h;-rSSKJr /SQrSSKrSSKrSSKJrJrJr SSKJ r SSK J r SSK J r JrJr SSKJrJrJrJrJrJrJrJrJrJrJrJrJrJrJrJ r J!r!J"r"J#r#J$r$J%r%J&r&J'r'J(r(J)r)J*r*J+r+ SS K,J-r-J.r. SS K/J0r0J1r1J2r2 SS K3J4r5 SS KJ6r6J7r7J8r8J9r9J:r:J;r;Jr>J?r?J@r@JArAJBrB \\S \C4rDSrESSjrFSSjrGSSjrHS S!SjjrIS"S#SjjrJS S$SjjrK\E4S%SjjrL\E4S&SjjrMS SSSSSS.S'SjjjrNS S(SjjrO\JrP\LrQ\NrRg))) annotations)7ONNX_ML IR_VERSIONIR_VERSION_2017_10_10IR_VERSION_2017_10_30IR_VERSION_2017_11_3IR_VERSION_2019_1_22IR_VERSION_2019_3_18IR_VERSION_2019_9_19IR_VERSION_2020_5_8IR_VERSION_2021_7_30 EXPERIMENTALSTABLEcheckercomposedefs gen_protohelperhubmapping numpy_helperparserprintershape_inferenceutilsversion_converterAttributeProto FunctionProto GraphProtoMapProto ModelProto NodeProto OperatorProtoOperatorSetIdProtoOperatorSetProtoOperatorStatus OptionalProto SequenceProtoSparseTensorProtoStringStringEntryProtoTensorAnnotation TensorProtoTensorShapeProtoTrainingInfoProto TypeProtoValueInfoProtoVersionconvert_model_to_external_dataload_external_data_for_modelload_model_from_string load_modelload_tensor_from_string load_tensor save_model save_tensorwrite_external_data_tensorsN)IOLiteralUnion) serialization)r)r3r:r2)rrrrrrrrr r r r r r!r"r$r&rr)r*r+r,r-r.r/r0r1)r#r%)r r'r()version) rrrrrrrrrrrrr)protobuf textprotor@c[US5(al[[R"[[ U5R 5(a2[R"[[ U5R 5nU$[R"[[[R4U5n[US5nUR 5nSSS5 U$!,(df  W$=f)Nreadrb) hasattrcallabletypingcastr;bytesrCr=strosPathLikeopen)fcontentreadables G/var/www/fran/franai/venv/lib/python3.13/site-packages/onnx/__init__.py _load_bytesrRsq&hv{{2e9a'@'E'EFF++bi+002 N KKc2;;./ 3 !T]hmmoG N] Ns <C C&c[US5(al[[R"[[ U5R 5(a2[R"[[ U5R U5 g[R"[[[R4U5n[US5nUR U5 SSS5 g!,(df  g=f)Nwritewb) rErFrGrHr;rIrTr=rJrKrLrM)rOrNwritables rQ _save_bytesrWsq'x BuIq(A(G(GHH BuIq!''0 KKc2;;./ 3 !T]h NN7 #]]s <C C%c [U[[R45(a[RR U5$[ US5(a.Uce[RR UR5$g)Nname) isinstancerJrKrLpathabspathrErY)rNs rQ_get_file_pathr]s\!c2;;'((wwq!!q&}}wwqvv&& cHUb[RRU5$[U5=nb@[R R U5up4[RRU5nU=(d [nUce[RRU5$)zQGet the serializer for the given path and format from the serialization registry.) r>registrygetr]rKr[splitextget_format_from_file_extension_DEFAULT_FORMAT)fmtrN file_path_exts rQ_get_serializerris  %%))#..#A&& 3!!),$$CCCH  C ??  ! ! % %c **r^Tc[X5R[U5[55nU(a<[ U5nU(a*[ R RU5n[X55 U$)aLoads a serialized ModelProto into memory. 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When it is not specified, it is inferred from the file extension when ``f`` is a path. If not specified _and_ ``f`` is not a path, 'protobuf' is used. The encoding is assumed to be "utf-8" when the format is a text format. Returns: Loaded in-memory TensorProto. )rirkrRr,)rNrms rQr7r7s" 6 % 7 7 A VVr^cH[U5RU[55$)aLoads a binary string (bytes) that contains serialized ModelProto. Args: s: a string, which contains serialized ModelProto format: The serialization format. When it is not specified, it is inferred from the file extension when ``f`` is a path. If not specified _and_ ``f`` is not a path, 'protobuf' is used. The encoding is assumed to be "utf-8" when the format is a text format. Returns: Loaded in-memory ModelProto. )rirkr!srms rQr4r4s 6 " 4 4Q EEr^cH[U5RU[55$)aLoads a binary string (bytes) that contains serialized TensorProto. Args: s: a string, which contains serialized TensorProto format: The serialization format. When it is not specified, it is inferred from the file extension when ``f`` is a path. If not specified _and_ ``f`` is not a path, 'protobuf' is used. The encoding is assumed to be "utf-8" when the format is a text format. Returns: Loaded in-memory TensorProto. )rirkr,rts rQr6r6s 6 " 4 4Q FFr^Fi)save_as_external_dataall_tensors_to_one_filelocationsize_thresholdconvert_attributec^[U[5(a'[[5R U[ 55nU(a [ XXVU5 [U5nUb*[RRU5n [X 5n[X(5RU5n [X5 g)a" Saves the ModelProto to the specified path and optionally, serialize tensors with raw data as external data before saving. Args: proto: should be a in-memory ModelProto f: can be a file-like object (has "write" function) or a string containing a file name or a pathlike object format: The serialization format. When it is not specified, it is inferred from the file extension when ``f`` is a path. If not specified _and_ ``f`` is not a path, 'protobuf' is used. The encoding is assumed to be "utf-8" when the format is a text format. save_as_external_data: If true, save tensors to external file(s). all_tensors_to_one_file: Effective only if save_as_external_data is True. If true, save all tensors to one external file specified by location. If false, save each tensor to a file named with the tensor name. location: Effective only if save_as_external_data is true. Specify the external file that all tensors to save to. Path is relative to the model path. If not specified, will use the model name. size_threshold: Effective only if save_as_external_data is True. Threshold for size of data. Only when tensor's data is >= the size_threshold it will be converted to external data. To convert every tensor with raw data to external data set size_threshold=0. convert_attribute: Effective only if save_as_external_data is True. If true, convert all tensors to external data If false, convert only non-attribute tensors to external data N)rZrIrirdrkr!r2r]rKr[rlr:serialize_protorW) protorNrmrwrxryrzr{rpbasepath serializeds rQr8r8sJ%0BB5*,W& HFW $A&N!77??>2+E< 8HHOJ r^cN[X!5RU5n[X15 g)a Saves the TensorProto to the specified path. Args: proto: should be a in-memory TensorProto f: can be a file-like object (has "write" function) or a string containing a file name or a pathlike object. format: The serialization format. When it is not specified, it is inferred from the file extension when ``f`` is a path. If not specified _and_ ``f`` is not a path, 'protobuf' is used. The encoding is assumed to be "utf-8" when the format is a text format. 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