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// Copyright 2021 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "base/path_service.h"
#include "base/task/cancelable_task_tracker.h"
#include "base/test/metrics/histogram_tester.h"
#include "base/test/task_environment.h"
#include "components/optimization_guide/core/delivery/test_model_info_builder.h"
#include "components/optimization_guide/core/delivery/test_optimization_guide_model_provider.h"
#include "components/optimization_guide/core/inference/test_model_executor.h"
#include "components/optimization_guide/core/inference/test_model_handler.h"
#include "components/optimization_guide/proto/common_types.pb.h"
#include "testing/gtest/include/gtest/gtest.h"
namespace optimization_guide {
namespace {
class ModelObserverTracker : public TestOptimizationGuideModelProvider {
public:
void AddObserverForOptimizationTargetModel(
proto::OptimizationTarget target,
const std::optional<proto::Any>& model_metadata,
OptimizationTargetModelObserver* observer) override {
// Make sure we send what is expected based on
// TestModelHandler ctor.
if (target !=
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD) {
return;
}
if (model_metadata != std::nullopt) {
return;
}
add_observer_called_ = true;
}
bool add_observer_called() const { return add_observer_called_; }
void RemoveObserverForOptimizationTargetModel(
proto::OptimizationTarget target,
OptimizationTargetModelObserver* observer) override {
if (target !=
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD) {
return;
}
remove_observer_called_ = true;
}
bool remove_observer_called() const { return remove_observer_called_; }
private:
bool add_observer_called_ = false;
bool remove_observer_called_ = false;
};
class ModelHandlerTest : public testing::Test {
public:
ModelHandlerTest() = default;
~ModelHandlerTest() override = default;
void SetUp() override {
base::FilePath source_root_dir;
base::PathService::Get(base::DIR_SRC_TEST_DATA_ROOT, &source_root_dir);
model_file_path_ = source_root_dir.AppendASCII("components")
.AppendASCII("test")
.AppendASCII("data")
.AppendASCII("optimization_guide")
.AppendASCII("simple_test.tflite");
model_observer_tracker_ = std::make_unique<ModelObserverTracker>();
}
void TearDown() override { ResetModelHandler(); }
void CreateModelHandler() {
if (model_handler_) {
model_handler_.reset();
}
model_handler_ = std::make_unique<TestModelHandler>(
model_observer_tracker(), task_environment_.GetMainThreadTaskRunner());
}
void ResetModelHandler(std::unique_ptr<TestModelHandler> handle = nullptr) {
model_handler_ = std::move(handle);
// Allow for the background class to be destroyed.
RunUntilIdle();
}
void PushModelFileToModelExecutor(
proto::OptimizationTarget optimization_target,
const std::optional<proto::Any>& model_metadata) {
DCHECK(model_handler());
std::unique_ptr<ModelInfo> model_info =
TestModelInfoBuilder()
.SetModelFilePath(model_file_path_)
.SetModelMetadata(model_metadata)
.Build();
model_handler()->OnModelUpdated(optimization_target, *model_info);
RunUntilIdle();
}
TestModelHandler* model_handler() { return model_handler_.get(); }
ModelObserverTracker* model_observer_tracker() {
return model_observer_tracker_.get();
}
base::test::TaskEnvironment* task_environment() { return &task_environment_; }
void RunUntilIdle() { task_environment_.RunUntilIdle(); }
private:
base::test::TaskEnvironment task_environment_;
base::FilePath model_file_path_;
std::unique_ptr<ModelObserverTracker> model_observer_tracker_;
std::unique_ptr<TestModelHandler> model_handler_;
};
TEST_F(ModelHandlerTest, ObserverIsAttachedCorrectly) {
base::HistogramTester histogram_tester;
CreateModelHandler();
EXPECT_TRUE(model_observer_tracker()->add_observer_called());
ResetModelHandler();
EXPECT_TRUE(model_observer_tracker()->remove_observer_called());
histogram_tester.ExpectUniqueSample(
"OptimizationGuide.ModelHandler.HandlerCreated.PainfulPageLoad", true, 1);
}
TEST_F(ModelHandlerTest, ModelFileUpdatedWrongTarget) {
base::HistogramTester histogram_tester;
CreateModelHandler();
PushModelFileToModelExecutor(
proto::OptimizationTarget::OPTIMIZATION_TARGET_LANGUAGE_DETECTION,
/*model_metadata=*/std::nullopt);
EXPECT_FALSE(model_handler()->ModelAvailable());
histogram_tester.ExpectUniqueSample(
"OptimizationGuide.ModelHandler.HandlerCreated.PainfulPageLoad", true, 1);
histogram_tester.ExpectTotalCount(
"OptimizationGuide.ModelHandler.HandlerCreatedToModelAvailable."
"PainfulPageLoad",
0);
}
TEST_F(ModelHandlerTest, ParsedSupportedFeaturesForLoadedModelNoMetadata) {
base::HistogramTester histogram_tester;
CreateModelHandler();
PushModelFileToModelExecutor(
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD,
/*model_metadata=*/std::nullopt);
EXPECT_TRUE(model_handler()->ModelAvailable());
EXPECT_TRUE(model_handler()->GetModelInfo());
EXPECT_FALSE(model_handler()
->ParsedSupportedFeaturesForLoadedModel<proto::Duration>()
.has_value());
histogram_tester.ExpectUniqueSample(
"OptimizationGuide.ModelHandler.HandlerCreated.PainfulPageLoad", true, 1);
histogram_tester.ExpectTotalCount(
"OptimizationGuide.ModelHandler.HandlerCreatedToModelAvailable."
"PainfulPageLoad",
1);
}
TEST_F(ModelHandlerTest, MultipleModelUpdatesOnlyRecordsMetricOnce) {
base::HistogramTester histogram_tester;
CreateModelHandler();
PushModelFileToModelExecutor(
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD,
/*model_metadata=*/std::nullopt);
PushModelFileToModelExecutor(
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD,
/*model_metadata=*/std::nullopt);
histogram_tester.ExpectUniqueSample(
"OptimizationGuide.ModelHandler.HandlerCreated.PainfulPageLoad", true, 1);
histogram_tester.ExpectTotalCount(
"OptimizationGuide.ModelHandler.HandlerCreatedToModelAvailable."
"PainfulPageLoad",
1);
}
TEST_F(ModelHandlerTest, ParsedSupportedFeaturesForLoadedModelWithMetadata) {
CreateModelHandler();
proto::Any any_metadata;
any_metadata.set_type_url("type.googleapis.com/com.foo.Duration");
proto::Duration model_metadata;
model_metadata.set_seconds(123);
model_metadata.SerializeToString(any_metadata.mutable_value());
PushModelFileToModelExecutor(
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD,
any_metadata);
EXPECT_TRUE(model_handler()->ModelAvailable());
std::optional<proto::Duration> supported_features_for_loaded_model =
model_handler()->ParsedSupportedFeaturesForLoadedModel<proto::Duration>();
ASSERT_TRUE(supported_features_for_loaded_model.has_value());
EXPECT_EQ(123, supported_features_for_loaded_model->seconds());
EXPECT_TRUE(model_handler()->GetModelInfo());
}
TEST_F(ModelHandlerTest, Execute) {
base::HistogramTester histogram_tester;
CreateModelHandler();
std::vector<float> input;
input.push_back(1.0f);
std::unique_ptr<base::RunLoop> run_loop = std::make_unique<base::RunLoop>();
model_handler()->ExecuteModelWithInput(
base::BindOnce(
[](base::RunLoop* run_loop,
const std::optional<std::vector<float>>& output) {
EXPECT_TRUE(output.has_value());
EXPECT_EQ((size_t)1, output.value().size());
EXPECT_EQ(1.0f, output.value().at(0));
run_loop->Quit();
},
run_loop.get()),
input);
run_loop->Run();
histogram_tester.ExpectTotalCount(
"OptimizationGuide.ModelExecutor.TaskExecutionLatency." +
optimization_guide::GetStringNameForOptimizationTarget(
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD),
1);
}
TEST_F(ModelHandlerTest, ExecuteWithCancelableTaskTracker) {
base::HistogramTester histogram_tester;
CreateModelHandler();
base::CancelableTaskTracker task_tracker;
std::vector<float> input;
input.push_back(1.0f);
std::unique_ptr<base::RunLoop> run_loop = std::make_unique<base::RunLoop>();
model_handler()->ExecuteModelWithInput(
&task_tracker,
base::BindOnce(
[](base::RunLoop* run_loop,
const std::optional<std::vector<float>>& output) {
EXPECT_TRUE(output.has_value());
EXPECT_EQ((size_t)1, output.value().size());
EXPECT_EQ(1.0f, output.value().at(0));
run_loop->Quit();
},
run_loop.get()),
input);
run_loop->Run();
histogram_tester.ExpectTotalCount(
"OptimizationGuide.ModelExecutor.TaskExecutionLatency." +
optimization_guide::GetStringNameForOptimizationTarget(
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD),
1);
}
TEST_F(ModelHandlerTest, ExecuteWithCancelableTaskTrackerCanceled) {
base::HistogramTester histogram_tester;
CreateModelHandler();
base::CancelableTaskTracker task_tracker;
std::vector<float> input;
input.push_back(1.0f);
bool task_completed = false;
model_handler()->ExecuteModelWithInput(
&task_tracker,
base::BindOnce(
[](bool* task_completed,
const std::optional<std::vector<float>>& output) {
*task_completed = true;
},
&task_completed),
input);
task_tracker.TryCancelAll();
ASSERT_FALSE(task_completed);
histogram_tester.ExpectTotalCount(
"OptimizationGuide.ModelExecutor.TaskExecutionLatency." +
optimization_guide::GetStringNameForOptimizationTarget(
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD),
0);
}
TEST_F(ModelHandlerTest, BatchExecuteModelWithInputSync) {
base::HistogramTester histogram_tester;
CreateModelHandler();
std::vector<float> input;
input.push_back(1.0f);
auto batch_outputs =
model_handler()->BatchExecuteModelWithInputSync({input, input});
EXPECT_EQ(2u, batch_outputs.size());
for (const auto& output : batch_outputs) {
ASSERT_TRUE(output.has_value());
EXPECT_EQ(1u, output.value().size());
EXPECT_EQ(1.0f, output.value().at(0));
}
histogram_tester.ExpectTotalCount(
"OptimizationGuide.ModelExecutor.TaskExecutionLatency." +
optimization_guide::GetStringNameForOptimizationTarget(
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD),
1);
}
TEST_F(ModelHandlerTest, AddOnModelUpdatedCallback_RunsImmediately) {
CreateModelHandler();
proto::Any any_metadata;
any_metadata.set_type_url("type.googleapis.com/com.foo.Duration");
proto::Duration model_metadata;
model_metadata.set_seconds(123);
model_metadata.SerializeToString(any_metadata.mutable_value());
PushModelFileToModelExecutor(
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD,
any_metadata);
EXPECT_TRUE(model_handler()->ModelAvailable());
bool callback_run = false;
model_handler()->AddOnModelUpdatedCallback(
base::BindOnce([](bool* flag) { *flag = true; }, &callback_run));
EXPECT_TRUE(callback_run);
}
TEST_F(ModelHandlerTest, AddOnModelUpdatedCallback_RunsOnUpdate) {
CreateModelHandler();
bool callback_run = false;
model_handler()->AddOnModelUpdatedCallback(
base::BindOnce([](bool* flag) { *flag = true; }, &callback_run));
EXPECT_FALSE(callback_run);
proto::Any any_metadata;
any_metadata.set_type_url("type.googleapis.com/com.foo.Duration");
proto::Duration model_metadata;
model_metadata.set_seconds(123);
model_metadata.SerializeToString(any_metadata.mutable_value());
PushModelFileToModelExecutor(
proto::OptimizationTarget::OPTIMIZATION_TARGET_PAINFUL_PAGE_LOAD,
any_metadata);
EXPECT_TRUE(model_handler()->ModelAvailable());
EXPECT_TRUE(callback_run);
}
TEST_F(ModelHandlerTest, AddOnModelUpdatedCallback_NeverRun) {
CreateModelHandler();
bool callback_run = false;
model_handler()->AddOnModelUpdatedCallback(
base::BindOnce([](bool* flag) { *flag = true; }, &callback_run));
EXPECT_FALSE(callback_run);
// Resets model_handler
CreateModelHandler();
EXPECT_FALSE(callback_run);
}
} // namespace
} // namespace optimization_guide
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