Searched refs:ExecutionPreference (Results 1 – 12 of 12) sorted by relevance
/frameworks/ml/nn/common/include/ |
D | ValidateHal.h | 42 bool validateExecutionPreference(ExecutionPreference preference);
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D | HalInterfaces.h | 50 using ::android::hardware::neuralnetworks::V1_1::ExecutionPreference;
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/frameworks/ml/nn/driver/sample/ |
D | SampleDriver.cpp | 64 return prepareModel_1_1(convertToV1_1(model), ExecutionPreference::FAST_SINGLE_ANSWER, in prepareModel() 69 ExecutionPreference preference, in prepareModel_1_1()
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D | SampleDriver.h | 44 Return<ErrorStatus> prepareModel_1_1(const V1_1::Model& model, ExecutionPreference preference,
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/frameworks/ml/nn/runtime/ |
D | VersionedIDevice.h | 146 ErrorStatus prepareModel(const Model& model, ExecutionPreference preference,
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D | VersionedIDevice.cpp | 92 ErrorStatus VersionedIDevice::prepareModel(const Model& model, ExecutionPreference preference, in prepareModel()
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D | ExecutionBuilder.cpp | 560 ExecutionPreference preference = in startComputeOnDevice() 561 static_cast<ExecutionPreference>(ANEURALNETWORKS_PREFER_FAST_SINGLE_ANSWER); in startComputeOnDevice()
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D | ExecutionPlan.cpp | 50 hidlModel, static_cast<ExecutionPreference>(executionPreference), preparedModelCallback); in compile()
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/frameworks/ml/nn/common/ |
D | ValidateHal.cpp | 518 bool validateExecutionPreference(ExecutionPreference preference) { in validateExecutionPreference() 519 return preference == ExecutionPreference::LOW_POWER || in validateExecutionPreference() 520 preference == ExecutionPreference::FAST_SINGLE_ANSWER || in validateExecutionPreference() 521 preference == ExecutionPreference::SUSTAINED_SPEED; in validateExecutionPreference()
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/frameworks/ml/nn/runtime/test/ |
D | TestExecution.cpp | 112 ExecutionPreference preference, in prepareModel_1_1()
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D | TestPartitioningRandom.cpp | 515 Return<ErrorStatus> prepareModel_1_1(const HidlModel& model, ExecutionPreference preference, in prepareModel_1_1()
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D | TestPartitioning.cpp | 245 Return<ErrorStatus> prepareModel_1_1(const Model&, ExecutionPreference, in prepareModel_1_1() argument
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