
    ȅi5                   <   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rS SK	r	S SK
r
S SKJr  S SKJr  S SKJrJrJrJrJr  S SKrS SKJr  S SKrS SKrS SKrS SKJrJr  S SKJr  S S	KJrJr  S S
K J!r!  S SK"J#r#  S SKJ$r$J%r%  S SK&J'r'J(r(  S SK)J*r*  S SK+J,r,  S SK-J.r.  S SK/J0r0J1r1  S SK2J3r3J4r4J5r5J6r6J7r7J8r8J9r9J:r:  S SK;J<r<  S SK=J>r>  S SK?J@r@  S SKAJBrB  S SKCJDrD  SSKEJFrFJGrGJHrH  SSKIJJrJJKrKJLrLJMrMJNrNJOrOJPrPJQrQ  SSKRJSrSJTrTJUrUJVrV  SSKWJXrX  SSKGJYrYJZrZJ[r[J\r\J]r]J^r^J_r_J`r`JaraJbrbJcrcJdrdJere  SSKfJgrgJhrhJiriJjrjJkrkJlrlJmrmJnrnJoroJprpJqrqJrrr  SSKsJtrt  SS KuJvrv  SS!KwJxrx  SS"KyJzrzJ{r{J|r|J}r}J~r~JrJrJrJrJrJrJrJr  SS#KJrJr  \(       a=  S S$KJrJrJrJr  S S%KJr  S S&KJr  S S'KJr  S S(KJr  SS)KJr  SS*KJr  SS+KJr  \\\L4   rS S,KJr  \GR>                  " \5      r\GRD                  GRG                  \S-5      r\GRJ                  GRL                  r\GRN                  " 5       r\FGRR                  " 5       (       a  S S.KJr  OS:S/ jrS;S0 jrS<S1 jr      S=S2 jrS>S3 jr    S?S4 jr      S@S5 jr " S6 S7\GRd                  GRf                  5      r " S8 S9\5      rg)A    )annotationsN)defaultdict)contextmanager)AnyNoReturnOptionalTYPE_CHECKINGUnion)Expr)deviceTensor)get_decompositions)defakedynamo_timed)FakeScriptObject)get_layout_constraint_tag)
LazyStringtrace_structured)compute_required_storage_lengthmake_channels_last_strides_for)
FakeTensor)full_aoti_runtime_assert)BackwardState)magic_methodsmethod_to_operator)_get_placeholder_exprfree_unbacked_symbolshas_free_symbolsresolve_unbacked_bindingsRuntimeAssertShapeEnvSympyBooleanSymTypes)Node)_is_view_op)no_dispatch)
OrderedSet)int_oo   )configirmetrics)BackendFeatureDeviceOpOverridesFileBackedGraphModuleget_backend_featuresget_device_op_overridesget_wrapper_codegen_for_deviceinit_backend_registrationWorkspaceArg)CppWrapperCodegenErrorLoweringExceptionMissingOperatorWithDecompMissingOperatorWithoutDecomp)count_flops_fx)assign_origin_nodeConstantDonatedBufferFixedLayoutget_device_typeGraphPartitionSignatureInputBuffer	Pointwise	ReductionShapeAsConstantBuffer
StorageBox	TensorBoxTorchBindObject)constrain_to_fake_tensorsconstrain_to_fx_stridesFALLBACK_ALLOW_LISTfallback_handler%fallback_node_due_to_unsupported_type	loweringsmake_fallbackmaybe_layout_constraintsneeds_realized_inputsrequire_contiguoustag_to_layout_constraintunsupported_output_tensor)autotune_cache)AutotuneCacheBundler)SizeVarAllocator)convert_shape_to_inductorgather_origins get_cloned_parameter_buffer_nameget_donated_idxsget_sympy_Expr_dtypeGraphPartitionMapis_same_tensor#maybe_get_suppress_shape_guards_ctxnormalize_nameshould_assume_input_alignedshould_fallback_by_defaultSUPPORTED_MKLDNN_DEVICESValueWithLineMap)NullHandlerV)CallableIterableIteratorSequence)
ModuleType)_EffectType)GraphModule)Graph)PythonWrapperCodegen)Dep)BaseSchedulerNode)output_code_log
perf_hints)log_module_codec                     g N )argskwargss     O/home/james-whalen/.local/lib/python3.13/site-packages/torch/_inductor/graph.pyrr   rr      s        c                   [        U [        R                  [        R                  [        R                  R
                  R                  45      (       d   S5       e[        U [        R                  R
                  R                  5      (       a  [        R                  $ [        U [        R                  5      (       a  [        U 5      $ U R                  (       a  [        R                  $ U R                  (       a  [        R                  $ g )Nzgget_constant_buffer_dtype only supports input of sympy.Symbol, sympy.Expr or sympy.core.numbers.Integer)
isinstancesympySymbolr   corenumbersIntegertorchint64rZ   
is_integeris_floatfloat32)constant_buffers    rx   may_get_constant_buffer_dtyper      s    %,,

EJJ4F4F4N4NO   	r 
 /5::#5#5#=#=>>{{/5::..#O44!!{{		!	!}}ry   c                6    [        S [         5       5      nX;   $ )Nc              3  8   #    U  H  n[        U5      v   M     g 7frt   )r   ).0ms     rx   	<genexpr>"is_magic_method.<locals>.<genexpr>   s     H-Q-a00-s   )r'   r   )op	magic_opss     rx   is_magic_methodr      s    H-HHI?ry   c           	         UR                  S5      nU n[        U5       H@  u  pE[        X55      (       d   [        SSR	                  US U 5       35      e[        X55      nMB     U$ )N.z#Node referenced nonexistent target )split	enumeratehasattrRuntimeErrorjoingetattr)objtargettarget_atomsattr_itriatoms         rx   getattr_recursiver      sn     <<$LH\*x&&5chh|BQ?O6P5QR  8* + Ory   c                n   0 nU R                  SS9S   nSUR                  ;  a  U$ [        UR                  S   [        R
                  R                  5      (       d  UR                  S   nOUR                  n[        U5       H-  u  pEXBR                  S   ;   d  M  UR                  S   U   X'   M/     U$ )Noutputr   r   user_visible_output_idxsoriginal_output_strides)
find_nodesmetar{   rv   r   fxr$   r   )gretoutput_nodeoutput_node_argsidxnodes         rx   get_user_visible_output_stridesr      s    ')C,,(,+A.K!)9)99
k&&q)588==99&++A.&++/0	""#=>>#(()BCCHCI 1 Jry   c                   0 U En/ UR                  5       Qn[        / UQ5      nU(       a  UR                  5       n[        UR                  5      (       a  UR
                  (       a~  [        UR
                  S   [        R                  R                  5      (       aH  UR
                  S   nXS;  a4  UR                  US5        UR                  U5        UR                  U5        U(       a  M  U$ )z[
Extend user_visible_output_strides to include view ops that lead to user-visible outputs.
r   N)keysr'   popr%   r   rv   r{   r   r   r$   
setdefaultaddappend)user_visible_outputsresultqueuevisitedcurrentbases         rx   "extend_user_visible_output_stridesr      s     ":$8!9FfkkmE5"G
))+''7<<?EHHMM::<<?D"!!$-D!T" % Mry   c                z   [         R                  (       d  g[        U5      n[        [        R
                  [        R                  [        R                  /5      n[        [        R                  [        R                  [        R                  [        R                  [        R                  [        R                  [        R                  [        R                  [        R                   [        R"                  [        R$                  [        R&                  /5      n    SS jn[)        U R*                  5       GH  n[-        UR.                  [0        R2                  R4                  R6                  5      (       a  SUR8                  S'   MR  [-        UR.                  [0        R:                  R<                  5      (       aL  [?        UR.                  5      [0        R@                  RB                  RD                  :X  a  SUR8                  S'   M  U" U5      nU(       d  M  Xs;   a  SUR8                  S'   UR8                  RG                  SS5      (       a:  URH                   H*  nU" U5      n	U	(       d  M  X;  d  M  SUR8                  S'   M,     [         RJ                  (       a  GMi  Xb;   d  GMq  SUR8                  S'   GM     g)ar  
Nodes like convolution/convolution_backward want its input to be dense.
If we pad their inputs, we result in extra calls to copy kernels!  On the other hand, padding usually helps reduction.

The pass finds nodes that dislike padding. These are nodes that can be reached
from a convolution/convolution_backward in the backward direction without
going thru a reduction.
Nc                    U R                   S:X  ad  [        U R                  [        R                  R
                  5      (       a1  [        U R                  S5      (       a  U R                  R                  $ S $ )Ncall_function_overloadpacket)r   r{   r   r   _ops
OpOverloadr   r   )r   s    rx   _get_overload_packet8mark_nodes_dislike_padding.<locals>._get_overload_packet  s[    
 ww/)4;;

(=(=>>%677	 KK''	
 	
ry   Tdislike_paddingF)r   torch.fx.Nodereturnz%Optional[torch._ops.OpOverloadPacket])&r*   comprehensive_paddingr   r'   atenconvolutionconvolution_backward
_scaled_mmvar_meansummeanprodanyaminamaxminmaxargminargmaxscatter_reducereversednodesr{   r   r   _higher_order_opstriton_kernel_wrapTritonKernelWrapperMutationr   r   r   r   _CTagneeds_exact_stridesgetall_input_nodespad_outputs)
r   user_visible_output_stridesextended_user_visible_nodesops_dislike_paddingops_like_paddingr   curr   priorprior_ops
             rx   mark_nodes_dislike_paddingr      s    ''"D## %%%OO	
 "MMHHIIIIHHIIIIHHHHKKKK	
"



	.

  JJ##66RR
 
 +/CHH&' szz5::#8#899)#**5xx||//0 +/CHH&'!#&$*.CHH&'88<<)511,,/6348EJJ01 - !!!c&H*.CHH&'A !ry   c                  x  ^  \ rS rSr% S\S'                    SF                                     SGU 4S jjjrSHS jr    SIS jr    SJS	 jr    SKS
 jr	    SLS jr
      SMS jrSNSOS jjrSPS jr\R                  SQS j5       rSRS jr\SSS j5       rSTS jr        SUS jrSVS jrSWS jrSXS jr\SYS j5       r    SZS jrS[S jr    S\S jrS]S jrS^S jrS_U 4S jjr S`S jr!SS.SaS  jjr"SbS! jr#    ScS" jr$SWS# jr%SdS$ jr&      SeS% jr' Sf     SgS& jjr(ShS' jr)        SiU 4S( jjr*SjU 4S) jjr+\SkS* j5       r,        SlS+ jr-SmS, jr.SmS- jr/        SnU 4S. jjr0SHS/ jr1\SoS0 j5       r2\SpS1 j5       r3            SqS2 jr4SrU 4S3 jjr5      SsS4 jr6SHS5 jr7    St         SuS6 jjr8    SvS7 jr9  SwS8 jr:SHS9 jr;SwS: jr<SxS; jr=  SyS< jr>Sr?S=\S>'   SzS? jr@SzS@ jrA    S{SA jrBS|SB jrCS}SC jrDS~SD jrESErFU =rG$ )GraphLoweringiB  list[ir.IRNode]graph_outputsNFc                  > [         TU ]  U5        X l        Ub  UOU R                  XS9U l        SU l        Xl        Xl        Xl        Xl	        Xl
        Xl        UU l        SU l        Uc  [        5       nSU l        OSU l        X0l        UR"                  R%                  5       U l        [(        [*        R,                     " 5       U l        [1        U5      U l        / U l        0 U l        0 U l        S U l        [)        5       U l        U(       a  UR>                  O	[)        5       U l        U(       a  UR@                  O	[)        5       U l         SU l!        [E        [(        5      U l#        [E        [(        5      U l$        0 U l%        / U l&        / U l'        U(       a  UO0 U l(        U(       a  [)        URS                  5       5      O	[)        5       U l*        U(       a  URV                  O0 U l+        U(       a  URX                  O0 U l,        URZ                  R]                  S[)        5       5      U l/        U(       a  UR`                  O0 U l0        0 U l1        0 U l2        0 U l3        0 U l4        [)        5       U l5        [)        5       U l6        [)        5       U l7        [)        5       U l8        [)        5       U l9        [)        5       U l:        S U l;        S U l<        SSK=J>n  [~        R                  " 5       (       a	  U(       a  UOUU lA        S U lB        0 U lC        [)        5       U lD        / U lE        0 U lF        [E        [        5      U lH        0 U lI        [        R                  " 5       U lK        UU lL        XPlM        UU lN        XPlO        0 U lP        X`lQ        X@lR        [        [        5      U lU        S U lV        S U lW        S U lX        S U lY        S U lZ        U R                  (       a  U R                  5       O	[)        5       U l\        [)        S/5      U l]        [        UR                  5      U l`        [        UR                  U R                  5        S	U lb        S	U lc        / U ld        S U le        0 U lf        UR                  5       U lh        U R                  RY                  5        H  u  nnUU RX                  U'   M     U R                  Ra                  5        H  u  nnUU R`                  U'   M     U R                  RZ                  R]                  S
0 5      U lj        Ub  UR                  O0 U lk        [        5         [        R                  " S 5      " [        5      U lo        0 U lp        [)        5       U lq        [)        5       U lr        [)        5       U ls        [)        5       U lt        [)        5       U lu        [        R                  " 5       U lx        SU ly        [        5       U l{        0 U l|        g )N)is_inferencer   FTcpumutated_named_buffers)extern_node_json_serializerzaten.convolution_backward  dynamo_flat_name_to_original_fqn)}super__init__example_inputsdecide_layout_opt
layout_optnum_channels_last_convr   is_backwardis_const_graphconst_wrapper_codeconst_kernel_codeconst_moduleinputs_to_checkextra_tracebackr!   reuse_shape_env
_shape_envdeferred_runtime_assertscopyras_by_symbolr'   r|   r}   bound_unbacked_symbolsrU   sizevarsgraph_input_namesgraph_inputsgraph_inputs_originalpartition_mapszero_dim_cpu_tensor_listdevice_typesdevice_idxsdevice_typer   additional_buffer_depsadditional_star_depsbuffer_to_padded_sizebuffers
operationsconst_output_indexr   folded_constants	constantsnamed_buffersr   r   r   named_parameterstorchbind_constantsopaque_value_type_classesseen_subgraphsconstant_reprsremoved_operationsremoved_buffersremoved_inplace_buffersmutated_buffersnever_reuse_buffersinplaced_to_remove
device_opswrapper_code&torch._inductor.extern_node_serializerr   r*   	is_fbcodeextern_node_serializercurrent_nodelistsmutated_inputsmutated_input_idxsname_to_bufferlistname_to_users
name_to_optimecreation_timenamecpp_wrapper
fx_wrapperrecord_multi_kernel_choicemulti_kernel_to_choiceaot_modegraph_idnext_post_grad_graph_counterpost_grad_graph_id	schedulerautotuning_inputsautotuning_mappingautotuning_gridscurrent_devicefind_nodes_prefer_channels_lastnodes_prefer_channels_last_warned_fallbackr   graphr   r   	cache_key
cache_pathcache_linemapdisable_cudagraphs_reasondevice_node_mapping__copy__orig_gmmoduler   allocated_constant_namer3   	functools	lru_cacher0   effectful_opsunaligned_buffersno_fuse_buffer_nameslow_precision_codegen_opsinvoke_quant_opsall_codegen_kernel_names	itertoolscountworkspace_idplaceholder_idxrY   bw_donated_idxsdep_size_hint_cache)selfgmr   	shape_envr<  r7  r;  r   r+  r   r   r   r  r   r   r  r6  r  r8  r   kv	__class__s                         rx   r   GraphLowering.__init__E  s   . 	, % '''F 	
 '(#(&,"4!2(.$ 
I#(D #'D # ..335 	 '1&>&@#(3,.VX=?"AE9C%)5L%%:< 	 )5L$$*, 	 !BMC
# ALJ@W! <>"(*.0"4" 	
 " )..01 	 '3L"" 	 +7L&&B 	 @Bww{{#Z\@
" .:L))r 	
  	  ;=&68.03=<0:8B$0:4>L 3=<-126V !!&< #, 	# ,0+-
/9|-/46@KD@Q35!YY[	&$
 +6'68#  "&'?"@>B @DGK:> 7; 7;ooD002:< 	' !+,G+H I+J288+T("288T-M-MN !  	 9=& GI -/[[]LL..0DAq$%Dq! 1LL113DAq'(D!!!$ 4040@0@0D0D.1
- 5A4LL00RT 	$ 	"#$-$7$7$=>R$S!;= 3=,5?\!:D,&1; :D% &OO-  "/1 AC ry   c                8    U R                   R                  5         g rt   )r  freeze_runtime_assertsr`  s    rx   rh  $GraphLowering.freeze_runtime_asserts  s    ..0ry   c                Z   U R                   (       a2  [        UR                  5       5      [        UR                  5       5      4$ SSKJn  U" S[        U R                  R                  5       35      nU R                  R                  UU5      u  nnnU Vs/ s H:  n[        U[        R                  5      (       a  UR                  R                  OUPM<     nnU Vs/ s H:  n[        U[        R                  5      (       a  UR                  R                  OUPM<     n	nX4$ s  snf s  snf )z
Support dynamic shapes and dynamic strides by assigning variables
to each dimension.  We duck-shape tensors, so if two tensors
have the same size they get assigned the same symbolic variable.
r   )ConstantSource__inductor_unknown_tensor_)r  rV   sizestridetorch._dynamo.sourcerl  lenr  
var_to_val,create_symbolic_sizes_strides_storage_offsetr{   r   SymIntr   expr)
r`  exrl  sourcern  ro  _r   r_sizer_strides
             rx   symbolic_sizes_strides$GraphLowering.symbolic_sizes_strides  s    ,RWWY79R		:   < $,S1K1K-L,MNF LL	 NRRTAu||!<!<!&&++!CTROUVv!:a#>#>AFFKKAEvV SVs   AD#AD(c                    UR                  5        Vs/ s H  n[        R                  " U5      PM     nnUR                  5        Vs/ s H  n[        R                  " U5      PM     nnX44$ s  snf s  snf )z
Primarily used to weights
)rn  r|   r   ro  )r`  rv  r   rn  ro  s        rx   static_sizes_strides"GraphLowering.static_sizes_strides<  sZ     +-'')4)Qa )4,.IIK8Kq%--"K8| 58s    A, A1c                r   [        U[        R                  5      (       a  UR                  n[        U[        R                  5      (       a  UR                  n[        U[        R
                  5      (       a3  UR                  U R                  ;   a  U R                  UR                     $ UR                  5       $ rt   )	r{   r+   rE   datarD   ComputedBufferr6  r  get_size)r`  r   s     rx   get_allocation_size!GraphLowering.get_allocation_sizeF  s     dBLL))99DdBMM**99DtR..//		T777 --dii88==?"ry   c                    UR                  5       nU R                  U5      nUR                  nUR                  n[	        X4U5      $ rt   )
get_layoutr  ro  offsetr   )r`  r   layoutrn  ro  r  s         rx   get_allocation_storage_size)GraphLowering.get_allocation_storage_sizeY  s?     "''-.tVDDry   c                r    [        U[        5      (       d   U5       eX R                  [        U5      5      ;   $ rt   )r{   r-   r0   r>   )r`  r   features      rx   has_featureGraphLowering.has_featureb  s5    
 '>22;G;233OF4KLLLry   c                   X4U R                   ;  aO  Sn UR                  5       (       d(  U(       a  UR                  5       nOUR                  5       nX0R                   X4'   U R                   X4   $ ! [         a     N+f = f)zS
Get the size hint for a dependency with caching to avoid expensive recomputation.
r   )r_  has_unbacked_symbolsnumbytes_hint
numel_hintKeyError)r`  depcount_bytesress       rx   get_dep_size_hintGraphLowering.get_dep_size_hintj  s     T%=%==C
//11"!//1!nn. <?$$c%78''(:;;   	s   ,A1 A1 1
A>=A>c                B    U R                   =n(       a  U$ [        S5      e)NzNo current device)rD  r   r`  r   s     rx   get_current_device_or_throw)GraphLowering.get_current_device_or_throw~  s$    (((6(M233ry   c              #  \   #    U R                   nXl          S v   X l         g ! X l         f = f7frt   )rD  )r`  r   r   s      rx   set_current_device GraphLowering.set_current_device  s*     ##$	("'%s   ,! ,),c                L    U R                   (       a  gU R                  (       a  gg)N	inferencebackwardforward)r   r   ri  s    rx   get_training_phase GraphLowering.get_training_phase  s    ry   c                  [         R                  (       d  g[         R                  (       a  gU R                  R                   Vs/ s HA  o"R
                  [        R                  R                  R                  R                  L d  M?  UPMC     nn[        U5      nUS:X  a  g[        R                  R                  R                  (       aE  [        R                  R                  R                  5       (       a  [!        S U 5       5      (       a  g[        [#        U R                  R                  5      5      SU-  :  a  [$        R'                  S5        g[)        S U 5       5      (       a  [$        R'                  S5        gSS	 jnSS
 jnSS jnU(       a  [+        [,        5      nU HQ  n	[/        U	5      n
U
c  M  U" U	5      (       a  SnO"U" U	5      (       a  SnOU" U	5      (       a  SnOSnX==   U
-  ss'   MS     [$        R'                  S5        SnSnSnSn[1        UR3                  5       5      nUS   U-  US   U-  -   US   U-  -   US   U-  -   nUU:*  nU(       d  [$        R'                  SUU5        U$ [)        [5        XS5      5      (       a  [$        R'                  S5        g[)        [5        Xc5      5      (       a  [$        R'                  S5        g[!        [5        Xs5      5      (       a  [$        R'                  S5        ggs  snf )zT
Decide if we should enable layout optimization for this graph based on
heuristics.
FTr   c              3     #    U  HF  nS   H<  nUR                   U   R                  S   R                  R                  [        ;   v   M>     MH     g7f)r   r)   valN)rv   r   r   typera   r   nr   s      rx   r   2GraphLowering.decide_layout_opt.<locals>.<genexpr>  sJ      #A!C s  '..337OO! P#s   AAi,  z*Skipped layout opt because only a few convc              3     #    U  H4  nS   H*  n[        UR                  U   R                  S   5      v   M,     M6     g7fr  )r   rv   r   r  s      rx   r   r    s?      
 QVVC[--e455 6s   <>zeSee perf regression with dynamic shape. Follow up in https://github.com/pytorch/pytorch/issues/102670c                    U R                   S   R                  S   n[        U[        R                  5      (       d   eU R                   S   S:  =(       a    UR                  S5      S:  $ )Nr)   r  r   )rv   r   r{   r   r   rn  )r  meta_vals     rx   
is_grouped3GraphLowering.decide_layout_opt.<locals>.is_grouped  sT    vvay~~e,Hh555566":>:hmmA&6&::ry   c                    U R                   S   R                  S   R                  S5      S-  U R                   S   R                  S   R                  S5      :*  =(       a.    U R                   S   R                  S   R                  S5      S:  $ )Nr)   r  r      rv   r   rn  r  s    rx   is_in_out_channel:GraphLowering.decide_layout_opt.<locals>.is_in_out_channel  sv    q	u%**1-1QVVAY^^E5J5O5OPQ5RR 6FF1INN5)..q1A5ry   c                    U R                   S   R                  S   R                  S5      S:*  =(       a.    U R                   S   R                  S   R                  S5      S:*  $ )Nr)   r  r   @   r  r  s    rx   is_small_channel9GraphLowering.decide_layout_opt.<locals>.is_small_channel  sT    q	u%**1-3 8FF1INN5)..q1R7ry   groupedsmallin_outdefaultzConv inputs meta not foundg|?5^?gtV?g333333?guV?zhSkipped layout opt in inference because weighted flops indicate slowdown, default: %d, channels last: %dzFSkip layout opt because found grouped convolution with >1 in_channels!zBSkip layout opt because some convolutions have smaller out_channelz>Skip layout opt because all convolution channels are too small)r  r   r   bool)r  r   r   r  )r*   layout_optimizationforce_layout_optimizationrH  r   r   r   opsr   r   r  rq  backendsmkldnnenabledis_availableallr1  logdebugr   r   floatr9   r   valuesmap)ra  r   r  
conv_nodesnconvr  r  r  flop_countsr   counted_flops	node_typeGROUPED_MULTIPLIERDEFAULT_MULTIPLIERIN_OUT_MULTIPLIERSMALL_MULTIPLIERtotal_flopsweighted_flopsdo_layout_opts                      rx   r   GraphLowering.decide_layout_opt  s    ))++ xx~~
%!UYY^^5O5O5W5W)WA~ 	 
 JA: NN!!))%%2244 #   
 tBHHNN#$e3IIBC 

 
 

 IIw 	;
		 ,7,>K" .t 4 (d## )I%d++ 'I&t,, (I )I&-7& #  		67
 "'!& %$k0023K I&);;g&)99:h'*;;< i(+==>  +k9M 		~"
 ! & s:*++IIX  s$122IIT  s#011IIVW]
s   >L	L	c                B    U R                   b  U R                    SU 3$ U$ )z2Prepend the given name with the graph name if any.rx  )r6  r`  r6  s     rx   qualify_nameGraphLowering.qualify_name0  s&    99 ii[$((ry   c                    [        U UUU R                  U R                  U R                  U R                  U R
                  U R                  U R                  U5      S9
$ )a  
Make a subgraph of the current graph with all inherited parts, except
the graph module (`gm`) and `example_inputs`.  The subgraphs are lowered
separately and lifted into a separate function in the parent output
wrapper code.  The subgraph name is qualified by the parent graph's
name. Note that the lifting of subgraph is supported for python wrapper
only. For cpp wrapper, we inline the subgraphs in the parent wrapper.
)
parentra  r   rb  r7  r;  r+  r   r   r6  )SubgraphLoweringr  r7  r;  r+  r   r   r  )r`  ra  r   subgraph_names       rx   make_subgraphGraphLowering.make_subgraph6  sZ      )oo((]]#'#>#>**((""=1
 	
ry   c                   Sn[         R                  R                  R                  R                  /n[
        [           " 5       n[        U R                  R                  R                  5       H  nUR                  [         R                  R                  R                  R                  L a  UR                  U5        Uc  UnMV  UR                  U;   a  Mh  UR                   H  nXS;   d  M
  UR                  U5          M     M     U R                  R                  R                   HK  nUb  XA:X  a    U$ XC;   d  M  UR                   H&  nUR                  U;   a  M  UR                  U5        M(     MM     U$ )a  
The rule to decide if an node prefer channels last is simple.
1. if it's input/output of a convolution
2. if one of its user prefers channels last

We have rule 1 because cudnn runs a faster convolution kernel for channels last inputs;
Rule 2 is also important. It makes sure that indirect inputs to convolution also prefers
channels last.

Consider the scenario: conv -> batch-norm -> relu -> conv
Without rule 2, batch-norm output may use a contiguous layout. That will cause 2 extra copies:
1. the output of batch-norm should be channels last initially since its input is a conv's output.
   Forcing the batch-norm's output to be contiguous results in the first copy
2. The second conv's input is initially contiguous. This layout is propagated from the batch-norm's output.
   We need convert it to channels last layout which results in the second copy.
With rule 2, we makes sure all the tensors in the chain uses channels last layout. So both copies
can be saved.
N)r   r  r   bmmr  r'   r$   r   rP  rH  r   r   r   r   users)r`  	last_convnodes_cannot_propagate
output_setr  users         rx   rE  -GraphLowering.find_nodes_prefer_channels_lastQ  s)   & 	"')).."4"4"<"<!=%'
$++++112Axx599>>55===q!$ !Ixx11%NN1%   36 ""((A$  GGD{{&<< NN4( $ ) ry   c                    XR                   ;  a2  U R                   R                  U5        [        R                  SU5        g g )NzUsing FallbackKernel: %s)rG  r   perf_hint_loginfor  s     rx   warn_fallbackGraphLowering.warn_fallback  s8    ,,,!!%%d+94@ -ry   c                `   U R                   R                  UR                  5        UR                  b%  U R                  R                  UR                  5        [
        R                  R                  (       a8  XR                  ;  a(  [
        R                  R                  U R                  U'   g g g rt   )	r  r   r  indexr  rd   rH  r,  rM  r  s     rx   add_device_infoGraphLowering.add_device_info  sw    fkk*<<#  .77F2J2J$J/0ww/C/CD$$V, %Kry   c                "    [         R                  $ rt   )rd   	fake_moderi  s    rx   r  GraphLowering.fake_mode  s    {{ry   c           	        XR                   ;   a  U R                   U   $ XR                  ;   a  U R                  U   $ XR                  ;   ay  [        R                  R                  U   n[
        R                  " U[
        R                  " UR                  UR                  /[        R                  R                  U5      Q76 S9$ g Nr6  r  )r0  r  r  rd   rH  r+   ConstantBufferr=   r   dtyper~  )r`  buffer_namer  s      rx   try_get_bufferGraphLowering.try_get_buffer  s     ---&&{33+++$$[11..(77$$[1D$$ ~~KK./gg.J.J4.P  ry   c                    [        S5      e)Nz'Should not be called for the main graph)r   )r`  symbols     rx   add_symbol_graph_input$GraphLowering.add_symbol_graph_input  s    DEEry   c                J    U R                  U5      nUb  U$ [        SU 35      e)Nz$Failed to find buffer matching name )r  r   r`  r   bufs      rx   
get_bufferGraphLowering.get_buffer  s1     !!+.?JA+OPPry   c                   XR                   ;   a  U R                   U   R                  $ [        U R                  S5      (       a  XR                  R                  ;   aq  U R                  R                  U   nX R
                  ;   a  U R
                  U   R                  5       $ X R                  ;   a  U R                  U   R                  5       $ XR
                  ;   a  U R
                  U   R                  5       $ XR                  ;   a  U R                  U   R                  5       $ [        R                  " SU5      nU(       a   U R                  UR                  S5      5      $ [        SU 35      e)Nmutation_real_namez1(as_strided|reinterpret_tensor)\(([a-zA-Z0-9_]+),r)   could not find )r  r  r   r@  r  r0  	get_dtyper  rematchgroupr  )r`  r   mutated_bufr   s       rx   r  GraphLowering.get_dtype  s.   ..(>>+.444 DNN$899~~@@@..;;KHK111**;7AACC///((5??AA---&&{3==??+++$$[1;;==HHI;W>>!''!*--677ry   c                V   XR                   ;   a  U R                   U   R                  5       $ XR                  ;   a5  U R                  U   nUR                  5       (       d  gUR	                  5       $ XR
                  ;   a  U R
                  U   R	                  5       $ [        SU 35      e)Nr)   r  )r  numelr0  has_tensor_output	get_numelr  r  r  s      rx   r  GraphLowering.get_numel  s    ..(>>+.4466---%%k2C((**==?"+++$$[1;;==677ry   c                j   > [        S5         [        TU ]  " U6 sS S S 5        $ ! , (       d  f       g = f)NzGraphLowering.run)r   r   run)r`  rv   re  s     rx   r  GraphLowering.run  s$    -.7;% /..s   $
2c                "   UR                   b
   SU 35       e[        U[        R                  5      (       d   eU R	                  S[        U R                  5       35      nU R                  R                  U5        XR                  U'   X!l         U$ )NzOperation registered twice: r   )	operation_namer{   r+   	Operationr  rq  r  r   r3  )r`  r   r6  s      rx   register_operation GraphLowering.register_operation  s      (M,H*MM("bll++++  2c$//&:%;!<=r" " ry   set_namec                  U R                  S[        U R                  5       35      nU R                  R                  U5        XR                  U'   UR                  5       nUb_  [        U[        R                  5      (       a/  UR                  5       (       a  U[        R                  " S5      :X  d  U R                  U5        U(       a  X1l        U$ )Nr	  r   )r  rq  r  r   r0  
get_devicer{   r+   r  is_zero_elementsr   r   r  r6  )r`  bufferr#  r6  r   s        rx   register_bufferGraphLowering.register_buffer  s      3s4<<'8&9!:;F#$*D!""$ 62#4#455++--ell511   (Kry   c                h    U R                  SSR                  U5      -   5      nXR                  U'   U$ )Nlist_rx  )r  r   r-  )r`  operation_namesr6  s      rx   register_operation_list%GraphLowering.register_operation_list  s1      388O+D!DE*

4ry   c                *   ^ ^ SUU 4S jjmT" U5        g )Nc                  > [        U [        [        45      (       a  U  H  nT" U5        M     [        U [        R                  5      (       a6  U R                  5        H!  nTR                  U   R                  U 5        M#     g g rt   )r{   r1  tupler+   rE   get_read_namesr2  r   )valuex	read_nameregisterr`  s      rx   r6  1GraphLowering.register_users_of.<locals>.register  sg    %$//AQK %..!&!5!5!7I&&y188? "8 /ry   )r3  %Union[Iterable[ir.IRNode], ir.IRNode]r   Noneru   )r`  node_outputr6  s   ` @rx   register_users_ofGraphLowering.register_users_of  s    	@ 	@ 	ry   c                    [        U[        5      (       d   eU R                  R                  U5        XR                  ;  a  gU R                  U    H  nUR                  5         M     g)zz
When a buffer is mutated we need to make sure all the reads to
the old version are realized before the mutation happens.
N)r{   strr$  r   r2  realize)r`  r6  r  s      rx   mark_buffer_mutated!GraphLowering.mark_buffer_mutated  sX    
 $$$$$  &)))&&t,DLLN -ry   c                   XR                   ;   a  XR                  ;   d
   SU-   5       e[        U R                   U   5      nX R                  R                  ;   a  U R                  R                  U   $ U R                  U   $ )z
In AOTI, module buffers may have been mutated during the tracing and compilation.
Thus we need to read from previously stored original buffers, to make sure the
generated model.so uses correct initial values.
z$Can not find the original value for )rQ  r  rX   rP  r   )r`  r6  	orig_names      rx   get_original_value_of_constant,GraphLowering.get_original_value_of_constant  s     3338N 	
2T9	
N 5T5Q5QRV5WX	 KK,,, KKY'	
 %	
ry   c                   [         R                  R                  (       d7  U R                  R	                  5        H  u  p4[        X$5      (       d  M  Us  $    Uc  S[        U R                  5       3nUnUS   R                  5       (       a  SU 3nU R                  U5      n[        U5      nUnSnXR                  ;   a  U SU 3nUS-  nXR                  ;   a  M  X R                  U'   UR                  < SUR                  < S[        UR                  5       5      < S[        UR                  5       5      < S[        U5      S 3	U R                   U'   XPR"                  U'   U$ )Nconstantr   	constant_rx  r)    r4  )r*   aot_inductoruse_runtime_constant_foldingr  itemsr\   rq  isdigitr  r^   r   r  r1  rn  ro  hashr   rQ  )r`  r6  r  constant_namer3  rC  prefixcnts           rx   allocate_non_dup_const_name)GraphLowering.allocate_non_dup_const_name.  sO    ""??(,(<(<(>$!$..(( )? <c$..123D	7??tf%D  &  %nn$XQse$D1HC nn$  $t{{oQtzznATYY[!$AeDKKM&:%=QDz!n 	D!
 .7$$T*ry   c                    U R                  X!5      n[        R                  " [        R                  " U[        UR                  UR                  /U R                  U5      Q76 S95      $ r  )	rR  rE   creater+   r  r=   r   r  r~  )r`  r  r6  new_names       rx   add_tensor_constant!GraphLowering.add_tensor_constantM  s`     33D?"KK.2.G.G.M
 	
ry   c                  ^ U R                   T   R                  U:X  d  Uc  T$ [        R                  R                  R                  5          U R                  T SUR                   UR                  =(       d    S 3U R                   T   R                  U5      5      nX0R                   ;   d
   U S35       e[        U4S jU R                   5       5      (       a  U R                   U   U R                  U'   [        U4S jU R                   5       5      (       a  U R                   U   U R                  U'   UsSSS5        $ ! , (       d  f       g= f)z
We AOT copy constants to the devices they are needed on.
If device_override doesn't match the constant's device, then
copy it and return a different name.
Nrx  r   z' should be in V.graph.constants alreadyc              3  @   >#    U  H  nT[        U5      :H  v   M     g 7frt   r^   )r   r   r6  s     rx   r   .GraphLowering.constant_name.<locals>.<genexpr>p  s"      #5K {33#5   c              3  @   >#    U  H  nT[        U5      :H  v   M     g 7frt   r[  )r   
param_namer6  s     rx   r   r\  x  s"      "7J z22"7r]  )r  r   r   utils_python_dispatch_disable_current_modesrR  r  r  tor   r  r  )r`  r6  device_overridenon_dup_const_names    `  rx   rO  GraphLowering.constant_nameZ  sE    >>$&&/9_=TK[[))@@B "&!A!A&/../0E0E0J/KLt$''8"
 &7 %&&MN7  #'#5#5   :>&:""#56  "&"7"7   =ANN&=%%&89 &= CBBs   C-E
Ec                	  > U =R                   S-  sl         [        TU ]	  XU5      nU R                  U5      n[	        U[
        5      (       av  [        R                  R                  (       d  [        UR                  5      nOUR                  R                  nXPR                  U'   U R                  R                  U5        U$ [	        U[        [         ["        45      (       aA  [$        R&                  " U5      nXPR                  U'   U R                  R                  U5        U$ [	        U[(        5      (       a4  [+        XS9nX`R                  U'   U R                  R                  U5        U$ Uc  U R                  R                  U5        g [	        U[,        5      (       a  U R                  R                  U5        g [	        U[.        R0                  5      (       Ga  [3        [        R                  R4                  R6                  5      S:X  a  [9        [;        [        R                  R4                  R6                  5      5      R<                  [.        R>                  R@                  RB                  [.        RD                  RF                  RH                  4;   d   e[J        RL                  " XRN                  S9nXpR                  U'   U R                  R                  U5        U$ [	        U[.        RP                  5      (       d   U5       eURR                  (       d  U RU                  U5      u  pOU RW                  U5      u  pU R                  (       ai  U RX                  (       aX  U R                   U RX                  ;   a>  [Z        R\                  " [_        U[a        URN                  URb                  X5      S95      n
O=[Z        R\                  " [e        U[a        URN                  URb                  X5      S95      n
XR                  U'   U R                  R                  U5        U
Rf                  Rf                  U Rh                  U'   U R4                  R6                  (       a  U Rk                  URN                  5        [m        5          [o        U5      (       d  U Rp                  Rs                  U5        S S S 5        U
$ ! , (       d  f       U
$ = f)Nr)   r6  r3  )r6  r   r  ):r]  r   placeholderr  r{   r#   rd   rH  r   r   r   ru  r  r  r   intr  r  r|   sympifyr   rF   r   r   	Generatorrq  r,  r  r=  iterr   _prims	rng_primsgraphsafe_run_with_rng_stater  higher_orderinvoke_subgraphr+   GeneratorStater   r   _has_symbolic_sizes_stridesr~  r{  r^  rE   rU  r<   r=   r  r@   r  r  r  r]   r_   rU  r   )r`  r   rv   rw   exampleru  r   gensizesstridestensorre  s              rx   ri  GraphLowering.placeholder  s    	!'%fF;""6*gx(( 77&&,W\\:||(((,f%""))&1K#tU!344==)D(,f%""))&1K!122!v=C(+f%""))&1J_""))&1g}-- ""))&111qww++112a7DQWW))//0=f&&CC		&&66=   ##GC(+f%""))&1J'5<<009'90
 22!66w?NE7!88ANE $$$$(<(<<%%&w~~w}}eUF %%&w~~w}}eUF %+&!%%f--3[[-=-=""6*""  0 12.w77&&**62 3  32 s   ,R::
S	c                  >^ T[         R                  L a3  [        US   [        [        [
        45      (       a  [        TU ]  TX#5      $ [        T[        R                  R                  5      (       d  [        TS5      (       a  T" U0 UD6$ T[        ;  Ga_  [        T[        R                  R                  5      (       d
   T S35       eTR                  5       R                  S5      S   nU[         ;   a  [#        TSSS9  O[$        R&                  (       a  [)        T/5      (       a  [*        O[,        n[.        R1                  SUR3                  TX#5      5        [5        TSS	9nUcF  [        R6                  R8                  R;                  T5      (       a  U R<                  (       a  [>        nO[5        TSS	9n[A        U5      n[#        TUS
9  O)[)        T/5      (       a  [+        TX#5      e[-        TX#5      e [.        RC                  S[        T   5        U RD                  n	[G        T5      n
U
(       a  X#pU
[H        L a  SU	RJ                  ;   ap  U	RJ                  S   u  p[        T[        R                  R                  5      (       d   eSU4S jjnU" X5      u  pU" X#5      u  p#U" X5      u  p[I        X#X5      u  p#OU
" U	/UQ70 UD6u  p#SU	RJ                  ;   a  [M        TSS9" U0 UD6nO[        T   " U0 UD6nU
(       a  U RO                  U	WWX#5        U$ ! [P         a,  n[S        UTX#5      RU                  URV                  5      S eS nAff = f)Nr   _inductor_lowering_functionz is not an OpOverloadr   FT)warnoverride_decompz"Creating implicit fallback for:
%s)with_default)layout_constraintz  via %seager_input_valsc                v   > [         R                  R                  R                  TX5      nUc   eUS   US   4$ )Nr   r)   )r   r   operator_schemasnormalize_function)rv   rw   r   r   s      rx   	normalize.GraphLowering.call_function.<locals>.normalize?  sC    %*XX%>%>%Q%Q &&F $*#55#5#)!9fQi#77ry   should_fallbackadd_to_fallback_set)rv   r   rw   r   r   ztuple[Any, Any]),operatorgetitemr{   r1  r1  dictr   r   r   r   OpOverloadPacketr   rL   r   r6  r   rI   rM   r*   implicit_fallbacksr   r7   r8   r  r  operator_strr   _libraryr`  
is_builtinr   rP   rQ   r  r,  rN   rG   r   rJ   propagate_mutation	Exceptionr6   with_traceback__traceback__)r`  r   rv   rw   	base_nameerrortagdecided_constraintdefault_tagr  layout_constraintsold_args
old_kwargs	fake_argsfake_kwargsr  outere  s    `                rx   r   GraphLowering.call_function  s*   X%%%*T!WtUD>Q*R*R7(>> &%**"="=>>71D
 D
 4*6**"fejj&;&;<< (/0< ++C03I//f5$G** *6(33 .5 
 9&&vt<
 /H/ K,,77??(( + ' 1JT1K *B+)N&f8JK#VH-- 0EE264HH5	IIj)F"34!!A!9&!A!'+*%)BB
 *QVV3128J1K.	  *&%**2G2GHHHH8 2;91R.	'0'>/8/N,'@ )( $6a#I$#I&#ILD AFF*&v5I#  '88! ''8ZNJ 	#Avt<KK	s   6D!L 
M"'M		Mc                d    [        U R                  5      S:H  =(       a    U R                  S   S:*  $ )z=
True if this is a small constant attr that will be inlined.
r)   r      )rq  shape)ts    rx   can_inline_constant!GraphLowering.can_inline_constantc  s(    
 177|q 4QWWQZ1_4ry   c                   [        U R                  U5      n[        U[        R                  R
                  5      (       aB  XR                  ;   a  U R                  U   $ [        R                  " XS9nXPR                  U'   U$ [        U[        R                  R                  5      (       a&  X@R                  U'   SU R                  U'   [        XS9$ [        U[        5      (       a&  X@R                  U'   SU R                  U'   [        XS9$ [        U[        R                  5      (       d   e[         R"                  R$                  (       d4  [         R&                  (       d  [)        U5      (       d  XR*                  ;   a  U R-                  XA5      $ [/        5          UR0                  S:X  a6  [3        UR5                  5       UR6                  UR8                  S9sS S S 5        $ U R;                  U5      (       aX  [<        R?                  S[A        U5      5        SSK!J"n  U" URG                  5       UR6                  UR8                  S	9sS S S 5        $  S S S 5        U R-                  XA5      $ ! , (       d  f       N= f)
N)r6  graph_moduler   rh  ru   )r3  r  r   zInlining constant: %s r)   )ry  )r  r   )$r   rP  r{   r   r   rk   r  r+   Subgraphr   ScriptObjectr  r   rF   r   r   r*   rJ  rK  always_keep_tensor_constantsrR   r   rW  r&   r  r;   itemr  r   r  r  r  r>  loweringry  tolist)r`  r   rv   rw   r3  r  ry  s          rx   get_attrGraphLowering.get_attrk  s    "$++v6eUXX1122,,,**622++6>C*-'JeUXX2233/4$$V,*,D'"<</00/4$$V,*,D'"<<%....<<22(//333++E::]{{b **,ekk%,, ]
 ''..		2CK@,ellnEKKU ]
 /  ''66 ]s   =I*"A$I**
I8c                    [         ert   AssertionErrorr`  r   rv   rw   s       rx   call_moduleGraphLowering.call_module      ry   c                    [         ert   r  r  s       rx   call_methodGraphLowering.call_method  r  ry   c                	  > [         TU ]  XU5      n[        U[        [        45      (       d  U4n[        U[        [        45      (       d   [        U5      5       e[        S U 5       5      (       d   U5       e[        R                  R                  R                  S   n[        U[        [        45      (       d  U4nU Vs/ s H"  n[        R                  R                  U5      PM$     nn/ n[        U5      [        U5      :X  d   e[        XE5       GH\  u  p[        U[        R                   [        R"                  45      (       d  UR%                  U5        MH  [        UR'                  5       [        R(                  5      (       a0  UR%                  [        R                  R+                  U5      5        M  [,        R.                  R                  R1                  U5      (       d   eU	R2                  S   R5                  5        V
s/ s H:  n
[        U
[,        R6                  5      (       a  U
R8                  R:                  OU
PM<     nn
UR%                  [        R<                  " X5      5        GM_     Xpl        U R@                  RC                  5        GH  u  p[        U[D        5      (       a  M  [        U[         [F        RH                  [,        R.                  R                  RJ                  45      (       d   S[        U5       35       e[        U[         5      (       d  M  URM                  5         [        U[         5      (       d   eURN                  n[        U[        RP                  5      (       d   eUnURN                  n[        U[R        5      (       a  URU                  5       U:w  d  GM  [        RV                  RY                  XRZ                  U   5         U R>                  R]                  U5      nU RZ                  U   U R>                  U'   GM     U Ra                  5         [b        Re                  SU Rf                  U Rh                  b  U Rh                  5        g S5        g s  snf s  sn
f ! [^         a     GM  f = f)Nc              3  >  #    U  H  n[        U[        [        R                  [	        S 5      [        R
                  [        R                  [        R                  R                  R                  [        [        R                  [        R                  4	5      v   M     g 7frt   )r{   rE   r+   r;   r  r  r|   r   logicboolalgBooleanrj  EffectfulKernelrC   )r   r4  s     rx   r   'GraphLowering.output.<locals>.<genexpr>  sv      
  KKJ%%JJKK''//&&,,
  s   BBr   r  z'Unsupported inductor graph input type: zGForce channels last inputs for %d conv for the current graph with id %dr   )5r   r   r{   r1  r1  r  r  rd   rH  r,  rv   r+   ExternKernelrealize_inputrq  ziprE   BaseViewr   get_output_specCommBufferLayout
copy_inputr   	_inductoris_storage_and_layoutr   ro  rt  r   ru  try_match_insignificant_stridesr   r  rL  rF   r|   r   rs  r?  r  rD   r@   get_nameMutationLayoutSHOULDREMOVErealize_intor  r  
ValueErrorfinalizer  r  r   r<  )r`  r   rv   rw   r   fx_node_argsr4  result_correct_stridesrfx_nodesmeta_stridesr6  r3  value_storage_boxindre  s                   rx   r   GraphLowering.output  s    f5&5$-00YF&5$-00>$v,>0 
 
 
 
 	  !	 
$ ww++003,66(?L<BCFq"////2FC!#< CK///f3JAa",,!<==&--a0A--/1D1DEE '--boo.H.H.KL ))??BBBB %\\%0779 9 $.a#>#>AFFKKAE9    '--66qG# 4* 4,,224KD%11	5::u/A/A/P/PQ  G8eFG  eY//MMOeY////JJEeR]]3333 %JJEe[11U^^5E5M--::55d;,,223DEC.2.H.H.ND&&s+- 54 			U''!]]6DMM	
 =?	
m D" B " s   )Q+AQ07Q55
RRc                J    U R                    H  nUR                  5         M     g rt   )r  decide_layout)r`  r	  s     rx   r  GraphLowering.finalize  s    <<C  ry   c              #  \   #    U R                   n Xl         S v   X l         g ! X l         f = f7frt   )r,  )r`  r   olds      rx   set_current_nodeGraphLowering.set_current_node  s*     	$ $ #s   ,
! ,),c              #  P   #    U R                   n S v   Xl         g ! Xl         f = f7frt   r(  )r`  r  s     rx   set_current_wrapper_code&GraphLowering.set_current_wrapper_code  s$     	$ #s   & &#&c                  ^  [        U5      [        U5      :X  d   e[        U5      [        U5      :X  d   eUR                  [        R                  R                  R
                  L Ga  UR                  S   n[        U[        5      (       d   e[        R                  R                  R                  US   US   UR                  5        VVs0 s H@  u  pxU[        U[        R                  R                  5      (       a  UR                  S   OU_MB     snnUS   5      n	U	 HY  n
US   U
   nUS   U
   nXL a  M  T R!                  [        R                  R"                  R$                  R&                  X40 5        M[     g[        UR                  [        R(                  R*                  5      (       d   e        SU 4S jjnUR                  R,                  n[/        [1        X$5      5       H   u  nu  pUR2                  U   nU" UX5        M"     UR2                   Vs0 s H  nUR4                  U_M     nnU H  nUU   nUU   nUU   nU" UX5        M     gs  snnf s  snf )	aP  Propagate mutations on new_args/new_kwargs back to old_args/old_kwargs.

Assumes we may have cloned old_args/old_kwargs into new_args/new_kwargs
and then called fx_node(*new_args, **new_kwargs).

If fx_node mutates any of new_args/new_kwargs, and they are different from
old_args/old_kwargs, then we need to update the original tensor.
rw   
kernel_idxconstant_args_idxr  tma_descriptor_metadataNc                b  > XL a  g U R                   b  U R                   R                  (       a  [        U[        R                  5      (       a  U4nU4n[        X5       HK  u  p4X4L a  M  TR                  [        R                  R                  R                  R                  X440 5        MM     g g g rt   )
alias_infois_writer{   r+   IRNoder  r   r   r  r   copy_r  )
schema_argold_argnew_argold_arg_itemnew_arg_itemr`  s        rx   maybe_propagate9GraphLowering.propagate_mutation.<locals>.maybe_propagateB  s     !$$0Z5J5J5S5S gryy11&jG&jG25g2G.L#3 &&		,,44|6RTV 3H 6T0ry   )r  ztorch._C.Argumentr  	ir.IRNoder  r  r   r9  )rq  r   r   r  rq  triton_kernel_wrapper_mutationrw   r{   r  r   r   get_mutated_tensorsrL  r   r$   r   r   r   r  r  r   r   _schemar   r  	argumentsr6  )r`  r  r  r  new_args
new_kwargsrw   rc  rd  mutatedr6  r  r  r  schemar   r  argschema_kwargskeys   `                   rx   r   GraphLowering.propagate_mutation  sA     8}H---:#j/111>>UYY33RRR^^H-Ffd++++--@@TT<(./ !' . 
1ehhmm(D(Dqvve}!K . 45G  $X.t4$X.t4%""599>>#7#7#?#?'ASUWX   '..%***?*?@@@@	)	4=	HQ		( '''0X1H'I#C#'))#.JJ9 (J 392B2BC2B332BCC oG oG&s+JJ9	 YT Ds   AI I!c                "  >^ ^^$^%^& S%U4S jjnSSK Jn  [        T R                  5      m%[        T R                  5      m&[        T/5      nTR                  S:H  nU(       a!  T R                  T5      u  pgU[        Xg5      -  n[        R                  R                  U5         T R                  T5         [        R                  " T5         TR                  S:X  a  TR                  (       a  [        TR                  [         R"                  R$                  5      (       a  [         R&                  R(                  R+                  TR                  5      (       aP  [-        T5      (       d  UR/                  SSU4S j5      (       a$  U" S5        [1        TR                  S	S
9" W0 WD6nGOXTR                  S:X  a  [        TR                  [         R"                  R$                  [         R"                  R2                  45      (       a4  [5        T5      (       a$  U" S5        [1        TR                  S	S
9" W0 WD6nGOTR                  S:X  a  TR                  [         R6                  R8                  R:                  L a  [<        R>                  S:w  a  U" S5        [<        R>                  S:X  a  Wn	Wn
TR@                  RC                  S5      =n(       a  US   nUS   n[E        UUUU5      u  pgO[G        T/UQ70 UD6u  pgT RI                  TR                  Xg5      nT RK                  TXXg5        O[M        S[<        R>                   35      e[O        TR                  5      (       a  U" S5        [        TR@                  S   [         RP                  [         RR                  [         RT                  45      (       a$  TR@                  S   RV                  RX                  nO'[Z        T'T ]  T5      nOU" S5        [Z        T'T ]  T5      n[         R6                  R^                  R`                  Rb                  [         R6                  R^                  Rd                  Rb                  [         R6                  R^                  Rf                  Rb                  [         R6                  R^                  Rh                  Rb                  [         R6                  R^                  Rj                  Rb                  /m$[m        S TRn                   5       5      nTT Rp                  ;   n[m        U$4S jTRn                   5       5      nTR@                  RC                  SS	5      (       a  [        U[r        5      (       a  URu                  5         TR@                  S   Rw                  5       n[         Rx                  R(                  Rz                  " U6 nUR}                  5       U:w  a=  U(       d6  [        R~                  " U5      n[        R                  R                  UU5      nU(       aN  [        U[r        5      (       a9  [        UR                  [        R                  5      (       a  URu                  5         U(       d  U(       Ga  [        TR@                  S   [         R                  5      (       Gau  U(       a  T Rp                  RC                  T5      nOTR@                  S   Rw                  5       nUGb1  [        U5      S:  Ga!  [<        R                  =(       d    U(       + =(       a    U(       + n[         R                  R                  TR@                  S   5      n[        [        U5      5      S:  nU(       d~  U(       aw  [        UR                  5       5      S:X  aZ  TT R                  ;   aJ  U(       dC  U(       d<  [        R                  R                  UR                  5       [         R                  5      nU(       Gd%  [        U5      (       Ga  TR@                  S   R                  5       (       d)  [        UR                  [        R                  5      (       a4  [        R                  R                  U[        R~                  " U5      US9nO[        UR                  5       5      S:X  a  [        U5      S:  a  / nOGU Vs/ s H:  n[        U[         RP                  5      (       a  URV                  RX                  OUPM<     nn[        R                  R                  UUUS9n[        [        TRn                  5      5      nUS:  Ga:  [        U[r        5      (       Ga$  TRn                   GH  nUR                  [        ;   Ga  UR                  5         [         R6                  R^                  R                  Rb                  [         R6                  R^                  R                  Rb                  [         R6                  R^                  R                  Rb                  /n/ nT R                  (       d=  UR                  [         R6                  R^                  R                  Rb                  5        [         R                  R                  (       Ga  U[         R6                  R                  R                  Rb                  [         R6                  R                  R                  R                  [         R6                  R^                  R                  Rb                  [         R6                  R                  R                  Rb                  [         R6                  R                  R                  R                  [         R6                  R                  R                  R                  [         R6                  R                  R                  R                  /-  nU[         R6                  R                  R                  Rb                  [         R6                  R                  R                  R                  [         R6                  R                  R                  R                  [         R6                  R                  R                  Rb                  [         R6                  R                  R                  Rb                  [         R6                  R                  R                  R                  /-  n[         R                  R                  (       a2  U[         R6                  R                  R                  Rb                  /-  nUR                  U;   aN  [        R                  R                  U[        R~                  " TR@                  S   Rw                  5       5      SS9nUR                  U;   af  TUR                  S   L aT  [        R                  R                  U[        R~                  " [        TR@                  S   R                  5      5      5      nUR                  S:X  d  GM  [        UR                  R                  [        [        45      (       d  GM  URu                  5         GM     UR                  [        TRn                  5      5        [        U[r        5      (       a%  UR                  5       (       a  UR                  5         [        U[r        5      (       an  [        UR                  [        5      (       aO  UR                  R                  n[        U[        5      (       a$  UR                  SS9(       a  URu                  5         S S S 5        S S S 5        S S S 5        [        WT5        T R                  U5        [
        [        R                     " 5       nT R                  T%S   H  nUUR                  5       -  nM     T R                  T&S   H  nUUR                  5       -  nM     [        R                  R                  R                  n TR                  S:X  aF  [        U[        R                  5      (       a'  U R                  U5      (       a  UR                  U5        S&U%U&U 4S jjn![        R                  R                  (       a  TR                  S:X  a  U$ [        [        R                  R                  R                  TR@                  RC                  S0 5      5      n"U"c   e[        S  U" 5       5      n#UU#:  d&   S!U S"U# S#TR                  5        S$U!" 5        35       eT GR                  TU5        U$ s  snf ! , (       d  f       GN= f! , (       d  f       GN= f! , (       d  f       GN= f)'Nc                Z   > [         R                  S[        TR                  5      U 5        g )Nzlowering %s %s)r  r  r   format_node)msgr  s    rx   r  %GraphLowering.run_node.<locals>.debugd  s    II&
1==(A3Gry   r   )CompilerBisectorr   inductorrL   c                    > [        T 5      $ rt   )reprr  s   rx   <lambda>(GraphLowering.run_node.<locals>.<lambda>  s	    ary   rJ   Fr  flexible_layout-user_defined_triton_kernel_layout_constraintsneeds_fixed_stride_orderr  r)   z1Unknown triton_kernel_default_layout_constraint: r   r  r   c              3  >   #    U  H  oR                   S :H  v   M     g7f)r   Nr   )r   r  s     rx   r   )GraphLowering.run_node.<locals>.<genexpr>  s     DGDGGx/Gs   c              3  @   >#    U  H  oR                   T;   v   M     g 7frt   )r   )r   r  as_strided_opss     rx   r   r    s      *:A$~-'r]  inductor_realize_to_strides   )allow_paddingTr   d   )	thresholdri  c                    > TR                   TS   V s/ s H  n SU R                  5        SU  S3PM     nn UR                  S TR                  TS   5       5        SR	                  U5      $ s  sn f )Nunbacked_symbol_defs= in:

c              3  P   #    U  H  nS UR                  5        SU S3v   M     g7f)r  r  r  N)get_unbacked_symbol_defs)r   r   s     rx   r   BGraphLowering.run_node.<locals>.format_new_defs.<locals>.<genexpr>  s1      ?B ((C(C(E'FfRDPRS?s   $&z***
)r  r   extendr  r   )r	  r  buffer_watermarkoperation_watermarkr`  s     rx   format_new_defs/GraphLowering.run_node.<locals>.format_new_defs  s      <<(8(9::C ((D(D(F'GvcURTU:   HH //*=*>?  <<?"s   !A,unbacked_bindingsc              3     #    U  H8  n[         R                  R                  R                  R	                  X5      v   M:     g 7frt   )rd   r  rb  unbacked_renamingsr   )r   r  s     rx   r   r    s5      /
& KK!!4488>>&s   A Azfailed  >= z (inductor >= fx)
fx node is: z
new operations are:

)r  r>  r   r9  r   r>  )!torch._inductor.compiler_bisectorr	  rq  r  r  r'   r   fetch_args_kwargs_from_envrW   r+   r  current_originsr  rd   r   r{   r   r   r   r  r`  r  rK   disable_subsystemrJ   HigherOrderOperatorr`   r  rq  r  r*   'triton_kernel_default_layout_constraintr   r   rG   rH   r   r  r   r   rt  SymFloatSymBoolr   ru  r   run_noder   
as_stridedr  as_strided_as_strided_scatterresize	resize_asr   r  r   rE   r?  ro  r  any_is_symbolicmaybe_get_strideget_stride_orderr  require_stride_orderr  r  r   r   _prims_common%is_non_overlapping_and_dense_or_falser   r  rF  FlexibleLayout stride_ordered_for_memory_formatchannels_last_is_viewrequire_exact_stridesrO   realize_hintr   mm_int_mmr   r   r   r   _has_mkldnnr  _linear_pointwisebinarymkldnn_rnn_layeronednnqlinear_pointwisery  binary_tensor_convolution_pointwise_convolution_pointwise_ _convolution_transpose_pointwiseqconv_pointwiseqconv2d_pointwisehas_mklmkl_mkl_linearrv   r   r  rA   rB   
mark_reusehas_exceeded_max_readsrD   has_large_inner_fnr:   r;  r|   r}   r   rH  r
  rb  is_unbacked_symintr   r   r   r  create_deferred_runtime_asserts)(r`  r  r  r	  originsis_call_functionrv   rw   r   r  r  r  inp_args
inp_kwargs	is_outputis_user_visibleis_input_for_as_stridedrx  sym_stridesstride_orderr  denseunbacked_symbols_in_stridesr  	num_usersr  need_fixed_layoutneed_fixed_channels_last_layoutcurrnew_unbacked_defsr	  r   rb  r%  r'  renamed_unbacked_bindingsr  r#  r$  re  s(   ``                                  @@@rx   r4  GraphLowering.run_nodec  s   	H 	Gt||,!$//2 $.qc?44?2::1=LD~d33GII%%g.!!!$q! 'HHqxx)>)>??NN((33AHH==9!<<'99"K 
 ())!((N
 'HHuzz44ejj6T6TU  /q11 ())!((N
 'HH		 6 6 U UUBBFWWEFBB12  $H!'J+,66::6H+II'I#3A#6%5a%8
'@ "$&(f (?q'R4'R6'R!//$GF++AxTR&KFLzLzK{|  !** '(FF5MELL%..%--#P  VVE]//44F"W-a0Fb	)!, 		))11		**22		1199		%%--		((00N DAGGDDI4#C#CCO&) *:;''* '# vvzz7??J	E E  &&-..0#oo33CCWM**,7#%#6#6w#?L__AA&,WFvy11v{{BKK88  4*uu||; ; #">>BB1EGffUm224G&3w<!+;**A/.A%655 " "//UUuE 1':;a? 0 8! 12a7!@!@@ / 7"$"3"3"T"T"OO-u/B/B# 73w<< 66%=1133z"KKKK8 8 &(__%I%I & " 3 3G <.; &J &F  #6??#45:s7|a?O*, .5+"-4 4>a3N3NAFFKKTU$U-4 !( +" &(__%J%J &} &K &F Jqww/0I1}FI!>!>GGD{{&;;++- "IINN??GG!IINN--55!IINN22::-)
 ;=7#-44UYY^^5O5O5W5WX 88///- %		 0 0 B B J J %		 0 0 B B I I %		 ? ? G G %		 0 0 B B J J %		 0 0 B B I I %		 0 0 B B I I %		 0 0 B B P P2 - < %		 0 0 G G O O %		 0 0 G G N N %		 0 0 H H O O %		 0 0 Q Q Y Y %		 0 0 @ @ H H %		 0 0 B B I I@ ;  %xx// 1eiimm6O6O6W6W5X X 1;;*;;%'__%I%I & " 3 3AFF5M4H4H4J K.2 &J &F !KK+JJ !TYYq\ 1%'__%I%I & " 3 3$B166%=CVCV$W!"&F ww(*%fkk&6&6I8NOO"NN,y $~ !!#agg,/ &),,1N1N1P1P ##% &),,FKK1T1T{{''dI.....=(C " % /J 	61%v&&u||46<< 0 12C!=!=!?? 3//"5"67B!<!<!>> 8 GG$$..	
 DDM!65<<00,,V44!!&)		# 		# 77144=#8M. 6GG&&

3F(K
 !,,, %/ /
&/
 %
!
 !$== 	
'(-F,G H==?+ ,&&5&7%8:	
=
 	,,Q0ABe+"M "! %$ /.ss   !AE
3AD8
_!AD&+AAD!
,TAD&-AD&3C6AD&)AD81AE
D!AD&D&
AD5D0AD8D8
AE	EAE
E

AEc                b  ^  S	U 4S jjn[        5       (       a|  UR                  [        R                  R                  R
                  R                  L aA  T R                  (       a0  T R                  U5      u  pEUS   S:w  a  U" US   US    S35        g g T =R                  U-  sl	        [        R                  R                  R                  nU GH[  nT R                  R                  U/ 5      nUR                   U   n	UR#                  5       R%                  U	5      (       d{  S
S jn
U
" U	R&                  5      (       a$  U" XyR&                  :  U SU	R&                   35        U
" U	R(                  5      (       a$  U" XyR(                  :*  U SU	R(                   35        U H  n[+        UR,                  5      nUT R                  -
  nU(       a;  [/        U[0        S9nT R                  R3                  U/ 5      R5                  U5        Mi  U" UR,                  UR,                   5        M     GM^     g )Nc                t   > [         R                  " X5      nTR                  USS9  TR                  U5        g )NTr"  )r+   AssertScalarr(  r   )ru  r  	assert_opr`  s      rx   make_assertBGraphLowering.create_deferred_runtime_asserts.<locals>.make_assert  s2    2I  T :##I.ry   r   Tz to be Truec                `    U [         [         * 4;   a  g [        U 5        g! [         a     gf = f)NFT)r(   rj  	TypeError)r  s    rx   is_convertibleEGraphLowering.create_deferred_runtime_asserts.<locals>.is_convertible  s5    & 11#()F#'( )#()s     
--r*  z <= )r  )ru  r"   r  r>  r   r9  )r  r   r   r  )r   r   r   r  r   _assert_scalarr  r;  r-  r	  rd   rH  r
  rb  r  r   var_to_range _default_unspecified_value_rangeissubsetlowerupperr   ru  r   r>  r   r   )r`  r  rk  rr  	node_argsrx  rb  i0rasvrrv  rafvsmissingi1s   `              rx   r[  -GraphLowering.create_deferred_runtime_asserts  s   D	/ %&&EIINN99AAA::1=LI|t#IaLYq\N+*FG $ ''+<<'((22I (((,,R4++B/ AACLLRPP) &bhh//#B((Nrd$rxxj4IJ%bhh//#B((Nrd$rxxj4IJB/8C!D$?$??G c2**55b"=DDRH#BGGy: ) (ry   c                    [         R                  (       a  [        S5      e[        R                  S;  a  [        S[        R                   35      eg )NzC++ codegen is disabled)linuxdarwinwin32zUnsupported platform )r*   disable_cpp_codegenr5   sysplatformri  s    rx   !validate_can_generate_cpp_wrapper/GraphLowering.validate_can_generate_cpp_wrapper$  s@    %%()BCC<<;;(+@)OPP <ry   c                   U R                   R                  5       nUR                  S5        UR                  S5        [        U5      S::  d%   SR	                  SR                  U5      5      5       e[        U5      S:H  nU(       a  SOUR                  5       U l        U R                  (       a  U R                  5         [        U R                  5      U l        [        U R                  U R                  U R                  5      nUc   SU R                   S35       eUR                  UUUU5      U l        U R                   (       a0  U R                   R                  R"                  U R                  l        g g )	Nr   r   r)   zDoes not support mixing {}+r   zDevice z not supported)r  r  discardrq  formatr   r   r  r7  r  r1   r'  r2   r8  rU  r(  r  _names_iter)r`  is_subgraphr  parent_wrapper_codepartition_signaturesr  only_cpuwrapper_code_gen_clss           rx   init_wrapper_codeGraphLowering.init_wrapper_code+  sP    ((--/U#V$< A% 	
'C'J'JHH\"(
 	
% |$)$,5,2B2B2D2241$2B2BC=d.. 
 $/ 	
d&&'~6	
/ 177 	
 ,0,=,=,J,J,V,VD) ry   c                   SS K nUR                  U R                  5      nUR                  U5      n/ nUR                  R                   HY  nUR
                  S:X  d  M  UR                  [        R                  R                  R                  L d  MH  UR                  U5        M[     / n0 n0 n/ n	0 n
U GH  nUR                  S    H\  nU HS  nX;   a  M
  [        U[        R                  R                  5      (       d  M5  [!        U5      X|'   UR                  U5        MU     M^     UR                  S   n[        R"                  R$                  R'                  UR                  S   UR                  S   UR)                  5        VVs0 s H@  u  pU[        U[        R                  R                  5      (       a  UR*                  S   OU_MB     snnUR                  S   5      n0 nUR                  R-                  U5         UR)                  5        H  u  pUU;   aJ  UR                  R/                  [        R0                  U4S	9n[!        U	5      UU'   U	R                  U5        MU  X;   a	  X   UU'   Mc  [!        U	5      X'   U	R                  U5        X   UU'   M     S S S 5        UXR2                  '   GM     X-   nUR                  R                   H&  nUR
                  S
:X  d  M  [5        U5      4Ul          O   UR9                  5         [        R                  R;                  U5      nUR=                  U5      n[!        U5      S:  a  U[!        U	5      S  n0 U l        U H  nSn/ nUR                  S    H|  n/ nU HW  n[        U[        R                  R                  5      (       d  UR                  U5        M?  SnUR                  UX|      5        MY     UR                  [5        U5      5        M~     U(       d  M  UU R>                  UR2                  '   M     US [!        U	5       U l         Xl!        g s  snnf ! , (       d  f       GN= f)Nr   r   gridrw   r  r  r  r  )rv   r   FT)"r  deepcopyrO  rH  r   r   r   r   r  rq  r  r   rw   r{   r   r$   rq  r   r   r  rL  r   inserting_beforer   cloner6  r1  rv   	recompileInterpreterr  rC  rA  rB  )r`  r   r  	cloned_gmtriton_nodesr   grid_inputsvisited_gridstriton_inputskwargs_inputsvisited_kwargsr  r  rw   rc  rd  r  r  new_nodenew_outputsrunnerreturned_outputsgrid_outputsdynamic_grid	new_gridsnew_grids                             rx   extract_autotune_inputs%GraphLowering.extract_autotune_inputsP  s    	MM$,,/	~6OO))D?*KK599#9#9#X#XX##D) * ,.24(*-/)+ DF+C+ !#uxx}}55-0-=*#**3/   , [[*F--@@TTL)/0 !' . 
1ehhmm(D(Dqvve}!K . 56G *,J11$7"LLNDAG|#,??#@#@TUSW#@#X(+M(:
1%,,X6 *(6(9
1 (+M(:N%!((+$2$5JqM + 8 (2M))$M !P $1OO))Dww("";/1	 *
 	%%i0!::n5{a+C,>,@AL$&D!$$.0	 KK/D!H#)#uxx}}==$OOC0$'+ ]5G(HI  $ $$U8_5 0  <7@D))$))4 %" "22FC4F!G"/o 87s   AP8 BP>>
Q	c                  ^  [        U 4S jS 5       5      (       Ga  SU 4S jjn[        R                  R                  (       a  [        R                  R                  (       aW  SnT R
                   H&  n[        U[        R                  5      (       d  M$  Sn  O   U(       a  U" 5       nT R                  U5        T R                  5       $ ST l        T R                  5       R                  nU" 5       n[        R                  R                   R#                  5          U" U5        SSS5        AST l        T R$                  R'                  5         T R(                  R'                  5         T R*                  R'                  5         [,        R.                  R0                  R2                  R'                  5         [,        R.                  R0                  R4                  R'                  5         [6        R8                  " 5         [        R:                  " SS05         T R                  5       sSSS5        $ T R                  5       $ ! , (       d  f       GN = f! , (       d  f       g= f)	zA
For GPU, Triton kernels are autotuned and stored as cubin files
c              3  @   >#    U  H  oTR                   ;   v   M     g 7frt   )r  )r   r   r`  s     rx   r   9GraphLowering.codegen_with_cpp_wrapper.<locals>.<genexpr>  s     Iv***r]  )cudaxpuc                   >     SS jn [         R                  R                  R                  5       nUb  [	        [
        R                  [        5      (       d  UR                  (       a  UR                  R                  5         UR                   Vs/ s H
  nUc  M  UPM     nn[        R                  " U[
        R                  5       Vs/ s H  nU " U5      PM     nnOU[	        [
        R                  [        5      (       a  TR                  O[
        R                   Vs/ s H  nU " U5      PM     nnTR                  (       a  SSKJn  [#        TR$                  5       VVs/ s H<  u  pxUTR                  ;   d  M  [	        XW   [         R&                  5      (       d  M:  UPM>     n	nnU	 H3  nXW   n
[	        U
[         R&                  5      (       d   eU" U
5      XW'   A
M5     U$ s  snf s  snf s  snf s  snnf )Nc                N   U c  g [        U [        R                  [        R                  45      (       a  U R                  R
                  $ [        U [        5      (       a  [        U 5      $ [        U [        R                  5      (       d   S[        [        U 5      5      -   5       eU $ )Nz&Unknown type when creating real inputs)r{   r   rt  r2  r   hintr   r   r   r>  r  )r4  s    rx   materializeXGraphLowering.codegen_with_cpp_wrapper.<locals>.extract_real_inputs.<locals>.materialize  s     y##Aenn'EFF vv{{*#Az22%ay()!U\\:: Ds4PQ7|S:  !ry   r)   )clone_preserve_strides)r4  z1Union[torch.SymInt, torch.SymFloat, torch.Tensor]r   zUnion[int, float, torch.Tensor])r   _guardsTracingContexttry_getr{   rd   real_inputsrc   output_stridesclearparams_flatrZ  chainr   r.  
compile_fxr  r   r  r   )r  tracing_contextparamr  r4  r  r  r   r6  r/  mutated_inpr`  s              rx   extract_real_inputsCGraphLowering.codegen_with_cpp_wrapper.<locals>.extract_real_inputs  s   !H!4!" #(--">">"F"F"H".zMM;8 8 '55'66<<> &5%@%@#%@E  %@   # "+amm!L#!LA $A!L   #K  *!--EE !//!"/#/  $A/   # &&B *343D3D)E*)EIC4#6#66  '{'7F )E ' *  2 '2&6)+u||DDDD+A++N('  2 #"W#
##*s*   G&G&G+"G0%G5?G5"G5FTNztriton.autotune_at_compile_time)r   %list[Union[int, float, torch.Tensor]])r   r*   tritonautotune_at_compile_timeautotune_with_sample_inputsr  r{   r+   UserDefinedTritonKernelr  codegenr7  compile_to_modulecallr   r`  ra  rb  r"  r  r!  r&  rd   rH  r
  precomputed_replacementsinv_precomputed_replacementsr,   resetpatch)r`  r  user_defined_kernelsr   r  compileds   `     rx   codegen_with_cpp_wrapper&GraphLowering.codegen_with_cpp_wrapper  s    IIIID#L }}55 ==<<+0("oo%b"*D*DEE370! . ,&9&;44[A||~% $) 1138813[[11HHJ[) K $( $$**,''--/''--/  99??A  ==CCE\\#De"LM<<> NM <<>!! KJ NMs   	H<I<
I
Ic                    SSK Jn  [        R                  " SS5         U" U R                  5      U l         SSS5        g! , (       d  f       g= f)z
(Re)initializes the scheduler member.  When initializing the scheduler, no CUBIN
files should be generated (to avoid biasing any benchmarks and pessimizing
fusion decisions).
r)   )	Schedulerztriton.store_cubinFN)r@  r  r*   r  r  )r`  r  s     rx   _update_schedulerGraphLowering._update_scheduler"	  s2     	)\\.6&t7DN 766s	   ?
Ac                P   [        SSS9   U R                  5         U R                  5         [        R                  R                  U R                  U R                  R                  5        U R                  R                  U 5        U R                  R                  5         [        R	                  S[        R                  R                  5        U R                  R                  U R                   5      nU R                  R#                  5         UsS S S 5        $ ! , (       d  f       g = f)NzGraphLowering.codegenTlog_pt2_compile_eventzFFinished codegen for all nodes. The list of kernel names available: %s)r   r  r  rd   r  draw_orig_fx_graphrO  r@  r   r(  push_codegened_graphr  r  rH  rY  generater   pop_codegened_graph)r`  r   s     rx   r  GraphLowering.codegen-	  s    1N""$""$GG&&t||T^^5I5IJ2248NN""$IIX00
 &&//0A0ABF113! ONNs   DD
D%c                l   [        SSS9   UR                  U l        UR                  U l        UR                  U l        UR                  U l        UR
                  U l        UR                  U l        U R                  5         U R                  R                  5         SSS5        g! , (       d  f       g= f)a  
This is a more compact version of the `codegen()` above
where we codegen this graph as a subgraph of some parent
graph. The parent graph is passed as an argument: the
intention is to inline codegening of the subgraph in
the parent graph's wrapper code (including the generated
kernels). The wrapper code is not finalized (via `.generate()`
call), as this will be done in the parent graph's `codegen()`.
zGraphLowering.codegen_subgraphTr  N)
r   r(  r'  r7  r  r  r  r  r@  r  )r`  parent_graphs     rx   codegen_subgraphGraphLowering.codegen_subgraph@	  s     :RVW , 9 9D*55DO+77D , 9 9D+77D+77D""$NN""$ XWWs   BB%%
B3c                    Sn/ n/ nU R                   R                   HL  nUR                  5       nX-  nUR                  XES-  45        UR                  XDR	                  5       45        MN     XU4$ )Nr   r  )r@  r   get_read_write_buffers_sizesr   get_estimated_runtime)r`  total_bytesnode_countsnode_runtimesr   	num_bytess         rx   r  GraphLowering.count_bytesU	  sy    
 NN((D99;I$K1n56  $(B(B(D!EF	 ) 66ry   zOptional[Callable[[str], None]]save_output_codec                p    [        SSSSS9   U R                  5       sS S S 5        $ ! , (       d  f       g = f)NzGraphLowering.compile_to_modulecode_genT,inductor_code_gen_cumulative_compile_time_us)
phase_namer  dynamo_compile_column_us)r   _compile_to_moduleri  s    rx   r  GraphLowering.compile_to_moduleh	  s4    -!"&%S	
 **,
 
 
s   '
5c                j   U R                   (       a  U R                  5       OU R                  5       u  p[        U[        5      (       a  U R                  U5      nO/[        U[        5      (       a  UnO[        S[        U5       35      eUR                  c   e[        UR                  5        [        R                  SUR                  5        [        R                  " SUR                  5        [        R                   (       a%  [#        SUR                   3[$        R&                  S9  [        U[        5      (       au  [(        R                  R+                  UR                  5        [(        R                  R-                  [.        R0                  R3                  UR                  5      S   S-   5        U$ )Nz Unrecognized wrapper code type: Output code written to: %szCompiled module path: )filer   .debug)r7  r  r  r{   rb   _compile_to_module_linesr/   NotImplementedErrorr  __file__rr   r  r  rp   r  r*   benchmark_kernelprintr  stderrrd   output_coder  ospathsplitext)r`  r(  rx  mods       rx   r   GraphLowering._compile_to_moduleq	  s6    04/?/?D))+T\\^ 	 l$455//=C&;<<C%243E2FG  ||'''%		.=93<<H""*3<<.9

Kl$9::GG-GGLL))#,,7:XEF
ry   c                  ^^ SSK Jn  [        R                  R                  (       aw  U R
                  R                  R                  5       nUR                  SS5      nSU-   U R
                  R                  R                  5       -   S-   nUTR                  -   Tl
        [        R                  b  [        R                  TR                  5        [        R                  " STR                  5        [        R                   " 5       n["        R$                  " UTR                  S9   TR&                   VVs/ s H  u  pgXgR(                  4PM     nnnUR+                  TR                  5      u  n	m[        R                  " S	T5        [,        R                  R/                  T5        [,        R                  R1                  [2        R4                  R7                  T5      S
   S-   5        [9        SU4S jU4S jS9  [=        SSS9   UR?                  U	TU0 U R@                  EU RB                  EU RD                  ES9n
S S S 5        Xl#        TU l$        Xl%        [        RL                  (       a%  [        RN                  (       a  W
RQ                  SSS9  W
$ s  snnf ! [:         a    [9        SU4S jS9  e f = f! , (       d  f       N= f)Nr)   )PyCodeCachez"""z\"\"\"z&r"""
Compile-time auto-tuning block: 
z"""
zOutput code: 
%s)coder  r   r   inductor_output_codec                 H   > T [         R                  R                  T 5      S.$ )N)filename	file_path)r  r	  abspath)r	  s   rx   r  8GraphLowering._compile_to_module_lines.<locals>.<lambda>	  s     $!#!6ry   c                    > T R                   $ rt   r3  r  s   rx   r  r  	      <#5#5ry   )
payload_fnc                    > T R                   $ rt   r  r  s   rx   r  r  	  r  ry   zPyCodeCache.load_by_key_pathTr  )linemapattrs)timesrepeat))	codecacher  r*   r  r  r(  kernel_autotune_defsgetvaluereplacekernel_autotune_callsr3  r   r  rp   r  rS   inductor_meta_from_configrT   begin_compileline_mapstack_tracewriterd   r  r  r  r	  r
  r   r  r   load_by_key_pathr  r  r  rI  rJ  rK  benchmark_harnessprofile_bandwidth_outputbenchmark_compiled_module)r`  r(  r  r   tuning_codeinductor_metaline_nor   r  r  r  r	  s    `         @rx   r  &GraphLowering._compile_to_module_lines	  sx    	+==11#'#4#4#I#I#R#R#T #7#?#?{#S 7&' ##99BBDE 	  "-|/A/A!AL))5**<+=+=>1<3E3EF&@@B**=|?Q?QR	 &2%:%:%:MG **+%:   $)),*<*<=IC!!">EGG%GGLL))$/2X=> & 6 8PTU..nn.. 44	 / 	C V $##(G(G))!)<
Y  	&5
 	  VUs+   %J 4JBJ 7J4J J14
Kc                   / n[         R                  " S5      n[         R                  " S5      nU H  n[        U[        R                  5      (       a+  UR                  U R                   S[        U5       35        MM  [        U[        R                  5      (       a+  UR                  U R                   S[        U5       35        M  UR                  UR                  5       5        M     U$ )Nr   _none_shape)
rZ  r[  r{   r+   NoneAsConstantBufferr   r6  r=  rC   r  )r`  r   namesshape_counternone_counterr   s         rx   _get_output_namesGraphLowering._get_output_names	  s    !* q)!D$ 7 788		{%\0B/CDED"":":;;		{&m1D0EFGT]]_- " ry   c                8    U R                  U R                  5      $ rt   )r8  r   ri  s    rx   get_output_namesGraphLowering.get_output_names	  s    %%d&8&899ry   c                :   XR                   ;   =(       ar    U R                   U   R                  5       S:H  =(       aK    [        U R                   U   R                  5       5      S:H  =(       a    [	        U R                   U   5      S:H  =(       d    XR
                  ;   $ )Nr)   r   r   )r  r  rq  r  r>   r  r  s     rx   is_unspec_argGraphLowering.is_unspec_arg	  s     %%% B!!$'113q8BD%%d+44671<B   1 1$ 78EA	3
 222	3ry   )\r  rG  r  r  rY  rQ  r;  rC  rA  rB  r	  r  r  r^  rI  rK  rJ  r   r  r  r   r   r  r7  r5  rD  r,  r_  r  rM  r'  r  r  rL  r   rT  r   r+  r  r  r8  r0   r<  r  r  r  r   r&  r  rX  r   r   r   r   r-  rW  r:  r$  r/  r.  r   r6  r0  r3  r2  r  r  r%  rV  rF  r   r  r  rO  r  r]  r?  r  r9  r"  r#  r!  r  r@  r  r
  r  rU  r   r\  r(  r  )NNNFFNNFFFNNNNNNF)&ra  torch.fx.GraphModuler   zOptional[Sequence[object]]rb  zOptional[ShapeEnv]r<  zOptional[int]r7  r  r;  r  r   zOptional[bool]r+  z4Optional[Callable[[list[ir.ExternKernelNode]], Any]]r   r  r   r  r   r  r  zOptional[dict[str, int]]r   Optional[str]r   rA  r  zOptional[GraphLowering]r6  rA  r  zOptional[Sequence[int]]r8  r  r   r9  )r   r9  )rv  torch.Tensorr   z=tuple[Sequence[Union[int, Expr]], Sequence[Union[int, Expr]]])rv  rB  r   z)tuple[list[sympy.Expr], list[sympy.Expr]])r   zOUnion[ir.TensorBox, ir.StorageBox, ir.Buffer, WorkspaceArg, ir.TorchBindObject]r   zSequence[Expr])r   z2Union[ir.Buffer, WorkspaceArg, ir.TorchBindObject]r   r   )r   z.Union[torch._inductor.ir.IRNode, device, None]r  r-   r   r  )T)r  rn   r  r  r   rj  )r   torch.device)r   rC  r   Iterator[None]r+  )ra  rk   r   r  r   r  )r6  r>  r   r>  )ra  r@  r   zlist[torch.Tensor]r  r>  r   r  )r   zOrderedSet[Node])r6  r>  r   r9  )r   rC  r   r9  )r   z,torch._subclasses.fake_tensor.FakeTensorMode)r   r>  r   z<Optional[Union[ir.TensorBox, ir.Buffer, ir.TorchBindObject]])r  
sympy.Exprr   r9  )r   r>  r   z2Union[ir.TensorBox, ir.Buffer, ir.TorchBindObject])r   r>  r   ztorch.dtype)r   r>  r   zUnion[int, Expr])rv   r   r   r   )r   zir.Operationr   r>  )r'  z	ir.Bufferr#  r  r   r>  )r,  	list[str]r   r>  )r:  r8  r   r9  )r6  r>  r   rB  )r6  rA  r  zUnion[Tensor]r   r>  rt   )r  r   r6  rA  r   rE   )r6  r>  rd  zOptional[torch.device]r   r>  )r   r>  rv   tuple[object]rw   dict[str, object]r   zUnion[Expr, TensorBox, None])r   re   rv   r   rw   dict[str, Any]r   r   )r  rB  r   r  )r   r>  rv   z	tuple[()]rw   rH  r   zOUnion[Constant, TensorBox, ShapeAsConstantBuffer, ir.Subgraph, TorchBindObject])r   r   rv   r   rw   r   r   r   )r   r>  rv   rG  rw   rH  r   r9  )r   r   )r   rD  )r  r   r  
tuple[Any]r  rI  r  rJ  r  rI  r   r9  )r  r   r   object)r  r   rk  zOrderedSet[sympy.Symbol]r   r9  FNNN
r  r  r  rA  r  zOptional[PythonWrapperCodegen]r  z!Optional[GraphPartitionSignature]r   r9  )r   r  r   r9  )r   z)tuple[ValueWithLineMap, ValueWithLineMap])r  r   r   r9  )r   zVtuple[int, list[tuple[BaseSchedulerNode, int]], list[tuple[BaseSchedulerNode, float]]])r   CompiledModule)r(  rb   r   rN  )r   r   r   rF  )r   rF  )r6  r>  r   r  )H__name__
__module____qualname____firstlineno____annotations__r   rh  r{  r~  r  r  r  r  r  
contextlibr   r  r  staticmethodr   r  r  rE  r  r  propertyr  r  r  r
  r  r  r  r   r(  r-  r;  r@  rD  rR  rW  rO  ri  r   r  r  r  r  r   r  r  r  r  r4  r[  r  r  r  r  r  r  r  r  r  r  r  r  r8  r;  r>  __static_attributes____classcell__re  s   @rx   r   r   B  s7   ""
 6:(,"&!%) "!$7;,0+/04"37 +MC MC 3MC &	MC
  MC MC MC #MC!
MC MC MC MC 5MC  *!MC" )#MC$ .%MC& 'MC( 1)MC* +MC, 
-MC MC^1# # 	F# J	2#
#
 
#&EFE	EM>M  M 
	M<(4 ( ( Y Yv
 
 +
 	

 

6;zA
D  	E$FQQ	;Q8,
8& FK (
@	
 !)6	@ 37

"/
	
&&Rff f "	f
 
&fPvp 5 52727 27 "	27

27h[
[
 [
 "	[

 
[
z  $ $ $ $I:I: I: #	I:
 I: #I: 
I:VjXS;S;3KS;	S;jQ "'+>BBF#W#W %#W <	#W
 @#W 
#WJ]0C]0	]0~q"	2q"f	8&%*7
7" 9=5<->F,F	FP:3 3ry   r   c                  ^   ^  \ rS rSrSrSU 4S jjr    S         SU 4S jjjrSrU =r$ )	r  i	  z
Mostly a helper class for the subgraph lowering. The main goal is to call
init_wrapper_code with the subgraph related arguments.
c                2   > Xl         [        TU ]  " U0 UD6  g rt   )r  r   r   )r`  r  rv   rw   re  s       rx   r   SubgraphLowering.__init__	  s    $)&)ry   c                `   > [         TU ]  SU R                  U R                  R                  S9  g )NT)r  r  r  )r   r  r6  r  r(  )r`  r  r  r  r  re  s        rx   r  "SubgraphLowering.init_wrapper_code	  s.     	!)) $ 8 8 	" 	
ry   )r  )r  r   rv   r   rw   r   r   r9  rL  rM  )	rO  rP  rQ  rR  __doc__r   r  rW  rX  rY  s   @rx   r  r  	  sV    
* "'+>BBF

 %
 <	

 @
 

 
ry   r  )rv   r   rw   r   r   r9  )r   rE  r   zOptional[torch.dtype])r   r   r   r  )r   rk   r   r>  r   z1Union[Tensor, torch._C.ScriptObject, GraphModule])r   rl   r   dict[Node, tuple[int, ...]])r   r`  r   zdict[Node, object])r   rl   r   r`  r   r9  )
__future__r   rT  rR  rZ  loggingr  r  r  r  r4  collectionsr   r   typingr   r   r   r	   r
   r|   r   r   torch._loggingtorch.fxr   r   torch._decompr   torch._dynamo.utilsr   r   "torch._library.fake_class_registryr   torch._library.utilsr   r   r   torch._prims_commonr   r   torch._subclasses.fake_tensorr   torch._utils_internalr   %torch.fx.experimental._backward_stater   torch.fx.experimental.sym_noder   r   %torch.fx.experimental.symbolic_shapesr   r   r   r   r    r!   r"   r#   torch.fx.noder$   torch.fx.passes.reinplacer%   torch.utils._mode_utilsr&   torch.utils._ordered_setr'   torch.utils._sympy.numbersr(   r   r*   r+   r,   codegen.commonr-   r.   r/   r0   r1   r2   r3   r4   excr5   r6   r7   r8   fx_utilsr9   r:   r;   r<   r=   r>   r?   r@   rA   rB   rC   rD   rE   rF   r  rG   rH   rI   rJ   rK   rL   rM   rN   rO   rP   rQ   rR   runtimerS   runtime.autotune_cacherT   r
  rU   r`  rV   rW   rX   rY   rZ   r[   r\   r]   r^   r_   r`   ra   rb   virtualizedrc   rd   collections.abcre   rf   rg   rh   typesri   torch._higher_order_ops.effectsrj   rk   torch.fx.graphrl   codegen.wrapperrm   dependenciesrn   r@  ro   rN  torch._inductor.codecacherp   	getLoggerrO  r  _logginggetArtifactLoggerr  r  r   r[  r>  r*  torch._inductor.fb.utilsrr   r   r   r   r   r   r   r   r  r   r  ru   ry   rx   <module>r     s   "      	 	 
  # % @ @        , 4 ? : 7 5 : ? L	 	 	  1 / / - ! !	 	 	  %       $ 8 &    ( FF ;$$5!,:'<<=N 5 !00<Hyy~~$??, 	8(
	!6$50V/V/+FV/	V/rn"3EHH(( n"3bE
} 
ry   