÚf_rr>   r,   r^   rt   ru   rW   Ú	final_keyrs   s            @@@€€€r   Úhandlerz,make_crossref_functionalize.<locals>.handlerq   sò   û€ Ù"Ó$ˆ	ô	ò 	ô �K‰K×(Ñ(×?Ñ?ÓAñ		.ä%Ó'ñ		.ô  &Ÿ™¨}¸tÀV¸nÓMÑˆF�HÜ)/¯©Ø˜v xÐ0ó*Ñ&ˆK˜ð ñ .Ù˜&Ð- HÑ-�÷.÷		.÷ 		.ð ˆB�I‰I�iÐ1 $Ò1¨&Ñ1ˆö
	'ô 	˜s A tÔ,Øˆ÷#.ð .ú÷		.ð 		.ú÷ 		.ð 		.ús;   ¼C%Á9CÂ 	CÂ	CÂC%ÃCÃCÃC"	ÃC%Ã%C.)Útorch._subclasses.fake_tensorrW   r
   r   ÚatenÚ
lift_freshÚdefault)rs   r   r€   rW   s   `` @r   Úmake_crossref_functionalizer…   j   s7   ú€ Ý<ð 
ŒU�Y‰Y�^‰^×&Ñ&×.Ñ.Ò.ØÐö4ðl €Nr0   c               #   óT  K  — t        «       D ]5  } | j                  t        j                  j                  j
                  «       Œ7 	 t        «       5  t        j                  j                  dd«      5  d –— d d d «       d d d «       t        «       D ]5  } | j                  t        j                  j                  j
                  «       Œ7 y # 1 sw Y   ŒTxY w# 1 sw Y   ŒXxY w# t        «       D ]5  } | j                  t        j                  j                  j
                  «       Œ7 w xY w­w)Nz-torch._dispatch.python.CROSSREF_FUNCTIONALIZET)
r   Ú_uncache_dispatchr
   r   r   r   r   ÚunittestÚmockÚpatch)rs   s    r   Úenable_crossref_functionalizer‹   ¬   sñ   è ø€ ä%Ó'ò AˆØ
×ÑœUŸX™X×1Ñ1×?Ñ?Õ@ðAðEä$Ó&ñ	ä�M‰M×ÑÐ OÐQUÓVñ	ó ÷		÷ 	ô *Ó+ò 	EˆBØ× Ñ ¤§¡×!5Ñ!5×!CÑ!CÕDñ	E÷	ð 	ú÷ 	ð 	ûô *Ó+ò 	EˆBØ× Ñ ¤§¡×!5Ñ!5×!CÑ!CÕDñ	EüsP   ‚AD(Á
C! Á!CÁ1C	Á6CÁ>C! ÂAD(Ã	C	ÃCÃCÃC! Ã!AD%Ä%D()#ro   Úunittest.mockrˆ   Úcollections.abcr   Ú
contextlibr   r
   Útorch._CÚ
torch._opsÚtorch.utils._python_dispatchÚtorch.utils._pytreerv   Ú_pytreer6   Ú__all__r   Ú_DisablePythonDispatcherr   Ú_EnablePythonDispatcherr   Ú_EnablePreDispatchr   ÚCROSSREF_FUNCTIONALIZEÚ_opsÚ
OpOverloadr   r   r/   rC   rE   ÚobjectrU   r…   r‹   r3   r0   r   ú<module>rœ      sÖ   ðã Û Ý $Ý %ã Û Û Û #ß $Ð $ò V€à—x‘x×8Ñ8Ð Ø Ÿ8™8×;Ñ;Ð Ø—h‘h×1Ñ1Ð àÐ ð0 ¨%¯*©*×*?Ñ*?Ñ!@ó 0ð4 ñ@ó ð@ò	ò
N÷ñ ðˆFð �vó ò=ðD ñEó ñEr0   