Searched refs:canonicalModel (Results 1 – 5 of 5) sorted by relevance
41 const auto canonicalModel = convert(model); in getSupportedOperations() local42 if (!canonicalModel.has_value()) { in getSupportedOperations()43 return toAStatus(aidl_hal::ErrorStatus::INVALID_ARGUMENT, canonicalModel.error().message); in getSupportedOperations()45 *supportedOperations = getSupportedOperationsImpl(canonicalModel.value()); in getSupportedOperations()55 const auto canonicalModel = convert(model); in prepareModel() local56 if (!canonicalModel.has_value()) { in prepareModel()58 return toAStatus(aidl_hal::ErrorStatus::INVALID_ARGUMENT, canonicalModel.error().message); in prepareModel()60 std::vector<bool> supported = getSupportedOperationsImpl(canonicalModel.value()); in prepareModel()
49 const auto canonicalModel = convert(model); in getSupportedOperations() local50 if (!canonicalModel.has_value()) { in getSupportedOperations()51 return toAStatus(aidl_hal::ErrorStatus::INVALID_ARGUMENT, canonicalModel.error().message); in getSupportedOperations()53 const size_t count = canonicalModel.value().main.operations.size(); in getSupportedOperations()56 const Operation& operation = canonicalModel.value().main.operations[i]; in getSupportedOperations()
74 const auto canonicalModel = convert(model); in prepareModelBase() local75 if (!canonicalModel.has_value()) { in prepareModelBase()83 logModelToInfo(canonicalModel.value()); in prepareModelBase()
12 const nn::Model canonicalModel = createModelWhichHasV1_3Operations();13 const nn::Result<V1_0::Model> maybeVersionedModel = V1_0::utils::convert(canonicalModel);18 const nn::Model canonicalModel = createModelWhichHasOnlyV1_0Operations();19 const nn::Result<V1_0::Model> maybeVersionedModel = V1_0::utils::convert(canonicalModel);
746 const Model canonicalModel = m->makeModel(); in ANeuralNetworksModel_getSupportedOperationsForDevices() local765 const MetaModel metaModel(canonicalModel, DeviceManager::get()->strictSlicing()); in ANeuralNetworksModel_getSupportedOperationsForDevices()