/* * Copyright (C) 2019 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. */ #include #include #include #include #include #include #include #include #include #include #include #include "HalUtils.h" #include "Manager.h" #include "TestNeuralNetworksWrapper.h" using namespace android::nn; namespace hardware = android::hardware; using WrapperResult = test_wrapper::Result; using Type = test_wrapper::Type; const V1_2::Timing kBadTiming = {.timeOnDevice = UINT64_MAX, .timeInDriver = UINT64_MAX}; template using MQDescriptorSync = ::android::hardware::MQDescriptorSync; using android::sp; namespace android::hardware::neuralnetworks::V1_0 { ::std::ostream& operator<<(::std::ostream& os, V1_3::ErrorStatus errorStatus) { return os << toString(errorStatus); } } // namespace android::hardware::neuralnetworks::V1_0 namespace { enum class HasCalledPrepareModel { NO, WITHOUT_CACHING, WITH_CACHING }; // Print HasCalledPrepareModel enum for better GTEST failure messages std::ostream& operator<<(std::ostream& os, HasCalledPrepareModel hasCalledPrepareModel) { switch (hasCalledPrepareModel) { case HasCalledPrepareModel::NO: return os << "NO"; case HasCalledPrepareModel::WITHOUT_CACHING: return os << "WITHOUT_CACHING"; case HasCalledPrepareModel::WITH_CACHING: return os << "WITH_CACHING"; } CHECK(false) << "HasCalledPrepareModel print called with invalid code " << static_cast(hasCalledPrepareModel); return os; } // Whether the driver is expected to be registered because it can pass initialization. bool canDeviceBeRegistered(V1_3::ErrorStatus error, uint32_t numModelCache, uint32_t numDataCache) { constexpr uint32_t maxNumCacheFiles = static_cast(V1_2::Constant::MAX_NUMBER_OF_CACHE_FILES); return error == V1_3::ErrorStatus::NONE && numModelCache <= maxNumCacheFiles && numDataCache <= maxNumCacheFiles; } // Whether the driver supports caching based on the returns from getNumberOfCacheFilesNeeded. bool isCachingSupported(uint32_t numModelCache, uint32_t numDataCache) { return numModelCache != 0 || numDataCache != 0; } // This is an IDevice for testing purposes which overrides several methods from sample driver: // - supports all the operations and is faster than cpu fallback. // - overrides getNumberOfCacheFilesNeeded to report according to given parameters. // - overrides prepareModelFromCache_1_3 to return error status according to // mErrorStatusPrepareFromCache. // - produces CachingPreparedModel on prepareModel and prepareModelFromCache_1_3. // // The cache entry is written by prepareModel_1_3 and is checked later by // CachingDriver::prepareModelFromCache_1_3. // // The CachingDriver has 2 flags mHasCalledPrepareModelFromCache and mHasCalledPrepareModel // to check if the correct methods are invoked by the runtime. class CachingDriver : public sample_driver::SampleDriver { private: static constexpr size_t kCacheSize = 256; class CachingPreparedModel : public V1_3::IPreparedModel { public: CachingPreparedModel() = default; hardware::Return execute(const V1_0::Request&, const sp&) override { return V1_0::ErrorStatus::DEVICE_UNAVAILABLE; } hardware::Return execute_1_2( const V1_0::Request&, V1_2::MeasureTiming, const sp&) override { return V1_0::ErrorStatus::DEVICE_UNAVAILABLE; } hardware::Return execute_1_3( const V1_3::Request&, V1_2::MeasureTiming, const V1_3::OptionalTimePoint&, const V1_3::OptionalTimeoutDuration&, const sp&) override { return V1_3::ErrorStatus::DEVICE_UNAVAILABLE; } hardware::Return executeSynchronously(const V1_0::Request&, V1_2::MeasureTiming, executeSynchronously_cb cb) override { cb(V1_0::ErrorStatus::DEVICE_UNAVAILABLE, {}, kBadTiming); return hardware::Void(); } hardware::Return executeSynchronously_1_3(const V1_3::Request&, V1_2::MeasureTiming, const V1_3::OptionalTimePoint&, const V1_3::OptionalTimeoutDuration&, executeSynchronously_1_3_cb cb) override { cb(V1_3::ErrorStatus::DEVICE_UNAVAILABLE, {}, kBadTiming); return hardware::Void(); } hardware::Return configureExecutionBurst( const sp&, const MQDescriptorSync&, const MQDescriptorSync&, configureExecutionBurst_cb cb) override { cb(V1_0::ErrorStatus::DEVICE_UNAVAILABLE, nullptr); return hardware::Void(); } hardware::Return executeFenced(const V1_3::Request&, const hardware::hidl_vec&, V1_2::MeasureTiming, const V1_3::OptionalTimePoint&, const V1_3::OptionalTimeoutDuration&, const V1_3::OptionalTimeoutDuration&, executeFenced_cb cb) { cb(V1_3::ErrorStatus::DEVICE_UNAVAILABLE, hardware::hidl_handle(nullptr), nullptr); return hardware::Void(); } }; public: CachingDriver(std::string_view name, V1_3::ErrorStatus errorStatusGetNumCacheFiles, uint32_t numModelCache, uint32_t numDataCache, V1_3::ErrorStatus errorStatusPrepareFromCache) : SampleDriver(name.data()), mErrorStatusGetNumCacheFiles(errorStatusGetNumCacheFiles), mNumModelCache(numModelCache), mNumDataCache(numDataCache), mErrorStatusPrepareFromCache(errorStatusPrepareFromCache) { mModelCacheData.resize(kCacheSize); std::iota(mModelCacheData.begin(), mModelCacheData.end(), 0); mDataCacheData.resize(kCacheSize); std::iota(mDataCacheData.begin(), mDataCacheData.end(), 1); } ~CachingDriver() override {} // Reports faster than cpu. hardware::Return getCapabilities_1_3(getCapabilities_1_3_cb cb) override { android::nn::initVLogMask(); const V1_0::PerformanceInfo kPerf = {.execTime = 0.1, .powerUsage = 0.1}; V1_3::Capabilities capabilities = { .relaxedFloat32toFloat16PerformanceScalar = kPerf, .relaxedFloat32toFloat16PerformanceTensor = kPerf, .operandPerformance = nonExtensionOperandPerformance(kPerf), .ifPerformance = kPerf, .whilePerformance = kPerf}; cb(V1_3::ErrorStatus::NONE, capabilities); return hardware::Void(); } // Reports supporting all operations. hardware::Return getSupportedOperations_1_3(const V1_3::Model& model, getSupportedOperations_1_3_cb cb) override { std::vector supported(model.main.operations.size(), true); cb(V1_3::ErrorStatus::NONE, supported); return hardware::Void(); } // Reports according to mGetNumCacheFiles. hardware::Return getNumberOfCacheFilesNeeded(getNumberOfCacheFilesNeeded_cb cb) override { cb(convertToV1_0(mErrorStatusGetNumCacheFiles), mNumModelCache, mNumDataCache); return hardware::Void(); } // Generates CachingPreparedModel. // Writes the cache entry per mCacheXData and sets mHasCalledPrepareModel. hardware::Return prepareModel_1_3( const V1_3::Model&, V1_1::ExecutionPreference, V1_3::Priority, const V1_3::OptionalTimePoint&, const hardware::hidl_vec& modelCacheHandle, const hardware::hidl_vec& dataCacheHandle, const HalCacheToken&, const sp& cb) override { checkNumberOfCacheHandles(modelCacheHandle.size(), dataCacheHandle.size()); if (modelCacheHandle.size() != 0 || dataCacheHandle.size() != 0) { writeToCache(modelCacheHandle, mModelCacheData); writeToCache(dataCacheHandle, mDataCacheData); mHasCalledPrepareModel = HasCalledPrepareModel::WITH_CACHING; } else { mHasCalledPrepareModel = HasCalledPrepareModel::WITHOUT_CACHING; } cb->notify_1_3(V1_3::ErrorStatus::NONE, new CachingPreparedModel()); return V1_3::ErrorStatus::NONE; } // Checks if the cache entry is correct, notifies error status according to // mErrorStatusPrepareFromCache, sets mHasCalledPrepareModelFromCache. hardware::Return prepareModelFromCache_1_3( const V1_3::OptionalTimePoint&, const hardware::hidl_vec& modelCacheHandle, const hardware::hidl_vec& dataCacheHandle, const HalCacheToken&, const sp& callback) override { readFromCache(modelCacheHandle, mModelCacheData); readFromCache(dataCacheHandle, mDataCacheData); mHasCalledPrepareModelFromCache = true; if (mErrorStatusPrepareFromCache == V1_3::ErrorStatus::NONE) { callback->notify_1_3(mErrorStatusPrepareFromCache, new CachingPreparedModel()); } else { callback->notify_1_3(mErrorStatusPrepareFromCache, nullptr); } return V1_3::ErrorStatus::NONE; }; bool hasCalledPrepareModelFromCache() const { return mHasCalledPrepareModelFromCache; } HasCalledPrepareModel hasCalledPrepareModel() const { return mHasCalledPrepareModel; } private: // Checks the number of cache files passed to the driver from runtime. void checkNumberOfCacheHandles(size_t modelCache, size_t dataCache) { if (isCachingSupported(mNumModelCache, mNumDataCache)) { if (modelCache != 0 || dataCache != 0) { ASSERT_EQ(modelCache, mNumModelCache); ASSERT_EQ(dataCache, mNumDataCache); } } else { ASSERT_EQ(modelCache, 0ul); ASSERT_EQ(dataCache, 0ul); } } void writeToCache(const hardware::hidl_vec& handles, const std::vector& cache) { for (uint32_t i = 0; i < handles.size(); ++i) { ASSERT_EQ(handles[i]->numFds, 1); EXPECT_EQ(write(handles[i]->data[0], cache.data(), kCacheSize), static_cast(kCacheSize)); } } void readFromCache(const hardware::hidl_vec& handles, const std::vector& expected) { for (uint32_t i = 0; i < handles.size(); ++i) { ASSERT_EQ(handles[i]->numFds, 1); std::vector actual(kCacheSize); EXPECT_EQ(read(handles[i]->data[0], actual.data(), kCacheSize), static_cast(kCacheSize)); EXPECT_EQ(actual, expected); } } std::vector mModelCacheData; std::vector mDataCacheData; const V1_3::ErrorStatus mErrorStatusGetNumCacheFiles; const uint32_t mNumModelCache; const uint32_t mNumDataCache; const V1_3::ErrorStatus mErrorStatusPrepareFromCache; bool mHasCalledPrepareModelFromCache = false; HasCalledPrepareModel mHasCalledPrepareModel = HasCalledPrepareModel::NO; }; void CreateBroadcastAddModel(test_wrapper::Model* model) { test_wrapper::OperandType matrixType(Type::TENSOR_FLOAT32, {2, 2}); test_wrapper::OperandType vectorType(Type::TENSOR_FLOAT32, {2}); test_wrapper::OperandType scalarType(Type::INT32, {}); int32_t activation(ANEURALNETWORKS_FUSED_NONE); auto a = model->addOperand(&matrixType); auto b = model->addOperand(&vectorType); auto c = model->addOperand(&matrixType); auto d = model->addOperand(&scalarType); model->setOperandValue(d, &activation, sizeof(activation)); model->addOperation(ANEURALNETWORKS_ADD, {a, b, d}, {c}); model->identifyInputsAndOutputs({a, b}, {c}); ASSERT_TRUE(model->isValid()); ASSERT_EQ(model->finish(), WrapperResult::NO_ERROR); } void getDeviceWithName(std::string_view deviceName, const ANeuralNetworksDevice** outputDevice) { uint32_t numDevices = 0; ASSERT_EQ(ANeuralNetworks_getDeviceCount(&numDevices), ANEURALNETWORKS_NO_ERROR); EXPECT_GE(numDevices, (uint32_t)1); int numMatchingDevices = 0; for (uint32_t i = 0; i < numDevices; i++) { ANeuralNetworksDevice* device = nullptr; ASSERT_EQ(ANeuralNetworks_getDevice(i, &device), ANEURALNETWORKS_NO_ERROR); const char* buffer = nullptr; ASSERT_EQ(ANeuralNetworksDevice_getName(device, &buffer), ANEURALNETWORKS_NO_ERROR); if (deviceName == buffer) { *outputDevice = device; numMatchingDevices++; } } EXPECT_LE(numMatchingDevices, 1); } // Test device registration with a driver parameterized with // - ErrorStatus returning from getNumberOfCacheFilesNeeded // - Number of model cache files returning from getNumberOfCacheFilesNeeded // - Number of data cache files returning from getNumberOfCacheFilesNeeded using DeviceRegistrationTestParam = std::tuple; class DeviceRegistrationTest : public ::testing::TestWithParam { protected: static constexpr std::string_view kDeviceName = "deviceTestCompilationCaching"; const V1_3::ErrorStatus kErrorStatusGetNumCacheFiles = std::get<0>(GetParam()); const uint32_t kNumModelCache = std::get<1>(GetParam()); const uint32_t kNumDataCache = std::get<2>(GetParam()); const sp kDriver = new CachingDriver(kDeviceName, kErrorStatusGetNumCacheFiles, kNumModelCache, kNumDataCache, V1_3::ErrorStatus::NONE); }; TEST_P(DeviceRegistrationTest, CachingFailure) { if (DeviceManager::get()->getUseCpuOnly()) { return; } DeviceManager::get()->forTest_registerDevice(makeSharedDevice(kDeviceName.data(), kDriver)); const auto cleanup = android::base::make_scope_guard( [] { DeviceManager::get()->forTest_reInitializeDeviceList(); }); // get device const ANeuralNetworksDevice* device = nullptr; getDeviceWithName(kDeviceName, &device); // check if device registeration matches expectations const bool isDeviceRegistered = (device != nullptr); const bool expectDeviceToBeRegistered = canDeviceBeRegistered(kErrorStatusGetNumCacheFiles, kNumModelCache, kNumDataCache); ASSERT_EQ(isDeviceRegistered, expectDeviceToBeRegistered); } // Test model compilation with a driver parameterized with // - Number of model cache files returning from getNumberOfCacheFilesNeeded // - Number of data cache files returning from getNumberOfCacheFilesNeeded // - ErrorStatus returning from prepareModelFromCache_1_3 using CompilationCachingTestParam = std::tuple; class CompilationCachingTest : public ::testing::TestWithParam { protected: virtual void SetUp() override { char cacheDirTemp[] = "/data/local/tmp/AVeryLongDirectoryNameForTestCompilationCachingXXXXXX"; char* cacheDir = mkdtemp(cacheDirTemp); ASSERT_NE(cacheDir, nullptr); mCacheDir = cacheDir; CreateBroadcastAddModel(&mModel); } virtual void TearDown() override { if (!::testing::Test::HasFailure()) { std::filesystem::remove_all(mCacheDir); } } void compileModel(const sp& driver, bool withToken) { DeviceManager::get()->forTest_registerDevice(makeSharedDevice(kDeviceName.data(), driver)); const auto cleanup = android::base::make_scope_guard( [] { DeviceManager::get()->forTest_reInitializeDeviceList(); }); // Get a handle to the single driver device matching kDeviceName. const ANeuralNetworksDevice* device = nullptr; getDeviceWithName(kDeviceName, &device); ASSERT_NE(device, nullptr); // Compile the model with the device. ANeuralNetworksCompilation* compilation = nullptr; ASSERT_EQ(ANeuralNetworksCompilation_createForDevices(mModel.getHandle(), &device, 1, &compilation), ANEURALNETWORKS_NO_ERROR); if (withToken) { ASSERT_EQ(ANeuralNetworksCompilation_setCaching(compilation, mCacheDir.c_str(), kToken.data()), ANEURALNETWORKS_NO_ERROR); } ASSERT_EQ(ANeuralNetworksCompilation_finish(compilation), ANEURALNETWORKS_NO_ERROR); // close memory ANeuralNetworksCompilation_free(compilation); } void createCache() { sp driver = new CachingDriver(kDeviceName, V1_3::ErrorStatus::NONE, kNumModelCache, kNumDataCache, V1_3::ErrorStatus::NONE); compileModel(driver, /*withToken=*/true); } static constexpr std::string_view kDeviceName = "deviceTestCompilationCaching"; const uint32_t kNumModelCache = std::get<0>(GetParam()); const uint32_t kNumDataCache = std::get<1>(GetParam()); const V1_3::ErrorStatus kErrorStatusPrepareFromCache = std::get<2>(GetParam()); const bool kIsCachingSupported = isCachingSupported(kNumModelCache, kNumDataCache); test_wrapper::Model mModel; std::string mCacheDir; const HalCacheToken kToken{}; }; TEST_P(CompilationCachingTest, TokenProvidedAndCacheNotExist) { if (DeviceManager::get()->getUseCpuOnly()) { return; } sp driver = new CachingDriver(kDeviceName, V1_3::ErrorStatus::NONE, kNumModelCache, kNumDataCache, kErrorStatusPrepareFromCache); compileModel(driver, /*withToken=*/true); // When cache file does not exist, the runtime should never call prepareModelFromCache_1_3. EXPECT_FALSE(driver->hasCalledPrepareModelFromCache()); // The runtime should call prepareModel_1_3. It should request caching iff caching supported. EXPECT_EQ(driver->hasCalledPrepareModel(), kIsCachingSupported ? HasCalledPrepareModel::WITH_CACHING : HasCalledPrepareModel::WITHOUT_CACHING); } TEST_P(CompilationCachingTest, TokenProvidedAndCacheExist) { if (DeviceManager::get()->getUseCpuOnly()) { return; } createCache(); sp driver = new CachingDriver(kDeviceName, V1_3::ErrorStatus::NONE, kNumModelCache, kNumDataCache, kErrorStatusPrepareFromCache); compileModel(driver, /*withToken=*/true); // When cache files exist, the runtime should call prepareModelFromCache_1_3 iff caching // supported. EXPECT_EQ(driver->hasCalledPrepareModelFromCache(), kIsCachingSupported); HasCalledPrepareModel expectHasCalledPrepareModel; if (kIsCachingSupported) { if (kErrorStatusPrepareFromCache == V1_3::ErrorStatus::NONE) { // The runtime should not call prepareModel_1_3 iff caching supported and // prepareModelFromCache_1_3 succeeds. expectHasCalledPrepareModel = HasCalledPrepareModel::NO; } else { // The runtime should call prepareModel_1_3 and request caching iff caching supported // but prepareModelFromCache_1_3 fails. expectHasCalledPrepareModel = HasCalledPrepareModel::WITH_CACHING; } } else { // The runtime should call prepareModel_1_3 without caching iff caching not supported. expectHasCalledPrepareModel = HasCalledPrepareModel::WITHOUT_CACHING; } EXPECT_EQ(driver->hasCalledPrepareModel(), expectHasCalledPrepareModel); } TEST_P(CompilationCachingTest, TokenNotProvided) { if (DeviceManager::get()->getUseCpuOnly()) { return; } sp driver = new CachingDriver(kDeviceName, V1_3::ErrorStatus::NONE, kNumModelCache, kNumDataCache, kErrorStatusPrepareFromCache); compileModel(driver, /*withToken=*/false); // When no NDK token is provided by the client, the runtime should never call // prepareModelFromCache_1_3 or request caching with prepareModel_1_3. EXPECT_FALSE(driver->hasCalledPrepareModelFromCache()); EXPECT_EQ(driver->hasCalledPrepareModel(), HasCalledPrepareModel::WITHOUT_CACHING); } static const auto kErrorStatusGetNumCacheFilesChoices = testing::Values(V1_3::ErrorStatus::NONE, V1_3::ErrorStatus::DEVICE_UNAVAILABLE); static const auto kNumCacheChoices = testing::Values(0ul, 1ul, static_cast(V1_2::Constant::MAX_NUMBER_OF_CACHE_FILES), static_cast(V1_2::Constant::MAX_NUMBER_OF_CACHE_FILES) + 1); static const auto kNumValidCacheChoices = testing::Values(0ul, 1ul, static_cast(V1_2::Constant::MAX_NUMBER_OF_CACHE_FILES)); static const auto kErrorStatusPrepareFromCacheChoices = testing::Values(V1_3::ErrorStatus::NONE, V1_3::ErrorStatus::GENERAL_FAILURE, V1_3::ErrorStatus::DEVICE_UNAVAILABLE, V1_3::ErrorStatus::INVALID_ARGUMENT); INSTANTIATE_TEST_SUITE_P(TestCompilationCaching, DeviceRegistrationTest, testing::Combine(kErrorStatusGetNumCacheFilesChoices, kNumCacheChoices, kNumCacheChoices)); INSTANTIATE_TEST_SUITE_P(TestCompilationCaching, CompilationCachingTest, testing::Combine(kNumValidCacheChoices, kNumValidCacheChoices, kErrorStatusPrepareFromCacheChoices)); } // namespace