llvm-for-llvmta/unittests/tools/llvm-exegesis/ClusteringTest.cpp

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//===-- ClusteringTest.cpp --------------------------------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#include "Clustering.h"
#include "BenchmarkResult.h"
#include "llvm/Support/Error.h"
#include "llvm/Support/raw_ostream.h"
#include "gmock/gmock.h"
#include "gtest/gtest.h"
namespace llvm {
namespace exegesis {
namespace {
using testing::Field;
using testing::UnorderedElementsAre;
using testing::UnorderedElementsAreArray;
static const auto HasPoints = [](const std::vector<int> &Indices) {
return Field(&InstructionBenchmarkClustering::Cluster::PointIndices,
UnorderedElementsAreArray(Indices));
};
TEST(ClusteringTest, Clusters3D) {
std::vector<InstructionBenchmark> Points(6);
// Cluster around (x=0, y=1, z=2): points {0, 3}.
Points[0].Measurements = {
{"x", 0.01, 0.0}, {"y", 1.02, 0.0}, {"z", 1.98, 0.0}};
Points[3].Measurements = {
{"x", -0.01, 0.0}, {"y", 1.02, 0.0}, {"z", 1.98, 0.0}};
// Cluster around (x=1, y=1, z=2): points {1, 4}.
Points[1].Measurements = {
{"x", 1.01, 0.0}, {"y", 1.02, 0.0}, {"z", 1.98, 0.0}};
Points[4].Measurements = {
{"x", 0.99, 0.0}, {"y", 1.02, 0.0}, {"z", 1.98, 0.0}};
// Cluster around (x=0, y=0, z=0): points {5}, marked as noise.
Points[5].Measurements = {
{"x", 0.0, 0.0}, {"y", 0.01, 0.0}, {"z", -0.02, 0.0}};
// Error cluster: points {2}
Points[2].Error = "oops";
auto Clustering = InstructionBenchmarkClustering::create(
Points, InstructionBenchmarkClustering::ModeE::Dbscan, 2, 0.25);
ASSERT_TRUE((bool)Clustering);
EXPECT_THAT(Clustering.get().getValidClusters(),
UnorderedElementsAre(HasPoints({0, 3}), HasPoints({1, 4})));
EXPECT_THAT(Clustering.get().getCluster(
InstructionBenchmarkClustering::ClusterId::noise()),
HasPoints({5}));
EXPECT_THAT(Clustering.get().getCluster(
InstructionBenchmarkClustering::ClusterId::error()),
HasPoints({2}));
EXPECT_EQ(Clustering.get().getClusterIdForPoint(2),
InstructionBenchmarkClustering::ClusterId::error());
EXPECT_EQ(Clustering.get().getClusterIdForPoint(5),
InstructionBenchmarkClustering::ClusterId::noise());
EXPECT_EQ(Clustering.get().getClusterIdForPoint(0),
Clustering.get().getClusterIdForPoint(3));
EXPECT_EQ(Clustering.get().getClusterIdForPoint(1),
Clustering.get().getClusterIdForPoint(4));
}
TEST(ClusteringTest, Clusters3D_InvalidSize) {
std::vector<InstructionBenchmark> Points(6);
Points[0].Measurements = {
{"x", 0.01, 0.0}, {"y", 1.02, 0.0}, {"z", 1.98, 0.0}};
Points[1].Measurements = {{"y", 1.02, 0.0}, {"z", 1.98, 0.0}};
auto Error =
InstructionBenchmarkClustering::create(
Points, InstructionBenchmarkClustering::ModeE::Dbscan, 2, 0.25)
.takeError();
ASSERT_TRUE((bool)Error);
consumeError(std::move(Error));
}
TEST(ClusteringTest, Clusters3D_InvalidOrder) {
std::vector<InstructionBenchmark> Points(6);
Points[0].Measurements = {{"x", 0.01, 0.0}, {"y", 1.02, 0.0}};
Points[1].Measurements = {{"y", 1.02, 0.0}, {"x", 1.98, 0.0}};
auto Error =
InstructionBenchmarkClustering::create(
Points, InstructionBenchmarkClustering::ModeE::Dbscan, 2, 0.25)
.takeError();
ASSERT_TRUE((bool)Error);
consumeError(std::move(Error));
}
TEST(ClusteringTest, Ordering) {
ASSERT_LT(InstructionBenchmarkClustering::ClusterId::makeValid(1),
InstructionBenchmarkClustering::ClusterId::makeValid(2));
ASSERT_LT(InstructionBenchmarkClustering::ClusterId::makeValid(2),
InstructionBenchmarkClustering::ClusterId::noise());
ASSERT_LT(InstructionBenchmarkClustering::ClusterId::makeValid(2),
InstructionBenchmarkClustering::ClusterId::error());
ASSERT_LT(InstructionBenchmarkClustering::ClusterId::noise(),
InstructionBenchmarkClustering::ClusterId::error());
}
TEST(ClusteringTest, Ordering1) {
std::vector<InstructionBenchmark> Points(3);
Points[0].Measurements = {
{"x", 0.0, 0.0}};
Points[1].Measurements = {
{"x", 1.0, 0.0}};
Points[2].Measurements = {
{"x", 2.0, 0.0}};
auto Clustering = InstructionBenchmarkClustering::create(
Points, InstructionBenchmarkClustering::ModeE::Dbscan, 2, 1.1);
ASSERT_TRUE((bool)Clustering);
EXPECT_THAT(Clustering.get().getValidClusters(),
UnorderedElementsAre(HasPoints({0, 1, 2})));
}
TEST(ClusteringTest, Ordering2) {
std::vector<InstructionBenchmark> Points(3);
Points[0].Measurements = {
{"x", 0.0, 0.0}};
Points[1].Measurements = {
{"x", 2.0, 0.0}};
Points[2].Measurements = {
{"x", 1.0, 0.0}};
auto Clustering = InstructionBenchmarkClustering::create(
Points, InstructionBenchmarkClustering::ModeE::Dbscan, 2, 1.1);
ASSERT_TRUE((bool)Clustering);
EXPECT_THAT(Clustering.get().getValidClusters(),
UnorderedElementsAre(HasPoints({0, 1, 2})));
}
} // namespace
} // namespace exegesis
} // namespace llvm