/* * Copyright (C) 2021 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #ifndef ANDROID_HARDWARE_NEURALNETWORKS_AIDL_VTS_HAL_NEURALNETWORKS_H #define ANDROID_HARDWARE_NEURALNETWORKS_AIDL_VTS_HAL_NEURALNETWORKS_H #include #include #include #include "Callbacks.h" #include "Utils.h" namespace aidl::android::hardware::neuralnetworks::vts::functional { using NamedDevice = Named>; using NeuralNetworksAidlTestParam = NamedDevice; class NeuralNetworksAidlTest : public testing::TestWithParam { protected: void SetUp() override; const std::shared_ptr kDevice = getData(GetParam()); }; const std::vector& getNamedDevices(); std::string printNeuralNetworksAidlTest( const testing::TestParamInfo& info); #define INSTANTIATE_DEVICE_TEST(TestSuite) \ GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(TestSuite); \ INSTANTIATE_TEST_SUITE_P(PerInstance, TestSuite, testing::ValuesIn(getNamedDevices()), \ printNeuralNetworksAidlTest) // Create an IPreparedModel object. If the model cannot be prepared, // "preparedModel" will be nullptr instead. void createPreparedModel(const std::shared_ptr& device, const Model& model, std::shared_ptr* preparedModel, bool reportSkipping = true); enum class Executor { SYNC, BURST, FENCED }; std::string toString(Executor executor); } // namespace aidl::android::hardware::neuralnetworks::vts::functional #endif // ANDROID_HARDWARE_NEURALNETWORKS_AIDL_VTS_HAL_NEURALNETWORKS_H