
    ȅiZ                      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$  S SK5J6r6J7r7  S SKJ8r8  S SK9J:r:  S SK;J<r<J=r=  S SK>J?r?J@r@  SGS jrA\BrC\" SS\R                  5      rE\" S5      rF\" S\R                  S9rG\" S\R                  SS9rHSHS jrISIS jrJSJS jrKSKS  jrL\R                  " 5       rNS!\NlO        \SLS" j5       rPS!S!S#.           SMS$ jjrQSNS% jrRSOS& jrSSNS' jrTSNS( jrUSPS) jrVSQS* jrW      SRS+ 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 S\\G   5      5       rfSSSC jrgSTSD jrh " SE SF\\G   5      riS SKjJkrl  g)U    )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     V/home/james-whalen/.local/lib/python3.13/site-packages/torch/_subclasses/meta_utils.py_is_fake_tensorr4   =   s    8a$$    _TensorLikeTMetaTensorDesc_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                &    [        U 5      nUc   eU$ rC   )rJ   )r2   rI   s     r3   _expect_safe_gradrL   X   s    Q<DKr5   c                &    X:X  d   U  SU 35       eg )Nz !=  )abs     r3   	assert_eqrQ   ^   s    6 aSQC= 6r5   Fc               #     #    [        [        SS5      n S[        l         S v   U [        l        g ! U [        l        f = f7f)Ndisable_inference_modeFT)getattrtlsrS   )priors    r3   $disable_inference_mode_for_fake_proprW   i   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      $ )Nc                b  > T" U R                   UR                   5        T(       d  T" U R                  UR                  5        T" U R                  UR                  5        T(       d  T" U R                  UR                  5        T" U R                  UR                  5        [        [        SS5      (       d"  T" U R                  UR                  5       5        OT" U R                  S5        T" U R                  UR                  5       5        T" U R                  UR                  5       5        T" U R                  S L[        U5      S L5        U R                  b  T" U R                  [        U5      5        U R                  (       a  T" U R                  UR                  5        T" U R                  UR                  5       5        T" U R                  UR                  5       5        T" U R                   UR!                  5       5        g [#        U 5      (       a`  T" U R                  UR                  5        T" U R                  UR                  5       5        T" U R                  UR                  5       5        g T(       dB  T" U R$                  UR%                  5       5        T" U R&                  UR'                  5       5        T" U R(                  UR+                  5       5        U R(                  (       a<  U R,                  c   eUR.                  c   eT" U R,                  UR.                  5        g g )NrS   F)dtypeshaperequires_gradr>   	is_sparserT   rU   is_inferenceis_conjis_negrI   rJ   rL   layout	dense_dim
sparse_dimis_coalescedis_sparse_compressedstridestorage_offsetis_view_is_viewbase_base)m1m2rQ   gorZ   rY   s     r3   rq   assert_metadata_eq.<locals>.go   s   "((BHH%bhh)"""B$4$45bjj"**- 	",,-s4e<<boor'89boou-"**bjjl+"))RYY[)"''%y}D'@A77rww)"-. <<bii+bllBLLN3bmmR]]_5boor'89!"%%bii+bllBLLN3bmmR]]_5 "))RYY[1"++R->->-@Abjj"++-0zzww***xx+++277BHH% r5   )ro   r7   rp   torch.TensorreturnNone)r1   rD   TensorMetaTensorDescriberdescribe_tensor)rQ   ro   rp   rY   rZ   rq   s   `  ``@r3   assert_metadata_eqry   s   sH     b%,,'' 	--b1 && &&V b:r5   c                |    [        U [        R                  5      =(       a    U R                  [        R                  L $ 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      $ rC   )r|   rh   r@   s    r3   is_sparse_anyr      s    63A66r5   c                R    [        X5      (       d   SU  S[        U5       35       eU$ )Nz	expected z	 but got )r1   type)tyobjs     r3   _checked_castr      s.    cD)B4yc DD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   $$QTT*r5   Trecurser   c               L  ^ ^! [        U5      nUR                  5       nUR                  nUR                  nUR                  n[        U5      n	[        U5      n
UR                  n[        U5      n[        U5      n[        U5      n[        R                  " U5      nS nSnU(       da  [        U5      (       dQ  U(       a  U	(       aC  U(       d<  U
(       d5  U(       d.  T R                  UR                  5       US9nUR!                  5       nS nU(       d.  [        U5      (       d  U(       a  U	(       a  UR#                  5       nS nS nS nU(       d  U(       a  T R%                  ['        U5      US9nOU(       a  UR(                  R*                  S;  a  UR                  5       (       a  [-        S5      eU
(       d=  [        R.                  " U5        T R%                  [        R0                  " U5      US9nUnO`[        R2                  R5                  5       nT R%                  [7        UU5      US9n[        R2                  R8                  R;                  5       nS nU
(       a2  [        R8                  R<                  R?                  5        n S S S 5        S nS nS nU	(       a\  [A        US5      (       d   eURC                  5       u  nnU Vs0 s H  nUT R%                  [E        UU5      US9_M      nn[+        U5      nSSK#J$n  [J        RM                  U5      n[E        [N        SS5      n[Q        SB0 S	T RS                  U5      _S
U_SU(       a  SOURU                  5       _SU_SURV                  _SURY                  5       _SURZ                  _SU_SU_SU
_SU_SU_SU_SU_SUR]                  5       _SUR_                  5       _S[a        U[        Rb                  Rd                  5      _SU	_SU_SUU;   a  UU   Rf                  Ri                  5       OS _SU_SU_SUR(                  _S URk                  5       _S!U_S"U_S#[m        [E        US$[o        5       5      5      _S%[E        US&0 5      _S'UR                  (       d  [q        U5      (       a  URs                  5       OS _S(UR                  (       d  [q        U5      (       a  URu                  5       OS _S)UR                  (       a  URw                  5       OS _S*U(       aM  UR                  [        Rx                  [        Rz                  1;   a  T R%                  UR}                  5       SUS+9OS _S,U(       aM  UR                  [        Rx                  [        Rz                  1;   a  T R%                  UR                  5       SUS+9OS _S-U(       aM  UR                  [        R                  [        R                  1;   a  T R%                  UR                  5       SUS+9OS _S.U(       aM  UR                  [        R                  [        R                  1;   a  T R%                  UR                  5       SUS+9OS _S/U(       a/  [q        U5      (       a  T R%                  UR                  5       SUS+9OS _S0[        U5      =n b  T R%                  U US9OS _S1UR                  5       (       a)  [        R2                  R                  R                  U5      OS _S2U_S3U(       d  U(       a  [        U5      OS _S4U(       a  [        U5      OS _S5U(       a<  UR                  5       (       a'  UR                  b  T R%                  UR                  US9OS _S6[        R                  R                  R                  U5      _S7U_S8U_S9U_S:U_S;U_S<U_S=U_S>T R                  (       a  UOS _6m!U(       aN  T!R                  T R                  ;  a4  [        S?U!U 4S@ jSA9  T R                  R                  T!R                  5        T!$ ! , (       d  f       GN= fs  snf )CNr   r   xlalazyzVCannot safely fakify a view because this process drops the view information right now.__tensor_flatten__)_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      $ rC   r   r   s   r3   r   5MetaTensorDescriber.describe_tensor.<locals>.<lambda>  r   r5   r   rN   )SrA   rl   r`   rd   r   r%   r   r   r   r   r   rD   _is_functional_tensorr   r   untyped_storagerj   ri   rx   r   r   r   r?   _sync_from_functional_tensor_C$_functionalization_reapply_views_tlsr   
_functorchr   pyfunctorch#temporarily_clear_interpreter_stackhasattrr   rT   $torch.nested._internal.nested_tensorr   ViewFuncfrom_tensorrU   r7   r   ra   r_   dimr]   rb   rc   r1   nn	Parameternoder   r   listr   rh   rf   re   rg   r~   r   r   r   r   r   r   r   r   rJ   	_autograd_get_creation_metar    r   rn   _subclassesfake_tensormaybe_get_fake_moder   r   r   r#   r   )"r   r2   r   r   r>   rk   r`   rd   r   is_traceable_wrapper_subclass_vr   r   is_batchedtensor_vis_legacy_batchedtensor_vis_gradtrackingtensor_vr   r   rj   ri   r   r   r   reapply_viewsmaybe_functorch_stackr   r   type_v	raw_attrsattrr   r   is_inference_mode_disabledrI   r   s"   `                                @r3   rx   #MetaTensorDescriber.describe_tensor  s.    q/**,KK	KK	*G*J':1=KK	-a0$;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 $  ,,PPR& S *123333113NIs &%D d**71d+;5*II%   !WFP((+	 &-S2JE%R"* j
!!!$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)Q 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__rN   r5   r3   rw   rw      st     -2 /%& 9>%15	& 37eZZ+/Z?CZ	Z Z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   rN   Nr  r   rt   zdict[str, object])r  r  r  r  __annotations__r   r  rN   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   rN   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   rN   NN)
r2   r9   r#  r9   r$  Optional[Callable[[int], int]]r%  ,Optional[Callable[[torch.Tensor], _TensorT]]rt   r9   )r2   rs   rt   r   )	r  r  r  r  r   r&  staticmethodr   r  rN   r5   r3   r   r     sb    
 =AJN  :	
 H 
  8 8r5   r   c                  B    \ rS rSr\  S         SS jj5       rSrg)r)  i  Nc                n    [         R                  R                  R                  R	                  UUUU5      $ rC   )rD   r   r   r+   r+  r"  s        r3   r&  _FakeTensorViewFunc.apply  s5       ,,77II
 	
r5   rN   r-  )
r2   rs   r#  rs   r$  r.  r%  z.Optional[Callable[[torch.Tensor], FakeTensor]]rt   r+   )r  r  r  r  r   r&  r  rN   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*  i)  zpCallable[[torch.Tensor, Optional[Callable[[int], int]], Optional[Callable[[torch.Tensor], _TensorT]]], _TensorT]funcNc                &    U R                  X#U5      $ rC   )r5  r"  s        r3   r&  _CustomViewFunc.apply4  s     yy6GHHr5   rN   r-  )
r2   rs   r#  rs   r$  r.  r%  r/  rt   r9   )r  r  r  r  r  r   r&  r  rN   r5   r3   r*  r*  )  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)_MetaTensorCallbackiE  c                  g rC   rN   )r   argr   s      r3   __call___MetaTensorCallback.__call__F  s    r5   rN   N)r;  Callable[[], torch.Tensor]r   Union[torch.device, str]rt   r;   r  r  r  r  r<  r  rN   r5   r3   r9  r9  E  s    -=U	r5   r9  c                       \ rS rSr% S\S'   Srg)_MetaTensorCallbackKwargsiK  r?  r   rN   N)r  r  r  r  r  r  rN   r5   r3   rB  rB  K  s    $$r5   rB  )totalc                  *    \ rS rSr      SS jrSrg)_MetaTensorCallbackOptDeviceiS  c                   g rC   rN   )r   r;  kwargss      r3   r<  %_MetaTensorCallbackOptDevice.__call__T  s    
 r5   rN   N)r;  r>  rG  z!Unpack[_MetaTensorCallbackKwargs]rt   r;   r@  rN   r5   r3   rE  rE  S  s#    ' 4	
 
r5   rE  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)Vr7   i\  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]r   r   r   r   r   r   r   rm   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$ s  snf s  snnf )N)r   r   r   )r7   rN  r  r1   rD   r   r]   rd   SymInttupler   r   r   r   strdictitems)kvv1k1jsons       r3   r[  $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  )rW  rT  rX  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                   $ rC   )r   r   s    r3   r^   MetaTensorDesc.shape  s    yyr5   rN   r  )rt   rK  )8r  r  r  r  r  rD   stridedrd   ra   r>   r_   r`   r   r   r   r   r   rk   r   r   r%   r   rb   rc   r   ri   rj   r   rf   re   rg   r   r   r   r   r   r   r   rm   r   r   rI   rN  r   r   r   r   r   r   r   r   r   r   propertyr^   r  rN   r5   r3   r7   r7   \  s4   
I %%)) ==FL(L$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
 $(D
 '"H  r5   c                `    [        U5      [        R                  La  g U R                  U5        g rC   )r   rD   rv   copy_)dstsrcs     r3   
_safe_copyrn    s     Cy$IIcNr5   c                \    [        U 5      [        R                  La  g U R                  5       $ rC   )r   rD   rv   clone)rm  s    r3   _safe_clonerq    s!    Cy$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  $ )Nr   )ry  rz  rf  s    r3   
successfulMetaConverter.successful(  s    xx!|.		Q.r5   c                N    U R                   R                  UR                  S 5      $ rC   rx  getr   r   s     r3   get_tensor_memoMetaConverter.get_tensor_memo+  s    ##ADD$//r5   c                \    U R                   R                  UR                  S 5      nUc   eU$ rC   r  )r   r2   r   s      r3   _checked_get_tensor_memo&MetaConverter._checked_get_tensor_memo.  s-      t,}}r5   c                4    X R                   UR                  '   g rC   )rx  r   )r   r2   rX  s      r3   set_tensor_memoMetaConverter.set_tensor_memo3  s    !"r5   c                N    U R                   R                  UR                  S 5      $ rC   )rw  r  r   r   s     r3   get_storage_memoMetaConverter.get_storage_memo6  s      $$QTT400r5   c                4    X R                   UR                  '   g rC   )rw  r   )r   r   rX  s      r3   set_storage_memoMetaConverter.set_storage_memo9  s    "#!$$r5   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$ Nmetar]   r   )rD   emptyr   uint8)r   s   r3   r   ,MetaConverter.meta_storage.<locals>.<lambda>E  s    AFF%++fMr5   )
r  r   r   rD   no_gradr$   r   r   rp  r  )r   r   callbackmemor_ss    `   r3   meta_storageMetaConverter.meta_storage<  s     ))!,,D5Mo  ~~ ]]_km66---%c166<<>: '4_ !!!S)JK '4m__s$   C!4B;C;
C		C
Cc                8    [         R                  " [        U5      $ rC   )typingcastr9   )clsr2   s     r3   _checked_cast_tensor_t$MetaConverter._checked_cast_tensor_tR  s     {{8Q''r5   Nc                .    U R                  U" 5       5      $ rC   )r  )r  r2   r   s      r3   _identity_callable MetaConverter._identity_callableW  s     ))!#..r5   c                    [         R                  R                  R                  SS5      nU" U5      n[        R
                  " [        U5      $ )Nz9Internal error: Tried to backward() through example inputr   )rD   r   
_functionsDelayedErrorr  r  r9   )r  r2   errfnerrs       r3   _backward_errorMetaConverter._backward_error_  s>    ##00G
 Ah{{8S))r5   c                %  ^ ^^^^^ ^!^"^#^$^%^&^'^(^)^* [         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$                  " TR&                  5         TR(                  (       Gae  TR*                  n
T$" 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OGO[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$" U#U&U4S j5      nT R,                  (       al  TR.                  c   e[        R0                  " 5          [3        5          [5        U5      (       d   e[7        TR.                  5      Ul        S S S 5        S S S 5        [;        U5      (       d   S5       eTRB                  (       a  SUl!        TRB                  (       a  U
(       d  T Re                  U5      nG
OTRf                  (       a+  TRh                  (       d  SSK5J6n  U" S[o        T5      S/ S9  G
OFTRp                  (       Gaf  TR*                  n
T*" TT5      u  m(m)nT$" U(U)U4S j5      nT R,                  (       a  [        R0                  " 5          [3        5          TRr                  c   eTRt                  c   e[5        U5      (       d   e[        Rv                  " TRr                  TRt                  TR`                  TR                  S9Ul        TR.                  c   e[y        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Rz                  (       aA  TR|                  (       a  SSK5J6n  U" S[o        T5      S/ S9  S.U U!U$U UUU4S jjm!T!" T5      nGO|TR~                  (       a  TR                  R                  S;  a  TR                  c   eTRz                  (       a   eT R                  TR                  TT$TT5      nT RE                  [        R                  " U5      5      n[        R                  " TR                  U5        GOTR|                  (       Ga  TR                  c   eS nT(       a5  Tb2  SSKGJHn  [        TU5      (       d   eTR                  b  TR                  nT R                  TR                  TT$[        R                  R                  R                  TS5      U5      n      S/S jn[        R                  R                  [        R                  R                  R                  5      n[        R                  R                  [        R                  R                  R                  S5         UR`                  TR`                  :X  a  OU" UR`                  TR`                  5      (       a&  T RE                  [        R                  " U5      5      nOrU" TR`                  UR`                  5      (       a&  T RE                  [        R                  " U5      5      nO*T RE                  UR                  TR`                  5      5      nTR*                  (       a9  [        R0                  " 5          U	" UT5      nS S S 5        TRB                  Wl!        OTR                  RB                  TRB                  :X  a(  [        RH                  " 5          U	" UT5      nS S S 5        OTRB                  (       d   e[        R0                  " 5          [        5          T RE                  UR                  URZ                  5      5      nS S S 5        S S S 5        TRB                  Wl!        [        RH                  " 5          U	" UT5      nS S S 5        TR                  c   e[        R                  R                  R                  WTR                  5        [        R                  R                  [        R                  R                  R                  U5        TR                  UlX        GOTR*                  n
TR                  (       d"  TR                  (       d  TRz                  (       d  TR                  (       a  [        sS S S 5        $ T*" TTT5      u  m(m)nTRh                  (       a	  T%" TT(T)S 9nOT$" U(U)U4S! j5      nT R,                  (       a  [        R0                  " 5          [3        5          TRr                  c   eTRt                  c   e[5        U5      (       d   e[        Rv                  " TRr                  TRt                  TR`                  TR                  S9Ul        [y        UR8                  TR.                  5        S S S 5        S S S 5        [;        U5      (       d   S5       eTRB                  (       a)  TRB                  Ul!        U
(       d  T Re                  U5      nTR                  nUc   eUR                  T R                  ;  a  URf                  (       d(  URu                  5       T):X  a  UR                  5       U:X  a  T R                  UUR                  5       5        T R,                  (       aS  [5        U5      (       d   eUR8                  c   e[        UR                  5       UR8                  R                  5       5        GODT R                  UT$S"9n[        R                  " 5       nSS#KeJfnJgn  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Rt                  c   eUR8                  R                  [        U5      TR                  TRr                  TRt                  5        S S S 5        S S S 5        S S S 5        S S S 5        TR                  b1  SS$KJMn  T R                  TR                  TT$U" TS%5      T5      Wlj        [        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  SS'KGJrn  TR                  bC  U" TR                  Rr                  S:H  5      (       a  UR                  5       R                  S5        TR                  (       a  SUlu        TR                  b:  [5        U5      (       d   eUR                  R                  TR                  S(9Uly        T R                  TU5        T R                  T5      $ ! , (       d  f       GN6= f! , (       d  f       GN@= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN>= f! , (       d  f       GNH= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN"= f! , (       d  f       GN= f! [        R                  R                  [        R                  R                  R                  U5        f = f! , (       d  f       GNZ= f! , (       d  f       GNd= f! , (       d  f       GN= f! , (       d  f       GN!= f! , (       d  f       GN+= f! , (       d  f       GN5= f! , (       d  f       GN?= f! , (       d  f       GN= f)0Nr   r   )ConstantSource__meta_utils_unknown_tensora   This indicates you set no_dispatch() before calling into this function.  This is an error: we may be creating fake tensors and will perform operations on them which need fake tensor mode to be active.  You will segfault if you are in a no_dispatch() block.r   c           
     J  > U R                   c   eTb  U R                  nUb2  UR                  TL a#  U R                  U R                   U R                  4$ [        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U R                  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rC   #_maybe_specialize_sym_int_with_hint).0sz	shape_envs     r3   	<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rC   r  )r  sdr  s     r3   r  r    s&      %"*B "EEbII"*r  )symbolic_contexthint_overrides)ri   r   r  r   rj   rS  r  -_create_symbolic_sizes_strides_storage_offsetranger   r   r   )	r2   rm  r  r   t_sizet_stridet_storage_offsetdr  s	           r3    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  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                  >^^^ 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      $ )Nr  )r   meta_tensorrV  r1   inner_contextsr   rD   fxexperimentalsymbolic_shapesr.   	functoolspartialr   r   ri   r   __tensor_unflatten__r   )r2   
outer_sizeouter_strider  r  sourceinner_tensorsr
  meta_tensor_desccurrent_contextcurrent_context_current_sourceinner_callbacknew_empty_tensorr  r  _empty_create_subclassr   r  s                 r3   r  XMetaConverter.meta_tensor.<locals>.empty_create_subclass.<locals>._empty_create_subclass  s?    77?++! (  !#./ggmmo*D&*O'3)*:<STTTT0@0O0OPT0UU,!%& /< % 5 5 E E U U 0/O
 &0%=N%.%6%6 )@)@&N (>((--(//'&&($ +;$'1 />4 vv)))vv22!55* r5   z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  rM  r  rM  r  ?Optional[torch.fx.experimental.symbolic_shapes.SymbolicContext]r  &_MetaTensorCallbackOptDevice[_TensorT]r  torch._guards.Sourcert   r9   )
torch._dynamo.sourcer  %torch.fx.experimental.symbolic_shapesr  r   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  si    8U77&&&66%%% (2'=166J+7+C<L#+z "90 0  3!353 83#	3 A3 -3 3 3j %%%(|xC 99
* -affX 6"",[E* ::<</ -affX 6##/.CJJL>K/
 Jr5   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$ )Nr   r  )
DimDynamicStatelessSymbolicContextr  rn   )dynamic_sizesconstraint_sizesr  tensor_sourceview_base_context)r  r  r  )r  r  r  r  r  r  rk   rm   DYNAMICr   r%   r   rV  r1   rT  )r2   r  r  r  r  r  r  r  r  t_dynamic_sizesr  r
  innert_symbolic_contextall_dynamic_symbolic_contexts                 r3   r  ?MetaConverter.meta_tensor.<locals>.all_dynamic_symbolic_contextR  s(    8    yyvv)))$@FFJvw7%!
  *112QVV;O..ww***   $%77==?KD%dC0000+Gz&7,N( $3
 &="1&*Vaff_#1"(&7&" &% &>"1&*Vaff_&7&" &%r5   c           	       >^^^^ [        5          T" UT5      u  p4nUR                  (       dK  [        U 5      (       d;  T" 5          TR                  U R                  X4U5      5      sS S S 5        sS S S 5        $ 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                  (       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sS S S 5        $ ! , (       d  f       GNm= f! , (       d  f       g = f)	Nr   )EphemeralSource)r  sym_eqc                   >^ SSK Jm  TS L=(       a2    [        TT5      =(       a    [        U4S jTR                   5       5      nU(       d  Tc  U $ 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  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++$! #4(y r5   )r   r  rt   r  )r  rs   r  8Optional[torch.fx.experimental.symbolic_shapes.ShapeEnv]r  r  rt   rs   )r"   r%   r  
as_stridedr  r  r  r  r  r   r   r   rT   r   r   r&  rD   _checkr   ri   rj   )rm   r2   r  sizesstridesrj   r  r$  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77... 66--- (='(F  &88:HE %AHAV,QWWT]-=-=> !& "GO(+( 	( E( "( (X {{... **. VFKKM59:VFMMOW=>VF$9$9$;^LMM ,+ *) ,+s*   5G)!G&	G)9EG)
G&	!G))
G7c            	        > [         R                  R                  R                  T R                  T R
                  T R                  T R                  [         R                  SS9$ )Nr  )r]   rd   r   )	rD   opsaten_sparse_coo_tensor_with_dimsrf   re   r   r]   r{   r@   s   r3   r   +MetaConverter.meta_tensor.<locals>.<lambda>;  sF    		 K KLLKKFF"#''#(#3#3#) !L !r5   z)the callback you passed in doesn't detachT   rN   c                    > [         R                  R                  R                  STR                  TR
                  T TTR                  TR                  SS9$ )Nr   r  )rd   r]   r   )rD   r)  r*  #_sparse_compressed_tensor_with_dimsre   r^   rd   r]   )	blocksizeindex_dtyper2   s   r3   r   r,  n  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   r,    s     3 3!7!''&!r5   r  z;attempted to apply meta conversion to view functorch tensorc           	       >^ ^^ 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$ r  r  r8  s   r3   r   DMetaConverter.meta_tensor.<locals>._to_fake_tensor.<locals>.<lambda>  s     (;(;$)$+*+''+1	)"r5   r  )"r   r   r   r   rD   r   r   %temporarily_restore_interpreter_stackr   r  r   r   r   _DisableFuncTorch_wrap_for_gradr>   r_   rA   r  r   r   r  r   ri   r   r   r  r$   r  r]   r   real_tensorr   rn  )r2   ftlvlr   r   disable_functorchr>   r   r!  GRAD_TENSOR_SENTINEL_VALUE_to_fake_tensorr  r   r  r  r  s   `      @@r3   rD  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%""N  !C 444#$;;#::#:#$77#66#6050J0J-!2!4%4Q[[%A "5"#''C"&@@$&%*%5%5%A%A%g%g$%$5$5&" )-(C(C(-(;(;(J(J2s(S)&A&" '(iiG <??26\  ![ "#$($8$8$;X  !W __#$;;#::#:#$??#>>#>!%!1!1 ! ) (
 !' 0
"B !% ; ; 7AOO L!A:  !1 $%88#77#7$%FFE&'hhG (!"!A  $~~%*]]_km494G4G()()./gg/0xx	5&AM ,-66+=$=+=$.q}}aff$E 7D_  !qO" "N  !{ "5!4&" &"Z 7Dm__  !sI    N N::N$-O8A4N6,O 
N
N!$
N36
O	 O
Or   )r  rn   c                n    [         R                  " U 5      =(       a    [         R                  " U 5      U:H  $ rC   )utilsis_complex_dtypecorresponding_real_dtype)complex_dtype
real_dtypes     r3   	is_c_of_r,MetaConverter.meta_tensor.<locals>.is_c_of_rA  s2     "22=A * % > >} M)!*r5   Fr  c                 F   > [         R                  " T TTR                  SS9$ r  r  r8  s   r3   r   r,    s     E$7$7 % '&'gg'-	%r5   )r  )in_kernel_invocation_managerr  r  rI   rX   )guard_or_false)nt_tensor_id)r2   r7   rm  r  r  r  rt   z,tuple[tuple[int, ...], tuple[int, ...], int])r  r7   r  r  r  r  rt   rs   )r2   r7   r  rK  r  rK  r  r  r  zOptional[torch._guards.Source]rt   r9   )
r2   r7   r  r  r  r  r  _MetaTensorCallback[_TensorT]rt   z5torch.fx.experimental.symbolic_shapes.SymbolicContext)rm   r9   r2   r7   r  r  rt   r9   r2   r7   rt   r9   )rJ  rJ  rK  rJ  rt   r  )|r  r  r   r  r  lenrx  rD   r   _dispatch_tls_local_exclude_sethasDispatchKeyPythonr|  
contextlibnullcontextsuppress_guardsr  inference_modera   r`   r>   r   r   r  r$   r4   rq  r?  rA   _coalesced_r  rg   r_   r  rp  enable_gradr   rd   r   r   rf   re   r   r   r^   r~   r   r]   r   r  r   r%   torch._dynamo.excr2  rT  r   r   ri   r  rn  r   rk   r   r   r   r  _to_functional_tensor_mirror_autograd_meta_tor   rm   r  r  r1   r  _dynamor  r  &_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   rw  rj   r  r   r   r  r0   rO  r  set_r   rI   	_set_conjrb   _set_negrc   r   ry   rQ   rP  resize_r   	_is_paramr   r   create_symbolic_nested_intnested_int_memor  r  )+r   r2   r  	callback_r  r  r  msgr  r%  r>   r   	batch_dimr2  _storage_offsetr   base_symbolic_contextr  rm   rL  old_excludemidrj   r   r  maybe_fake_mgrrO  r  mb_fake_moder  rZ   rP  rC  rD  r  r0  r  r  r1  r$  r   r!  r  s+   ``` ``                          @@@@@@@@@@@r3   r  MetaConverter.meta_tensorn  s    2;1B1Bahh2
 >; $-c$2B2B.C-DEF
R 	 88;;=AAHH  ''
 
 		 
 	4 -7,B,B &66N !%	<%	<%%	<%	< :%	< %	<X !	#	+		 	 	6 !5;h	h	'h	 *h		h	 3h	 h	 h	\0	&0	&(0	& P0	& 4	0	&
 C0	&h M	M	M	M	 M	 M	^ "*)+&%%ann5;;;iiG
 !	A ~~ vv111"]]_km#21#5#55#5,7,?AM /<_ (??W,WW? MM$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$4e6F6F#GG ~~999&'nn&:&: ~~999&'nn&:&: 	A ~~ vv111"]]_km#21#5#55#5,7,?AM /<_ (??W,WW?*.w 003[[)H)H @ " ] #A$< 	 [[[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%$a$'F(@"$	V! V!p (*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%*]]_6N6P*.*E*E(,		$**(=+&C 7Q_ 56OO 1%*%6%6%8(6sA(>A &9
  !:::**==aQHH!HH00@@+ %&HHAM  iiG //13J3J2222-i 65t 9FDTU	&
 661%g %  >>!&+-'(vv'9 9'9'(xx'; ;';'6q'9'9 9'9050C0C$%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#$==#<<#<- ! 1 1 3Q]]5R5R5T #//H/E, '224 '
 (;1'='3-I,-WN"]]_n.>!/ !sNE7 K "0#~~%*]]_km+:1+=+=$=+=+,==+D$D+D+,88+?$?+?$%MM$6$6(9#(>()(8(8()()	%&	 7D_	 /?_ 66%?
 "--! "662(AF ""1aii0!!!QXX.{ 6@ ''QAGG7Q,Q  y!QdiX Myy$		!8K)L)L!!#++A.~~" ||'&q))))$%KK$J$J!" %K %!
   A&,,Q//S /<m__$ 10F /<m__H /<m__p "1 &9%8 7Q6P__
 &9%8 HH!HH00@@+N 3@-f "0 7Dm__	 /?.>__} 65s~  A AK)%AE0-AEAE%B'AK)%AE01FAK)AF-AF;AFC=AK) AF8B$AF&/AF87JAK)C;AH$
AG
AAH$,
AG61AH$'AH 2+AG.AH %.AH$
AHAAH$(B*AK)AAK)8AI=BAI+AI= FAK)8AK AKAJ	.AKAJ3	A6AJ!AJ3	AKAKBAK)E
AEEAEE
AE-	E(AK)E0
AE?	E:AK)F
AFFAFF
AF#	FAK)F&
AF5F0AF8F8
AG	GAK)G

AG	GAH$G
AG+	G&AH$G.
AG=G8AH H 
AH	H
AH$H
AH!	HAH$H$AAI(I(AK)I+
AI:I5AI=I=
AJ	JAK)J
AJJAKJ!
AJ0J+AJ3	J3
AKJ=AKK
AKKAKK
AK&	K!AK)K)
AK8T)r  r  r  r   c               n  ^ ^^ Uc  T R                   nOUn[        U[        R                  5      (       a  UR                  R
                  S:X  dN  UR                  (       d=  UR                  5       (       aC  UR                  b6  UR                  R                  (       a  T =R                  S-  sl
        [        $ 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
$ ! , (       d  f       N== f)	Nr   r   Fr   describe_sourcec                 `   > T R                   R                  TR                  TR                  S.$ )N)r  r   r  )r}  r   r`  )r   r  t_descs   r3   r   (MetaConverter.__call__.<locals>.<lambda>  s#    $(NN$5$5 ))$kk%r5   r   T) r  r1   rD   rv   r   r   is_quantizedrl   rn   r`   rz  rk  ry  	overridesis_tensor_liker}  rx   r#   rY  	ExitStackenter_context	_dispatchpythonsuspend_functionalizationr!   r   r   r   r  r   r   rp  )r   r2   r  r  r  r  r   rs  
exit_stackstr   r  s   `   `      @r3   r<  MetaConverter.__call__R  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)r|  r   r{  r}  ry  rz  rw  rx  r  )rt   r  )r2   r7   rt   rO  rS  )r2   r7   rX  r9   rt   ru   )r   r   rt   r  )r   r   rX  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]rs  rR  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  rN   r5   r3   rs  rs    sb   ,1 B*/0
#1$ C 
	, ( (  6:/%/ 3/ 
	/ / * *b0b0 &b0 1	b0
 !b0 4b0 
b0N )-^
 =A#'6: ^^ &^
 :^ !^ 4^ ^ 
^ ^r5   rs  )r2   r]  rt   zTypeIs[FakeTensor])r2   #Union[MetaTensorDesc, torch.Tensor]rt   r  )r2   r6   rt   zOptional[_TensorLikeT])r2   r6   rt   r6   )rO   r8   rP   r8   rt   ru   )rt   zGenerator[None, None, None])rQ   z Callable[[object, object], None]ro   r  rp   rs   rY   r  rZ   r  rt   ru   )r2   r]  rt   zTypeGuard[torch.Tensor])rd   rL  rt   r  )r   ztype[_T]r   r]  rt   r8   )rm   r  rt   r  )rm   r  r   r  rt   ru   )rl  rs   rm  rO  rt   ru   )rm  rs   rt   rO  )m
__future__r   rY  r^  r  	threadingr  ru  abcr   r   r   r   r   r	   r
   r   r   r   r   r   r   r   typing_extensionsr   r   r   r   rD   torch._C._autogradr   torch._C._functorchr   r   r   r   r   r   r   r   r   r    r!   torch._dispatch.pythonr"   torch._loggingr#   torch.utils._mode_utilsr$   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   rL   rQ   localrU   rS   rW   ry   r|   r   rh   r   r   r   r   r  r   r   r   r   rw   r   r   r)  r*  r9  rB  rE  r7   rn  rq  rs  torch._prims_common_prims_commonrG  rN   r5   r3   <module>r     s   "        = !   B A  +    < + / F 0 30$H
 P% ~'7FT]:U\\2~U\\TJ! oo #  + +  9/9+9 	9
 9 9 
9zHQ
7
%
%.B%	% -~s+ ~s+ O Q Qh $
 
 
 $8wx  8 8$ $
(<0 
 
$ $Ihx('(*; I I6(GL$9 %	 %8W\-B  $SWX& S SD^GH% ^B% $r5   