
    IЦiRJ                   X   S SK Jr  S SKrS SKrS SKrS SKrS SKrS SKrS SKJ	r	  S SKJ
r
  S SKJrJrJrJrJrJrJrJrJrJrJrJrJrJrJrJr  S SKJrJrJrJrJ r   S SK!r!S SK"J#r#  S SK$J%r%J&r&J'r'J(r(J)r)J*r*J+r+J,r,J-r-J.r.J/r/  S S	K0J1r1  S S
K2J3r3  S SK4J5r5  S SK6J7r7  \(       a  S SK$J8r8  S SK9J:r:  S SK;J<r<J=r=  S SK>J?r?J@r@  SAS jrA\rB\" SS\!R                  5      rD\" S5      rE\" S\!R                  S9rF\" S\!R                  SS9rGSBS jrHSCS jrISDS jrJSES jrKSSS.           SFS  jjrLSGS! jrMSHS" jrNSGS# jrOSGS$ jrPSIS% jrQSJS& jrR      SKS' jrS\" S(\T5      rU\" S)\T5      rV\" S*\T5      rW\W" S 5      qX " S+ S,5      rY\
" SS-9 " S. S/5      5       rZ\
" SS-9 " S0 S1\\F   5      5       r[\
" SS-9 " S2 S3\[S4   5      5       r\\
" SS-9 " S5 S6\[\F   \\F   5      5       r] " S7 S8\SS99r^ " S: S;\\\G   5      r_\
" SS-9 " S< S\\F   5      5       r`SLS= jraSMS> jrb " S? S@\\F   5      rcS SKdJerf  g)N    )annotationsN)abstractmethod)	dataclass)AnyCallableClassVarContextManagerDictGenericListNewTypeOptionalProtocolSetTupleTypeTYPE_CHECKINGTypeVarUnion)override	TypedDict	TypeGuardTypeIsUnpack)CreationMeta)_add_batch_dim_unwrap_functional_tensor_wrap_functional_tensorget_unwrappedis_batchedtensoris_functorch_wrapped_tensoris_gradtrackingtensoris_legacy_batchedtensormaybe_get_bdimmaybe_get_levelpeek_interpreter_stack)trace_structured)no_dispatch)is_traceable_wrapper_subclass)WeakIdKeyDictionary)CInterpreter)Source)
FakeTensorFakeTensorMode)ShapeEnvSymbolicContextc                $    SSK Jn  [        X5      $ )Nr   )r-   )torch._subclasses.fake_tensorr-   
isinstance)tr-   s     [/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/torch/_subclasses/meta_utils.py_is_fake_tensorr6   ?   s    8a$$    _TensorLikeTMetaTensorDesc_T_TensorT)bound_TensorT_covT)r<   	covariantc                <     U R                   $ ! [         a     gf = f)NF)is_leafRuntimeErrorr4   s    r5   safe_is_leafrC   L   s#    yy s    
c                    [         R                  " 5          [         R                  " SS5        U R                  sS S S 5        $ ! , (       d  f       g = f)NignorezThe .grad attribute of a Tensor)warningscatch_warningsfilterwarningsgradrB   s    r5   	safe_gradrJ   T   s2    		 	 	"*KLvv 
#	"	"s   #A
Ac                &    [        U 5      nUc   eU$ N)rJ   )r4   rI   s     r5   _expect_safe_gradrM   Z   s    Q<DKr7   c                &    X:X  d   U  SU 35       eg )Nz !=  )abs     r5   	assert_eqrR   `   s    6 aSQC= 6r7   Fskip_symbolic	skip_leafc                  ^ ^^^ [        U[        R                  5      (       a  [        5       R	                  U5      OUnSU UUU4S jjmT" X5      $ )Nc                  > T" U R                   UR                   5        T(       d  T" U R                  UR                  5        T" U R                  UR                  5        T(       d  T" U R                  UR                  5        T" U R                  UR                  5        T" U R
                  UR                  5       5        T" U R                  UR                  5       5        T" U R                  UR                  5       5        T" U R                  S L[        U5      S L5        U R                  b  T" U R                  [        U5      5        U R                  (       a  T" U R                  UR                  5        T" U R                  UR                  5       5        T" U R                  UR                  5       5        T" U R                  UR                  5       5        g [        U 5      (       a`  T" U R                  UR                  5        T" U R                  UR                  5       5        T" U R                  UR                  5       5        g T(       dB  T" U R                   UR!                  5       5        T" U R"                  UR#                  5       5        T" U R$                  UR'                  5       5        U R$                  (       a<  U R(                  c   eUR*                  c   eT" U R(                  UR*                  5        g g rL   )dtypeshaperequires_gradr@   	is_sparseis_inferenceis_conjis_negrI   rJ   rM   layout	dense_dim
sparse_dimis_coalescedis_sparse_compressedstridestorage_offsetis_view_is_viewbase_base)m1m2rR   gorU   rT   s     r5   rl   assert_metadata_eq.<locals>.gor   s   "((BHH%bhh)"""B$4$45bjj"**- 	",,-"//2??#45"**bjjl+"))RYY[)"''%y}D'@A77rww)"-. <<bii+bllBLLN3bmmR]]_5boor'89!"%%bii+bllBLLN3bmmR]]_5 "))RYY[1"++R->->-@Abjj"++-0zzww***xx+++277BHH% r7   )rj   r9   rk   torch.TensorreturnNone)r3   torchTensorMetaTensorDescriberdescribe_tensor)rR   rj   rk   rT   rU   rl   s   `  ``@r5   assert_metadata_eqru   d   sH     b%,,'' 	--b1 #& #&P b:r7   c                |    [        U [        R                  5      =(       a    U R                  [        R                  L $ rL   )r3   rq   rr   r_   
sparse_coorB   s    r5   is_sparse_coorx      s'    a&G188u7G7G+GGr7   c                    U [         R                  [         R                  [         R                  [         R                  1;   $ rL   )rq   
sparse_csr
sparse_csc
sparse_bsr
sparse_bsc)r_   s    r5   is_sparse_compressed_layoutr~      s8    	  r7   c                n    [        U [        R                  5      =(       a    [        U R                  5      $ rL   )r3   rq   rr   r~   r_   rB   s    r5   rc   rc      s"    a&P+Fqxx+PPr7   c                <    [        U 5      =(       d    [        U 5      $ rL   )rx   rc   rB   s    r5   is_sparse_anyr      s    63A66r7   c                R    [        X5      (       d   SU  S[        U5       35       eU$ )Nz	expected z	 but got )r3   type)tyobjs     r5   _checked_castr      s.    cD)B4yc DDJr7   c                    U R                   $ rL   real_storage)rh   s    r5   _get_real_storager      s    r7   c                    Xl         g rL   r   )rh   r   s     r5   _set_real_storager      s
     %r7   MetaStorageIdMetaTensorId_DescriberIdc                  |    \ rS rSrSrSS.SS jjrSS jrSS jrSS.     SS	 jjrS
SS.       SS jjr	Sr
g)rs      a  
Given a Tensor/Storage, generate a MetaTensorDesc/MetaStorageDesc
for it, which is enough information to reconstruct a meta tensor/fake tensor
corresponding to a Tensor as faithfully as possible.

This is a stateful conversion object because we keep track of the IDs
of the tensors/storages passed to us, so we can consistently give
the same ID when we see the same tensor/storage.
F	copy_datac                  [         U l        [        [         S-   5      q [        S5      U l        [        S5      U l        [        5       U l        [        5       U l	        Xl
        [        5       U l        [        5       U l        g )N   r   )DESCRIBER_NEXT_IDidr   r   next_tensor_idr   next_storage_idr*   lookup_tensorlookup_storager   settraced_tensorstraced_storagesselfr   s     r5   __init__MetaTensorDescriber.__init__   sb    #():Q)>?,8O.;A.>0213"(+),r7   c                    XR                   ;  a6  U R                  U R                   U'   [        U R                  S-   5      U l        U R                   U   $ Nr   )r   r   r   r   r4   s     r5   get_tensor_id!MetaTensorDescriber.get_tensor_id   sM    &&&$($7$7Dq!".t/B/BQ/F"GD!!!$$r7   c                    XR                   ;  a6  U R                  U R                   U'   [        U R                  S-   5      U l        U R                   U   $ r   )r   r   r   r   ss     r5   get_storage_id"MetaTensorDescriber.get_storage_id   sM    '''%)%9%9D"#01E1E1I#JD ""1%%r7   tracec               *  ^ ^ [        T R                  U5      UR                  5       T R                  (       a  UOS S9mU(       aN  TR                  T R
                  ;  a4  [        SUU 4S jS9  T R
                  R                  TR                  5        T$ )N)r   sizedatadescribe_storagec                 :   > T R                  TR                  5      $ rL   as_jsonr   rr   s   r5   <lambda>6MetaTensorDescriber.describe_storage.<locals>.<lambda>       AIIdgg$6r7   metadata_fn)MetaStorageDescr   r   r   r   r   r'   add)r   r   r   r   s   `  @r5   r   $MetaTensorDescriber.describe_storage   sv     ""1% nn$
 QTT!5!55"6   $$QTT*r7   Trecurser   c                 ^ ^! [        U5      nUR                  5       nUR                  nUR                  nUR                  n[        U5      n	[        U5      n
UR                  n[        U5      n[        U5      n[        U5      nU=(       d    Un[        R                  " U5      nS nSnU(       da  [        U5      (       dQ  U(       a  U	(       aC  U(       d<  U
(       d5  U(       d.  T R                  UR                  5       US9nUR!                  5       nS nU(       d.  [        U5      (       d  U(       a  U	(       a  UR#                  5       nS nS nS nU(       d  U(       a  T R%                  ['        U5      US9nOU(       a  UR(                  R*                  S;  a  UR                  5       (       a  [-        S5      eU
(       d=  [        R.                  " U5        T R%                  [        R0                  " U5      US9nUnO`[        R2                  R5                  5       nT R%                  [7        UU5      US9n[        R2                  R8                  R;                  5       nS nU
(       a2  [        R8                  R<                  R?                  5        n S S S 5        S nS nS nU	(       a\  [A        US5      (       d   eURC                  5       u  nnU Vs0 s H  nUT R%                  [E        UU5      US9_M      nn[+        U5      nSSK#J$n  [J        RM                  U5      n[O        S?0 ST RQ                  U5      _SU_S	URS                  5       _S
U_SURT                  _SURW                  5       _SURX                  _SU_SU_SU
_SU_SU_SU_SU_SUR[                  5       _SUR]                  5       _S[_        U[        R`                  Rb                  5      _SU	_SU_SUU;   a  UU   Rd                  Rg                  5       OS _SU_SU_SUR(                  _SURi                  5       _SU_S U_S![k        [E        US"[m        5       5      5      _S#UR                  (       d  [o        U5      (       a  URq                  5       OS _S$UR                  (       d  [o        U5      (       a  URs                  5       OS _S%UR                  (       a  URu                  5       OS _S&U(       aM  UR                  [        Rv                  [        Rx                  1;   a  T R%                  UR{                  5       S'US(9OS _S)U(       aM  UR                  [        Rv                  [        Rx                  1;   a  T R%                  UR}                  5       S'US(9OS _S*U(       aM  UR                  [        R~                  [        R                  1;   a  T R%                  UR                  5       S'US(9OS _S+U(       aM  UR                  [        R~                  [        R                  1;   a  T R%                  UR                  5       S'US(9OS _S,U(       a/  [o        U5      (       a  T R%                  UR                  5       S'US(9OS _S-[        U5      =n b  T R%                  U US9OS _S.UR                  5       (       a)  [        R2                  R                  R                  U5      OS _S/U_S0U(       d  U(       a  [        U5      OS _S1U(       a  [        U5      OS _S2U(       a<  UR                  5       (       a'  UR                  b  T R%                  UR                  US9OS _S3[        R                  R                  R                  U5      _S4U_S5U_S6U_S7U_S8U_S9U_S:U_S;T R                  (       a  UOS _6m!U(       aN  T!R                  T R                  ;  a4  [        S<U!U 4S= jS>9  T R                  R                  T!R                  5        T!$ ! , (       d  f       GNj= fs  snf )@Nr   r   xlalazyzVCannot safely fakify a view because this process drops the view information right now.__tensor_flatten__)_tensor_symint_registryr   storager\   r@   rZ   ndimrX   r[   	is_mkldnnis_functorch_wrappedr    r#   r"   rf   r]   r^   is_parameterr)   	is_nested
nested_intis_functionalr_   devicer   rd   re   dynamo_dynamic_indices_dynamo_dynamic_indicesra   r`   rb   crow_indicesFr   col_indicesccol_indicesrow_indicesvaluesrI   creation_meta	unwrappedlevelbdimrh   	fake_mode	view_funcattrsctxr   functorch_stackautograd_meta_fromcurrent_levelr   rt   c                 :   > T R                  TR                  5      $ rL   r   r   s   r5   r   5MetaTensorDescriber.describe_tensor.<locals>.<lambda>  r   r7   r   rO   )RrC   rg   r[   r_   r   r)   r!   r   r    r#   r"   rq   _is_functional_tensorr~   r   untyped_storagere   rd   rt   r   r   r   rA   _sync_from_functional_tensor_C$_functionalization_reapply_views_tlsr   
_functorchr   pyfunctorch#temporarily_clear_interpreter_stackhasattrr   getattr$torch.nested._internal.nested_tensorr   ViewFuncfrom_tensorr9   r   r\   rZ   dimrX   r]   r^   r3   nn	Parameternoder   r   listr   rc   ra   r`   rb   rz   r|   r   r   r{   r}   r   r   r   rJ   	_autograd_get_creation_metar%   r$   ri   _subclassesfake_tensormaybe_get_fake_moder   r   r   r'   r   )"r   r4   r   r   r@   rf   r[   r_   r   is_traceable_wrapper_subclass_vr   r   is_batchedtensor_vis_legacy_batchedtensor_vis_gradtrackingtensor_vis_functorch_batched_or_gradr   r   re   rd   r   r   r   reapply_viewsmaybe_functorch_stackr   r   type_v	raw_attrsattrr   r   rI   r   s"   `                                @r5   rt   #MetaTensorDescriber.describe_tensor  s    q/**,KK	KK	*G*J':1=KK	-a0$;A$>!"7":'9'T=T$33A6 *622"A $( ++A,=,=,?u+MG--/N*622"A
 XXZF
 	!!8,,]1-=U,KI qxx}}OCzz||"l  (A 0011!4E 1 	 &'" % M M O 00-a?u 1 	 !& 3 3 A A C $!!--QQSWl T *123333113NIs &%D d**71d+;5*II%   !WFP((+	 + g
!!!$g
g
 )g
 	g

 //g
 g
 ''g
  g
  g
  "6!g
" 0#g
$ %>%g
& #:'g
( )g
* IIK+g
, 88:-g
. $Auxx'9'9:/g
0 +J1g
2  3g
8 // (*//::<;g
> (?g
@ Ag
B 88Cg
D Eg
F Gg
H *Ig
J $(3Lce(T#UKg
N #$++1Ea1H1HdOg
R (){{6J16M6MakkmSWSg
T ./[[)dUg
` qxxE,<,<e>N>N+OO $$Q^^%5uE$Rcg
j qxxE,<,<e>N>N+OO $$Q]]_e5$Qmg
t qxxE,<,<e>N>N+OO $$Q^^%5uE$Rwg
~ qxxE,<,<e>N>N+OO $$Q]]_e5$QAg
H 3A66 $$QXXZe$LKg
R &aL(D5 $$T$7Ug
Z =>JJLL""55a8d[g
^  _g
d &)@  "gg
j '9"dkg
p qzz||0C $$QWWE$:sg
v ''33GGJwg
x  yg
z {g
| }g
~ g
F 2Gg
H  2Ig
J (Kg
L nn$Mg
P QTT!4!44!6 ##ADD)G TSs   _2%`2
`)r   r   r   r   r   r   r   r   Nr   boolro   rp   )r4   rn   ro   r   )r   torch.UntypedStoragero   r   )r   r
  r   r	  ro   r   )r4   rn   r   r	  r   r	  ro   r9   )__name__
__module____qualname____firstlineno____doc__r   r   r   r   rt   __static_attributes__rO   r7   r5   rs   rs      st     -2 /%& 9>%15	& 37eUU+/U?CU	U Ur7   rs   )frozenc                  >    \ rS rSr% S\S'   S\S'   S\S'   SS jrS	rg
)r   i  r   r   intr   Optional[torch.UntypedStorage]r   c                    U R                   U[        U R                  [        5      (       a  U R                  S.$ [	        U R                  5      S.$ )N)r   describer_idr   )r   r3   r   r  repr)r   r  s     r5   r   MetaStorageDesc.as_json  sF    ''(!+DIIs!;!;DII
 	
 BFdii
 	
r7   rO   Nr  r   ro   zDict[str, object])r  r  r  r  __annotations__r   r  rO   r7   r5   r   r     s    
I )(
r7   r   c                  V    \ rS rSr\  S         SS jj5       r\SS j5       rSrg)	r   i  Nc                    g rL   rO   r   r4   new_basesymint_visitor_fntensor_visitor_fns        r5   applyViewFunc.apply  s     	r7   c                `    [        U 5      (       a
  [        5       $ [        U R                  5      $ rL   )r6   _FakeTensorViewFunc_CustomViewFunc_view_func_unsaferB   s    r5   r   ViewFunc.from_tensor  s'    1&(("1#6#677r7   rO   NN)
r4   r;   r  r;   r  Optional[Callable[[int], int]]r   ,Optional[Callable[[torch.Tensor], _TensorT]]ro   r;   )r4   rn   ro   r   )	r  r  r  r  r   r!  staticmethodr   r  rO   r7   r5   r   r     sb    
 =AJN  :	
 H 
  8 8r7   r   c                  B    \ rS rSr\  S         SS jj5       rSrg)r$  i   Nc                j    [         R                  R                  R                  R	                  XX45      $ rL   )rq   r   r   r-   r&  r  s        r5   r!  _FakeTensorViewFunc.apply  s/       ,,77II*
 	
r7   rO   r(  )
r4   rn   r  rn   r  r)  r   z.Optional[Callable[[torch.Tensor], FakeTensor]]ro   r-   )r  r  r  r  r   r!  r  rO   r7   r5   r$  r$     sN    
 =ALP	
	
 	
 :		

 J	
 
	
 	
r7   r$  r-   c                  N    \ rS rSr% S\S'   \  S         SS jj5       rSrg)	r%  i  zpCallable[[torch.Tensor, Optional[Callable[[int], int]], Optional[Callable[[torch.Tensor], _TensorT]]], _TensorT]funcNc                &    U R                  X#U5      $ rL   )r0  r  s        r5   r!  _CustomViewFunc.apply  s     yy6GHHr7   rO   r(  )
r4   rn   r  rn   r  r)  r   r*  ro   r;   )r  r  r  r  r  r   r!  r  rO   r7   r5   r%  r%    sa      
 =AJNII I :	I
 HI 
I Ir7   r%  c                       \ rS rSr% S\S'   Srg)_MetaTensorCallbackKwargsi&  zUnion[torch.device, str]r   rO   N)r  r  r  r  r  r  rO   r7   r5   r4  r4  &  s    $$r7   r4  )totalc                  *    \ rS rSr      SS jrSrg)_MetaTensorCallbacki*  c                   g rL   rO   )r   argkwargss      r5   __call___MetaTensorCallback.__call__+  s     	r7   rO   N)r9  Callable[[], torch.Tensor]r:  z!Unpack[_MetaTensorCallbackKwargs]ro   r=   )r  r  r  r  r;  r  rO   r7   r5   r7  r7  *  s#    ' 4	
 
r7   r7  c                     \ rS rSr% S\S'   S\S'   S\S'   S\S	'   S
\S'   S\S'   \R                  rS\S'   SrS\S'   Sr	S\S'   Sr
S\S'   SrS\S'   SrS\S'   SrS\S'   SrS\S'   SrS\S'   SrS\S'   SrS\S'   SrS\S'   SrS\S'   SrS\S '   SrS\S!'   SrS\S"'   SrS\S#'   SrS\S$'   SrS%\S&'   S'rS\S('   SrS)\S*'   SrS\S+'   SrS\S,'   SrS-\S.'   SrS/\S0'   Sr S/\S1'   Sr!S/\S2'   Sr"S/\S3'   Sr#S/\S4'   Sr$S/\S5'   Sr%S\S6'   Sr&S/\S7'   Sr'S8\S9'   Sr(S:\S;'   Sr)S/\S<'   1 S=kr*S>\S?'   Sr+S@\SA'   Sr,SB\SC'   Sr-SD\SE'   Sr.SF\SG'   Sr/S\SH'   Sr0S\SI'   Sr1SJ\SK'   Sr2SL\SM'   Sr3SL\SN'   SRSO jr4\5SSSP j5       r6SQr7g)Tr9   i4  r   r   r  r   torch.dtyperX   ztorch.devicer   Tuple[int, ...]r   z	List[int]r   torch.layoutr_   Fr	  r\   r@   rZ   r[   r   r   r    r#   r"   rf   r   NzOptional[int]r   r)   r   r]   r^   r   Optional[Tuple[int, ...]]rd   r   re   zOptional[MetaStorageDesc]r   ra   r`   zOptional[bool]rb   zOptional[MetaTensorDesc]r   r   r   r   r   r   r   rh   z#Optional[Dict[str, MetaTensorDesc]]r   zOptional[CreationMeta]r   rI   >
   r   r   r   r   r   r   r   r   r   r   zClassVar[Set[str]]_UNSERIALIZABLEzOptional[object]r   zOptional[Type]r   zOptional[FakeTensorMode]r   zOptional[ViewFunc]r   r   r   zOptional[List[CInterpreter]]r   Optional[torch.Tensor]r   r   c                  ^ SU4S jjm[         R                  " U 5       Vs0 s H  n[        XR                  5      UR                  L a  M'  UR                  S:X  a  [        XR                  5      (       d  MS  UR                  T" UR                  [        XR                  5      5      _M     nnUR                  SU05        U$ s  snf )Nc                  > U S;   a  g U [         R                  ;   a  [        U5      $ [        U[        R
                  [        R                  [        R                  45      (       a  [        U5      $ [        U[        R                  5      (       a  [        U5      $ [        U[        [        45      (       a  U Vs/ s H  nT" X5      PM     sn$ [        U[        [         45      (       a  UR                  $ [        U[        5      (       a  [        U5      $ U S:X  aD  [        U[        5      (       a/  UR!                  5        VVs0 s H  u  p2X2R                  _M     snn$ U$ s  snf s  snnf )N)r   r   r   )r9   rC  r  r3   rq   r   rX   r_   SymInttupler   r   r   r   strdictitems)kvv1k1jsons       r5   rP  $MetaTensorDesc.as_json.<locals>.json  s    22N222Aw!ellEKKFGGAw!U\\**Aw!eT]++./0aQa00!o~>??tt!\**1vG|
1d 3 301	:	fbEE		::H 1 ;s   :E"E'r   r  )rL  rI  rM  objectro   rR  )dataclassesfieldsr   namedefaultupdate)r   r  fieldr   rP  s       @r5   r   MetaTensorDesc.as_json  s    	. %++D1

1jj)U]]: D
 JJ"::#D**5 DEJJUZZzz)BCC1 	
 

 	
.,/0

s   &C(C85Cc                    U R                   $ rL   )r   r   s    r5   rY   MetaTensorDesc.shape  s    yyr7   rO   r  )ro   r@  )8r  r  r  r  r  rq   stridedr_   r\   r@   rZ   r[   r   r   r    r#   r"   rf   r   r   r)   r   r]   r^   r   rd   re   r   ra   r`   rb   r   r   r   r   r   r   r   rh   r   r   rI   rC  r   r   r   r   r   r   r   r   r   r   propertyrY   r  rO   r7   r5   r9   r9   4  s.   
I %% ==FL(L$GTM4ItIt!&$&"d"$)T)"'4'GTIt !%J$*/!4/M4GTFDL$(,F%,NC
 *.G&- $J$#I}##'L.'-1L*1,0K)0-1L*1,0K)0'+F$+*.I'.D-%)D
")15E.5,0M)0%)D
")+O'  !C	 D.*.I'.$(I!(  E=#'M='48O1815.5
 $(D
 '"H  r7   c                `    [        U5      [        R                  La  g U R                  U5        g rL   )r   rq   rr   copy_)dstsrcs     r5   
_safe_copyrc    s     Cy$IIcNr7   c                \    [        U 5      [        R                  La  g U R                  5       $ rL   )r   rq   rr   clone)rb  s    r5   _safe_clonerf    s!    Cy$99;r7   c                     \ rS rSrSS.SS jjrSS jrSS jrSS jrSS jrSS	 jr	SS
 jr
      SS jr\SS j5       r\ S     SS jj5       r\S S j5       r            S!S jr SSSSSS.             S"S jjjrSrg)#MetaConverteri  Fr   c                   [         R                  " 5       U l        [         R                  " 5       U l        SU l        SU l        S U l        SU l        Xl        [        US9U l
        g )Nr   r   )weakrefWeakValueDictionarystorage_memotensor_memohitmissdel_hookarg_cntr   rs   	describerr   s     r5   r   MetaConverter.__init__  s_     '') 	 '') 	 	
 #,yAr7   c                L    U R                   S:  =(       a    U R                  S:H  $ )Nr   )rn  ro  r[  s    r5   
successfulMetaConverter.successful  s    xx!|.		Q.r7   c                N    U R                   R                  UR                  S 5      $ rL   rm  getr   r   s     r5   get_tensor_memoMetaConverter.get_tensor_memo  s    ##ADD$//r7   c                \    U R                   R                  UR                  S 5      nUc   eU$ rL   rx  )r   r4   r   s      r5   _checked_get_tensor_memo&MetaConverter._checked_get_tensor_memo  s-      t,}}r7   c                4    X R                   UR                  '   g rL   )rm  r   )r   r4   rM  s      r5   set_tensor_memoMetaConverter.set_tensor_memo
  s    !"r7   c                N    U R                   R                  UR                  S 5      $ rL   )rl  ry  r   r   s     r5   get_storage_memoMetaConverter.get_storage_memo  s      $$QTT400r7   c                4    X R                   UR                  '   g rL   )rl  r   )r   r   rM  s      r5   set_storage_memoMetaConverter.set_storage_memo  s    "#!$$r7   c                  ^ U R                  T5      =nc  U" U4S j5      R                  5       nU R                  (       ad  [        R                  " 5          [        5          TR                  c   e[        UTR                  R                  5       5        S S S 5        S S S 5        U R                  TU5        U$ U$ ! , (       d  f       N,= f! , (       d  f       N5= f)Nc                 `   > [         R                  " T R                  [         R                  SS9$ NmetarX   r   )rq   emptyr   uint8)r   s   r5   r   ,MetaConverter.meta_storage.<locals>.<lambda>  s    AFF%++fMr7   )
r  r   r   rq   no_gradr(   r   r   re  r  )r   r   callbackmemor_ss    `   r5   meta_storageMetaConverter.meta_storage  s     ))!,,D5Mo  ~~ ]]_km66---%c166<<>: '4_ !!!S)JK '4m__s$   C!4B;C;
C		C
Cc                8    [         R                  " [        U5      $ rL   )typingcastr;   )clsr4   s     r5   _checked_cast_tensor_t$MetaConverter._checked_cast_tensor_t)  s     {{8Q''r7   Nc                .    U R                  U" 5       5      $ rL   )r  )r  r4   r   s      r5   _identity_callable MetaConverter._identity_callable.  s     ))!#..r7   c                    [         R                  R                  R                  SS5      nU" U5      n[        R
                  " [        U5      $ )Nz9Internal error: Tried to backward() through example inputr   )rq   r   
_functionsDelayedErrorr  r  r;   )r  r4   errfnerrs       r5   _backward_errorMetaConverter._backward_error6  s>    ##00G
 Ah{{8S))r7   c                L%  ^ ^^^^^^^ ^!^"^#^$^%^&^'^( [         R                  " TTR                  S9mTc$  SSKJn  U" S[        T R                  5       35      m[        R                  R                  5       R                  [        R                  R                  R                  5      (       a   eT R                  nT =R                  S-  sl        [        R                  m%Tb  TR                   m%T4       S%U4S jjjm(T4       S&U(4S jjjnTT4           S'UU U4S jjjm#          S(U!4S	 jjm!T4       S)U!UU#U%U UU(U4S
 jjjn	T R#                  T5      Gc  Sm[        R$                  " TR&                  5         TR(                  (       Gae  TR*                  n
T" U4S j5      nT R,                  (       al  TR.                  c   e[        R0                  " 5          [3        5          [5        U5      (       d   e[7        TR.                  5      Ul        S S S 5        S S S 5        [;        U5      (       d   S5       eUR=                  [?        TR@                  5      5        TRB                  (       a  SUl!        TRB                  (       aj  U
(       dc  T RE                  URG                  5       5      n[        RH                  " 5          UR=                  [?        TR@                  5      5        S S S 5        GOtGOr[K        TRL                  5      (       Ga  TR*                  n
TRL                  [        RN                  [        RP                  1;   as  TRR                  c   eTRT                  c   eTRV                  c   eTRX                  TRR                  -
  TRT                  -
  nTRV                  RZ                  US-   US-    m"OSm"TRL                  [        R\                  [        RN                  1;   a&  TR^                  c   eTR^                  R`                  m$O%TRb                  c   eTRb                  R`                  m$T" U"U$U4S j5      nT R,                  (       al  TR.                  c   e[        R0                  " 5          [3        5          [5        U5      (       d   e[7        TR.                  5      Ul        S S S 5        S S S 5        [;        U5      (       d   S5       eTRB                  (       a  SUl!        TRB                  (       a  U
(       d  T Re                  U5      nG
OJTRf                  (       a!  TRh                  (       d  SSK5J6n  U" S5        G
OTRn                  (       Gaf  TR*                  n
T(" TT5      u  m&m'nT" U&U'U4S j5      nT R,                  (       a  [        R0                  " 5          [3        5          TRp                  c   eTRr                  c   e[5        U5      (       d   e[        Rt                  " TRp                  TRr                  TR`                  TR                  S9Ul        TR.                  c   e[w        UR8                  TR.                  5        S S S 5        S S S 5        [;        U5      (       d   S5       eTRB                  (       a  SUl!        TRB                  (       a  U
(       d  T Re                  U5      nGOTRx                  (       a7  TRz                  (       a  SSK5J6n  U" S5        S*UU UU UUU4S jjm T " T5      nGOXTR|                  (       a  TR                  R~                  S;  a  TR                  c   eTRx                  (       a   eT R                  TR                  TTTT5      nT RE                  [        R                  " U5      5      n[        R                  " TR                  U5        GOTRz                  (       Ga  TR                  c   eS nT(       a5  Tb2  SSKFJGn  [        TU5      (       d   eTR                  b  TR                  nT R                  TR                  TT[        R                  R                  R                  TS5      U5      n      S+S jn[        R                  R                  [        R                  R                  R                  5      n[        R                  R                  [        R                  R                  R                  S5         UR`                  TR`                  :X  a  OU" UR`                  TR`                  5      (       a&  T RE                  [        R                  " U5      5      nOrU" TR`                  UR`                  5      (       a&  T RE                  [        R                  " U5      5      nO*T RE                  UR                  TR`                  5      5      nTR*                  (       a9  [        R0                  " 5          U	" UT5      nS S S 5        TRB                  Wl!        OTR                  RB                  TRB                  :X  a(  [        RH                  " 5          U	" UT5      nS S S 5        OTRB                  (       d   e[        R0                  " 5          T RE                  UR                  URZ                  5      5      nS S S 5        TRB                  Wl!        [        RH                  " 5          U	" UT5      nS S S 5        TR                  c   e[        R                  R                  R                  WTR                  5        [        R                  R                  [        R                  R                  R                  U5        GOTR*                  n
TR                  (       d"  TR                  (       d  TRx                  (       d  TR                  (       a  [        sS S S 5        $ T(" TTT5      u  m&m'nTRh                  (       a	  T#" TT&T'S9nOT" U&U'U4S j5      nT R,                  (       a  [        R0                  " 5          [3        5          TRp                  c   eTRr                  c   e[5        U5      (       d   e[        Rt                  " TRp                  TRr                  TR`                  TR                  S9Ul        [w        UR8                  TR.                  5        S S S 5        S S S 5        [;        U5      (       d   S5       eTRB                  (       a)  TRB                  Ul!        U
(       d  T Re                  U5      nTR                  nUc   eUR                  T R                  ;  a  URf                  (       d(  URs                  5       T':X  a  UR                  5       U:X  a  T R                  UUR                  5       5        T R,                  (       aS  [5        U5      (       d   eUR8                  c   e[        UR                  5       UR8                  R                  5       5        GODT R                  UTS9n[        R                  " 5       nSS KbJcnJdn  U" U5      nUb  U" U5      n[        R0                  " 5          T%" 5          U   UR                  UUT&T'5        S S S 5        T R,                  (       a  [        R0                  " 5          [3        5          [5        U5      (       d   eUR8                  c   eTRr                  c   eUR8                  R                  [        U5      TR                  TRp                  TRr                  5        S S S 5        S S S 5        S S S 5        S S S 5        TR                  b1  SS!KJLn  T R                  TR                  TTU" TS"5      T5      Wlg        [        R                  R                  WTR                  5        [        R                  R                  UTR                  5        S S S 5        TR                  =(       a    TR                  T:H  n[        [        TWSUS#9  TR                  b9  TR                  Rp                  S:X  a  UR                  5       R                  S5        TR                  (       a  SUlq        TR                  b:  [5        U5      (       d   eUR                  R                  TR                  S$9Ulu        T R                  TU5        T R                  T5      $ ! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN = f! , (       d  f       GN
= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f! [        R                  R                  [        R                  R                  R                  U5        f = f! , (       d  f       GN8= f! , (       d  f       GNB= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN	= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f),Nr   r   )ConstantSource__meta_utils_unknown_tensorr   c           
     4  > U R                   c   eTb  U R                  nUb2  UR                  TL a#  U R                  U R                   U R                  4$ [        U4S jU R                   5       5      n[        U4S jU R                    5       5      nTR                  U R                  5      nTR                  UUU[        U R                  5       Vs/ s H  owU R                  ;   PM     snUUS9$ U R                  U R                   U R                  4$ s  snf )Nc              3  F   >#    U  H  nTR                  U5      v   M     g 7frL   #_maybe_specialize_sym_int_with_hint).0sz	shape_envs     r5   	<genexpr>VMetaConverter.meta_tensor.<locals>.sym_sizes_strides_storage_offset.<locals>.<genexpr>  s&      #"(B "EEbII"(   !c              3  F   >#    U  H  nTR                  U5      v   M     g 7frL   r  )r  sdr  s     r5   r  r    s&      %"*B "EEbII"*r  )symbolic_context)rd   r   r  r   re   rH  r  -_create_symbolic_sizes_strides_storage_offsetranger   r   )	r4   rb  r  r   t_sizet_stridet_storage_offsetdr  s	           r5    sym_sizes_strides_storage_offsetCMetaConverter.meta_tensor.<locals>.sym_sizes_strides_storage_offset|  s    88'''$KK	(Y-@-@I-M FFAHHa.>.>?? # #"#&&# F  % %"#((%  H (1'T'T((($ %RR (@EaffN1a666N)9 S   !*:*:;; Os   Dc                `   > T" XU5      u  nnn[         R                  " UUU R                  SS9$ r  rq   empty_stridedrX   )inner_t	inner_srcr  inner_sizesinner_stridesinner_storage_offsetr  s         r5   empty_create/MetaConverter.meta_tensor.<locals>.empty_create  sA     1EUV	$&&mm	 r7   c                  >^^^ SSK Jm  SSKJm  U R                  c   eU R
                  c   eUb  UOU R                  nUb  UOU R                  nUb  [        UT5      (       d   e              S	UUUU
U4S jjmUc   eT" XX#T	U5      nUR                  U:X  d$   SU R
                   SU SUR                   35       eUR                  5       U:X  d(   SU R
                   SU SUR                  5        35       eU$ )
Nr   
AttrSource)SubclassSymbolicContextc           	     X  > U R                   c  TR                  U TUUU5      $ 0 nU R                   R                  5        H  u  pxS n	Ub^  [        UT5      (       d   eUR                  U   =n
 b8  [        [        R                  R                  R                  R                  U
5      n	T" XW5      n[        R                  " XHR                  S9nT" UUR                  UR                  U	UU5      nXU'   M     U R                   c   eU R                   R#                  X`R$                  X5      $ )Nr  )r   meta_tensorrK  r3   inner_contextsr   rq   fxexperimentalsymbolic_shapesr0   	functoolspartialr   r   rd   r   __tensor_unflatten__r   )r4   
outer_sizeouter_strider  r  sourceinner_tensorsr  meta_tensor_desccurrent_contextcurrent_context_current_sourceinner_callbacknew_empty_tensorr  r  _empty_create_subclassr   r  s                 r5   r  XMetaConverter.meta_tensor.<locals>.empty_create_subclass.<locals>._empty_create_subclass  s?    77?++! (  !#./ggmmo*D&*O'3)*:<STTTT0@0O0OPT0UU,!%& /< % 5 5 E E U U 0/O
 &0%=N%.%6%6 )@)@&N (>((--(//'&&($ +;$'1 />4 vv)))vv22!55* r7   zExpected return value from z.__tensor_unflatten__() to have shape equal to z, but got: z/__tensor_unflatten__() to have stride equal to )r4   r9   r  rB  r  rB  r  ?Optional[torch.fx.experimental.symbolic_shapes.SymbolicContext]r  _MetaTensorCallback[_TensorT]r  torch._guards.Sourcero   r;   )
torch._dynamo.sourcer  %torch.fx.experimental.symbolic_shapesr  r   r   r   rd   r3   rY   )r4   r  r  r  r  subr  r  r  r  r   r  s         @@@r5   empty_create_subclass8MetaConverter.meta_tensor.<locals>.empty_create_subclass  sh    8U77&&&66%%% (2'=166J+7+C<L#+z "90 0  3!353 83#	3 83 -3 3 3j %%%(|xC 99
* -affX 6"",[E* ::<</ -affX 6##/.CJJL>K/
 Jr7   c                  > SSK Jn  SSKJnJnJn  S nU R                  (       a*  U R                  c   eT" U R                  U" US5      X#5      nUR                  /U R                  -  n	U R                  (       av  U R                  c   e0 n
U R                  R                  5        H-  u  p[        U[        5      (       d   eT" X" X5      X#5      X'   M/     U" U	S /U R                  -  U
UUS9nU$ U" U	S /U R                  -  US9nU$ )Nr   r  )
DimDynamicStatelessSymbolicContextr  ri   )dynamic_sizesconstraint_sizesr  tensor_sourceview_base_context)r  r  r  )r  r  r  r  r  r  rf   rh   DYNAMICr   r)   r   rK  r3   rI  )r4   r  r  r  r  r  r  r  r  t_dynamic_sizesr  r  innert_symbolic_contextall_dynamic_symbolic_contexts                 r5   r  ?MetaConverter.meta_tensor.<locals>.all_dynamic_symbolic_context$  s(    8    yyvv)))$@FFJvw7%!
  *112QVV;O..ww***   $%77==?KD%dC0000+Gz&7,N( $3
 &="1&*Vaff_#1"(&7&" &% &>"1&*Vaff_&7&" &%r7   c                  >^^^^ T" UT5      u  p4nUR                   (       dB  [        U 5      (       d2  T" 5          TR                  U R                  X4U5      5      sS S S 5        $ SSKJm  SSKJmJn  SUUUU4S jjn0 mUR                   (       ae  UR                  c   eUR                  c   eT" XUS9nUR                  5       u  pU	 H(  n[        X5      TUR                  U   R                  '   M*     TT4       SUUUU4S jjjnUR                  c   eUR                  R                  XX|5      n[        R                   " U" UR#                  5       U5      5        [        R                   " U" UR%                  5       U5      5        [        R                   " U" UR'                  5       U5      5        U$ ! , (       d  f       GNd= f)	Nr   )EphemeralSource)r  sym_eqc                   >^ SSK Jm  TS L=(       a2    [        TT5      =(       a    [        U4S jTR                   5       5      nU(       d  Tc  U $ T" S5      nTR                  XS S9nTR                  X0US9$ )Nr   )r  c              3  >   >#    U  H  oTR                   L v   M     g 7frL   )STATIC)r  xr  s     r5   r  _MetaConverter.meta_tensor.<locals>.view_from_base.<locals>.symint_visitor_fn.<locals>.<genexpr>  s      8V1Z...8Vs   r  )positive)hintr  )r  r  r3   allr  create_symbolcreate_symintnode)	r   all_static_sizes
sym_sourcesymbolr  r  r  r  r  s	       @r5   r  LMetaConverter.meta_tensor.<locals>.view_from_base.<locals>.symint_visitor_fn  s    L %D0 "#35MN 8H8V8V  ! $y'8H --@A
"000N 226*2UUr7   r  r  c                   > U c  g T
R                   R                  U 5      nT	R                  US 5      nUb  U$ T
R                   R                  U 5      nT" S5      nT
R	                  UUUUT" XVX5      5      $ )Nr   )rr  r   ry  rt   r  )	visited_tr  r  
visited_idfake_visited_tvisited_desctemp_sourcer  r  real_to_fake_mappingr   s          r5   r   LMetaConverter.meta_tensor.<locals>.view_from_base.<locals>.tensor_visitor_fn  s     $ "^^99)D
!5!9!9*d!K!-))#~~==iH ..AB'' 0$9 r7   )r   r  ro   r  )r
  rn   r  8Optional[torch.fx.experimental.symbolic_shapes.ShapeEnv]r  r  ro   rn   )r)   r  
as_stridedr  r  r  r  r  r   r   r   r   r   r   r!  rq   _checkr   rd   re   )rh   r4   r  sizesstridesre   r  r  fake_tr   _r  r   r  r  r  r  r  r  maybe_suppressr   r  r  r  s     `          @@@r5   view_from_base1MetaConverter.meta_tensor.<locals>.view_from_bases  s    0P60,U^ 335d;;
 $%66G &%
 =
V V6 $& ..ww*** vv))) $9g$ "446!D=DV=R()9)9: " :B'''	' 8' ' 'V ;;*** [[&&q0AUF
 LLu56LL9:LL 5 5 7HIMi &%s   !F::
G	c            	        > [         R                  R                  R                  T R                  T R
                  T R                  T R                  [         R                  SS9$ )Nr  )rX   r_   r   )	rq   opsaten_sparse_coo_tensor_with_dimsra   r`   r   rX   rw   rB   s   r5   r   +MetaConverter.meta_tensor.<locals>.<lambda>  sF    		 K KLLKKFF"#''#(#3#3#) !L !r7   z)the callback you passed in doesn't detachT   rO   c                    > [         R                  R                  R                  STR                  TR
                  T TTR                  TR                  SS9$ )Nr   r  )r_   rX   r   )rq   r  r  #_sparse_compressed_tensor_with_dimsr`   rY   r_   rX   )	blocksizeindex_dtyper4   s   r5   r   r   9  sF    		 R RKKGG%'#$88"#''#) !S 	!r7   )unimplementedz;strided nested tensors are not supported by meta conversionc                 F   > [         R                  " T TTR                  SS9$ r  r  r  r  r4   s   r5   r   r   b  s     3 3!7!''&!r7   r  z;view functorch tensors are not supported by meta conversionc           	       >^ ^^ T R                   (       a  T R                  c   eT R                  c   eT R                  c   eT
" T R                  5      nT R                  nT R                  n[        R
                  R                  R                  T R                  5         TR                  [        XU5      5      nS S S 5        U$ T R                  (       GaE  T R                  c   eT R                  c   e[        R                  R                  nU" 5          T
" T R                  5      nS S S 5        T R                  nUT	:X  a  WnOu[        R
                  R                  R                  T R                  5         TR                  [        R                  R
                  R                  WU5      5      nS S S 5        T R                  nT R                   (       a  [#        W5      (       a	  SUl        U$ T R                   (       a  U(       d  TR%                  W5      nW$ T R&                  (       ad  T R                  c   eT R(                  c   eTR+                  T R                  TTTT5      nTR                  [-        UT R(                  5      5      nU$ T R.                  c   eT R0                  mT R.                  mT" UUU 4S j5      nTR2                  (       a  [        R4                  " 5          [7        5          [        R8                  " T R0                  T R.                  T R:                  T R<                  S9Ul        T R@                  c   e[C        UR>                  T R@                  5        S S S 5        S S S 5        U$ U$ ! , (       d  f       W$ = f! , (       d  f       GNo= f! , (       d  f       GN= f! , (       d  f       NP= f! , (       d  f       U$ = f)NTc                 F   > [         R                  " T TTR                  SS9$ r  r  r(  s   r5   r   DMetaConverter.meta_tensor.<locals>._to_fake_tensor.<locals>.<lambda>  s     (;(;$)$+*+''+1	)"r7   r  )"r    r   r   r   rq   r   r   %temporarily_restore_interpreter_stackr   r  r   r"   r   _DisableFuncTorch_wrap_for_gradr@   rZ   rC   r  r   r   r  r   rd   r   r   r  r(   r  rX   r   real_tensorr   rc  )r4   ftlvlr   r   disable_functorchr@   r  r  GRAD_TENSOR_SENTINEL_VALUE_to_fake_tensorr  r   r  r  r  s   `      @@r5   r4  2MetaConverter.meta_tensor.<locals>._to_fake_tensor  s    --#$;;#::#:#$77#66#6#$66#55#5!0!=B"#''C#$66D
 "'!1!1!=!=!c!c ! 1 1" %)$?$?$22S$A%""L  !A 444#$;;#::#:#$77#66#6050J0J-!2!4%4Q[[%A "5"#''C"&@@$&%*%5%5%A%A%g%g$%$5$5&" )-(C(C(-(;(;(J(J2s(S)&A&" '(iiG <??26Z  !Y "#$($8$8$;V  !U __#$;;#::#:#$??#>>#>!%!1!1 ! ) (
 !' 0
"B !% ; ; 7AOO L!A8  !/ $%88#77#7$%FFE&'hhG (!"!A  $~~%*]]_km494G4G()()./gg/0xx	5&AM ,-66+=$=+=$.q}}aff$E 7D_  !qM" "L  !y "5!4&" &"Z 7Dm__  !sI    N N::N$-O8A4N6,O 
N
N!$
N36
O	 O
Or   )r  ri   c                n    [         R                  " U 5      =(       a    [         R                  " U 5      U:H  $ rL   )utilsis_complex_dtypecorresponding_real_dtype)complex_dtype
real_dtypes     r5   	is_c_of_r,MetaConverter.meta_tensor.<locals>.is_c_of_r  s2     "22=A * % > >} M)!*r7   Fr  c                 F   > [         R                  " T TTR                  SS9$ r  r  r(  s   r5   r   r   w  s     E$7$7 % '&'gg'-	%r7   )r  )in_kernel_invocation_managerr   r  rI   rS   )nt_tensor_id)r4   r9   rb  r  r  r  ro   z,Tuple[Tuple[int, ...], Tuple[int, ...], int])r  r9   r  r  r  r  ro   rn   )r4   r9   r  r@  r  r@  r  r  r  zOptional[torch._guards.Source]ro   r;   )
r4   r9   r  r  r  r  r  r  ro   z5torch.fx.experimental.symbolic_shapes.SymbolicContext)rh   r;   r4   r9   r  r  ro   r;   r4   r9   ro   r;   )r:  r?  r;  r?  ro   r	  )xr  r  r   r  r  lenrm  rq   r   _dispatch_tls_local_exclude_sethasDispatchKeyPythonrq  
contextlibnullcontextsuppress_guardsrz  inference_moder\   r[   r@   r   r   r  r(   r6   rf  r/  rC   _coalesced_r	  rb   rZ   r  re  enable_gradr~   r_   r|   r}   ra   r`   r   r   rY   rz   r   rX   r   r  r   r)   torch._dynamo.excr&  r   r   rd   r  rc  r   rf   r   r   r   r  _to_functional_tensor_mirror_autograd_meta_tor   rh   r  r  r3   r  _dynamor  r  &_dispatch_tls_is_dispatch_key_excludedADInplaceOrView'_dispatch_tls_set_dispatch_key_excludedview_as_realview_as_complexviewr   r   _set_creation_metar    r"   r#   NotImplementedr   r   rl  re   r  r   r   r  r2   r?  r   set_r   rI   	_set_conjr]   _set_negr^   r   ru   rR   resize_r   	_is_paramr   r   create_symbolic_nested_intnested_int_memor  r}  ))r   r4   r  r  r  r  r  rq  r  r  r@   r   	batch_dimr&  _storage_offsetr   base_symbolic_contextr  rh   r<  old_excludemidre   r   r  maybe_fake_mgrr?  r   mb_fake_moder  rU   r3  r4  r  r$  r  r%  r  r  r  r  s)   ``````                         @@@@@@@@@@r5   r  MetaConverter.meta_tensorE  so    $$Xahh?>; $-c$2B2B.C-DEF 88;;=AAHH  ''
 
 	
 
 ,,4 -7,B,B &66N !$	<$	<%$	<$	< :$	< $	<V !	#	+		 	 	6 !5;g	g	'g	 *g		g	 3g	 g	 g	Z0	&0	&(0	& P0	& 4	0	&
 C0	&h F	F	F	F	 F	 F	P "*)+&%%ann5;;;iiG
 !	A ~~ vv111"]]_km#21#5#55#5,7,?AM /<_ (??W,WW? MM$q~~"67*.w
 !77	B"..0MM$q~~*>? 100::iiGxxE$4$4e6F6F#GG ||777 {{666 xx333$%FFQ\\$9AKK$G	$%HHNN9q=9q=$Q	$&	xxE$4$4e6F6F#GG ~~999&'nn&:&: ~~999&'nn&:&: 	A ~~ vv111"]]_km#21#5#55#5,7,?AM /<_ (??W,WW?*.w 003[[)H)H @!U [[[iiG
 9FC	' !A
 ~~"]]_km#$66#55#5#$88#77#7#21#5#55#5,1,?,? !-AM $%66#55#5&q}}aff= /<_ (??W,WW?*.w 003++yyC%YU! U!n (*A__o)M;;222 5555 $ 0 0! (!I 3333I>A 2213G3GKYYY 66---,0) %5%A  **:<TUUUU ,==I4D4V4V1++! ,,77H-D'2@K #((("Q"Q,,<<#K HHDD,,<<eE::0 &tzz177;;#'#>#>u?Q?QRV?W#XD&qww

;;#'#>#> % 5 5d ;$D $(#>#>tyy?Q#RD& 99 "'$24$; "1 /0ooAO vv33qF%*%6%6%8(6tQ(?A &9%8 () 6%*]]_*.*E*E(,		$**(=+&C &5 56OO 1%*%6%6%8(6sA(>A &9
  !:::**==aQHH!HH00@@+
  iiG //13J3J2222-S 65^ 9FDTU	&
 661%g %  >>!&+-'(vv'9 9'9'(xx'; ;';'6q'9'9 9'9050C0C$%FFAHHAGGAHH1" !+1==!&& A 3@ (??W,WW?*+//& !% 4 4Q 7A		A=(=tt4#4#44HHJ'1 ! 0 0 2n D --a1B1B1DE>>#21#5#55#5#$==#<<#<- ! 1 1 3Q]]5R5R5T #//H/E* @J?U?U?W
 (;1'='3-I,-WN"]]_n.>!/ !sNE7 K "0#~~%*]]_km+:1+=+=$=+=+,==+D$D+D+,88+?$?+?$%MM$6$6(9#(>()(8(8()()	%&	 7D_	 /?_ 66%? "--! "662(AF ""1aii0!!!QXX.Y 6^ ''QAGG7Q,Q  y!QdiX yy$1)<!!#++A.~~" ||'&q))))$%KK$J$J!" %K %!   A&,,Q//a /<m__$ 10F /<m__@ /<m__h "1 &9%8 &5_
 &9%8 HH!HH00@@+H 3@-` "0 7Dm__	 /?.>__a 65s`  
A AJ*AD5-AD	"AD*B'AJ%AD-6FAJAE-AD? AEC3AJ;AE5B$AE#*AE52JAJC;AG 
AF
AAG
AF'1AG+AF+.AG1
AF=;AAGBAJ)AAJAH(BAH%AH(-FAJAJAI0AH:	%.AI0AI	A6AIAI	AI0$AJ,BAJD	
ADDADD
AD*	D%AJD-
AD<	D7AJD?
AEE	AEE
AE 	EAJE#
AE2E-AE5E5
AF	E?AJF
AF	FAGF
AF(	F#AGF+
AF:	F5AGF=
AG	GAGGAAHHAJH
AH%H AH(H(
AH7	H2AJH:
AI	IAI0I
AIIAI	I
AI-I(AI0I0
AI?I:AJJ
AJ	JAJJ
AJ#T)r  r  r  r   c               n  ^ ^^ Uc  T R                   nOUn[        U[        R                  5      (       a  UR                  R
                  S:X  dN  UR                  (       d=  UR                  5       (       aC  UR                  b6  UR                  R                  (       a  T =R                  S-  sl
        [        $ T =R                  S-  sl        OA[        R                  R                  U5      (       a  T =R                  S-  sl
        [        $ U$ Tc  SnT R                  R!                  XS9mU(       a  Tc   e[#        SU UU4S jS9  [$        R&                  " 5        nUR)                  [        R*                  R,                  R/                  5       5        [1        5       n	U	b7  UR)                  [        R2                  R4                  R7                  5       5        T R9                  TUUTU5      n
S S S 5        [        U5      [        R:                  R<                  L a  SW
l        W
$ ! , (       d  f       N== f)	Nr   r   Fr   describe_sourcec                 h   > T R                   R                  TR                  TR                  5       S.$ )N)r  r   r  )rr  r   rU  )r   r  t_descs   r5   r   (MetaConverter.__call__.<locals>.<lambda>@  s%    $(NN$5$5 ))$kkm%r7   r   T) r  r3   rq   rr   r   r   is_quantizedrg   ri   r[   ro  rX  rn  	overridesis_tensor_likerr  rt   r'   rG  	ExitStackenter_context	_dispatchpythonsuspend_functionalizationr&   r   r   r   r  r   r   r]  )r   r4   r  r  r  r  r   	callback_
exit_stackstr   rk  s   `   `      @r5   r;  MetaConverter.__call__  s    //I I a&& '  !''"5!'':K:K		Q	%%A__++A..IINI!! H>E ///?%%%! !!#z$$U__%;%;%U%U%WX')B~(($$00TTV    A $  7ehh((( AK - $#s   BH&&
H4)rq  r   rp  rr  rn  ro  rl  rm  r  )ro   r	  )r4   r9   ro   rD  rA  )r4   r9   rM  r;   ro   rp   )r   r   ro   r  )r   r   rM  r
  ro   rp   )r   r   r  z0Callable[[Callable[[], torch.Tensor]], _TensorT]ro   r
  )r4   rn   ro   r;   rL   )r4   r=  r   z"Optional[Union[torch.device, str]]ro   r;   )r4   r;   ro   r;   )r4   r9   r  Optional[ShapeEnv]r  r  r  Optional[Source]r  Optional[SymbolicContext]ro   r;   )r4   rn   r  ry  r  z'Optional[_MetaTensorCallback[_TensorT]]r  rz  r  r{  r   r	  ro   r;   )r  r  r  r  r   ru  rz  r}  r  r  r  r  classmethodr  r  r  r  r;  r  rO   r7   r5   rh  rh    sb   ,1 B*/0
#1$ C 
	, ( (  6:/%/ 3/ 
	/ / * *}0}0 &}0 0	}0
 !}0 4}0 
}0D )-\
 =A#'6: \\ &\
 :\ !\ 4\ \ 
\ \r7   rh  )r4   rR  ro   zTypeIs[FakeTensor])r4   #Union[MetaTensorDesc, torch.Tensor]ro   r	  )r4   r8   ro   zOptional[_TensorLikeT])r4   r8   ro   r8   )rP   r:   rQ   r:   ro   rp   )rR   z Callable[[object, object], None]rj   r}  rk   rn   rT   r	  rU   r	  ro   rp   )r4   rR  ro   zTypeGuard[torch.Tensor])r_   rA  ro   r	  )r   zType[_T]r   rR  ro   r:   )rh   r
  ro   r
  )rh   r
  r   r
  ro   rp   )ra  rn   rb  rD  ro   rp   )rb  rn   ro   rD  )g
__future__r   rG  rS  r  r  rF   rj  abcr   r   r   r   r   r	   r
   r   r   r   r   r   r   r   r   r   r   r   typing_extensionsr   r   r   r   r   rq   torch._C._autogradr   torch._C._functorchr   r   r   r   r    r!   r"   r#   r$   r%   r&   torch._loggingr'   torch.utils._mode_utilsr(   torch.utils._python_dispatchr)   torch.utils.weakr*   r+   torch._guardsr,   r2   r-   r.   r  r/   r0   r6   DimListrr   r8   r:   r;   r=   rC   rJ   rM   rR   ru   rx   r~   rc   r   r   r   r   r  r   r   r   r   rs   r   r   r$  r%  r4  r7  r9   rc  rf  rh  torch._prims_common_prims_commonr7  rO   r7   r5   <module>r     s   "        !    $ M L  +    , / F 0 0$H
 P% ~'7FT]:U\\2~U\\TJ!  6/6+6 	6
 6 6 
6tHQ
7
%
%.B%	% -~s+ ~s+ O L L^ $
 
 
 $8wx  8 8& $
(<0 
 
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