ȅi XSSKrSSKrSSKrSSKrSSKJr SSKJrJrJ r SSK J r SSK J r JrJrJrJr SSKrSSKrSSKrSSKJs Jr SSKJr SSKJrJrJr SSKJ r J!r! SS K"J#r# SS K$J%r%J&r& SS K'J(r( SS K)J*r* SS K+J,r,J-r- SSKJ.r. SSK/J0r0 SSK1J2r2J3r3J4r4J5r5 SSK6J7r7J8r8J9r9 SSK:J;r;JJ?r? \"S5r@\R"\B5rCS\2S\S\ 4S\ S\ S\24 SjrD/SQrES\FS\F4SjrGSAS \RRS!\JS\RR4S"jjrKS \RRSS4S#jrL"S$S%\RR5rO\"S&S'S(/5rP"S)S*\RR5rRS+\RRS,\S\ 4S-\S.S/\S\ S\ S0\\\S\F\ 4\T\ \U\ 4SS4S1jrVS2\RRSS4S3jrW\ "S4S59"S6S755rXS8\S9\ S\T\ S4S\S\F\ 4S\X4 S:jrYS;\RRSS4S<jrZSBS9\S\ 4S=\\U\-S\S\ 44S>jjr[SSS?.S9\S\ 4S=\\U\-S0\\\S\F\ 4\T\ \U\ 4S\S\RR44S@jjr\g)CN) namedtuple)CallableIterableSequence) dataclass)AnyOptional TYPE_CHECKINGTypeVarUnion)enable_python_dispatcher) CaptureOutputfullgraph_capture get_traced_fn)argument_namescheck_user_input_output) UserErrorType) dynamo_timedget_metrics_context)_compiling_state_context)TracingContext)_RelaxedConstraint Constraint)Node)make_fx)ConstraintViolationError DimDynamicShapeEnvStatelessSymbolicContext)_ExportCodeGen_PyTreeCodeGen _PyTreeInfo)ArgumentTarget)TreeSpec)FakeTensorModeTconstraint_violation_errorfunc.argskwargsreturncSSKJnJn [R"U5nU"X#4U5nUR (aU"UR SU54UlU$)z Because we trace a different callable, the sources are all messed up. Manually patch them so the error message looks correct. r)_get_input_paths_replace_sources)torch.export._unliftr.r/inspect signaturer*)r(r)r*r+r.r/orig_sigflat_input_pathss Y/home/james-whalen/.local/lib/python3.13/site-packages/torch/_dynamo/functional_export.pypost_process_error_msgr6+sZH  &H'A!&& 7< "L__self__child" - inline_builtin case: Uses numeric ID strings like "140468831433840" 2. Values: Removes "._export_root" and "._modules['_export_root']" from child names e.g., "L['self']._export_root.child" -> "L['self'].child" e.g., "L['self']._modules['_export_root'].child" -> "L['self'].child" Also removes the root export entry "L__self____export_root" entirely. Args: graph_module: The GraphModule to clean up is_inline_builtin: If True, keys are numeric ID strings and self references (L['self']) are filtered out Returns: The cleaned GraphModule (modified in-place) nn_module_stackr,c>SU;aUS 0nUR5H2unup4[U5n[U5nT(aUS:XaM-Xd4X'M4 U$)NL__self____export_rootz L['self'])itemsrB)rF cleaned_stackkey child_name child_class clean_key clean_namerDs r5_process_nn_module_stackEclean_nn_module_stack_and_source_fn.._process_nn_module_stackksq $ 6 89 .=.C.C.E *C**05I2*=J!Z;%>(2'@M $/Fr7source_fn_stackc/nUHn[U[5(aZ[U5S:XaKUup4[U[5(a[ U5nUR XT45 M_UR U5 MrUR U5 M U$)N) isinstancetuplelenstrrBappend)rRrJitemnameclsrOs r5_process_source_fn?clean_nn_module_stack_and_source_fn.._process_source_fns} #D$&&3t9> dC((!9$!?J!((*):;"((.$$T*$r7N dynamo_flat_name_to_original_fqn) dictrXrVr'rgraphnodesmetacopygetrIrB) rCrDrPr]noderRclean_name_to_original_fqn flat_name original_fqns ` r5#clean_nn_module_stack_and_source_fnrjOsS8c5a=01 c5a= !,HQKHQK ""((  )+C +,113,DII' ())--(94@ ?+=o>R>R>T+UDII' ()*\->->>%'"'3'8'8 .( %'( #I)6 ''? 'J K( ' <= r7cb0nURRGHnURS:XaURn[ U5nXC:waXBl[ X5(de[ RRRX5n[ RRRXPU5 [ RRRX5 URS:XdMURn[U[5(de[ U5n[U[5(de[ UR5nXC:XaGM8X1;aXUlXblGMOURU5nUR!U5 UR#XG5 XBlXblXAU'GM g)z3Remove export_root artifacts from FX graph in-placeget_attr call_moduleN)rarboptargetrBhasattrtorchfxrC _get_attr _assign_attr _del_attrrUrXr[ get_submoduledelete_submodule add_submodule)rCclean_named_module_maprf old_target new_targetparamnew_nameros r5clean_export_rootr~s] .0""(( 77j J1*=J'( |8888--77 Q%%225 S%%// I 77m #Jj#.. ..1*=Jj#.. ../ :H'34@ $ !// ;F  ) )* 5  & &z :$K I1;: .?)r7cJ^\rSrSrS\S\SS4U4SjjrS\SS4S jrS rU=r$) ModuleToTracefooin_specr,Nc:>[TU]5 XlX lgN)super__init__ _export_rootr)selfrr __class__s r5rModuleToTrace.__init__s  r7 flat_argsExportTracerOutputc[R"XR5up#UR"U0UD6n[R"U5upV[ XV5$r)pytreetree_unflattenrr tree_flattenr)rrr*r+resout_flatout_specs r5forwardModuleToTrace.forwardsK,,Y E 00#005!(55r7)rr) __name__ __module__ __qualname____firstlineno__rrr__static_attributes__ __classcell__rs@r5rrs6C#$ 6#6*>66r7rrrrc^\rSrSrSrSS\R RS\\ S\\ \ S\ \ \ 4S\ \ \ \\ 44S \\ S S4U4S jjjrSU4S jjrSS jrS\S\ \S4S\ \\ 4S \ 4U4SjjrS\S\\ S\ \\ 4S \ 4U4SjjrS\S \ 4U4SjjrS \R R4U4SjjrSrU=r$)DynamoGraphTransformerzZGraph transformer for dynamo export that flattens inputs/outputs without complex matching.Nmodule flat_inputsflat_args_dynamic_dimsgraph_input_ordergraph_output_map fake_moder,c>[TU]U5 [U5[U5:XdeX lX0lX@lXPlX`lURRVs/sHowRS:XdMUPM snUl [SURR55Ul 0UlUR5 0UlUR#5 gs snf)N placeholderc3H# UHoRS:XdMUv M g7f)outputN)rn).0ns r5 2DynamoGraphTransformer.__init__..sR+=aAQ+=s" ")rrrWrrrrrrarbrn placeholdersnext output_nodenew_input_nodes_create_flattened_inputsold_to_new_mapping_create_placeholder_mapping) rrrrrrrrrs r5rDynamoGraphTransformer.__init__s  )*c+.>>>>&&<#!2 0")/ (:(:T(:1ddm>SQ(:TR6<<+=+=RR:< %%'#% ((*Us !C 8C c >[[UR55GH3n[TU]SU3S05nXR ;azUR UnU[UR 5:aRUR UnURR5H%upVUS:wdM XbRRU'M' URGb[URU[R5(aURRURU[[[URUR 55Vs/sH5nXpR"U;a[$R&O[$R(PM7 snS/[URUR 5-S9S9URRS'Ou[+URUS5(a1URUR,URRS'O&URUURRS'X R.U'GM6 gs snf)zKCreate new placeholder nodes for flattened inputs with proper fake tensors.arg_valN) dynamic_sizesconstraint_sizes)symbolic_context)rangerWrrrrrrcrIrfrrUrqTensor from_tensorrshaperrDYNAMICSTATICrprr) rirgraph_placeholder_idxorig_placeholderrKvaluedrs r5r/DynamoGraphTransformer._create_flattened_inputsss4++,-A'-QCj"bAK***(,(>(>q(A%(3t/@/@+AA'+'8'89N'O$&6&;&;&A&A&C %<9>,,11#6'D ~~)j  #U\\//04~~/I/I$$Q'%=&+3t/?/?/B/H/H+I%J ' &K$%(C(CA(F#F!+ 2 2%/%6%6!7&K '+/#d6F6Fq6I6O6O2P)P &0J 0   %%e,))!,e44/3/?/?/B/F/F   %%e,/3/?/?/B   %%e,'2  #M.*'sURUR;aURURnSHNnXPRR;dMURRUURRU'MP SURR;aJSURR;a0URRSURRS'U$[TU]XU5$)z1Replace old placeholders with new flattened ones.) tensor_dict example_valueunbacked_bindingsr) current_noderrcrfrr)rror*r+new_argrKrs r5r"DynamoGraphTransformer.placeholder<s    7 7 7--d.?.?@GM++000-1->->-C-CC-HGLL%%c*M ))...5 @Q@Q3Q+/+<+<+A+A%+H !!%(N7&vV< USn/n[URR55HznURUupxUS:XaURXH5 M/US:Xa,URn URUR U 5 MaUS:XdMiURU5 M| [ T U]U[U5405$)z/Transform output according to graph_output_map.r graph_outinputconstant) sortedrkeysrYindexrrrrV) rror*r+original_outputs new_outputsr output_typer input_idxrs r5rDynamoGraphTransformer.outputRs 7 --2245A#44Q7 Kk)""#3#89'II ""4#7#7 #BC *""3'6w~fu['9&;R@@r7rc~>Xl[TU] U5n[US5(aURULaSH:nX1R ;dMUR UURR U'M< UR S:wa6[US5(a%URRUR5 U$)z.Run node transformation and preserve metadata.rf)rrrrr[) rrrun_noderprfrcrn_renamer[)rrr?rKrs r5rDynamoGraphTransformer.run_nodegs!!$ 66 " "v{{!';D&&=,-FF3KFKK$$S)E ttxGAv$6$6 ##AFF+ r7cZ>[TU]5n[URS5(aSURR;a&URRSURS'SURR;a&URRSURS'U$)z:Perform the graph transformation and copy module metadata.rcr_dynamo_compile_id)r transformrprrc)r result_gmrs r5r DynamoGraphTransformer.transformxsG%'  4;; ' '1T[[5E5EEEI[[EUEU7F AB #dkk&6&666:kk6F6F(7 23 r7) rrrrrrrrrrrr,N)rrrr__doc__rqrr GraphModulelistrsetintr`rVrXr rrrr$r#rrrrrrrrrs@r5rrs3d$(+$$+#Y+!%SX +  S> + sE#s(O34 +C=+ ++>(2TK==$)(C-$8=BFsCx.= =,AA$,SMA;?S>A A*$3"588//r7rmodule_to_trace orig_callablerr&graph_capture_outputdynamic_shapesc Sn[U5upURRUR5 [ USS5=n GbU R =n Gbo[UR[RR[RR-5(Gd U R5 U R5n U R[ R""U5UUU 5nU(a3UR$(aUR$SU-4UlO2U4UlO)U (a [ U5nO[&R)SU5 U R*Hen[U[,R.5(dM$[ SR1[2R4"U R6U55SUS35nMg U(a[9XqXE5nUeg![a n U nSn A GNSn A ff=f)N shape_envrz#Summary of dimension constraints:%sr:zk It appears that you're trying to set a constraint on a value which we evaluated to have a static value of z0. 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Output shuffle functions are the converters taking the outputs of the dynamo raw graph module and convert them to the pytree format. This function will replay any side effects that happened during the bytecode, so it is important to check against side effects before calling this function. Nrc\rSrSrSrg)pytreeify..Yieldi rN)rrrrrrr7r5Yieldr' s r7r(cZ>^\rSrSrSUUU4SjjrS\S\\S44UUUU4SjjrSrU=r $) pytreeify..InShufflei r,c^>[TU]5 TUl[T5UlSUlgr)rrr#rW num_inputs gm_inputs)rrflat_real_argsr#s r5r%pytreeify..InShuffle.__init__s( G  DH!.1DO!DNr7flat_proxy_args.c@>^[R"[TR5Vs/sHo!UPM snT5up4S[S[4UU4SjjnT R UTS9"U0UD6 [es snf!Ta TR ceTR s$f=f)Nexample_inputsr,c>UTlTer)r-)r2r(rs r5 backend_dummy;pytreeify..InShuffle.forward..backend_dummys!/ r7 compiled_fn extra_globals)rrrr,rforward_callabler- RuntimeError) rr0rr*r+r4r( f_globalsrr"s ` r5r$pytreeify..InShuffle.forwards!00-24??-CD-C#-CDgLD s s    &$$ -Y%#!#  E &~~111~~% &sA4A99!BB)r-r#r,r) rrrrrrrVrrr)rr(r;r.rr#r"s@r5 InShuffler* s2 " "  C E#s(O   r7r=symbolicT) tracing_modeproxy_module_inputscT>^\rSrSrSUUU4SjjrS\S\\4UUU4SjjrSrU=r $)pytreeify..OutShufflei4r,c>[TU]5 [T5Ul[TRS5UlSUlg)Nr)rrrWr,r* num_outputsr)rrr.rs r5r&pytreeify..OutShuffle.__init__5s9 G  !.1DO";#3#3A#67D 04DMr7r0c(>^^[R"[TR5Vs/sHnTUPM snT 5up4S[S[4UU4SjjnT R UTS9"U0UD6n[R "U5unTlU$s snf)Nr2r,cz>[TR5Vs/sHnTTRU-PM sn$s snfr)rrDr,)r2rr0rs r5r4.OutShuffle.forward..backend_dummyAsC#4#3#344$DOOa$784s8r6)rrrr,rr9rr) rr0rr*r+r4resultsretr;rr"s `` r5r%pytreeify..OutShuffle.forward<s!00-24??-CD-C#-CDgLD s s   **)+G"(!4!4W!= CJEsB)r,rDrr) rrrrrrrrrr)rr;r.rr"rs@r5 OutShufflerB4s) 5 5 C DI  r7rLcl>T(aTRURS5$URS$)Nr)rrc)xrs r5pytreeify..Rs5 ++AFF?,CD)()r7real)r)& backend_inputrUrqr r!r1ismethod__self__rr_dynamo eval_framerr INVALID_INPUTrr; Exceptionutilsdetect_fake_moderrrrriterreversedrCrarb tree_map_onlyrrrr*r rrrW)r"r#r*r+rRrr=rrL out_shuffleflat_out_shuffle_argsrr(r;rr.rrs`` @@@@@@r5 pytreeifyr`s    (( (%%M D#uxx''v}   #   %||$114.ANG MM44Dqa)*M,G,G((22I  EHHOO4 ##44^DIY((0&j      -.tH]%?%?%E%E%K%KLMNKUXX__2,K       HHMM )   Q     ##445JKIY((0&j  ! ##  $  ! " $./    ++ + "" N   $ #s .L  LgmcURRH1nURS:XdMURSURS'M3 g)Nrrr)rarbrnrc)rarfs r5normalize_graph_modulercps7 77m ##yy9DIIe r7 constraintsc@^^S[S[S[4UU4SjjnU$)Nr*r+r,c  >^ [RRR(ae[RRR SS9 [ 5 [ S5 [T UUT S9nSSS5 SSS5 SSS5 [WT X5nURm [UR5Vs/sH,nT RRRSU3S5PM. nn[[![#[$R&"T 5X5UR(UR*5UR,UR.U[1UR2[R4R65(aT O UR25T Rl[;T 5 UR2GbUR2R<R?5T lUR2R@R?5T l [CU 4SjUR2RD55(deT RDRGUR2RD5 UR2RHR?5T l$[JRLS:a.SSK'nURQ[R4R65nO%[S[R4R6S S5nUR2RTRW5H$upU(dMX;dMU T RTU'M& UR(T l,UR*T l-[]T S 5(ae[]T S 5(aeUR,T l/UR.T l0[cT S 5 T Re5 URfRhRjRlT RnS 'URpceURpRrT RnS'ST RnSl:[wT RnS5n URpRxU l<U T RnS'T $!,(df  GN=f!,(df  GN)=f!,(df  GN3=fs snf)Nwarn)side_effect_replay_policyr)rd _tree_leaf_c3F># UHn[TU5(+v M g7fr)rp)rmrCs r5rAdynamo_graph_capture_for_export..inner..s O=N7<333=Ns!)rr_in_shuffle_graph_out_shuffle_graph_param_name_to_sourcemodule_call_specsrTtracing_context)=rqrUconfiginstall_free_tensorspatchrrrr`rCrrra_graph_namespace create_namer r"rr1r2rrrrrUrr r!_codegenrc _parametersrd_buffersall_modulesupdate_non_persistent_buffers_setsys version_info annotationlibget_annotationsr__dict__rI_in_spec _out_specrprorprrr output_graphexport_metadatamodule_call_specrcrRrallow_non_fake_inputsrtensor_to_context)r*r+r"pytrtree_leaf_namesr annotationsr[rrsrCrdr#s @r5inner.dynamo_graph_capture_for_export..innerzs==''<<<< MM & & & H  ! , -#' C . " IS$/'' 3,,- -    / / ; ;k!>>>),)=)= &*-*?*? ' 56  $ $ 1 1 A A R R -.  ,,,),):):)D)D +&?C +&<():):;)GH,/,=,=,O,O)/> +,A . - " ! I H sB R5 R#, R9R#R53S R R## R2 -R55 S)r)r#rdrs`` r5dynamo_graph_capture_for_exportrvs/ESECECEEN Lr7)rdrct^^^UmUmS[S[S[RR4UUU4SjjnU$)a Improved dynamo graph capture using transformer approach with proper fake tensor handling. This function creates a capture instance that handles: 1. PyTree flattening/unflattening with proper input ordering 2. Dynamo graph capture with export-specific context 3. FX graph transformation for export compatibility 4. Proper fake tensor metadata preservation 5. Dynamic dimension constraint handling Notable improvements over manual approach: - Uses FX Transformer for cleaner graph manipulation - Properly handles fake tensor metadata and dynamic dimensions - Preserves all necessary metadata for export - More robust error handling and edge case management TODO: 1. Are we actually gonna run the bytecode? 2. Need to attach guards r*r+r,c  >[5 [R"X45up#[U[R 5 [ TU5n[T[RR5(a TROTnTnTnSSK J n U"5 [RRR!SSSSSSSS[RRR"S9 n [%5 ['S5 U  [)U[+U5TSS9n U R,R.ce/n U R0bCU R0R2n U R0R4n U R0R6n O[R8R;[RR5[R8R=55n U R>RAS5 U RC5 Sn [EUUU U UUU5 U R,R.RFnURHnURJnURLnURNnSSS5 SSS5 SSS5 UVVs/sHnU=(d SVs1sHnURP[SU5:XdM[U[T5(aM5URVRXRZURVRXR\:wdMyUR^iM snPM nnn0nWHUnUUn[U[RR`Rb5(de[eU5UURf'MW URi5HunnW UUU'M [kW UUUWW 5Rm5n[q[s[tRv"U5X5UW55UR>l<URC5 [{U[RRR|5 [U5 WURS 'U URS 'UsSSS5 $!,(df  GN=f!,(df  GN)=f!,(df  GN3=fs snfs snnf!,(df  g=f) Nr%)resetTF) specialize_intspecialize_floatassume_static_by_defaultautomatic_dynamic_shapes capture_dynamic_output_shape_opscapture_scalar_outputs'constant_fold_autograd_profiler_enabledlog_graph_in_out_metadatarur)rd _is_export_deprecated_do_not_userrrr)ArrrrrrWrrUrqr r!rr:rrUrtrvinstall_free_tensors_for_exportrrrrVrrrRrCrr2rrrGraphrarrrrgraph_input_idx_to_local_sourceoutput_return_typerrt_ididrconstraint_rangevrlowerupperdimsource GetItemSourcerWrrIrrr!r"rr1r2ryrjinline_inbuilt_nn_modulesr~rc)r*r+rrrrrdrrdynamo_config_ctxr"r2rarr graph_inputsrrrrNcrrinprreal_idx graph_idxtransformed_graph _constraints_dynamic_shapesr#s r5r/_dynamo_graph_capture_for_export..inners# % '#)#6#6~#F K #K1L1L M+C9O+5c588??+K+KCKKQTM6BK  G % 4 4 : :#!%)-).15'+8<*. &+]]%9%9%Y%Y!;! $$%01!'#+& ,59 //<<HHH,.$$0--::E # 1 1 ; ;I%(%6%6%E%EN!HH001BEHHNNDTUEKK&&t,OO% $I6#!"#&":":"G"G"W"W.NN #2#E#E *33#2#C#C K"2&h% &%A*/R//"Q%!+1.@ A  ..11771;M;M;P;P;V;VV AEE/% # &13 #%c*!&%--*>*>*L*LMMMM256G2H!&,,/$ (9'>'>'@#)(6y(A H%(A!7&!  !ik 0>"7#4#4]#CTR0  # # ,  ' ' ) /!5==#7#7#Q#Q  / 0:J  " "#6 72;  " "; /$}( 'F"!21&%V &W( 'sC#R>/ R!;R>E'Q= %R-R!5 R>R8R36R3 AR3R3!R8(E R>= R R R R!! 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