
    N j	                      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
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  S SK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
K+J,r,  S SK-J.r.  S SK/J0r0  S SK1J2r2  S SK3J4r4  \(       a$  S SK5J6r6J7r7  S SKJ8r8  S SK9J:r:  S SK;J<r<J=r=  S SK>J?r?J@r@  SHS jrA\BrC\" SS\R                  5      rE\" S5      rF\" S\R                  S9rG\" S\R                  SS9rHSIS jrISJS jrJSKS jrKSLS  jrL\R                  " 5       rNS!\NlO        \SMS" j5       rPS!S!S#.           SNS$ jjrQSOS% jrRSPS& jrSSOS' jrTSOS( jrUSQS) jrVSRS* jrW      SSS+ jrX\" S,\Y5      rZ\" S-\Y5      r[\" S.\Y5      r\\\" S 5      q] " S/ S05      r^\" SS19 " S2 S35      5       r_\" SS19 " S4 S5\\G   5      5       r`\" SS19 " S6 S7\`S8   5      5       ra\" SS19 " S9 S:\`\G   \\G   5      5       rb " S; S<\\\H   5      rc " S= S>\S!S?9rd " S@ SA\\\H   5      re\" SS19 " SB SC\\G   5      5       rfSTSD jrgSUSE jrh " SF SG\\G   5      riS SKjJkrl  g)V    )annotationsN)abstractmethod)AbstractContextManagercontextmanager)	dataclass)
AnyClassVarGenericNewTypeOptionalProtocolTYPE_CHECKING	TypeGuardTypeVarUnion)override	TypedDict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)enable_python_dispatcher)trace_structured)no_dispatch)is_traceable_wrapper_subclass)WeakIdKeyDictionary)Callable	Generator)CInterpreter)Source)
FakeTensorFakeTensorMode)ShapeEnvSymbolicContextc                $    SSK Jn  [        X5      $ )Nr   )r+   )torch._subclasses.fake_tensorr+   
isinstance)tr+   s     m/root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/torch/_subclasses/meta_utils.py_is_fake_tensorr4   =   s    8a$$    _TensorLikeTMetaTensorDesc[Any]_T_TensorT)bound_TensorT_covT)r:   	covariantc                <     U R                   $ ! [         a     gf = f)NF)is_leafRuntimeErrorr2   s    r3   safe_is_leafrA   J   s#    yy s    
c                    [         R                  R                  [         R                  R                  R                  5         U R
                  sS S S 5        $ ! , (       d  f       g = fN)torch_logginghide_warnings	_internalsafe_grad_filtergradr@   s    r3   	safe_gradrJ   R   s8    		%	%enn&>&>&O&O	Pvv 
Q	P	Ps   A
A&c                8    [        U 5      nUc  [        S5      eU$ )Nz3Expected tensor to have a gradient but grad is None)rJ   AssertionError)r2   rI   s     r3   _expect_safe_gradrM   X   s!    Q<D|RSSKr5   c                .    X:w  a  [        U  SU 35      eg )Nz != )rL   )abs     r3   	assert_eqrQ   _   s!    vs$qc]++ r5   Fc               #     #    [        [        SS5      n S[        l         S v   U [        l        g ! U [        l        f = f7f)Ndisable_inference_modeFT)getattrtlsrS   )priors    r3   $disable_inference_mode_for_fake_proprW   k   s4     C159E!%C+%*"U"s   A 0 A =A skip_symbolic	skip_leafc                  ^ ^^^ [        U[        R                  5      (       a  [        5       R	                  U5      OUnSU UUU4S jjmT" X5      $ )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        [        [        SS5      (       d"  T" U R                  UR                  5       5        OT" U R                  S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(                  (       aN  U R,                  c  [/        S5      eUR0                  c  [/        S5      eT" U R,                  UR0                  5        g g )NrS   Fz*m1.base must not be None for a view tensorz+m2._base must not be None for a view tensor)dtypeshaperequires_gradr>   	is_sparserT   rU   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baserL   _base)m1m2rQ   gorZ   rY   s     r3   rq   assert_metadata_eq.<locals>.go   s(   "((BHH%bhh)"""B$4$45bjj"**- 	",,-s4e<<boor'89boou-"**bjjl+"))RYY[)"''%y}D'@A77rww)"-. <<bii+bllBLLN3bmmR]]_5boor'89!"%%bii+bllBLLN3bmmR]]_5 "))RYY[1"++R->->-@Abjj"++-0zz77?()UVV88#()VWW277BHH% r5   )ro   r7   rp   torch.TensorreturnNone)r1   rD   TensorMetaTensorDescriberdescribe_tensor)rQ   ro   rp   rY   rZ   rq   s   `  ``@r3   assert_metadata_eqry   u   sH     b%,,'' 	--b1 (& (&Z b:r5   c                |    [        U [        R                  5      =(       a    U R                  [        R                  L $ rC   )r1   rD   rv   rd   
sparse_coor@   s    r3   is_sparse_coor|      s'    a&G188u7G7G+GGr5   c                    U [         R                  [         R                  [         R                  [         R                  1;   $ rC   )rD   
sparse_csr
sparse_csc
sparse_bsr
sparse_bsc)rd   s    r3   is_sparse_compressed_layoutr      s8    	  r5   c                n    [        U [        R                  5      =(       a    [        U R                  5      $ rC   )r1   rD   rv   r   rd   r@   s    r3   rh   rh      s"    a&P+Fqxx+PPr5   c                <    [        U 5      =(       d    [        U 5      $ rC   )r|   rh   r@   s    r3   is_sparse_anyr      s    63A66r5   c                Z    [        X5      (       d  [        SU  S[        U5       35      eU$ )Nz	expected z	 but got )r1   rL   type)tyobjs     r3   _checked_castr      s.    cyId3i[ABBJr5   c                    U R                   $ rC   real_storage)rm   s    r3   _get_real_storager      s    r5   c                    Xl         g rC   r   )rm   r   s     r3   _set_real_storager      s
     %r5   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)rw      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     r3   __init__MetaTensorDescriber.__init__   sb    #():Q)>?,8O.;A.>0213"(+),r5   c                    XR                   ;  a6  U R                  U R                   U'   [        U R                  S-   5      U l        U R                   U   $ Nr   )r   r   r   r   r2   s     r3   get_tensor_id!MetaTensorDescriber.get_tensor_id   sM    &&&$($7$7Dq!".t/B/BQ/F"GD!!!$$r5   c                    XR                   ;  a6  U R                  U R                   U'   [        U R                  S-   5      U l        U R                   U   $ r   )r   r   r   r   ss     r3   get_storage_id"MetaTensorDescriber.get_storage_id  sM    '''%)%9%9D"#01E1E1I#JD ""1%%r5   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$ )N)r   sizedatadescribe_storagec                 :   > T R                  TR                  5      $ rC   as_jsonr   rr   s   r3   <lambda>6MetaTensorDescriber.describe_storage.<locals>.<lambda>      AIIdgg$6r5   metadata_fn)MetaStorageDescr   r   r   r   r   r#   add)r   r   r   r   s   `  @r3   r   $MetaTensorDescriber.describe_storage	  sv     ""1% nn$
 QTT!5!55"6   $$QTT*r5   Trecurser   c               ^  ^ ^! [        U5      nUR                  5       nUR                  nUR                  nUR                  n[        U5      n	[        U5      n
UR                  n[        U5      n[        U5      n[        U5      n[        R                  " U5      nS nSnU(       da  [        U5      (       dQ  U(       a  U	(       aC  U(       d<  U
(       d5  U(       d.  T R                  UR                  5       US9nUR!                  5       nS nU(       d.  [        U5      (       d  U(       a  U	(       a  UR#                  5       nS nS nS nU(       d  U(       a  T R%                  ['        U5      US9nOU(       a  UR(                  R*                  S;  a  UR                  5       (       a  [-        S5      eU
(       d=  [        R.                  " U5        T R%                  [        R0                  " U5      US9nUnO`[        R2                  R5                  5       nT R%                  [7        UU5      US9n[        R2                  R8                  R;                  5       nS nU
(       a2  [        R8                  R<                  R?                  5        n S S S 5        S nS nS nU	(       ae  [A        US5      (       d  [C        S5      eURE                  5       u  nnU Vs0 s H  nUT R%                  [G        UU5      US9_M      nn[+        U5      nSSK$J%n  [L        RO                  U5      n[G        [P        SS	5      n[S        SC0 S
T RU                  U5      _SU_SU(       a  S	OURW                  5       _SU_SURX                  _SUR[                  5       _SUR\                  _SU_SU_SU
_SU_SU_SU_SU_SUR_                  5       _SURa                  5       _S[c        U[        Rd                  Rf                  5      _SU	_SU_SUU;   a  UU   Rh                  Rk                  5       OS _SU_SU_S UR(                  _S!URm                  5       _S"U_S#U_S$[o        [G        US%[q        5       5      5      _S&[G        US'0 5      _S(UR                  (       d  [s        U5      (       a  URu                  5       OS _S)UR                  (       d  [s        U5      (       a  URw                  5       OS _S*UR                  (       a  URy                  5       OS _S+U(       aM  UR                  [        Rz                  [        R|                  1;   a  T R%                  UR                  5       S	US,9OS _S-U(       aM  UR                  [        Rz                  [        R|                  1;   a  T R%                  UR                  5       S	US,9OS _S.U(       aM  UR                  [        R                  [        R                  1;   a  T R%                  UR                  5       S	US,9OS _S/U(       aM  UR                  [        R                  [        R                  1;   a  T R%                  UR                  5       S	US,9OS _S0U(       a/  [s        U5      (       a  T R%                  UR                  5       S	US,9OS _S1[        U5      =n b  T R%                  U US9OS _S2UR                  5       (       a)  [        R2                  R                  R                  U5      OS _S3U_S4U(       d  U(       a  [        U5      OS _S5U(       a  [        U5      OS _S6U(       a<  UR                  5       (       a'  UR                  b  T R%                  UR                  US9OS _S7[        R                  R                  R                  U5      _S8U_S9U_S:U_S;U_S<U_S=U_S>U_S?T R                  (       a  UOS _6m!U(       aN  T!R                  T R                  ;  a4  [        S@U!U 4SA jSB9  T R                  R                  T!R                  5        T!$ ! , (       d  f       GN= fs  snf )DNr   r   xlalazyzVCannot safely fakify a view because this process drops the view information right now.__tensor_flatten__z>Traceable wrapper subclass must have __tensor_flatten__ method)_tensor_symint_registryrS   Fr   storagera   r>   r_   ndimr]   r`   	is_mkldnnis_functorch_wrappedr   r   r   rk   rb   rc   is_parameterr%   	is_nested
nested_intis_functionalrd   devicer   ri   rj   dynamo_dynamic_indices_dynamo_dynamic_indicesdynamo_hint_overrides_dynamo_hint_overridesrf   re   rg   crow_indicesr   col_indicesccol_indicesrow_indicesvaluesrI   creation_meta	unwrappedlevelbdimrm   	fake_mode	view_funcattrsctxr   functorch_stackautograd_meta_fromcurrent_levelr   rx   c                 :   > T R                  TR                  5      $ rC   r   r   s   r3   r   5MetaTensorDescriber.describe_tensor.<locals>.<lambda>  r   r5   r    )TrA   rl   r`   rd   r   r%   r   r   r   r   r   rD   _is_functional_tensorr   r   untyped_storagerj   ri   rx   r   r   r   r?   _sync_from_functional_tensor_C$_functionalization_reapply_views_tlsr   
_functorchr   pyfunctorch#temporarily_clear_interpreter_stackhasattrrL   r   rT   $torch.nested._internal.nested_tensorr   ViewFuncfrom_tensorrU   MetaTensorDescr   ra   r_   dimr]   rb   rc   r1   nn	Parameternoder   r   listr   rh   rf   re   rg   r~   r   r   r   r   r   r   r   r   rJ   	_autograd_get_creation_metar    r   rn   _subclassesfake_tensormaybe_get_fake_moder   r   r   r#   r   )"r   r2   r   r   r>   rk   r`   rd   r   is_traceable_wrapper_subclass_vr   r   is_batchedtensor_vis_legacy_batchedtensor_vis_gradtrackingtensor_vr   r   rj   ri   r   r   r   reapply_viewsmaybe_functorch_stackr   r   type_v	raw_attrsattrr   r   is_inference_mode_disabledrI   r   s"   `                                @r3   rx   #MetaTensorDescriber.describe_tensor  s:    q/**,KK	KK	*G*J':1=KK	-a0$;A$>!"7":33A6 *622"A $( ++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 $  ,,PPR& S *1233$T  113NIs &%D d**71d+;5*II%   !WFP((+	 &-S2JE%R"!/ j"
!!!$j"
j"
 #=!..BRj"
 	j"

 //j"
 j"
 ''j"
  j"
  j"
  "6!j"
" 0#j"
$ %>%j"
& #:'j"
( )j"
* IIK+j"
, 88:-j"
. $Auxx'9'9:/j"
0 +J1j"
2  3j"
8 // (*//::<;j"
> (?j"
@ Aj"
B 88Cj"
D Ej"
F Gj"
J *Kj"
L $(3Lce(T#UMj"
N #*!-Er"JOj"
R #$++1Ea1H1HdSj"
V (){{6J16M6MakkmSWWj"
X ./[[)dYj"
d qxxE,<,<e>N>N+OO $$Q^^%5uE$Rgj"
n qxxE,<,<e>N>N+OO $$Q]]_e5$Qqj"
x qxxE,<,<e>N>N+OO $$Q^^%5uE$R{j"
B qxxE,<,<e>N>N+OO $$Q]]_e5$QEj"
L 3A66 $$QXXZe$LOj"
V &aL(D5 $$T$7Yj"
^ =>JJLL""55a8d_j"
b  cj"
h &)@  "kj"
n '9"doj"
t qzz||0C $$QWWE$:wj"
z ''33GGJ{j"
|  }j"
@ Aj"
B Cj"
D Ej"
L 2Mj"
N  2Oj"
P (Qj"
R nn$Sj"
V QTT!4!44!6 ##ADD)W SRs   `%`*
`')r   r   r   r   r   r   r   r   Nr   boolrt   ru   )r2   rs   rt   r   )r   torch.UntypedStoragert   r   )r   r  r   r  rt   r   )r2   rs   r   r  r   r  rt   r7   )__name__
__module____qualname____firstlineno____doc__r   r   r   r   rx   __static_attributes__r   r5   r3   rw   rw      st     -2 /%& 9>%15	& 37e]]+/]?C]	] ]r5   rw   )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   r1   r   r  repr)r   r  s     r3   r   MetaStorageDesc.as_json  sF    ''(!+DIIs!;!;DII
 	
 BFdii
 	
r5   r   Nr  r   rt   zdict[str, object])r  r  r  r  __annotations__r   r  r   r5   r3   r   r     s    
I )(
r5   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 rC   r   r   r2   new_basesymint_visitor_fntensor_visitor_fns        r3   applyViewFunc.apply  s     r5   c                `    [        U 5      (       a
  [        5       $ [        U R                  5      $ rC   )r4   _FakeTensorViewFunc_CustomViewFunc_view_func_unsafer@   s    r3   r   ViewFunc.from_tensor  s'    1&(("1#6#677r5   r   NN)
r2   r9   r%  r9   r&  Optional[Callable[[int], int]]r'  ,Optional[Callable[[torch.Tensor], _TensorT]]rt   r9   )r2   rs   rt   zViewFunc[Any])	r  r  r  r  r   r(  staticmethodr   r  r   r5   r3   r   r     sb    
 =AJN  :	
 H 
  8 8r5   r   c                  B    \ rS rSr\  S         SS jj5       rSrg)r+  i  Nc                n    [         R                  R                  R                  R	                  UUUU5      $ rC   )rD   r  r  r+   r-  r$  s        r3   r(  _FakeTensorViewFunc.apply   s5       ,,77II
 	
r5   r   r/  )
r2   rs   r%  rs   r&  r0  r'  z.Optional[Callable[[torch.Tensor], FakeTensor]]rt   r+   )r  r  r  r  r   r(  r  r   r5   r3   r+  r+    sN    
 =ALP

 
 :	

 J
 

 
r5   r+  r+   c                  N    \ rS rSr% S\S'   \  S         SS jj5       rSrg)	r,  i1  zpCallable[[torch.Tensor, Optional[Callable[[int], int]], Optional[Callable[[torch.Tensor], _TensorT]]], _TensorT]funcNc                &    U R                  X#U5      $ rC   )r7  r$  s        r3   r(  _CustomViewFunc.apply<  s     yy6GHHr5   r   r/  )
r2   rs   r%  rs   r&  r0  r'  r1  rt   r9   )r  r  r  r  r!  r   r(  r  r   r5   r3   r,  r,  1  sa      
 =AJNII I :	I
 HI 
I Ir5   r,  c                  *    \ rS rSr      SS jrSrg)_MetaTensorCallbackiM  c                  g rC   r   )r   argr   s      r3   __call___MetaTensorCallback.__call__N  s    r5   r   N)r=  Callable[[], torch.Tensor]r   Union[torch.device, str]rt   r;   r  r  r  r  r>  r  r   r5   r3   r;  r;  M  s    -=U	r5   r;  c                       \ rS rSr% S\S'   Srg)_MetaTensorCallbackKwargsiS  rA  r   r   N)r  r  r  r  r!  r  r   r5   r3   rD  rD  S  s    $$r5   rD  )totalc                  *    \ rS rSr      SS jrSrg)_MetaTensorCallbackOptDevicei[  c                   g rC   r   )r   r=  kwargss      r3   r>  %_MetaTensorCallbackOptDevice.__call__\  s    
 r5   r   N)r=  r@  rI  z!Unpack[_MetaTensorCallbackKwargs]rt   r;   rB  r   r5   r3   rG  rG  [  s#    ' 4	
 
r5   rG  c                     \ rS rSr% S\S'   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$'   SrS\S%'   SrS\S&'   SrS'\S('   S)rS\S*'   SrS+\S,'   SrS \S-'   SrS \S.'   SrS/\S0'   SrS1\S2'   Sr S1\S3'   Sr!S1\S4'   Sr"S1\S5'   Sr#S1\S6'   Sr$S1\S7'   Sr%S \S8'   Sr&S1\S9'   Sr'S:\S;'   Sr(S<\S='   Sr)S1\S>'   1 S?kr*S@\SA'   Sr+SB\SC'   Sr,SD\SE'   Sr-SF\SG'   Sr.SH\SI'   Sr/S \SJ'   Sr0S \SK'   Sr1SL\SM'   Sr2SN\SO'   Sr3SN\SP'   STSQ jr4\5SUSR j5       r6SSr7g)Vr   id  r   r   r  r   torch.dtyper]   ztorch.devicer   tuple[int, ...]r   z	list[int]r   zdict[int, int]r   torch.layoutrd   Fr  ra   r>   r_   r`   r   r   r   r   r   rk   r   NzOptional[int]r   r%   r   rb   rc   r   Optional[tuple[int, ...]]ri   r   rj   zOptional[MetaStorageDesc]r   rf   re   zOptional[bool]rg   zOptional[MetaTensorDesc[Any]]r   r   r   r   r   r   r   rm   z(Optional[dict[str, MetaTensorDesc[Any]]]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[Any]]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$ s  snf s  snnf )N)r   r   r   )r   rP  r  r1   rD   r   r]   rd   SymInttupler   r   r   r   strdictitems)kvv1k1jsons       r3   r]  $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  )rY  rV  rZ  objectrt   r_  )dataclassesfieldsrT   namedefaultupdate)r   r  fieldr   r]  s       @r3   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                   $ rC   )r   r   s    r3   r^   MetaTensorDesc.shape  s    yyr5   r   r   )rt   rM  )8r  r  r  r  r!  rD   stridedrd   ra   r>   r_   r`   r   r   r   r   r   rk   r   r   r%   r   rb   rc   r   ri   rj   r   rf   re   rg   r   r   r   r   r   r   r   rm   r   r   rI   rP  r   r   r   r   r   r   r   r   r   r   propertyr^   r  r   r5   r3   r   r   d  s;   
I %%)) ==FL(L$GTM4ItIt!&$&"d"$)T)"'4'GTIt !%J$*/!4/M4GTFDL$(,F%,NC
 *.G&- $J$#I}##'L.'26L/615K.526L/615K.5,0F)0/3I,3D-*.D
'. 
3  -1M)0*.D
'.+O'  !C	 D.*.I'.)-I&-  E=#'M='48O1815.5
 $(D
 '"H  r5   r   c                `    [        U5      [        R                  La  g U R                  U5        g rC   )r   rD   rv   copy_)dstsrcs     r3   
_safe_copyrp  	  s     Cy$IIcNr5   c                \    [        U 5      [        R                  La  g U R                  5       $ rC   )r   rD   rv   clone)ro  s    r3   _safe_cloners    s!    Cy$99;r5   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   rw   	describerr   s     r3   r   MetaConverter.__init__  s_     '') 	 '') 	 	
 #,yAr5   c                L    U R                   S:  =(       a    U R                  S:H  $ )Nr   )r{  r|  rh  s    r3   
successfulMetaConverter.successful2  s    xx!|.		Q.r5   c                N    U R                   R                  UR                  S 5      $ rC   )rz  getr   r   s     r3   get_tensor_memoMetaConverter.get_tensor_memo5  s    ##ADD$//r5   c                    U R                   R                  UR                  S 5      nUc  [        SUR                   S35      eU$ )NzTensor memo for id z is None)rz  r  r   rL   )r   r2   r   s      r3   _checked_get_tensor_memo&MetaConverter._checked_get_tensor_memo8  sA      t,9 #6qttfH!EFFr5   c                4    X R                   UR                  '   g rC   )rz  r   )r   r2   rZ  s      r3   set_tensor_memoMetaConverter.set_tensor_memo>  s    !"r5   c                N    U R                   R                  UR                  S 5      $ rC   )ry  r  r   r   s     r3   get_storage_memoMetaConverter.get_storage_memoA  s      $$QTT400r5   c                4    X R                   UR                  '   g rC   )ry  r   )r   r   rZ  s      r3   set_storage_memoMetaConverter.set_storage_memoD  s    "#!$$r5   c                  ^ U R                  T5      =nc  U" U4S j5      R                  5       nU R                  (       am  [        R                  " 5          [        5          TR                  c  [        S5      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$ Nmetar]   r   )rD   emptyr   uint8)r   s   r3   r   ,MetaConverter.meta_storage.<locals>.<lambda>P  s    AFF%++fMr5   z.s.data must not be None when copy_data is True)r  r   r   rD   no_gradr$   r   rL   r   rr  r  )r   r   callbackmemor_ss    `   r3   meta_storageMetaConverter.meta_storageG  s     ))!,,D5Mo  ~~ ]]_kmvv~,L  &c166<<>: '4_ !!!S)JK '4m__s$   C!=CC
C	C
C#c                8    [         R                  " [        U5      $ rC   )typingcastr9   )clsr2   s     r3   _checked_cast_tensor_t$MetaConverter._checked_cast_tensor_t`  s     {{8Q''r5   Nc                .    U R                  U" 5       5      $ rC   )r  )r  r2   r   s      r3   _identity_callable MetaConverter._identity_callablee  s     ))!#..r5   c                    [         R                  R                  R                  SS5      nU" U5      n[        R
                  " [        U5      $ )Nz9Internal error: Tried to backward() through example inputr   )rD   r   
_functionsDelayedErrorr  r  r9   )r  r2   errfnerrs       r3   _backward_errorMetaConverter._backward_errorm  s>    ##00G
 Ah{{8S))r5   c                ^(  ^ ^^^^^!^"^#^$^%^&^'^(^)^*^+ [         R                  " UTR                  S9m%Tc$  SSKJn  U" S[        T R                  5       35      mSn[        R                  R                  5       R                  [        R                  R                  R                  5      (       a  [        U5      eT =R                  S-  sl        [        R                   m(Tb  TR"                  m(T4       S<U4S jjjm+T4       S=U+4S jjjnTT4           S>U%U U4S	 jjjm&          S?U#4S
 jjm#T4       S@U#U%U&U(U UU+U4S jjjn	T R%                  T5      Gc  Sm![        R&                  " TR(                  5         TR*                  (       Ga{  TR,                  n
T%" U4S j5      nT R.                  (       a~  TR0                  c  [        S5      e[        R2                  " 5          [5        5          [7        U5      (       d  [        S5      e[9        TR0                  5      Ul        S S S 5        S S S 5        [=        U5      (       d  [        S5      eUR?                  [A        TRB                  5      5        TRD                  (       a  SUl"        TRD                  (       aj  U
(       dc  T RG                  URI                  5       5      n[        RJ                  " 5          UR?                  [A        TRB                  5      5        S S S 5        GOGO[M        TRN                  5      (       GaP  TR,                  n
TRN                  [        RP                  [        RR                  1;   a  TRT                  c  [        S5      eTRV                  c  [        S5      eTRX                  c  [        S5      eTRZ                  TRT                  -
  TRV                  -
  nTRX                  R\                  US-   US-    m$OSm$TRN                  [        R^                  [        RP                  1;   a/  TR`                  c  [        S5      eTR`                  Rb                  m'O.TRd                  c  [        S5      eTRd                  Rb                  m'T%" U$U'U4S j5      nT R.                  (       a~  TR0                  c  [        S5      e[        R2                  " 5          [5        5          [7        U5      (       d  [        S5      e[9        TR0                  5      Ul        S S S 5        S S S 5        [=        U5      (       d  [        S5      eTRD                  (       a  SUl"        TRD                  (       a  U
(       d  T Rg                  U5      nGOPTRh                  (       a+  TRj                  (       d  SSK6J7n  U" S[q        T5      S/ S9  GOTRr                  (       Ga  TR,                  n
T+" TT5      u  m)m*nT%" U)U*U4S j5      nT R.                  (       a  [        R2                  " 5          [5        5          TRt                  c  [        S5      eTRv                  c  [        S 5      e[7        U5      (       d  [        S5      e[        Rx                  " TRt                  TRv                  TRb                  TR                  S!9Ul        TR0                  c  [        S5      e[{        UR:                  TR0                  5        S S S 5        S S S 5        [=        U5      (       d  [        S5      eTRD                  (       a  SUl"        TRD                  (       a  U
(       d  T Rg                  U5      nG	OtTR|                  (       aA  TR~                  (       a  SSK6J7n  U" S"[q        T5      S/ S9  SAU!U"U%U UUU4S# jjm"T"" T5      nG	O"TR                  (       a  TR                  R                  S$;  a  TR                  c  [        S%5      eTR|                  (       a  [        S&5      eT R                  TR                  TT%TT5      nT RG                  [        R                  " U5      5      n[        R                  " TR                  U5        GO\TR~                  (       Ga  TR                  c  [        S'5      eS nT(       aJ  TbG  SS(KHJIn  [        TU5      (       d  [        S)[        T5       35      eTR                  b  TR                  nT R                  TR                  TT%[        R                  R                  R                  TS*5      U5      nSS+KHJOn  U" TU5              SBS, jn[        R                  R                  [        R                  R                  R                  5      n[        R                  R                  [        R                  R                  R                  S-5         URb                  TRb                  :X  a  OU" URb                  TRb                  5      (       a&  T RG                  [        R                  " U5      5      nOrU" TRb                  URb                  5      (       a&  T RG                  [        R                  " U5      5      nO*T RG                  UR                  TRb                  5      5      nTR,                  (       a9  [        R2                  " 5          U	" UT5      nS S S 5        TRD                  Wl"        OTR                  RD                  TRD                  :X  a(  [        RJ                  " 5          U	" UT5      nS S S 5        OTRD                  (       d  [        S.5      e[        R2                  " 5          [        5          T RG                  UR                  UR\                  5      5      nS S S 5        S S S 5        TRD                  Wl"        [        RJ                  " 5          U	" UT5      nS S S 5        TR                  c  [        S/5      e[        R                  R                  R                  WTR                  5        [        R                  R                  [        R                  R                  R                  U5        TR                  UlZ        GO?TR,                  n
TR                  (       d"  TR                  (       d  TR|                  (       d  TR                  (       a  [        sS S S 5        $ T+" TTT5      u  m)m*nTRj                  (       a	  T&" TT)T*S09nOT%" U)U*U4S1 j5      nT R.                  (       a  [        R2                  " 5          [5        5          TRt                  c  [        S5      eTRv                  c  [        S 5      e[7        U5      (       d  [        S5      e[        Rx                  " TRt                  TRv                  TRb                  TR                  S!9Ul        [{        UR:                  TR0                  5        S S S 5        S S S 5        [=        U5      (       d  [        S5      eTRD                  (       a)  TRD                  Ul"        U
(       d  T Rg                  U5      nTR                  nUc  [        S25      eUR                  T R                  ;  a  URh                  (       d(  URw                  5       T*:X  a  UR                  5       U:X  a  T R                  UUR                  5       5        T R.                  (       ae  [7        U5      (       d  [        S5      eUR:                  c  [        S35      e[        UR                  5       UR:                  R                  5       5        GO_T R                  UT%S49n[        R                   " 5       nSS5KgJhnJin  U" U5      nUb  U" U5      n[        R2                  " 5          T(" 5          U   UR                  UUT)T*5        S S S 5        T R.                  (       a  [        R2                  " 5          [5        5          [7        U5      (       d  [        S5      eUR:                  c  [        S35      eTRv                  c  [        S 5      eUR:                  R                  [        U5      TR                  TRt                  TRv                  5        S S S 5        S S S 5        S S S 5        S S S 5        TR                  b1  SS6KJNn  T R                  TR                  TT%U" TS75      T5      Wll        [        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S89  SS9KHJtn   TR                  bC  U " TR                  Rt                  S:H  5      (       a  UR                  5       R                  S5        TR                  (       a  SUlw        TR                  bC  [7        U5      (       d  [        S:5      eUR                  R                  TR                  S;9Ul{        T R                  TU5        T R                  T5      $ ! , (       d  f       GNT= f! , (       d  f       GN^= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN(= f! , (       d  f       GN-= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GNc= f! [        R                  R                  [        R                  R                  R                  U5        f = f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN*= f! , (       d  f       GN4= f! , (       d  f       GN>= f! , (       d  f       GNH= f! , (       d  f       GN= f)CNr   r   )ConstantSource__meta_utils_unknown_tensora   This indicates you set no_dispatch() before calling into this function.  This is an error: we may be creating fake tensors and will perform operations on them which need fake tensor mode to be active.  You will segfault if you are in a no_dispatch() block.r   c           
       >^	 SSK Jm	  U R                  c  [        S5      eT
Gbw  U R                  n[        U	4S jU R                   5       5      =(       d8    [        U	4S jU R                   5       5      =(       d    T	" U R                  5      nUb2  UR                  T
L a#  U R                  U R                  U R                  4$ Ub-  U(       d&  Uc#  U R                  U R                  U R                  4$ [        U
4S jU R                   5       5      n[        U
4S jU R                   5       5      nT
R                  U R                  5      nT
R                  UUU[        U R                  5       Vs/ s H  oU R                  ;   PM     snUUU R                  S9$ U R                  U R                  U R                  4$ s  snf )	Nr   )is_symbolict.stride must not be Nonec              3  4   >#    U  H  nT" U5      v   M     g 7frC   r   ).0szr  s     r3   	<genexpr>VMetaConverter.meta_tensor.<locals>.sym_sizes_strides_storage_offset.<locals>.<genexpr>  s     9&BB&   c              3  4   >#    U  H  nT" U5      v   M     g 7frC   r   )r  sdr  s     r3   r  r    s     >Xr;r??Xr  c              3  F   >#    U  H  nTR                  U5      v   M     g 7frC   #_maybe_specialize_sym_int_with_hint)r  r  	shape_envs     r3   r  r    s&      #"(B "EEbII"(   !c              3  F   >#    U  H  nTR                  U5      v   M     g 7frC   r  )r  r  r  s     r3   r  r    s&      %"*B "EEbII"*r  )symbolic_contexthint_overrides)%torch.fx.experimental.symbolic_shapesr  ri   rL   r   anyr   rj   r  rU  r  -_create_symbolic_sizes_strides_storage_offsetranger   r   r   )r2   ro  r  r   has_symbolict_sizet_stridet_storage_offsetdr  r  s            @r3    sym_sizes_strides_storage_offsetCMetaConverter.meta_tensor.<locals>.sym_sizes_strides_storage_offset  s    Jxx$%@AA$KK	9!&&99 5>QXX>>5"1#3#34 
 (Y-@-@I-M FFAHHa.>.>??)((0FFAHHa.>.>?? # #"#&&# F  % %"#((%  H (1'T'T((($ %RR (@EaffN1a666N)9'('>'> S   !*:*:;; Os   2F?c                `   > T" XU5      u  nnn[         R                  " UUU R                  SS9$ r  rD   empty_stridedr]   )inner_t	inner_srcr  inner_sizesinner_strides_inner_storage_offsetr  s         r3   empty_create/MetaConverter.meta_tensor.<locals>.empty_create  sA     1EUV	%&&mm	 r5   c           	     v  >^^^ SSK Jm  SSKJm  U R                  c  [        S5      eU R                  c  [        S5      eUb  UOU R                  nUb  UOU R                  nUb(  [        UT5      (       d  [        S[        U5       35      e              SUUUU
U4S jjmUc  [        S5      eT" XX#T	U5      nUR                  U:w  a(  [        S	U R                   S
U SUR                   35      eUR                  5       U:w  a,  [        S	U R                   SU SUR                  5        35      eU$ )Nr   
AttrSource)SubclassSymbolicContext%t.attrs must not be None for subclass$t.type must not be None for subclassz.Expected SubclassSymbolicContext or None, got c           	       > U R                   c  TR                  U TUUU5      $ 0 nU R                   R                  5        H  u  pxS n	Ubs  [        UT5      (       d  [	        S[        U5       35      eUR                  U   =n
 b8  [        [        R                  R                  R                  R                  U
5      n	T" XW5      n[        R                  " XHR                  S9nT" UUR                   UR"                  U	UU5      nXU'   M     U R
                  c  [	        S5      eU R
                  R%                  X`R&                  X5      $ )Nz&Expected SubclassSymbolicContext, got r  r  )r   meta_tensorrX  r1   rL   r   inner_contextsr   rD   fxexperimentalsymbolic_shapesr.   	functoolspartialr   r   ri   __tensor_unflatten__r   )r2   
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                 r3   r  XMetaConverter.meta_tensor.<locals>.empty_create_subclass.<locals>._empty_create_subclass(  s_    77?++! (  !#./ggmmo*D&*O'3)*:<STT"0"HN^I_H` a#  1A0O0OPT0UU,!%& /< % 5 5 E E U U 0/O
 &0%=N%.%6%6 )@)@&N (>((--(//'&&($ +;$'7 />: 66>()OPPvv22!55* r5   zsource must not be NonezExpected return value from z.__tensor_unflatten__() to have shape equal to z, but got: z/__tensor_unflatten__() to have stride equal to )r2   r7   r  rO  r  rO  r  ?Optional[torch.fx.experimental.symbolic_shapes.SymbolicContext]r  &_MetaTensorCallbackOptDevice[_TensorT]r  torch._guards.Sourcert   r9   )torch._dynamo.sourcer  r  r  r   rL   r   r   ri   r1   r^   )r2   r  r  r  r  subr  r  r  r  r   r  s         @@@r3   empty_create_subclass8MetaConverter.meta_tensor.<locals>.empty_create_subclass  s    8Uww$%LMMvv~$%KLL (2'=166J+7+C<L+J "95 5 %DTJZE[D\] 7&757 87#	7 A7 -7 7 7r ~$%>??(|xC yyJ&$1!&& :&&0\SYYKI  zz||+$1!&& :''3nK

~O 
 Jr5   c                ^  > SSK Jn  SSKJnJnJn  S nU R                  (       a3  U R                  c  [        S5      eT" U R                  U" US5      X#5      nUR                  /U R                  -  n	U R                  (       a  U R                  c  [        S5      e0 n
U R                  R                  5        HB  u  p[        U[        5      (       d  [        S[!        U5       35      eT" X" X5      X#5      X'   MD     U" U	S /U R                  -  U
UUS9nU$ U" U	S /U R                  -  US	9nU$ )
Nr   r  )
DimDynamicStatelessSymbolicContextr  't.base must not be None for view tensorrn   r  zExpected attr to be str, got )dynamic_sizesconstraint_sizesr  tensor_sourceview_base_context)r  r  r  )r  r  r  r  r  r  rk   rm   rL   DYNAMICr   r%   r   rX  r1   rV  r   )r2   r  r  r  r  r  r  r  r  t_dynamic_sizesr  r  innert_symbolic_contextall_dynamic_symbolic_contexts                 r3   r  ?MetaConverter.meta_tensor.<locals>.all_dynamic_symbolic_context{  sJ    8    yy66>()RSS$@FFJvw7%!
  *112QVV;O..77?()PQQ   $%77==?KD%dC00,;DJ<H  ,Hz&7,N( $3 &="1&*Vaff_#1"(&7&" &% &>"1&*Vaff_&7&" &%r5   c           	     *  >^^^^ [        5          T" UT5      u  p4nUR                  (       dK  [        U 5      (       d;  T" 5          TR                  U R                  X4U5      5      sS S S 5        sS S S 5        $ 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                  (       aw  UR                  c  [        S5      eUR                  c  [        S5      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  [        S	5      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$                  " U" UR+                  5       U5      5        UsS S S 5        $ ! , (       d  f       GN= f! , (       d  f       g = 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  nUTR                   L v   M     g 7frC   )STATIC)r  xr  s     r3   r  _MetaConverter.meta_tensor.<locals>.view_from_base.<locals>.symint_visitor_fn.<locals>.<genexpr>  s#       %C !2!22%Cs   r&  )positive)hintr  )r  r  r1   allr  create_symbolcreate_symintnode)	r   all_static_sizes
sym_sourcesymbolr  r  r  r  r  s	       @r3   r&  LMetaConverter.meta_tensor.<locals>.view_from_base.<locals>.symint_visitor_fn  s    P )4 &'79QR  %5%C%C   % (9+<  "11D!EJ&44QT4RF$66z 7  r5   r  r  r  r  c                   > U c  g T
R                   R                  U 5      nT	R                  U5      nUb  U$ T
R                   R                  U 5      nT" S5      nT
R	                  UUUUT" XVX5      5      $ )Nr'  )r  r   r  rx   r  )	visited_tr  r  
visited_idfake_visited_tvisited_desctemp_sourcer  r  real_to_fake_mappingr   s          r3   r'  LMetaConverter.meta_tensor.<locals>.view_from_base.<locals>.tensor_visitor_fn%  s     !(# "&!=!=i!HJ%9%=%=j%IN%1--#'>>#A#A)#LL #22E"FK++$! #4(y r5   z,t.view_func must not be None for view replay)r   r  rt   r  )r!  rs   r  8Optional[torch.fx.experimental.symbolic_shapes.ShapeEnv]r  r  rt   rs   )r"   r%   r  
as_stridedr  r  r  r  r  r   rL   r   r   rT   r   r   r(  rD   _checkr   ri   rj   )rm   r2   r  sizesstridesrj   r  r&  fake_tr   _r  r'  r  r  r&  r  r  r  maybe_suppressr   r  r  r  s     `          @@@r3   view_from_base1MetaConverter.meta_tensor.<locals>.view_from_base  s    *+3Sv40 779$??
 ()#:: OOENK  *) ,+" A
 < (*$22ww,-TUU vv~,-STT (='(F  &88:HE %AHAV,QWWT]-=-=> !& "GO(+( 	( E( "( (X ;;&()WXX **. VFKKM59:VFMMOW=>VF$9$9$;^LMS ,+ *) ,+s*   5H!G2&	H9E/H2
H	<H
Hc            	        > [         R                  R                  R                  T R                  T R
                  T R                  T R                  [         R                  SS9$ )Nr  )r]   rd   r   )	rD   opsaten_sparse_coo_tensor_with_dimsrf   re   r   r]   r{   r@   s   r3   r   +MetaConverter.meta_tensor.<locals>.<lambda>l  sF    		 K KLLKKFF"#''#(#3#3#) !L !r5   .t.data must not be None when copy_data is TruezExpected r to be a FakeTensorz)the callback you passed in doesn't detachTz5t.sparse_dim must not be None for sparse block layoutz4t.dense_dim must not be None for sparse block layoutz1t.values must not be None for sparse block layout   r   z9t.crow_indices must not be None for sparse csr/bsr layoutz9t.ccol_indices must not be None for sparse csc/bsc layoutc                    > [         R                  R                  R                  STR                  TR
                  T TTR                  TR                  SS9$ )Nr   r  )rd   r]   r   )rD   r4  r5  #_sparse_compressed_tensor_with_dimsre   r^   rd   r]   )	blocksizeindex_dtyper2   s   r3   r   r7    sF    		 R RKKGG%'#$88"#''#) !S 	!r5   )unimplementedz;attempted to apply meta conversion to strided nested tensorzThis is not supported.)gb_typecontextexplanationhintsc                 F   > [         R                  " T TTR                  SS9$ r  r  r+  r,  r2   s   r3   r   r7    s     3 3!7!''&!r5   z.t.size must not be None when copy_data is Truez0t.stride must not be None when copy_data is Truer  z;attempted to apply meta conversion to view functorch tensorc           	     T  >^ ^^ T R                   (       a  T R                  c  [        S5      eT R                  c  [        S5      eT R                  c  [        S5      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$ T R                  (       GaW  T R                  c  [        S5      eT R                  c  [        S5      e[
        R                  R                  nU" 5          T
" T R                  5      nS S S 5        T R                  nUT	:X  a  WnOu[
        R                  R                  R                  T R                  5         TR                  [
        R                  R                  R                  WU5      5      nS S S 5        T R                   nT R"                  (       a  [%        W5      (       a	  SUl        U$ T R"                  (       a  U(       d  TR'                  W5      nW$ T R(                  (       av  T R                  c  [        S5      eT R*                  c  [        S5      eTR-                  T R                  TTTT5      nTR                  [/        UT R*                  5      5      nU$ T R0                  c  [        S	5      eT R2                  mT R0                  mT" UUU 4S
 j5      nTR4                  (       a  [
        R6                  " 5          [9        5          [
        R:                  " T R2                  T R0                  T R<                  T R>                  S9Ul         T RB                  c  [        S5      e[E        UR@                  T RB                  5        S S S 5        S S S 5        U$ U$ ! , (       d  f       W$ = f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       NP= f! , (       d  f       U$ = f)Nz.t.unwrapped must not be None for batchedtensorz*t.level must not be None for batchedtensorz)t.bdim must not be None for batchedtensorz3t.unwrapped must not be None for gradtrackingtensorz/t.level must not be None for gradtrackingtensorT2t.unwrapped must not be None for functional tensorz6t.current_level must not be None for functional tensorr  c                 F   > [         R                  " T TTR                  SS9$ r  r  rD  s   r3   r   DMetaConverter.meta_tensor.<locals>._to_fake_tensor.<locals>.<lambda>r  s     (;(;$)$+*+''+1	)"r5   r  r8  )#r   r   rL   r   r   rD   r   r   %temporarily_restore_interpreter_stackr   r  r   r   r   _DisableFuncTorch_wrap_for_gradr>   r_   rA   r  r   r   r  r   ri   r   r   r  r$   r  r]   r   real_tensorr   rp  )r2   ftlvlr   r   disable_functorchr>   r+  r,  GRAD_TENSOR_SENTINEL_VALUE_to_fake_tensorr  r   r  r  r  s   `      @@r3   rQ  2MetaConverter.meta_tensor.<locals>._to_fake_tensor  s    -- {{2&4$T'" !"  !ww&4$P'" !"  !vv~&4$O'" !" "1!=B"#''C#$66D
 "'!1!1!=!=!c!c ! 1 1" %)$?$?$22S$A%""n  !c 444 {{2&4$Y'" !"  !ww&4$U'" !" 160J0J-!2!4%4Q[[%A "5"#''C"&@@$&%*%5%5%A%A%g%g$%$5$5&" )-(C(C(-(;(;(J(J2s(S)&A&" '(iiG <??26p  !o "#$($8$8$;l  !k __ {{2&4$X'" !"  !6&4$\'" !" "&!1!1 ! ) (
 !' 0
"B !% ; ; 7AOO L!AB  !9  !xx/&45P&Q Q$%FFE&'hhG (!"!A  $~~%*]]_km494G4G()()./gg/0xx	5&AM ()vv~.<,\/* )* %/q}}aff$E 7D_  !qo" "n  !O "5!4&" &"h 7Dm__  !sI   ;OO#':O55P A=P=P
O #
O25
P
P	P
P'r   rF  z0Expected non-functorch wrapped functional tensorr  )r  z'Expected StatelessSymbolicContext, got rn   )compute_unbacked_bindingsc                n    [         R                  " U 5      =(       a    [         R                  " U 5      U:H  $ rC   )utilsis_complex_dtypecorresponding_real_dtype)complex_dtype
real_dtypes     r3   	is_c_of_r,MetaConverter.meta_tensor.<locals>.is_c_of_r  s2     "22=A * % > >} M)!*r5   Fz.t.requires_grad must be True for non-leaf viewz0t.creation_meta must not be None for view tensorr  c                 F   > [         R                  " T TTR                  SS9$ r  r  rD  s   r3   r   r7  G  s     E$7$7 % '&'gg'-	%r5   zt.storage must not be Nonez5r.real_tensor must not be None when copy_data is True)r  )in_kernel_invocation_managerr  r  rI   rX   )guard_or_falsez,Expected r to be a FakeTensor for nested int)nt_tensor_id)r2   r7   ro  r  r  r  rt   z,tuple[tuple[int, ...], tuple[int, ...], int])r  r7   r  r  r  r  rt   rs   )r2   r7   r  rM  r  rM  r  r  r  zOptional[torch._guards.Source]rt   r9   )
r2   r7   r  r  r  r(  r  _MetaTensorCallback[_TensorT]rt   z5torch.fx.experimental.symbolic_shapes.SymbolicContext)rm   r9   r2   r7   r  r(  rt   r9   r2   r7   rt   r9   )rX  rL  rY  rL  rt   r  )~r  r  r   r  r  lenrz  rD   r   _dispatch_tls_local_exclude_sethasDispatchKeyPythonrL   r~  
contextlibnullcontextsuppress_guardsr  inference_modera   r`   r>   r   r   r  r$   r4   rs  rL  rA   _coalesced_r  rg   r_   r  rr  enable_gradr   rd   r   r   rf   re   r   r   r^   r~   r   r]   r   r  r   r%   torch._dynamo.excr>  rV  r   r   ri   r  rp  r   rk   r   r   r   r  _to_functional_tensor_mirror_autograd_meta_tor   rm   r  r  r1   r  _dynamor  r  rS  &_dispatch_tls_is_dispatch_key_excludedADInplaceOrView'_dispatch_tls_set_dispatch_key_excludedview_as_realview_as_complexviewr"   r   r   _set_creation_metafake_devicer   r   r   NotImplementedr   r   ry  rj   r  r   r   r  r0   r]  r  set_r   rI   	_set_conjrb   _set_negrc   r   ry   rQ   r^  resize_r   	_is_paramr   r   create_symbolic_nested_intnested_int_memor  r  ),r   r2   r  	callback_r  r  r  msgr  r0  r>   r   	batch_dimr>  _storage_offsetr   base_symbolic_contextr  rm   rS  rZ  old_excludemidrj   r   r  maybe_fake_mgrr]  r  mb_fake_moder  rZ   r^  rP  rQ  r  r<  r  r  r=  r/  r+  r,  r  s,   ``` ``                           @@@@@@@@@@@r3   r  MetaConverter.meta_tensor|  s    <E;L;Lahh<
 >; $-c$2B2B.C-DEF
R 	 8833599%((:N:N:U:UVV %%4 -7,B,B &66N !5	<"5	<%5	<5	< :5	< 5	<x !	(	+		 	 	6 !5;t	"t	't	 *t		t	 3t	 t	 t	t5	&"5	&(5	& P5	& 4	5	&
 C5	&r P	P	"P	P	 P	 P	d "*)+&%%ann5;;;iiG
 !	A ~~66>"0 P#  #]]_km#21#5#5&45T&U U,7,?AM	 /<_
 (??,G  MM$q~~"67*.w
 !77	B"..0MM$q~~*>? 100::iiGxxE$4$4e6F6F#GG<</"0 W#  ;;."0 V#  88+"0 S#  %&FFQ\\$9AKK$G	$%HHNN9q=9q=$Q	$&	xxE$4$4e6F6F#GG>>1"0 [#  '(nn&:&:>>1"0 [#  '(nn&:&: 	A ~~66>"0 P#  #]]_km#21#5#5&45T&U U,7,?AM	 /<_
 (??,G  *.w 003[[)H)H @ " ] #A$< 	 [[[iiG
 9FC	' !A
 ~~"]]_km vv~&4$T'" !"  !xx/&4$V'" !" $31#5#5&45T&U U,1,?,? !-AM  !vv~&4$T'" !" 'q}}aff=' /<_( (??,G  *.w 003++yyC%$a$'F(@"$	o! o!b (*A__o)M{{*,P  --,N  !% 0 0! (!I 3333I>A 2213G3GKYYY vv~,-VWW,0) %5%A  **:<TUU"0"I$O_J`Ia b#  ,==I4D4V4V1++! ,,77H-D .i>'2@K #((("Q"Q,,<<#K HHDD,,<<eK::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 ()*8(X+& %& &+]]_6N6P*.*E*E(,		$**(=+&C 7Q_ 56OO 1%*%6%6%8(6sA(>A &9
 ??2"0 R#  **==aQHH!HH00@@+ %&HHAM  iiG //13J3J2222-g 65r 9FDTU	&
 661%g %  >>!&+-#$66>*8(X+& %& $%88#3*8(Z+& %& (7q'9'9*8(G+& %& 160C0C$%FFAHHAGGAHH1" !+1==!&& A# 3@& (??,G  *+//& !% 4 4Q 7A		Ay,-IJJtt4#4#44HHJ'1 ! 0 0 2n D --a1B1B1DE>>#21#5#5&45T&U U }}4&4$['" !" . ! 1 1 3Q]]5R5R5T #//H/E, '224 '
 (;1'='3-I,-WN"]]_n.>!/ !sNE7 K "0#~~%*]]_km+:1+=+=.<,K/* )* ()}}'<.<,c/* )* ()xx'7.<,^/* )* %&MM$6$6(9#(>()(8(8()()	%& 7D_	 /?_0 66%?
 "--! "662(AF ""1aii0!!!QXX.o 6t ''QAGG7Q,Q  y!QdiX Myy$		!8K)L)L!!#++A.~~" ||'&q))()WXX$%KK$J$J!" %K %!
   A&,,Q//C /<m__. 10j /<m__R /<m__d "1 &9%8 7Q6P__
 &9%8 HH!HH00@@+N 3@-J "0 7Dm__	 /?.>___ 65s  	A)AP2AJ=6AJ 3AJ;B+AP&%AJ$GAPAK6AJ6AKDAPAK,(CAK0AK,8KAPC;AM
AK>AAM0
AL::AM4AL4?+AL"*AL42.AM 
AM*AAM>B*AP2AAPAN1B0AN	AN1F7APAPAO9AO	(.AO9@AO'	@!BAOB2AO'	B:AO9CAPC
BAPJ 
AJJ
AJJ
AJ!	JAPJ$
AJ3	J.APJ6
AKK AKK
AK	KAPK
AK)K$AK,K,
AK;	K6APK>
AL	LAML
AL	LAML"
AL1L,AL4L4
AM	L>AMM
AM	MAMMAANNAPN
AN.N)AN1N1
AO 	N;APO
AOOAO9O
AO$OAO'	O'
AO6O1AO9O9
APPAPP
AP	PAPP
AP,T)r  r  r  r   c                 ^ ^^ 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$ Tc  SnT R                  R!                  XS9mU(       a  Tc  [#        S5      e[%        SU UU4S jS9  [&        R(                  " 5        nUR+                  [        R,                  R.                  R1                  5       5        [3        5       n	U	b7  UR+                  [        R4                  R6                  R9                  5       5        T R;                  TUUTU5      n
S S S 5        [        U5      [        R<                  R>                  L a  S	W
l         [C        US
S5      (       a)  S	W
l"        [G        US5      (       a  URH                  U
l$        W
$ ! , (       d  f       Nx= f)Nr   r   Fr   z*source must not be None when trace is Truedescribe_sourcec                 `   > T R                   R                  TR                  TR                  S.$ )N)r  r   r  )r  r   rb  )r   r  t_descs   r3   r   (MetaConverter.__call__.<locals>.<lambda>=  s#    $(NN$5$5 ))$kk%r5   r   T
_is_buffer
persistent)%r  r1   rD   rv   r   r   is_quantizedrl   rn   r`   r|  ry  r{  	overridesis_tensor_liker  rx   rL   r#   rg  	ExitStackenter_context	_dispatchpythonsuspend_functionalizationr!   r   r   r   r  r   r   r~  rT   r  r   r  )r   r2   r  r  r  r  r   r  
exit_stackstr   r  s   `   `      @r3   r>  MetaConverter.__call__  s    //I I a&& '  !''"5!'':K:K		Q	%%A__++A..IINI!! H>E ///?~$%QRR! !!#z$$U__%;%;%U%U%WX')B~(($$00TTV    A $  7ehh((( AK 1lE**ALq,'' || = $#s   'BI**
I8)r~  r   r}  r  r{  r|  ry  rz  r  )rt   r  )r2   r7   rt   rQ  ra  )r2   r7   rZ  r9   rt   ru   )r   r   rt   r  )r   r   rZ  r  rt   ru   )r   r   r  z0Callable[[Callable[[], torch.Tensor]], _TensorT]rt   r  )r2   rs   rt   r9   rC   )r2   r@  r   z"Optional[Union[torch.device, str]]rt   r9   )r2   r9   rt   r9   )r2   r7   r  Optional[ShapeEnv]r  r`  r  Optional[Source]r  Optional[SymbolicContext]rt   r9   )r2   rs   r  r  r  z'Optional[_MetaTensorCallback[_TensorT]]r  r  r  r  r   r  rt   r9   )r  r  r  r  r   r  r  r  r  r  r  r  classmethodr  r  r  r  r>  r  r   r5   r3   ru  ru    sb   ,1 B*/0#1$ C 
	2 ( (  6:/%/ 3/ 
	/ / * *@0@0 &@0 1	@0
 !@0 4@0 
@0J$ )-g
 =A#'6: gg &g
 :g !g 4g g 
g gr5   ru  )r2   r_  rt   zTypeIs[FakeTensor])r2   (Union[MetaTensorDesc[Any], torch.Tensor]rt   r  )r2   r6   rt   zOptional[_TensorLikeT])r2   r6   rt   r6   )rO   r8   rP   r8   rt   ru   )rt   zGenerator[None, None, None])rQ   z Callable[[object, object], None]ro   r  rp   rs   rY   r  rZ   r  rt   ru   )r2   r_  rt   zTypeGuard[torch.Tensor])rd   rN  rt   r  )r   ztype[_T]r   r_  rt   r8   )rm   r  rt   r  )rm   r  r   r  rt   ru   )rn  rs   ro  rQ  rt   ru   )ro  rs   rt   rQ  )m
__future__r   rg  r`  r  	threadingr  rw  abcr   r   r   r   r   r	   r
   r   r   r   r   r   r   r   typing_extensionsr   r   r   r   rD   torch._C._autogradr   torch._C._functorchr   r   r   r   r   r   r   r   r   r    r!   torch._dispatch.pythonr"   torch._loggingr#   torch.utils._mode_utilsr$   torch.utils._python_dispatchr%   torch.utils.weakr&   collections.abcr'   r(   r)   torch._guardsr*   r0   r+   r,   r  r-   r.   r4   r   DimListrv   r6   r8   r9   r;   rA   rJ   rM   rQ   localrU   rS   rW   ry   r|   r   rh   r   r   r   r   r  r   r   r   r   rw   r   r   r+  r,  r;  rD  rG  r   rp  rs  ru  torch._prims_common_prims_commonrU  r   r5   r3   <module>r     s   "        = !   B A  +    < + / F 0 30$H
 P% ~'<ellKT]:U\\2~U\\TJ,
 oo #  + +  ;/;0; 	;
 ; ; 
;~HQ
7%
%.B%	% -~s+ ~s+ O T Tn $
 
 
 $8wx  8 8$ $
(<0 
 
$ $Ihx('(*; I I6(GL$9 %	 %8W\-B  $UWX& U UHIGH% IX* $r5   