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N) verifiersrlrrrrmdict[sympy.Symbol, Any]rZr.rrsc $tjjj|_t |||_t|tjjr/|j jj|jt|j ||||_ ||_ ||_|J||_||_|xsi|_| xst$g} t'd| DsJ| |_|j+y)Nc3<K|]}t|tywrM)rrr().0rHs rT z+ExportedProgram.__init__..s>q:a*>s)rr rCodeGenr_create_graph_module_for_export _graph_modulerrWrrr`_graph_signature _state_dict_range_constraints_module_call_graph_example_inputs _constantsr(all _verifiersvalidate) rOrlrrrrmrZrrrss rT__init__zExportedProgram.__init__s //1I>>>># rVF)is_backward_compatiblec|jSrM)r{rOs rTrzExportedProgram.graph_modules!!!rVctd)Nz7Unable to set ExportedProgram's graph_module attribute.rrOvalues rTrzExportedProgram.graph_modulesTUUrVc.|jjSrM)rrrs rTrzExportedProgram.graphs  &&&rVctd)Nz0Unable to set ExportedProgram's graph attribute.rrs rTrzExportedProgram.graphsMNNrVc|jSrM)r|rs rTrzExportedProgram.graph_signatures$$$rVctd)Nz:Unable to set ExportedProgram's graph_signature attribute.rrs rTrzExportedProgram.graph_signaturesWXXrVc|jSrM)r}rs rTrzExportedProgram.state_dictsrVctd)Nz5Unable to set ExportedProgram's state_dict attribute.rrs rTrzExportedProgram.state_dictsRSSrVrpc#DK|jD] \}}| yw)zH Returns an iterator over original module's parameters. 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"%(..u5,/@AQAQ@R-STTU s ; #)#6#6s#; =))W~~../0E$o'  $ 4 4 @ @yyI$8$88  !*. 9UHAu"&"6"6"C"CA"FK"'':+E+EE*11===>C (:(:;$))Z-K-KK*11=== $%+4[+A%! "%(..u5,/@AQAQ@R-STTUs,*H&I(A I%%I--N&J-,C.Nc|jjddjdd}d|d|jd|jd}|S)NF) print_outputcolored z zExportedProgram: z Graph signature: z Range constraints: )rprint_readablereplacerrm)rOrstrings rT__str__zExportedProgram.__str__sp((778 '$ !  .! $ 4 456""&"8"8!9 =   rVcddlm}||}ddtfd}ddtfd}tj|||_tj|||_|S)z_ Returns a self contained GraphModule with all the parameters/buffers inlined. r4)&_unlift_exported_program_lifted_statesmodectd)Nz%Calling train() is not supported yet.NotImplementedErrorrOrs rT_trainz&ExportedProgram.module.._train*s%&MN NrVctd)Nz$Calling eval() is not supported yet.rrs rT_evalz%ExportedProgram.module.._eval-s%&LM MrVT)rrbooltypes MethodTypetraineval)rOrrrrs rTrzExportedProgram.module"s] D7= Ot O Nd N''7 &&uf5  rVctdt|jjDt |jjS)Nc3`K|]&\}}|jtjk(r|(ywrM)rr9r)rwrRss rTrxz=ExportedProgram._num_lifted_params_buffers..6s. Aq66Y111 s,.)rr r|rrrs rT_num_lifted_params_buffersz*ExportedProgram._num_lifted_params_buffers4sC %d&;&;&G&GH  %%11 2   rVrrc| tn t|}t|tr|j }t |\}}t |||d|S)a Run a set of decompositions on the exported program and returns a new exported program. By default we will run the Core ATen decompositions to get operators in the `Core ATen Operator Set `_. For now, we do not decompose joint graphs. Args: decomp_table: An optional argument that specifies decomp behaviour for Aten ops (1) If None, we decompose to core aten decompositions (2) If empty, we don't decompose any operator Some examples: If you don't want to decompose anything .. code-block:: python ep = torch.export.export(model, ...) ep = ep.run_decompositions(decomp_table={}) If you want to get a core aten operator set except for certain operator, you can do following: .. code-block:: python ep = torch.export.export(model, ...) decomp_table = torch.export.default_decompositions() decomp_table[your_op] = your_custom_decomp ep = ep.run_decompositions(decomp_table=decomp_table) Nrk)rErsrr0 materializerrq)rOrr _decomp_tablerrs rTrun_decompositionsz"ExportedProgram.run_decompositions>skP)5(< " $$|BT  m%6 7)557M" 9 G  + ' 3!(C   rVpassesc Ttt|}ddlm}|5||j}ddd |jn |j}|J||jur|j s|Sdt dtjjdt fd}t||j||j||jt||jt!j"|j$|j&|j(|j* }|jj,j/|jj,|jj,j/|jj,|S#1swYjxYw)Nr)r old_signaturenew_gmrpc g}t|jjD]\}}|jdk7rn|t |j ksJd|j |}t |jttfr |jn$t|j|j}|jt|j||j|j t#|jjd}|jdk(sJg}t|j$dD]\}}|t |j&ksJd|j&|} t | jttfr | jn$t| j|j}|jt)| j|| jt+||} | S)zO Update the graph signature's user_input/user_outputs. rz-Number of inputs changed after transformationrrKrz.Number of outputs changed after transformationr)r rrrzrrrrr6r7rrNrr:rrr rZrerr<r8) rr new_input_specsrRr&old_input_specr output_nodenew_output_specsold_output_spec new_signatures rT_get_updated_graph_signaturezKExportedProgram._transform_do_not_use.._get_updated_graph_signatures!O$V\\%7%78 477m+3!--CBC"/!:!:1!="&**-=?P,Q#&&2n001$))<  &&&++&--&11  0v||11226K>>X- --! $[%5%5a%89 43!..DCD#0"<"@Q-R$''3o112499= !''33S/:P:PQ  1+:JM! rV rlrrrrmrZrrrs)r3rZrrrmodifiedr8rr rWrBrrrrnrmrrdrrrrsrr)rOrpmrrtransformed_gmrtransformed_eps rT_transform_do_not_usez%ExportedProgram._transform_do_not_useso f & @ $ & (T&&'C (-0_))$BSBS))) T.. .s||K7 !/7 !HH((7 !"7 !r) &&8$$n<&&#mmD,C,CD..nnnn  ##((//0A0A0F0FG##((//0@0@0E0EFi ( (s FF'cRddlm}|jjDcgc]}|jdk(s|}}t ||j jDcgc]$\}}|jtjk(r|&}}}||||jycc}wcc}}w)Nr)"_check_input_constraints_for_graphr) torch._export.utilsrrrrzrrrrr9rrm)rOrrr1 placeholdersrinput_placeholderss rTrz(ExportedProgram._check_input_constraintssJ#'::#3#3Maqtt}7LM ML$*>*>*J*JK 1vv---   +  3T5K5K N sBB)B#c$|jyrM) _validaters rTrzExportedProgram.validates  rVct|jdkDsJd|jD]}|j|y)Nrz0ExportedProgram must have at least one verifier.)rrscheck)rOrHs rTrzExportedProgram._validatesE  ! # > = > # A CIIdO rV)rrrsc $t||j|||n |jtj|j tj|j |j||n |j|| S|j S)Nr) rBrrrrdrmrrrrs)rOrrrrrss rT_updatezExportedProgram._updates$$+%/%;z"mmD,B,BC"mmD,C,CD..#,#8idnn#,#8i  ?Cnn  rV)NN)NF)rprB)CrWrXrY__doc__r rrModulersr^rr Graphr8rrrZrCr rr r ScriptObjectrr(rpropertyr1rsetterrrrrrrrrrmrZrrrrrsrrrrrrrrrrk_ops OperatorBaserrrPassTyperrrrrr"r_rVrTrBrBs .LP %59%EHHOOT#s(^34%xx~~%. % eELL%((2D2D$DEEF % 5 % 0%!uS#XS#X'F!GH% eELL*:EHHr?r@rA__all__r rWr+ dataclassrDrCrkrContextrrtrr AutogradCPU AutogradCUDA AutogradMeta AutogradXLA AutogradLazy AutogradIPU AutogradXPU AutogradMPS AutogradHPUAutogradPrivateUse1AutogradPrivateUse2AutogradPrivateUse3rCPUCUDAMetaXLALazyIPUXPUMPSHPUrrrrsr)r*rrrEintrIrr`rZrirqrBrrnrzr_rVrTris  "$%GGB? 9?6IJ ; $$",*@B716:"  UXX))*HZ,@@ A  ' ' '  444 GG>>GG>> G  G: HH$$ HH%% HH%% HH$$ HH%% HH$$ HH$$ HH$$ HH$$ HH,, HH,, HH,, ,(, HH HH HH HH HH HH HH HH HH X$X$v  )-uzz..89)- 4 ''1 2C 78)-Xo2 //9:o2ejj55x?@ o2 sm o2d # #3G# 588  !5 56#2. .:! !0!01 //9:1ejj55x?@ 1 sm 1 "& 1h    D $$BF >.rV