tbSrSSKrSSKJr SSKJr SSKJr SSKJr Sr Sr "S S \ 5r g) zUtilities for Edge ML API.N)encoding_helper) operations)util) propertiesc0[R"SSUSS9$)z?Converts model[.tflite] style filename to model_edgetpu.tflite.z (\.tflite)?$z_edgetpu.tflitecountresubsources +lib/googlecloudsdk/api_lib/edgeml/edgeml.py_CompileDestinationrs !2F! DDc0[R"SSUSS9$)zGConverts model[/saved_model.(pb|pbtxt)] style filename to model.tflite.z(/saved_model\.(pb|pbtxt))?$z.tfliterr r rs r_ConvertDestinationrs /F! LLrc<\rSrSrSrS SjrSrS SjrS SjrSr g) EdgeMlClient$z}Client for Edge ML service. Attributes: client: Generated Edge ML API client. messages: Generated Edge ML API messages. NcU=(d [R"5UlU=(d [R"U5UlURR Ul[R"X5Ul gN) rGetClientInstanceclientGetMessagesModulemessagesprojects_models_servicerOperationsClient_operations_client)selfrrs r__init__EdgeMlClient.__init__,sR4D224DK> 6 6v >DMKK//DM(99&KDrcS[RRRR 5-nUR R UR RUR RU/S9S9US9nURRU5nURRU5n[R"UR R[R "U55nU$)aAnalyzes a machine learning model. The AnalyzeResponse will contain model's framework, and for TF models it will also contain Edge TPU compiliability and input/output tensor information. Args: source: str, GCS object URI to the model file or directory to analyze. Returns: AnalyzedResponse on the finish of analyze operation. Raises: LongrunningError: when long running operation fails. projects/ inputUris gcsSource)analyzeModelRequestproject)rVALUEScorer, GetOrFailr"EdgemlProjectsModelsAnalyzeRequestAnalyzeModelRequest GcsSourcerAnalyzer!WaitForOperationr JsonToMessageAnalyzeModelResponse MessageToJson)r"rr, analyze_req operationresultresponses rr3EdgeMlClient.Analyze2s J--22::DDFFG--BB MM==mm---A>CCK %%k2I  $ $ 5 5i @F,, **%%f-/H OrcS[RRRR 5-nU(d [ U5nUR RnURRnUR RUR RU/S9S9nUR RUR RUS9S9nUR RU"UUUS9US9nURR!U5n UR"R%U 5n [&R("UR R*[&R,"U 55n X4$)aOptimizes a TFLite model for EdgeTPU. Args: source: str, GCS object URI to the model file to compile. Must be a .tflite file. destination: str, GCS URI to an output tflite object. If not provided, for source filename `model[.tflite]` this will be set to `model_edgetpu.tflite`. Returns: (CompileModelResponse, output object URI) on the finish of compilation. Raises: LongrunningError: when long running operation fails. r&r'r) outputUrigcsDestination)chipType inputConfig outputConfig)compileModelRequestr,)rr-r.r,r/rrCompileModelRequestChipTypeValueValuesEnum EDGE_TPU_V1 InputConfigr2 OutputConfigGcsDestination"EdgemlProjectsModelsCompileRequestrCompiler!r4rr5CompileModelResponser7) r"r destinationr,compile_req_type chip_type input_config output_config compile_reqr9r:r;s rrMEdgeMlClient.CompileOsJ J--22::DDFFG '/k}}88 88DDI==,,--))VH)=-?LMM..}}33k3J/LM--BB,$&( CK %%k2I  $ $ 5 5i @F,, **%%f-/H   rcS[RRRR 5-nU(d [ U5nUR RUR RU/S9S9nUR RUR RUS9S9nUR RUR RXES9US9nURRU5nURR!U5n["R$"UR R&["R("U55n X4$)aConverts Tensorflow SavedModel to TFLite model. Args: source: str, GCS URI to an input SavedModel archive destination: str, GCS URI to an output tflite object. If not provided, for source filename `model[/saved_model.(pb|pbtxt)]` this will be set to `model.tflite`. Returns: (ConvertModelResponse, output object URI) on the finish of convert operation. Raises: LongrunningError: when long running operation fails. r&r'r)r>r@)rCrD)convertModelRequestr,)rr-r.r,r/rrrIr2rJrK"EdgemlProjectsModelsConvertRequestConvertModelRequestrConvertr!r4rr5ConvertModelResponser7) r"rrOr,rRrS convert_reqr9r:r;s rrZEdgeMlClient.Convertys1 J--22::DDFFG '/k==,,--))VH)=-?LMM..}}33k3J/LM--BB MM==$>BCK  %%k2I  $ $ 5 5i @F,, **%%f-/H   r)r!rrr)NNr) __name__ __module__ __qualname____firstlineno____doc__r#r3rMrZ__static_attributes__rrrr$sL :(!T$!rr) rbr apitools.base.pyrgooglecloudsdk.api_lib.edgemlrrgooglecloudsdk.corerrrobjectrrdrrris5! ,4.*E M y!6y!r