platform_hardware_interfaces/neuralnetworks/1.3/vts/functional/QualityOfServiceTests.cpp
Xusong Wang 75e63ad743 Add BLOB AHWB tests in VTS.
Bug: 149847930
Test: 1.3 VTS
Change-Id: I9c795dcb7696c843afd12551927463c5529a4b60
Merged-In: I9c795dcb7696c843afd12551927463c5529a4b60
(cherry picked from commit 41adc5bc11)
2020-03-27 11:44:06 +00:00

310 lines
13 KiB
C++

/*
* 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 "1.0/Utils.h"
#include "1.3/Callbacks.h"
#include "1.3/Utils.h"
#include "GeneratedTestHarness.h"
#include "Utils.h"
namespace android::hardware::neuralnetworks::V1_3::vts::functional {
using implementation::ExecutionCallback;
using implementation::PreparedModelCallback;
using test_helper::TestBuffer;
using test_helper::TestModel;
using V1_1::ExecutionPreference;
using V1_2::MeasureTiming;
using V1_2::OutputShape;
using V1_2::Timing;
using HidlToken =
hidl_array<uint8_t, static_cast<uint32_t>(V1_2::Constant::BYTE_SIZE_OF_CACHE_TOKEN)>;
enum class DeadlineBoundType { NOW, UNLIMITED, SHORT };
constexpr std::array<DeadlineBoundType, 3> deadlineBounds = {
DeadlineBoundType::NOW, DeadlineBoundType::UNLIMITED, DeadlineBoundType::SHORT};
std::string toString(DeadlineBoundType type) {
switch (type) {
case DeadlineBoundType::NOW:
return "NOW";
case DeadlineBoundType::UNLIMITED:
return "UNLIMITED";
case DeadlineBoundType::SHORT:
return "SHORT";
}
LOG(FATAL) << "Unrecognized DeadlineBoundType: " << static_cast<int>(type);
return {};
}
constexpr auto kShortDuration = std::chrono::milliseconds{5};
using Results = std::tuple<ErrorStatus, hidl_vec<OutputShape>, Timing>;
using MaybeResults = std::optional<Results>;
using ExecutionFunction =
std::function<MaybeResults(const sp<IPreparedModel>& preparedModel, const Request& request,
const OptionalTimePoint& deadline)>;
static OptionalTimePoint makeDeadline(DeadlineBoundType deadlineBoundType) {
const auto getNanosecondsSinceEpoch = [](const auto& time) -> uint64_t {
const auto timeSinceEpoch = time.time_since_epoch();
return std::chrono::duration_cast<std::chrono::nanoseconds>(timeSinceEpoch).count();
};
std::chrono::steady_clock::time_point timePoint;
switch (deadlineBoundType) {
case DeadlineBoundType::NOW:
timePoint = std::chrono::steady_clock::now();
break;
case DeadlineBoundType::UNLIMITED:
timePoint = std::chrono::steady_clock::time_point::max();
break;
case DeadlineBoundType::SHORT:
timePoint = std::chrono::steady_clock::now() + kShortDuration;
break;
}
OptionalTimePoint deadline;
deadline.nanosecondsSinceEpoch(getNanosecondsSinceEpoch(timePoint));
return deadline;
}
void runPrepareModelTest(const sp<IDevice>& device, const Model& model, Priority priority,
std::optional<DeadlineBoundType> deadlineBound) {
OptionalTimePoint deadline;
if (deadlineBound.has_value()) {
deadline = makeDeadline(deadlineBound.value());
}
// see if service can handle model
bool fullySupportsModel = false;
const Return<void> supportedCall = device->getSupportedOperations_1_3(
model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
ASSERT_EQ(ErrorStatus::NONE, status);
ASSERT_NE(0ul, supported.size());
fullySupportsModel = std::all_of(supported.begin(), supported.end(),
[](bool valid) { return valid; });
});
ASSERT_TRUE(supportedCall.isOk());
// launch prepare model
const sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
const Return<ErrorStatus> prepareLaunchStatus = device->prepareModel_1_3(
model, ExecutionPreference::FAST_SINGLE_ANSWER, priority, deadline,
hidl_vec<hidl_handle>(), hidl_vec<hidl_handle>(), HidlToken(), preparedModelCallback);
ASSERT_TRUE(prepareLaunchStatus.isOk());
ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
// retrieve prepared model
preparedModelCallback->wait();
const ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
const sp<V1_0::IPreparedModel> preparedModelV1_0 = preparedModelCallback->getPreparedModel();
const sp<IPreparedModel> preparedModel =
IPreparedModel::castFrom(preparedModelV1_0).withDefault(nullptr);
// The getSupportedOperations_1_3 call returns a list of operations that are
// guaranteed not to fail if prepareModel_1_3 is called, and
// 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
// If a driver has any doubt that it can prepare an operation, it must
// return false. So here, if a driver isn't sure if it can support an
// operation, but reports that it successfully prepared the model, the test
// can continue.
if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
ASSERT_EQ(nullptr, preparedModel.get());
return;
}
// verify return status
if (!deadlineBound.has_value()) {
EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
} else {
switch (deadlineBound.value()) {
case DeadlineBoundType::NOW:
case DeadlineBoundType::SHORT:
// Either the driver successfully completed the task or it
// aborted and returned MISSED_DEADLINE_*.
EXPECT_TRUE(prepareReturnStatus == ErrorStatus::NONE ||
prepareReturnStatus == ErrorStatus::MISSED_DEADLINE_TRANSIENT ||
prepareReturnStatus == ErrorStatus::MISSED_DEADLINE_PERSISTENT);
break;
case DeadlineBoundType::UNLIMITED:
// If an unlimited deadline is supplied, we expect the execution to
// proceed normally. In this case, check it normally by breaking out
// of the switch statement.
EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
break;
}
}
ASSERT_EQ(prepareReturnStatus == ErrorStatus::NONE, preparedModel.get() != nullptr);
}
void runPrepareModelTests(const sp<IDevice>& device, const Model& model) {
// test priority
for (auto priority : hidl_enum_range<Priority>{}) {
SCOPED_TRACE("priority: " + toString(priority));
if (priority == kDefaultPriority) continue;
runPrepareModelTest(device, model, priority, {});
}
// test deadline
for (auto deadlineBound : deadlineBounds) {
SCOPED_TRACE("deadlineBound: " + toString(deadlineBound));
runPrepareModelTest(device, model, kDefaultPriority, deadlineBound);
}
}
static MaybeResults executeAsynchronously(const sp<IPreparedModel>& preparedModel,
const Request& request,
const OptionalTimePoint& deadline) {
SCOPED_TRACE("asynchronous");
const MeasureTiming measure = MeasureTiming::NO;
// launch execution
const sp<ExecutionCallback> callback = new ExecutionCallback();
Return<ErrorStatus> ret = preparedModel->execute_1_3(request, measure, deadline, {}, callback);
EXPECT_TRUE(ret.isOk());
EXPECT_EQ(ErrorStatus::NONE, ret.withDefault(ErrorStatus::GENERAL_FAILURE));
if (!ret.isOk() || ret != ErrorStatus::NONE) return std::nullopt;
// retrieve execution results
callback->wait();
const ErrorStatus status = callback->getStatus();
hidl_vec<OutputShape> outputShapes = callback->getOutputShapes();
const Timing timing = callback->getTiming();
// return results
return Results{status, std::move(outputShapes), timing};
}
static MaybeResults executeSynchronously(const sp<IPreparedModel>& preparedModel,
const Request& request,
const OptionalTimePoint& deadline) {
SCOPED_TRACE("synchronous");
const MeasureTiming measure = MeasureTiming::NO;
// configure results callback
MaybeResults results;
const auto cb = [&results](ErrorStatus status, const hidl_vec<OutputShape>& outputShapes,
const Timing& timing) {
results.emplace(status, outputShapes, timing);
};
// run execution
const Return<void> ret =
preparedModel->executeSynchronously_1_3(request, measure, deadline, {}, cb);
EXPECT_TRUE(ret.isOk());
if (!ret.isOk()) return std::nullopt;
// return results
return results;
}
void runExecutionTest(const sp<IPreparedModel>& preparedModel, const TestModel& testModel,
const Request& request, const ExecutionContext& context, bool synchronous,
DeadlineBoundType deadlineBound) {
const ExecutionFunction execute = synchronous ? executeSynchronously : executeAsynchronously;
const auto deadline = makeDeadline(deadlineBound);
// Perform execution and unpack results.
const auto results = execute(preparedModel, request, deadline);
if (!results.has_value()) return;
const auto& [status, outputShapes, timing] = results.value();
// Verify no timing information was returned
EXPECT_EQ(UINT64_MAX, timing.timeOnDevice);
EXPECT_EQ(UINT64_MAX, timing.timeInDriver);
// Validate deadline information if applicable.
switch (deadlineBound) {
case DeadlineBoundType::NOW:
case DeadlineBoundType::SHORT:
// Either the driver successfully completed the task or it
// aborted and returned MISSED_DEADLINE_*.
ASSERT_TRUE(status == ErrorStatus::NONE ||
status == ErrorStatus::MISSED_DEADLINE_TRANSIENT ||
status == ErrorStatus::MISSED_DEADLINE_PERSISTENT);
break;
case DeadlineBoundType::UNLIMITED:
// If an unlimited deadline is supplied, we expect the execution to
// proceed normally. In this case, check it normally by breaking out
// of the switch statement.
ASSERT_EQ(ErrorStatus::NONE, status);
break;
}
// If the model output operands are fully specified, outputShapes must be either
// either empty, or have the same number of elements as the number of outputs.
ASSERT_TRUE(outputShapes.size() == 0 ||
outputShapes.size() == testModel.main.outputIndexes.size());
// Go through all outputs, check returned output shapes.
for (uint32_t i = 0; i < outputShapes.size(); i++) {
EXPECT_TRUE(outputShapes[i].isSufficient);
const auto& expect = testModel.main.operands[testModel.main.outputIndexes[i]].dimensions;
const std::vector<uint32_t> actual = outputShapes[i].dimensions;
EXPECT_EQ(expect, actual);
}
// Retrieve execution results.
ASSERT_TRUE(nn::compliantWithV1_0(request));
const V1_0::Request request10 = nn::convertToV1_0(request);
const std::vector<TestBuffer> outputs = context.getOutputBuffers(request10);
// We want "close-enough" results.
if (status == ErrorStatus::NONE) {
checkResults(testModel, outputs);
}
}
void runExecutionTests(const sp<IPreparedModel>& preparedModel, const TestModel& testModel,
const Request& request, const ExecutionContext& context) {
for (bool synchronous : {false, true}) {
for (auto deadlineBound : deadlineBounds) {
runExecutionTest(preparedModel, testModel, request, context, synchronous,
deadlineBound);
}
}
}
void runTests(const sp<IDevice>& device, const TestModel& testModel) {
// setup
const Model model = createModel(testModel);
// run prepare model tests
runPrepareModelTests(device, model);
// prepare model
sp<IPreparedModel> preparedModel;
createPreparedModel(device, model, &preparedModel);
if (preparedModel == nullptr) return;
// run execution tests
ExecutionContext context;
const Request request = nn::convertToV1_3(context.createRequest(testModel));
runExecutionTests(preparedModel, testModel, request, context);
}
class DeadlineTest : public GeneratedTestBase {};
TEST_P(DeadlineTest, Test) {
runTests(kDevice, kTestModel);
}
INSTANTIATE_GENERATED_TEST(DeadlineTest,
[](const TestModel& testModel) { return !testModel.expectFailure; });
} // namespace android::hardware::neuralnetworks::V1_3::vts::functional