o wif/@sddlmZgdZddlZddlZddlmZmZmZddlm Z ddl m Z ddl m Z mZmZddlmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZm Z m!Z!m"Z"m#Z#m$Z$m%Z%m&Z&m'Z'm(Z(m)Z)m*Z*m+Z+m,Z,m-Z-m.Z.m/Z/m0Z0m1Z1m2Z2m3Z3dd l4m5Z5m6Z6dd l7m8Z8m9Z9m:Z:dd l;mZ>m?Z?m@Z@mAZAmBZBmCZCmDZDmEZEmFZFmGZGmHZHmIZImJZJeed eKfZLdZMdCddZNdDddZOdEddZP dFdGd!d"ZQ  #dHdId(d)ZR dFdJd+d,ZSeMfdKd0d1ZTeMfdLd2d3ZU dFd4d#dd5d4d6dMd?d@ZV dFdNdAdBZWeRZXeTZYeVZZdS)O) annotations)?ONNX_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_30IR_VERSION_2023_5_5IR_VERSION_2024_3_25 EXPERIMENTALSTABLEcheckercomposedefs gen_protohelperhubmapping numpy_helperparserprintershape_inferenceutilsversion_converterAttributeProtoDeviceConfigurationProto FunctionProto GraphProtoIntIntListEntryProtoMapProto ModelProtoNodeDeviceConfigurationProto NodeProto OperatorProtoOperatorSetIdProtoOperatorSetProtoOperatorStatus OptionalProto SequenceProtoSimpleShardedDimProtoShardedDimProtoShardingSpecProtoSparseTensorProtoStringStringEntryProtoTensorAnnotation 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)r:rAr9)#rrrr r!r"rrrrrr r r r r rr$r%r&r(r*rr-r.r/r0r1r2r3r4r5r6r7r8)r'r))r#r+r,)version) rrrrrrrrrrrrr)protobuf textprotoonnxtxtjsonrGfIO[bytes] | str | os.PathLikereturnbytescCst|drtttt|jrttt|}|Stttt j f|}t |d }|}Wd|S1swYdS)Nwritewb) rQrRrSrTrBrNr_rDrUrVrWrX)rYrKwritabler[r[r\ _save_bytess   "rb$IO[bytes] | str | os.PathLike | None str | NonecCsDt|ttjfrtj|St|dr |dusJtj|jSdS)Nname) isinstancerUrVrWpathabspathrQre)rKr[r[r\_get_file_paths    rifmt_SupportedFormat | None$str | os.PathLike | IO[bytes] | Noneserialization.ProtoSerializercCs`|dur tj|St|}dur tj|\}}tj|}|p#t}|dus*Jtj|S)zQGet the serializer for the given path and format from the serialization registry.N) rEregistrygetrirVrgsplitextget_format_from_file_extension_DEFAULT_FORMAT)rjrK file_path_extr[r[r\_get_serializers    rvTformatload_external_databoolr$cCsBt||t|t}|rt|}|rtj|}t|||S)aLoads a serialized ModelProto into memory. 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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. )rvrzr]r3)rKrwr[r[r\r>sr>s bytes | str_SupportedFormatcCt||tS)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. )rvrzr$rrwr[r[r\r;r;cCr)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. )rvrzr3rr[r[r\r=rr=Fi)save_as_external_dataall_tensors_to_one_filelocationsize_thresholdconvert_attributeprotoModelProto | bytesrrrrintrc Cstt|trtt|t}|rt|||||t|}|dur+tj |} t || }t|| |} t | |dS)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)rfrNrvrrrzr$r9rirVrgr{rAserialize_protorb) rrKrwrrrrrr}basepath serializedr[r[r\r?&s $   r?cCst|||}t||dS)aSaves the TensorProto to the specified path. 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