Home | History | Annotate | Download | only in functional
      1 /*
      2  * Copyright (C) 2018 The Android Open Source Project
      3  *
      4  * Licensed under the Apache License, Version 2.0 (the "License");
      5  * you may not use this file except in compliance with the License.
      6  * You may obtain a copy of the License at
      7  *
      8  *      http://www.apache.org/licenses/LICENSE-2.0
      9  *
     10  * Unless required by applicable law or agreed to in writing, software
     11  * distributed under the License is distributed on an "AS IS" BASIS,
     12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     13  * See the License for the specific language governing permissions and
     14  * limitations under the License.
     15  */
     16 
     17 #define LOG_TAG "neuralnetworks_hidl_hal_test"
     18 
     19 #include "VtsHalNeuralnetworks.h"
     20 
     21 #include <android-base/logging.h>
     22 
     23 #include "Callbacks.h"
     24 
     25 namespace android {
     26 namespace hardware {
     27 namespace neuralnetworks {
     28 namespace V1_2 {
     29 namespace vts {
     30 namespace functional {
     31 
     32 using ::android::hardware::neuralnetworks::V1_2::implementation::PreparedModelCallback;
     33 using HidlToken = hidl_array<uint8_t, static_cast<uint32_t>(Constant::BYTE_SIZE_OF_CACHE_TOKEN)>;
     34 using V1_1::ExecutionPreference;
     35 
     36 // internal helper function
     37 static void createPreparedModel(const sp<IDevice>& device, const Model& model,
     38                                 sp<IPreparedModel>* preparedModel) {
     39     ASSERT_NE(nullptr, preparedModel);
     40 
     41     // see if service can handle model
     42     bool fullySupportsModel = false;
     43     Return<void> supportedOpsLaunchStatus = device->getSupportedOperations_1_2(
     44             model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
     45                 ASSERT_EQ(ErrorStatus::NONE, status);
     46                 ASSERT_NE(0ul, supported.size());
     47                 fullySupportsModel = std::all_of(supported.begin(), supported.end(),
     48                                                  [](bool valid) { return valid; });
     49             });
     50     ASSERT_TRUE(supportedOpsLaunchStatus.isOk());
     51 
     52     // launch prepare model
     53     sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
     54     ASSERT_NE(nullptr, preparedModelCallback.get());
     55     Return<ErrorStatus> prepareLaunchStatus = device->prepareModel_1_2(
     56             model, ExecutionPreference::FAST_SINGLE_ANSWER, hidl_vec<hidl_handle>(),
     57             hidl_vec<hidl_handle>(), HidlToken(), preparedModelCallback);
     58     ASSERT_TRUE(prepareLaunchStatus.isOk());
     59     ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
     60 
     61     // retrieve prepared model
     62     preparedModelCallback->wait();
     63     ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
     64     *preparedModel = getPreparedModel_1_2(preparedModelCallback);
     65 
     66     // The getSupportedOperations_1_2 call returns a list of operations that are
     67     // guaranteed not to fail if prepareModel_1_2 is called, and
     68     // 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
     69     // If a driver has any doubt that it can prepare an operation, it must
     70     // return false. So here, if a driver isn't sure if it can support an
     71     // operation, but reports that it successfully prepared the model, the test
     72     // can continue.
     73     if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
     74         ASSERT_EQ(nullptr, preparedModel->get());
     75         LOG(INFO) << "NN VTS: Unable to test Request validation because vendor service cannot "
     76                      "prepare model that it does not support.";
     77         std::cout << "[          ]   Unable to test Request validation because vendor service "
     78                      "cannot prepare model that it does not support."
     79                   << std::endl;
     80         return;
     81     }
     82     ASSERT_EQ(ErrorStatus::NONE, prepareReturnStatus);
     83     ASSERT_NE(nullptr, preparedModel->get());
     84 }
     85 
     86 // A class for test environment setup
     87 NeuralnetworksHidlEnvironment::NeuralnetworksHidlEnvironment() {}
     88 
     89 NeuralnetworksHidlEnvironment::~NeuralnetworksHidlEnvironment() {}
     90 
     91 NeuralnetworksHidlEnvironment* NeuralnetworksHidlEnvironment::getInstance() {
     92     // This has to return a "new" object because it is freed inside
     93     // ::testing::AddGlobalTestEnvironment when the gtest is being torn down
     94     static NeuralnetworksHidlEnvironment* instance = new NeuralnetworksHidlEnvironment();
     95     return instance;
     96 }
     97 
     98 void NeuralnetworksHidlEnvironment::registerTestServices() {
     99     registerTestService<IDevice>();
    100 }
    101 
    102 // The main test class for NEURALNETWORK HIDL HAL.
    103 NeuralnetworksHidlTest::NeuralnetworksHidlTest() {}
    104 
    105 NeuralnetworksHidlTest::~NeuralnetworksHidlTest() {}
    106 
    107 void NeuralnetworksHidlTest::SetUp() {
    108     ::testing::VtsHalHidlTargetTestBase::SetUp();
    109     device = ::testing::VtsHalHidlTargetTestBase::getService<IDevice>(
    110             NeuralnetworksHidlEnvironment::getInstance());
    111 
    112 #ifdef PRESUBMIT_NOT_VTS
    113     const std::string name =
    114             NeuralnetworksHidlEnvironment::getInstance()->getServiceName<IDevice>();
    115     const std::string sampleDriver = "sample-";
    116     if (device == nullptr && name.substr(0, sampleDriver.size()) == sampleDriver) {
    117         GTEST_SKIP();
    118     }
    119 #endif  // PRESUBMIT_NOT_VTS
    120 
    121     ASSERT_NE(nullptr, device.get());
    122 }
    123 
    124 void NeuralnetworksHidlTest::TearDown() {
    125     device = nullptr;
    126     ::testing::VtsHalHidlTargetTestBase::TearDown();
    127 }
    128 
    129 void ValidationTest::validateEverything(const Model& model, const std::vector<Request>& requests) {
    130     validateModel(model);
    131 
    132     // create IPreparedModel
    133     sp<IPreparedModel> preparedModel;
    134     ASSERT_NO_FATAL_FAILURE(createPreparedModel(device, model, &preparedModel));
    135     if (preparedModel == nullptr) {
    136         return;
    137     }
    138 
    139     validateRequests(preparedModel, requests);
    140     validateBurst(preparedModel, requests);
    141 }
    142 
    143 sp<IPreparedModel> getPreparedModel_1_2(
    144     const sp<V1_2::implementation::PreparedModelCallback>& callback) {
    145     sp<V1_0::IPreparedModel> preparedModelV1_0 = callback->getPreparedModel();
    146     return V1_2::IPreparedModel::castFrom(preparedModelV1_0).withDefault(nullptr);
    147 }
    148 
    149 }  // namespace functional
    150 }  // namespace vts
    151 }  // namespace V1_2
    152 }  // namespace neuralnetworks
    153 }  // namespace hardware
    154 }  // namespace android
    155 
    156 namespace android::hardware::neuralnetworks::V1_0 {
    157 
    158 ::std::ostream& operator<<(::std::ostream& os, ErrorStatus errorStatus) {
    159     return os << toString(errorStatus);
    160 }
    161 
    162 ::std::ostream& operator<<(::std::ostream& os, DeviceStatus deviceStatus) {
    163     return os << toString(deviceStatus);
    164 }
    165 
    166 }  // namespace android::hardware::neuralnetworks::V1_0
    167 
    168 using android::hardware::neuralnetworks::V1_2::vts::functional::NeuralnetworksHidlEnvironment;
    169 
    170 int main(int argc, char** argv) {
    171     ::testing::AddGlobalTestEnvironment(NeuralnetworksHidlEnvironment::getInstance());
    172     ::testing::InitGoogleTest(&argc, argv);
    173     NeuralnetworksHidlEnvironment::getInstance()->init(&argc, argv);
    174 
    175     int status = RUN_ALL_TESTS();
    176     return status;
    177 }
    178