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311 lines
13 KiB
311 lines
13 KiB
/*
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* Copyright (C) 2019 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "1.0/Utils.h"
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#include "1.3/Callbacks.h"
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#include "1.3/Utils.h"
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#include "GeneratedTestHarness.h"
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#include "Utils.h"
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namespace android::hardware::neuralnetworks::V1_3::vts::functional {
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using implementation::ExecutionCallback;
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using implementation::PreparedModelCallback;
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using test_helper::TestBuffer;
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using test_helper::TestModel;
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using V1_1::ExecutionPreference;
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using V1_2::MeasureTiming;
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using V1_2::OutputShape;
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using V1_2::Timing;
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using HidlToken =
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hidl_array<uint8_t, static_cast<uint32_t>(V1_2::Constant::BYTE_SIZE_OF_CACHE_TOKEN)>;
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enum class DeadlineBoundType { NOW, UNLIMITED, SHORT };
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constexpr std::array<DeadlineBoundType, 3> deadlineBounds = {
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DeadlineBoundType::NOW, DeadlineBoundType::UNLIMITED, DeadlineBoundType::SHORT};
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std::string toString(DeadlineBoundType type) {
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switch (type) {
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case DeadlineBoundType::NOW:
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return "NOW";
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case DeadlineBoundType::UNLIMITED:
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return "UNLIMITED";
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case DeadlineBoundType::SHORT:
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return "SHORT";
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}
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LOG(FATAL) << "Unrecognized DeadlineBoundType: " << static_cast<int>(type);
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return {};
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}
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constexpr auto kShortDuration = std::chrono::milliseconds{5};
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using Results = std::tuple<ErrorStatus, hidl_vec<OutputShape>, Timing>;
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using MaybeResults = std::optional<Results>;
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using ExecutionFunction =
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std::function<MaybeResults(const sp<IPreparedModel>& preparedModel, const Request& request,
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const OptionalTimePoint& deadline)>;
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static OptionalTimePoint makeDeadline(DeadlineBoundType deadlineBoundType) {
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const auto getNanosecondsSinceEpoch = [](const auto& time) -> uint64_t {
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const auto timeSinceEpoch = time.time_since_epoch();
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return std::chrono::duration_cast<std::chrono::nanoseconds>(timeSinceEpoch).count();
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};
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std::chrono::steady_clock::time_point timePoint;
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switch (deadlineBoundType) {
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case DeadlineBoundType::NOW:
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timePoint = std::chrono::steady_clock::now();
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break;
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case DeadlineBoundType::UNLIMITED:
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timePoint = std::chrono::steady_clock::time_point::max();
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break;
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case DeadlineBoundType::SHORT:
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timePoint = std::chrono::steady_clock::now() + kShortDuration;
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break;
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}
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OptionalTimePoint deadline;
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deadline.nanosecondsSinceEpoch(getNanosecondsSinceEpoch(timePoint));
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return deadline;
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}
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void runPrepareModelTest(const sp<IDevice>& device, const Model& model, Priority priority,
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std::optional<DeadlineBoundType> deadlineBound) {
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OptionalTimePoint deadline;
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if (deadlineBound.has_value()) {
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deadline = makeDeadline(deadlineBound.value());
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}
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// see if service can handle model
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bool fullySupportsModel = false;
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const Return<void> supportedCall = device->getSupportedOperations_1_3(
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model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
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ASSERT_EQ(ErrorStatus::NONE, status);
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ASSERT_NE(0ul, supported.size());
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fullySupportsModel = std::all_of(supported.begin(), supported.end(),
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[](bool valid) { return valid; });
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});
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ASSERT_TRUE(supportedCall.isOk());
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// launch prepare model
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const sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
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const Return<ErrorStatus> prepareLaunchStatus = device->prepareModel_1_3(
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model, ExecutionPreference::FAST_SINGLE_ANSWER, priority, deadline,
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hidl_vec<hidl_handle>(), hidl_vec<hidl_handle>(), HidlToken(), preparedModelCallback);
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ASSERT_TRUE(prepareLaunchStatus.isOk());
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ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
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// retrieve prepared model
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preparedModelCallback->wait();
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const ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
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const sp<V1_0::IPreparedModel> preparedModelV1_0 = preparedModelCallback->getPreparedModel();
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const sp<IPreparedModel> preparedModel =
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IPreparedModel::castFrom(preparedModelV1_0).withDefault(nullptr);
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// The getSupportedOperations_1_3 call returns a list of operations that are
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// guaranteed not to fail if prepareModel_1_3 is called, and
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// 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
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// If a driver has any doubt that it can prepare an operation, it must
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// return false. So here, if a driver isn't sure if it can support an
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// operation, but reports that it successfully prepared the model, the test
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// can continue.
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if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
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ASSERT_EQ(nullptr, preparedModel.get());
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return;
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}
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// verify return status
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if (!deadlineBound.has_value()) {
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EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
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} else {
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switch (deadlineBound.value()) {
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case DeadlineBoundType::NOW:
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case DeadlineBoundType::SHORT:
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// Either the driver successfully completed the task or it
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// aborted and returned MISSED_DEADLINE_*.
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EXPECT_TRUE(prepareReturnStatus == ErrorStatus::NONE ||
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prepareReturnStatus == ErrorStatus::MISSED_DEADLINE_TRANSIENT ||
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prepareReturnStatus == ErrorStatus::MISSED_DEADLINE_PERSISTENT);
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break;
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case DeadlineBoundType::UNLIMITED:
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// If an unlimited deadline is supplied, we expect the execution to
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// proceed normally. In this case, check it normally by breaking out
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// of the switch statement.
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EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
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break;
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}
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}
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ASSERT_EQ(prepareReturnStatus == ErrorStatus::NONE, preparedModel.get() != nullptr);
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}
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void runPrepareModelTests(const sp<IDevice>& device, const Model& model) {
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// test priority
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for (auto priority : hidl_enum_range<Priority>{}) {
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SCOPED_TRACE("priority: " + toString(priority));
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if (priority == kDefaultPriority) continue;
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runPrepareModelTest(device, model, priority, {});
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}
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// test deadline
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for (auto deadlineBound : deadlineBounds) {
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SCOPED_TRACE("deadlineBound: " + toString(deadlineBound));
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runPrepareModelTest(device, model, kDefaultPriority, deadlineBound);
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}
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}
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static MaybeResults executeAsynchronously(const sp<IPreparedModel>& preparedModel,
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const Request& request,
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const OptionalTimePoint& deadline) {
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SCOPED_TRACE("asynchronous");
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const MeasureTiming measure = MeasureTiming::NO;
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// launch execution
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const sp<ExecutionCallback> callback = new ExecutionCallback();
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Return<ErrorStatus> ret = preparedModel->execute_1_3(request, measure, deadline, {}, callback);
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EXPECT_TRUE(ret.isOk());
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EXPECT_EQ(ErrorStatus::NONE, ret.withDefault(ErrorStatus::GENERAL_FAILURE));
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if (!ret.isOk() || ret != ErrorStatus::NONE) return std::nullopt;
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// retrieve execution results
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callback->wait();
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const ErrorStatus status = callback->getStatus();
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hidl_vec<OutputShape> outputShapes = callback->getOutputShapes();
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const Timing timing = callback->getTiming();
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// return results
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return Results{status, std::move(outputShapes), timing};
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}
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static MaybeResults executeSynchronously(const sp<IPreparedModel>& preparedModel,
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const Request& request,
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const OptionalTimePoint& deadline) {
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SCOPED_TRACE("synchronous");
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const MeasureTiming measure = MeasureTiming::NO;
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// configure results callback
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MaybeResults results;
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const auto cb = [&results](ErrorStatus status, const hidl_vec<OutputShape>& outputShapes,
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const Timing& timing) {
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results.emplace(status, outputShapes, timing);
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};
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// run execution
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const Return<void> ret =
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preparedModel->executeSynchronously_1_3(request, measure, deadline, {}, cb);
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EXPECT_TRUE(ret.isOk());
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if (!ret.isOk()) return std::nullopt;
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// return results
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return results;
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}
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void runExecutionTest(const sp<IPreparedModel>& preparedModel, const TestModel& testModel,
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const Request& request, const ExecutionContext& context, bool synchronous,
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DeadlineBoundType deadlineBound) {
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const ExecutionFunction execute = synchronous ? executeSynchronously : executeAsynchronously;
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const auto deadline = makeDeadline(deadlineBound);
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// Perform execution and unpack results.
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const auto results = execute(preparedModel, request, deadline);
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if (!results.has_value()) return;
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const auto& [status, outputShapes, timing] = results.value();
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// Verify no timing information was returned
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EXPECT_EQ(UINT64_MAX, timing.timeOnDevice);
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EXPECT_EQ(UINT64_MAX, timing.timeInDriver);
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// Validate deadline information if applicable.
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switch (deadlineBound) {
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case DeadlineBoundType::NOW:
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case DeadlineBoundType::SHORT:
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// Either the driver successfully completed the task or it
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// aborted and returned MISSED_DEADLINE_*.
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ASSERT_TRUE(status == ErrorStatus::NONE ||
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status == ErrorStatus::MISSED_DEADLINE_TRANSIENT ||
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status == ErrorStatus::MISSED_DEADLINE_PERSISTENT);
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break;
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case DeadlineBoundType::UNLIMITED:
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// If an unlimited deadline is supplied, we expect the execution to
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// proceed normally. In this case, check it normally by breaking out
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// of the switch statement.
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ASSERT_EQ(ErrorStatus::NONE, status);
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break;
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}
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// If the model output operands are fully specified, outputShapes must be either
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// either empty, or have the same number of elements as the number of outputs.
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ASSERT_TRUE(outputShapes.size() == 0 ||
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outputShapes.size() == testModel.main.outputIndexes.size());
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// Go through all outputs, check returned output shapes.
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for (uint32_t i = 0; i < outputShapes.size(); i++) {
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EXPECT_TRUE(outputShapes[i].isSufficient);
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const auto& expect = testModel.main.operands[testModel.main.outputIndexes[i]].dimensions;
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const std::vector<uint32_t> actual = outputShapes[i].dimensions;
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EXPECT_EQ(expect, actual);
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}
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// Retrieve execution results.
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ASSERT_TRUE(nn::compliantWithV1_0(request));
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const V1_0::Request request10 = nn::convertToV1_0(request);
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const std::vector<TestBuffer> outputs = context.getOutputBuffers(request10);
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// We want "close-enough" results.
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if (status == ErrorStatus::NONE) {
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checkResults(testModel, outputs);
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}
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}
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void runExecutionTests(const sp<IPreparedModel>& preparedModel, const TestModel& testModel,
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const Request& request, const ExecutionContext& context) {
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for (bool synchronous : {false, true}) {
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for (auto deadlineBound : deadlineBounds) {
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runExecutionTest(preparedModel, testModel, request, context, synchronous,
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deadlineBound);
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}
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}
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}
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void runTests(const sp<IDevice>& device, const TestModel& testModel) {
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// setup
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const Model model = createModel(testModel);
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// run prepare model tests
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runPrepareModelTests(device, model);
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// prepare model
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sp<IPreparedModel> preparedModel;
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createPreparedModel(device, model, &preparedModel);
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if (preparedModel == nullptr) return;
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// run execution tests
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ExecutionContext context;
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const Request request = nn::convertToV1_3(context.createRequest(testModel));
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runExecutionTests(preparedModel, testModel, request, context);
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}
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class DeadlineTest : public GeneratedTestBase {};
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TEST_P(DeadlineTest, Test) {
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runTests(kDevice, kTestModel);
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}
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INSTANTIATE_GENERATED_TEST(DeadlineTest,
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[](const TestModel& testModel) { return !testModel.expectFailure; });
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} // namespace android::hardware::neuralnetworks::V1_3::vts::functional
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