160 ErrorStatus ArmnnPreparedModel::PrepareMemoryForInputs(  in PrepareMemoryForInputs()
179             return ErrorStatus::GENERAL_FAILURE;  in PrepareMemoryForInputs()
184     return ErrorStatus::NONE;  in PrepareMemoryForInputs()
187 ErrorStatus ArmnnPreparedModel::PrepareMemoryForOutputs(  in PrepareMemoryForOutputs()
203             return ErrorStatus::GENERAL_FAILURE;  in PrepareMemoryForOutputs()
232             return ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;  in PrepareMemoryForOutputs()
245                 return ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;  in PrepareMemoryForOutputs()
249     return ErrorStatus::NONE;  in PrepareMemoryForOutputs()
252 ErrorStatus ArmnnPreparedModel::PrepareMemoryForIO(armnn::InputTensors& inputs,  in PrepareMemoryForIO()
264             return ErrorStatus::INVALID_ARGUMENT;  in PrepareMemoryForIO()
267         if (PrepareMemoryForInputs(inputs, request, memPools) != ErrorStatus::NONE)  in PrepareMemoryForIO()
270             return ErrorStatus::GENERAL_FAILURE;  in PrepareMemoryForIO()
276         if (errorStatus != ErrorStatus::NONE)  in PrepareMemoryForIO()
284         return ErrorStatus::GENERAL_FAILURE;  in PrepareMemoryForIO()
289         return ErrorStatus::GENERAL_FAILURE;  in PrepareMemoryForIO()
292     return ErrorStatus::NONE;  in PrepareMemoryForIO()
317             return NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << modelRequest.error();  in execute()
323         return NN_ERROR(ErrorStatus::MISSED_DEADLINE_PERSISTENT);  in execute()
335     ErrorStatus theErrorStatus = PrepareMemoryForIO(*inputTensors,  in execute()
343         case ErrorStatus::OUTPUT_INSUFFICIENT_SIZE:  in execute()
344             return NN_ERROR(ErrorStatus::OUTPUT_INSUFFICIENT_SIZE);  in execute()
345         case ErrorStatus::GENERAL_FAILURE:  in execute()
346             return NN_ERROR(ErrorStatus::GENERAL_FAILURE);  in execute()
347         case ErrorStatus::INVALID_ARGUMENT:  in execute()
348             return NN_ERROR(ErrorStatus::INVALID_ARGUMENT);  in execute()
366     if (errorStatus != ErrorStatus::NONE)  in execute()
375 ErrorStatus ArmnnPreparedModel::ExecuteGraph(  in ExecuteGraph()
440             return ErrorStatus::GENERAL_FAILURE;  in ExecuteGraph()
446         return ErrorStatus::GENERAL_FAILURE;  in ExecuteGraph()
451         return ErrorStatus::GENERAL_FAILURE;  in ExecuteGraph()
469     return ErrorStatus::NONE;  in ExecuteGraph()
494             return NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << modelRequest.error();  in executeFenced()
500         return NN_ERROR(ErrorStatus::MISSED_DEADLINE_PERSISTENT);  in executeFenced()
515             return NN_ERROR(ErrorStatus::INVALID_ARGUMENT);  in executeFenced()
519             return NN_ERROR(ErrorStatus::GENERAL_FAILURE) << "syncWait failed";  in executeFenced()
538     ErrorStatus theErrorStatus = PrepareMemoryForIO(*inputTensors,  in executeFenced()
544     if (theErrorStatus != ErrorStatus::NONE)  in executeFenced()
546         return NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << "executeFenced() failed";  in executeFenced()
570                     case ErrorStatus::OUTPUT_INSUFFICIENT_SIZE:  in executeFenced()
571                         result.error().code = (ErrorStatus::OUTPUT_INSUFFICIENT_SIZE);  in executeFenced()
573                     case ErrorStatus::GENERAL_FAILURE:  in executeFenced()
574                         result.error().code = (ErrorStatus::GENERAL_FAILURE);  in executeFenced()
576                     case ErrorStatus::INVALID_ARGUMENT:  in executeFenced()
577                         result.error().code = (ErrorStatus::INVALID_ARGUMENT);  in executeFenced()
685     return errorStatus == ErrorStatus::NONE;  in ExecuteWithDummyInputs()