| /* |
| * 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_GENERATED_TEST_HARNESS_H |
| #define ANDROID_HARDWARE_NEURALNETWORKS_AIDL_GENERATED_TEST_HARNESS_H |
| |
| #include <functional> |
| #include <vector> |
| |
| #include <TestHarness.h> |
| #include "Utils.h" |
| #include "VtsHalNeuralnetworks.h" |
| |
| namespace aidl::android::hardware::neuralnetworks::vts::functional { |
| |
| using NamedModel = Named<const test_helper::TestModel*>; |
| using GeneratedTestParam = std::tuple<NamedDevice, NamedModel>; |
| |
| class GeneratedTestBase : public testing::TestWithParam<GeneratedTestParam> { |
| protected: |
| void SetUp() override; |
| const std::shared_ptr<IDevice> kDevice = getData(std::get<NamedDevice>(GetParam())); |
| const test_helper::TestModel& kTestModel = *getData(std::get<NamedModel>(GetParam())); |
| |
| private: |
| void SkipIfDriverOlderThanTestModel(); |
| }; |
| |
| using FilterFn = std::function<bool(const test_helper::TestModel&)>; |
| std::vector<NamedModel> getNamedModels(const FilterFn& filter); |
| |
| using FilterNameFn = std::function<bool(const std::string&)>; |
| std::vector<NamedModel> getNamedModels(const FilterNameFn& filter); |
| |
| std::string printGeneratedTest(const testing::TestParamInfo<GeneratedTestParam>& info); |
| |
| #define INSTANTIATE_GENERATED_TEST(TestSuite, filter) \ |
| GTEST_ALLOW_UNINSTANTIATED_PARAMETERIZED_TEST(TestSuite); \ |
| INSTANTIATE_TEST_SUITE_P(TestGenerated, TestSuite, \ |
| testing::Combine(testing::ValuesIn(getNamedDevices()), \ |
| testing::ValuesIn(getNamedModels(filter))), \ |
| printGeneratedTest) |
| |
| // Tag for the validation tests, instantiated in VtsHalNeuralnetworks.cpp. |
| // TODO: Clean up the hierarchy for ValidationTest. |
| class ValidationTest : public GeneratedTestBase {}; |
| |
| Model createModel(const test_helper::TestModel& testModel); |
| |
| void PrepareModel(const std::shared_ptr<IDevice>& device, const Model& model, |
| std::shared_ptr<IPreparedModel>* preparedModel); |
| |
| enum class TestKind { |
| // Runs a test model and compares the results to a golden data |
| GENERAL, |
| // Same as GENERAL but sets dimensions for the output tensors to zeros |
| DYNAMIC_SHAPE, |
| // Same as GENERAL but use device memories for inputs and outputs |
| MEMORY_DOMAIN, |
| // Same as GENERAL but use executeFenced for exeuction |
| FENCED_COMPUTE, |
| // Tests if quantized model with TENSOR_QUANT8_ASYMM produces the same result |
| // (OK/SKIPPED/FAILED) as the model with all such tensors converted to |
| // TENSOR_QUANT8_ASYMM_SIGNED. |
| QUANTIZATION_COUPLING, |
| // Runs a test model and verifies that MISSED_DEADLINE_* is returned. |
| INTINITE_LOOP_TIMEOUT |
| }; |
| |
| void EvaluatePreparedModel(const std::shared_ptr<IDevice>& device, |
| const std::shared_ptr<IPreparedModel>& preparedModel, |
| const test_helper::TestModel& testModel, TestKind testKind); |
| |
| void waitForSyncFence(int syncFd); |
| |
| } // namespace aidl::android::hardware::neuralnetworks::vts::functional |
| |
| #endif // ANDROID_HARDWARE_NEURALNETWORKS_AIDL_GENERATED_TEST_HARNESS_H |