ig4SSKJr SSKrSSKJr SSKJrJrJrJ r J r J r SSK J r SSKJrJrJrJrJrJr S\R*R,S\R.S \R.4S jrS \R*R2S \4S jrS \S \R*R2S \4SjrS \S \R*R2S \\R.4SjrSS\S\R*R,S\S\S\R.S\\S \R*R24SjjrS\S \R*R24Sjr S\4Sjr!S\S\\-S \R*R24Sjr"S\S\S\R.S \R*R24Sjr#g))OptionalN)ExportedProgram) get_bufferget_lifted_tensor_constant get_param is_bufferis_lifted_tensor_constantis_param)FakeTensorConverter)ExportGraphSignature InputKind InputSpec OutputKind OutputSpecTensorArgumentgraphdatareturncn[UR5nU(d [S5eUSn[URS[ [ RRR45(aURSSnOURSn[5RURUS9$)aO Helper function to create a fake tensor using the fake_mode from existing nodes in the graph. Args: graph: The graph to get fake_mode from data: The tensor data to create fake tensor for Returns: A fake tensor with the appropriate fake_mode Raises: RuntimeError: If the graph has no nodes to extract fake_mode from zGCannot create fake tensor: graph has no nodes to extract fake_mode fromrval)t) listnodes RuntimeError isinstancemetatupletorchfximmutable_collectionsimmutable_listr from_real_tensor fake_mode)rrr example_nodeexample_fake_tensors c/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/executorch/backends/transforms/utils.py_get_fake_tensor_moder's  E  U  8L% 5%((*H*H*W*W"X+//6q9*//6  1 12E2O2OSW 1 XXnodecv[U[RR5=(a URS:H$)zM Returns true if the given node is a get attr node for a tensor of the model get_attr)rrrNodeop)r)s r&is_get_attr_noder.>s' dEHHMM * Dtww*/DDr(exp_progc[U5=(d/ [X5=(d [X5=(d [X5$N)r.r rr r/r)s r& is_param_noder3Es8 5 H # 5 X $ 5 %X 4 r(cUcg[X5(a [X5$[X5(a [X5$[ X5(a [ X5$[ U5(a+[URRUR5$[SURS35e![a# [URUR5s$f=f)Nzunsupported param type, .)r rrrr rr.getattrr owning_moduletargetAttributeError graph_modulerr-r2s r&get_param_tensorr;Ns | ( ! !(( 8 " "()) "8 2 2)(99 $   ?4::33T[[A A 1$''!< == ?800$++> > ?s')B***CC exp_programnamekindpersistent_bufferc^UnU=[R:Xa- [RR USS9UR U'Ov=[R :Xa4 Uc [S5eU(aX@R U'O=X@RU'O.[R:XaX@RU'O [S5e[X5nURSX"S9nXxRS'URV s/sH oRS:XdMU RPM" n n U R!U5mUR"R$n ['U 5V V s/sH'upU R([R*:XdM%U PM) nn n [-U4SjU55(d[S US 35e[/U5n[1X?Xe5nU R3TU5 [5XR"R65nUUlU$s sn fs sn n f) a Creates and returns a constant placeholder node, meaning that it is of type parameter, buffer, or lifted constant tensor. graph.inserting_before/after() should be used before the call to decide where to insert the node, at an insertion point before the first input node. F) requires_gradz6Must set persistent_buffer when creating a new buffer.z%Can only create constant input nodes. placeholderr-r=r8rc3,># UH oT:v M g7fr1).0user_input_index node_indexs r& .create_constant_placeholder..sS@R, USER_INPUTallrrinsertr output_specs_graph_signature)r<rr=r>rr?r8 fake_tensorr)n node_namesrUispecuser_input_indicesarg_spec input_specnew_graph_signaturerHs @r&create_constant_placeholderrebsF  Y -2XX-?-?E.@.K " "6 *Y   ("L#15&&v.04%%f-  & &,0 ! !& ) FG G'4K    D  FD"IIe#(++G+Q1F&!&&+JG!!$'J--99K";//ga499 @T@T3T/ S@RS  v%u v  d#H46EJz:..00==$7K K/Hs3G< G<$H9Hc[UR5S:Xd[SURS35eURURR ;a1URR URnUR U OURURR;aXURRURnX RR;aURU O|UR U OnURURR;a1URRURnURU O[SURS35eURRVs/sH+nURRUR:wdM)UPM- nn[X@RR5nXPlUR R#U5 gs snf)z Deletes a node of type parameter, buffer, or lifted constant tensor and its related graph signature and state_dict/constant entries. The node may not have any users. rzCannot delete input node z! since it has users in the graph.zE since it is not a parameter, a buffer, nor a lifted tensor constant.N)lenusersrr=rTinputs_to_parametersrNinputs_to_buffersnon_persistent_buffersrP!inputs_to_lifted_tensor_constantsrUargr rZr[r erase_node)r<r)r8r`rUrds r&delete_constant_placeholderros tzz?a ' {2S T   yyK//DDD,,AA$))L  " "6 * k11CC C,,>>tyyI 00GG G%%f-&&v. k11SS S,,NN II   ! !& )' {2w x   //;;;D 88==DII % ; /00==$7  JJ$s (G?6G?cFURRVs/sHoRS:XdMUPM nn[U5[URR 5:wa8[ S[U5S[URR 5S35e[X RR 5HXup4URURR:wdM+[ SURSURR35e URR5RSn[U5[URR5:wa8[ S[U5S[URR5S 35e[XPRR5HXup6URURR:wdM+[ S URS URR35e g s snf) zB Validates that the graph signature is up to date with the graph. rBz Graph has z% placeholder nodes but signature has z input specsz Input node z does not match input spec rz output nodes but signature has z output specsz Output node z does not match output spec N) rrr-rgrTrUrzipr=rm output_nodeargsrZ)r<r] placeholdersr)rcoutputs output_specs r&_validate_graph_signaturerws +0066P6!$$-:OA6LP <C ; ; G GHH\*++P;..::;:XdM%U PM) n n n U (aU S OS nURR:n[A[<RB[7U5U5nUR9UU5 URE5n[GURHS 5nUR9X5 U4Ul$[KX5nUUl&U$!,(df  GNb=fs sn n f)a Creates and returns a mutable buffer placeholder node. This is similar to create_constant_placeholder but specifically for creating mutable buffers that can be modified during execution. The difference between this and create_constant_placeholder is that this doesn't expect user to set the correct position for the placeholder node to be inserted, it finds the correct position automatically. It also updates the graph outputs to include the mutable buffer. Args: exp_program: The exported program to modify name: The name for the new buffer node (should start with "b_" prefix by convention) data: The initial tensor data for the buffer Returns: The created placeholder node to be used in the graph zBuffer name cannot be emptyzData must be a torch.Tensorb_NzBuffer target 'z' already exists in state_dictTrc3|# UH2nUR[R[R4;v M4 g7fr1)r>r rQrW)rFr`s r&rI(create_mutable_buffer..Hs1$D )33Y5I5IJJs:<rBrCz$node should be created at this pointr)'strip ValueErrorrrTensor startswithrNrrwr:rr'rTrUrgrXrRrVr>r rQrWinserting_beforer{rrrOrrYrZr USER_OUTPUTrBUFFER_MUTATIONrrrrsr r[)r<r=rr8r?rr\rHr)rUr_r`buffer_input_specuser_output_indices output_indexrZmutation_output_specrrrsrds r&create_mutable_bufferrs2 tzz||677 dELL ) )677 tab'''_VH4RSTTk*%)6"  $ $ * *E(4KJ D--99K ;1$$!! %   M J!-GAyyY66 8L8LMM ++M+,LM ,, D,VDN .  CCC "IIe!..z5 !!rs +>YYu||Y Y>E588==ETEO588==T>>%*XX]]> ell>4)- B B 88>>B B  B ,, B  ~ B XX]]BJ- _- EHHMM- `?8S S(1J(>S XX]]S(r r r ,,r XX]] rr(