1 /*
2 * Copyright (C) 2019 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 #include "1.0/Utils.h"
18 #include "1.3/Callbacks.h"
19 #include "1.3/Utils.h"
20 #include "GeneratedTestHarness.h"
21 #include "Utils.h"
22
23 namespace android::hardware::neuralnetworks::V1_3::vts::functional {
24
25 using implementation::ExecutionCallback;
26 using implementation::PreparedModelCallback;
27 using test_helper::TestBuffer;
28 using test_helper::TestModel;
29 using V1_1::ExecutionPreference;
30 using V1_2::MeasureTiming;
31 using V1_2::OutputShape;
32 using V1_2::Timing;
33
34 using HidlToken =
35 hidl_array<uint8_t, static_cast<uint32_t>(V1_2::Constant::BYTE_SIZE_OF_CACHE_TOKEN)>;
36
37 enum class DeadlineBoundType { NOW, UNLIMITED, SHORT };
38 constexpr std::array<DeadlineBoundType, 3> deadlineBounds = {
39 DeadlineBoundType::NOW, DeadlineBoundType::UNLIMITED, DeadlineBoundType::SHORT};
toString(DeadlineBoundType type)40 std::string toString(DeadlineBoundType type) {
41 switch (type) {
42 case DeadlineBoundType::NOW:
43 return "NOW";
44 case DeadlineBoundType::UNLIMITED:
45 return "UNLIMITED";
46 case DeadlineBoundType::SHORT:
47 return "SHORT";
48 }
49 LOG(FATAL) << "Unrecognized DeadlineBoundType: " << static_cast<int>(type);
50 return {};
51 }
52
53 constexpr auto kShortDuration = std::chrono::milliseconds{5};
54
55 using Results = std::tuple<ErrorStatus, hidl_vec<OutputShape>, Timing>;
56 using MaybeResults = std::optional<Results>;
57
58 using ExecutionFunction =
59 std::function<MaybeResults(const sp<IPreparedModel>& preparedModel, const Request& request,
60 const OptionalTimePoint& deadline)>;
61
makeDeadline(DeadlineBoundType deadlineBoundType)62 static OptionalTimePoint makeDeadline(DeadlineBoundType deadlineBoundType) {
63 const auto getNanosecondsSinceEpoch = [](const auto& time) -> uint64_t {
64 const auto timeSinceEpoch = time.time_since_epoch();
65 return std::chrono::duration_cast<std::chrono::nanoseconds>(timeSinceEpoch).count();
66 };
67
68 std::chrono::steady_clock::time_point timePoint;
69 switch (deadlineBoundType) {
70 case DeadlineBoundType::NOW:
71 timePoint = std::chrono::steady_clock::now();
72 break;
73 case DeadlineBoundType::UNLIMITED:
74 timePoint = std::chrono::steady_clock::time_point::max();
75 break;
76 case DeadlineBoundType::SHORT:
77 timePoint = std::chrono::steady_clock::now() + kShortDuration;
78 break;
79 }
80
81 OptionalTimePoint deadline;
82 deadline.nanosecondsSinceEpoch(getNanosecondsSinceEpoch(timePoint));
83 return deadline;
84 }
85
runPrepareModelTest(const sp<IDevice> & device,const Model & model,Priority priority,std::optional<DeadlineBoundType> deadlineBound)86 void runPrepareModelTest(const sp<IDevice>& device, const Model& model, Priority priority,
87 std::optional<DeadlineBoundType> deadlineBound) {
88 OptionalTimePoint deadline;
89 if (deadlineBound.has_value()) {
90 deadline = makeDeadline(deadlineBound.value());
91 }
92
93 // see if service can handle model
94 bool fullySupportsModel = false;
95 const Return<void> supportedCall = device->getSupportedOperations_1_3(
96 model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
97 ASSERT_EQ(ErrorStatus::NONE, status);
98 ASSERT_NE(0ul, supported.size());
99 fullySupportsModel = std::all_of(supported.begin(), supported.end(),
100 [](bool valid) { return valid; });
101 });
102 ASSERT_TRUE(supportedCall.isOk());
103
104 // launch prepare model
105 const sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
106 const Return<ErrorStatus> prepareLaunchStatus = device->prepareModel_1_3(
107 model, ExecutionPreference::FAST_SINGLE_ANSWER, priority, deadline,
108 hidl_vec<hidl_handle>(), hidl_vec<hidl_handle>(), HidlToken(), preparedModelCallback);
109 ASSERT_TRUE(prepareLaunchStatus.isOk());
110 ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
111
112 // retrieve prepared model
113 preparedModelCallback->wait();
114 const ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
115 const sp<V1_0::IPreparedModel> preparedModelV1_0 = preparedModelCallback->getPreparedModel();
116 const sp<IPreparedModel> preparedModel =
117 IPreparedModel::castFrom(preparedModelV1_0).withDefault(nullptr);
118
119 // The getSupportedOperations_1_3 call returns a list of operations that are
120 // guaranteed not to fail if prepareModel_1_3 is called, and
121 // 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
122 // If a driver has any doubt that it can prepare an operation, it must
123 // return false. So here, if a driver isn't sure if it can support an
124 // operation, but reports that it successfully prepared the model, the test
125 // can continue.
126 if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
127 ASSERT_EQ(nullptr, preparedModel.get());
128 return;
129 }
130
131 // verify return status
132 if (!deadlineBound.has_value()) {
133 EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
134 } else {
135 switch (deadlineBound.value()) {
136 case DeadlineBoundType::NOW:
137 case DeadlineBoundType::SHORT:
138 // Either the driver successfully completed the task or it
139 // aborted and returned MISSED_DEADLINE_*.
140 EXPECT_TRUE(prepareReturnStatus == ErrorStatus::NONE ||
141 prepareReturnStatus == ErrorStatus::MISSED_DEADLINE_TRANSIENT ||
142 prepareReturnStatus == ErrorStatus::MISSED_DEADLINE_PERSISTENT);
143 break;
144 case DeadlineBoundType::UNLIMITED:
145 // If an unlimited deadline is supplied, we expect the execution to
146 // proceed normally. In this case, check it normally by breaking out
147 // of the switch statement.
148 EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
149 break;
150 }
151 }
152 ASSERT_EQ(prepareReturnStatus == ErrorStatus::NONE, preparedModel.get() != nullptr);
153 }
154
runPrepareModelTests(const sp<IDevice> & device,const Model & model)155 void runPrepareModelTests(const sp<IDevice>& device, const Model& model) {
156 // test priority
157 for (auto priority : hidl_enum_range<Priority>{}) {
158 SCOPED_TRACE("priority: " + toString(priority));
159 if (priority == kDefaultPriority) continue;
160 runPrepareModelTest(device, model, priority, {});
161 }
162
163 // test deadline
164 for (auto deadlineBound : deadlineBounds) {
165 SCOPED_TRACE("deadlineBound: " + toString(deadlineBound));
166 runPrepareModelTest(device, model, kDefaultPriority, deadlineBound);
167 }
168 }
169
executeAsynchronously(const sp<IPreparedModel> & preparedModel,const Request & request,const OptionalTimePoint & deadline)170 static MaybeResults executeAsynchronously(const sp<IPreparedModel>& preparedModel,
171 const Request& request,
172 const OptionalTimePoint& deadline) {
173 SCOPED_TRACE("asynchronous");
174 const MeasureTiming measure = MeasureTiming::NO;
175
176 // launch execution
177 const sp<ExecutionCallback> callback = new ExecutionCallback();
178 Return<ErrorStatus> ret = preparedModel->execute_1_3(request, measure, deadline, {}, callback);
179 EXPECT_TRUE(ret.isOk());
180 EXPECT_EQ(ErrorStatus::NONE, ret.withDefault(ErrorStatus::GENERAL_FAILURE));
181 if (!ret.isOk() || ret != ErrorStatus::NONE) return std::nullopt;
182
183 // retrieve execution results
184 callback->wait();
185 const ErrorStatus status = callback->getStatus();
186 hidl_vec<OutputShape> outputShapes = callback->getOutputShapes();
187 const Timing timing = callback->getTiming();
188
189 // return results
190 return Results{status, std::move(outputShapes), timing};
191 }
192
executeSynchronously(const sp<IPreparedModel> & preparedModel,const Request & request,const OptionalTimePoint & deadline)193 static MaybeResults executeSynchronously(const sp<IPreparedModel>& preparedModel,
194 const Request& request,
195 const OptionalTimePoint& deadline) {
196 SCOPED_TRACE("synchronous");
197 const MeasureTiming measure = MeasureTiming::NO;
198
199 // configure results callback
200 MaybeResults results;
201 const auto cb = [&results](ErrorStatus status, const hidl_vec<OutputShape>& outputShapes,
202 const Timing& timing) {
203 results.emplace(status, outputShapes, timing);
204 };
205
206 // run execution
207 const Return<void> ret =
208 preparedModel->executeSynchronously_1_3(request, measure, deadline, {}, cb);
209 EXPECT_TRUE(ret.isOk());
210 if (!ret.isOk()) return std::nullopt;
211
212 // return results
213 return results;
214 }
215
runExecutionTest(const sp<IPreparedModel> & preparedModel,const TestModel & testModel,const Request & request,const ExecutionContext & context,bool synchronous,DeadlineBoundType deadlineBound)216 void runExecutionTest(const sp<IPreparedModel>& preparedModel, const TestModel& testModel,
217 const Request& request, const ExecutionContext& context, bool synchronous,
218 DeadlineBoundType deadlineBound) {
219 const ExecutionFunction execute = synchronous ? executeSynchronously : executeAsynchronously;
220 const auto deadline = makeDeadline(deadlineBound);
221
222 // Perform execution and unpack results.
223 const auto results = execute(preparedModel, request, deadline);
224 if (!results.has_value()) return;
225 const auto& [status, outputShapes, timing] = results.value();
226
227 // Verify no timing information was returned
228 EXPECT_EQ(UINT64_MAX, timing.timeOnDevice);
229 EXPECT_EQ(UINT64_MAX, timing.timeInDriver);
230
231 // Validate deadline information if applicable.
232 switch (deadlineBound) {
233 case DeadlineBoundType::NOW:
234 case DeadlineBoundType::SHORT:
235 // Either the driver successfully completed the task or it
236 // aborted and returned MISSED_DEADLINE_*.
237 ASSERT_TRUE(status == ErrorStatus::NONE ||
238 status == ErrorStatus::MISSED_DEADLINE_TRANSIENT ||
239 status == ErrorStatus::MISSED_DEADLINE_PERSISTENT);
240 break;
241 case DeadlineBoundType::UNLIMITED:
242 // If an unlimited deadline is supplied, we expect the execution to
243 // proceed normally. In this case, check it normally by breaking out
244 // of the switch statement.
245 ASSERT_EQ(ErrorStatus::NONE, status);
246 break;
247 }
248
249 // If the model output operands are fully specified, outputShapes must be either
250 // either empty, or have the same number of elements as the number of outputs.
251 ASSERT_TRUE(outputShapes.size() == 0 ||
252 outputShapes.size() == testModel.main.outputIndexes.size());
253
254 // Go through all outputs, check returned output shapes.
255 for (uint32_t i = 0; i < outputShapes.size(); i++) {
256 EXPECT_TRUE(outputShapes[i].isSufficient);
257 const auto& expect = testModel.main.operands[testModel.main.outputIndexes[i]].dimensions;
258 const std::vector<uint32_t> actual = outputShapes[i].dimensions;
259 EXPECT_EQ(expect, actual);
260 }
261
262 // Retrieve execution results.
263 ASSERT_TRUE(nn::compliantWithV1_0(request));
264 const V1_0::Request request10 = nn::convertToV1_0(request);
265 const std::vector<TestBuffer> outputs = context.getOutputBuffers(request10);
266
267 // We want "close-enough" results.
268 if (status == ErrorStatus::NONE) {
269 checkResults(testModel, outputs);
270 }
271 }
272
runExecutionTests(const sp<IPreparedModel> & preparedModel,const TestModel & testModel,const Request & request,const ExecutionContext & context)273 void runExecutionTests(const sp<IPreparedModel>& preparedModel, const TestModel& testModel,
274 const Request& request, const ExecutionContext& context) {
275 for (bool synchronous : {false, true}) {
276 for (auto deadlineBound : deadlineBounds) {
277 runExecutionTest(preparedModel, testModel, request, context, synchronous,
278 deadlineBound);
279 }
280 }
281 }
282
runTests(const sp<IDevice> & device,const TestModel & testModel)283 void runTests(const sp<IDevice>& device, const TestModel& testModel) {
284 // setup
285 const Model model = createModel(testModel);
286
287 // run prepare model tests
288 runPrepareModelTests(device, model);
289
290 // prepare model
291 sp<IPreparedModel> preparedModel;
292 createPreparedModel(device, model, &preparedModel);
293 if (preparedModel == nullptr) return;
294
295 // run execution tests
296 ExecutionContext context;
297 const Request request = nn::convertToV1_3(context.createRequest(testModel));
298 runExecutionTests(preparedModel, testModel, request, context);
299 }
300
301 class DeadlineTest : public GeneratedTestBase {};
302
TEST_P(DeadlineTest,Test)303 TEST_P(DeadlineTest, Test) {
304 runTests(kDevice, kTestModel);
305 }
306
307 INSTANTIATE_GENERATED_TEST(DeadlineTest,
__anon0aa7c0a40502(const TestModel& testModel) 308 [](const TestModel& testModel) { return !testModel.expectFailure; });
309
310 } // namespace android::hardware::neuralnetworks::V1_3::vts::functional
311