Si&SrSSKJr /SQrSSKrSSKrSSKJr SSKr SSK J s J r SSKJr \(aSSKJr Sr\ R&"5r\\lS \ R,R/50\l\ R2"5rSS jr\4SS jjr\4SS jjr\\4SS jjr\\4SSjjrS\4SSjjr \\4SSjjr!\4SSjjr"SSSjjr#\ RHr$g)zDGraph utilities for checking whether an ONNX proto message is legal.) annotations) check_attributecheck_function check_graph check_model check_nodecheck_sparse_tensor check_tensorcheck_value_infoDEFAULT_CONTEXTLEXICAL_SCOPE_CONTEXTValidationErrorCMAXIMUM_PROTOBUFN) TYPE_CHECKING) IR_VERSION)MessagelcV[X5(d[SURS35eg)Nz'The proto message needs to be of type '') isinstance TypeError__name__)proto proto_types K/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/onnx/checker.py_ensure_proto_typer0s2 e ( (5j6I6I5J! L   )c[U[R5 [R"UR 5U5$N)ronnxValueInfoProtorr SerializeToString) value_infoctxs rr r 7s0z4#6#67  j::s.vt//0 >>&224c ::rc[U[R5 [R"UR 5X5$r )rr!AttributeProtorrr#)attrr%lexical_scope_ctxs rrrEs0 tT001  T335s NNrc[U[R5 [R"UR 5X5$r )rr! NodeProtorrr#)noder%r,s rrrNs, tT^^, <<..0# IIrc[U[R5 Ucy[R"5n[R R URSS9UlURVs0sHnURUR_M snUl [R"UR5X5 gs snf)NT)ignore_unknown)rr! FunctionProtorCheckerContexthelperfind_min_ir_version_for opset_import ir_versiondomainversion opset_importsrr#)functionr%r,domain_versions rrrWs x!3!34 { <<  ! !$=  #+"7"7 "7  ! !>#9#9 9"7 X//13J  s.!B=c[U[R5 [R"UR 5X5$r )rr! GraphProtorrr#)graphr%r,s rrris, udoo. ==002C KKrc[U[R5 [R"UR 5U5 gr )rr!SparseTensorProtorr r#)sparser%s rr r rs-vt556&224c:rc|[U[[R45(a.[R "[R "U5UUU5 g[U[5(aUOUR5n[R"U5[:a [S5e[R"UUUU5 g)a6Check the consistency of a model. An exception will be raised if the model's ir_version is not set properly or is higher than checker's ir_version, or if the model has duplicate keys in metadata_props. If IR version >= 3, the model must specify opset_import. If IR version < 3, the model cannot have any opset_import specified. Args: model: Model to check. If model is a path, the function checks model path first. If the model bytes size is larger than 2GB, function should be called using model path. full_check: If True, the function also runs shape inference check. skip_opset_compatibility_check: If True, the function skips the check for opset compatibility. check_custom_domain: If True, the function will check all domains. Otherwise only check built-in domains. z[This protobuf of onnx model is too large (>2GiB). Call check_model with model path instead.N)rstrosPathLikercheck_model_pathfspathbytesr#sys getsizeofr ValueErrorr)model full_checkskip_opset_compatibility_checkcheck_custom_domainprotobuf_strings rrrys4%#r{{+,,  IIe   *    u--E53J3J3L  == ),< <m    *   r)rrrz type[Message]returnNone)r$zonnx.ValueInfoProtor%C.CheckerContextrRrS)r(zonnx.TensorProtor%rTrRrS)r+zonnx.AttributeProtor%rTr,C.LexicalScopeContextrRrS)r/zonnx.NodeProtor%rTr,rUrRrS)r;zonnx.FunctionProtor%zC.CheckerContext | Noner,rUrRrS)r?zonnx.GraphProtor%rTr,rUrRrS)rBzonnx.SparseTensorProtor%rTrRrS)FFF) rMz+onnx.ModelProto | str | bytes | os.PathLikerNboolrOrVrPrVrRrS)%__doc__ __future__r__all__rErJtypingr onnx.defsr!onnx.onnx_cpp2py_export.checkeronnx_cpp2py_exportcheckerr onnx.onnx_pbrgoogle.protobuf.messagerrr3r r7defsonnx_opset_versionr:LexicalScopeContextr rr r rrrrr rrrrresK"   ++#/""$'!#TYY%A%A%C D--/ >MC#C*:C C7F; ;#3; ;,/DO O O-O O,/DJ J J-J J$(/DK K K-K K(,/DL L L-L L=L; ";)9; ;+0 % 0 60 0 %)0  0  0 f##r