forked from OSchip/llvm-project
Add benchmarks for std::function.
Summary: Benchmarks for construct, copy, move, swap, destroy and invoke, with 8 different input states. For the cases that matter, it tests with and without allowing constant value propagation from construction into the operation tested. This also adds helper functions to generate the cartesian product of different configurations and generate benchmarks for all of them. Reviewers: EricWF Subscribers: christof, ldionne, libcxx-commits Differential Revision: https://reviews.llvm.org/D53087 llvm-svn: 344415
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is dual licensed under the MIT and the University of Illinois Open
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// Source Licenses. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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#include <string>
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#include <tuple>
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#include <type_traits>
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#include "benchmark/benchmark.h"
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#include "test_macros.h"
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namespace internal {
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template <class D, class E, size_t I>
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struct EnumValue : std::integral_constant<E, static_cast<E>(I)> {
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static std::string name() { return std::string("_") + D::Names[I]; }
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};
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template <class D, class E, size_t ...Idxs>
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constexpr auto makeEnumValueTuple(std::index_sequence<Idxs...>) {
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return std::make_tuple(EnumValue<D, E, Idxs>{}...);
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}
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template <class T>
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static auto skip(int) -> decltype(T::skip()) {
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return T::skip();
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}
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template <class T>
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static bool skip(char) {
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return false;
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}
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template <template <class...> class B, class... U>
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void makeBenchmarkImpl(std::tuple<U...> t) {
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using T = B<U...>;
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if (!internal::skip<T>(0))
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benchmark::RegisterBenchmark(T::name().c_str(), T::run);
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}
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template <template <class...> class B, class... U, class... T, class... Tuples>
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void makeBenchmarkImpl(std::tuple<U...>, std::tuple<T...>, Tuples... rest) {
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(internal::makeBenchmarkImpl<B>(std::tuple<U..., T>(), rest...), ...);
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}
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} // namespace internal
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// CRTP class that enables using enum types as a dimension for
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// makeCartesianProductBenchmark below.
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// The type passed to `B` will be a std::integral_constant<E, e>, with the
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// additional static function `name()` that returns the stringified name of the
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// label.
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//
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// Eg:
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// enum class MyEnum { A, B };
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// struct AllMyEnum : EnumValuesAsTuple<AllMyEnum, MyEnum, 2> {
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// static constexpr absl::string_view Names[] = {"A", "B"};
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// };
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template <class Derived, class EnumType, size_t NumLabels>
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using EnumValuesAsTuple =
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decltype(internal::makeEnumValueTuple<Derived, EnumType>(
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std::make_index_sequence<NumLabels>{}));
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// Instantiates B<T0, T1, ..., TN> where <Ti...> are the combinations in the
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// cartesian product of `Tuples...`
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// B<T...> requires:
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// - static std::string name(): The name of the benchmark.
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// - static void run(benchmark::State&): The body of the benchmark.
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// It can also optionally provide:
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// - static bool skip(): When `true`, skips the combination. Default is false.
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//
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// Returns int to facilitate registration. The return value is unspecified.
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template <template <class...> class B, class... Tuples>
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int makeCartesianProductBenchmark() {
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internal::makeBenchmarkImpl<B>(std::tuple<>(), Tuples()...);
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return 0;
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}
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// When `opaque` is true, this function hides the runtime state of `value` from
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// the optimizer.
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// It returns `value`.
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template <class T>
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TEST_ALWAYS_INLINE inline T maybeOpaque(T value, bool opaque) {
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if (opaque) benchmark::DoNotOptimize(value);
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return value;
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}
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is dual licensed under the MIT and the University of Illinois Open
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// Source Licenses. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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#include <cstdint>
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#include <functional>
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#include <memory>
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#include <string>
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#include "CartesianBenchmarks.hpp"
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#include "benchmark/benchmark.h"
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#include "test_macros.h"
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namespace {
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enum class FunctionType {
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Null,
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FunctionPointer,
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MemberFunctionPointer,
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MemberPointer,
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SmallTrivialFunctor,
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SmallNonTrivialFunctor,
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LargeTrivialFunctor,
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LargeNonTrivialFunctor
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};
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struct AllFunctionTypes : EnumValuesAsTuple<AllFunctionTypes, FunctionType, 8> {
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static constexpr const char* Names[] = {"Null",
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"FuncPtr",
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"MemFuncPtr",
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"MemPtr",
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"SmallTrivialFunctor",
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"SmallNonTrivialFunctor",
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"LargeTrivialFunctor",
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"LargeNonTrivialFunctor"};
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};
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enum class Opacity { kOpaque, kTransparent };
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struct AllOpacity : EnumValuesAsTuple<AllOpacity, Opacity, 2> {
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static constexpr const char* Names[] = {"Opaque", "Transparent"};
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};
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struct S {
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int function() const { return 0; }
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int field;
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};
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int FunctionWithS(const S*) { return 0; }
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struct SmallTrivialFunctor {
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int operator()(const S*) const { return 0; }
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};
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struct SmallNonTrivialFunctor {
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SmallNonTrivialFunctor() {}
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SmallNonTrivialFunctor(const SmallNonTrivialFunctor&) {}
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~SmallNonTrivialFunctor() {}
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int operator()(const S*) const { return 0; }
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};
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struct LargeTrivialFunctor {
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LargeTrivialFunctor() {
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// Do not spend time initializing the padding.
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}
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int padding[16];
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int operator()(const S*) const { return 0; }
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};
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struct LargeNonTrivialFunctor {
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int padding[16];
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LargeNonTrivialFunctor() {
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// Do not spend time initializing the padding.
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}
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LargeNonTrivialFunctor(const LargeNonTrivialFunctor&) {}
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~LargeNonTrivialFunctor() {}
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int operator()(const S*) const { return 0; }
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};
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using Function = std::function<int(const S*)>;
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TEST_ALWAYS_INLINE
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inline Function MakeFunction(FunctionType type, bool opaque = false) {
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switch (type) {
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case FunctionType::Null:
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return nullptr;
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case FunctionType::FunctionPointer:
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return maybeOpaque(FunctionWithS, opaque);
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case FunctionType::MemberFunctionPointer:
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return maybeOpaque(&S::function, opaque);
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case FunctionType::MemberPointer:
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return maybeOpaque(&S::field, opaque);
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case FunctionType::SmallTrivialFunctor:
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return maybeOpaque(SmallTrivialFunctor{}, opaque);
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case FunctionType::SmallNonTrivialFunctor:
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return maybeOpaque(SmallNonTrivialFunctor{}, opaque);
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case FunctionType::LargeTrivialFunctor:
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return maybeOpaque(LargeTrivialFunctor{}, opaque);
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case FunctionType::LargeNonTrivialFunctor:
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return maybeOpaque(LargeNonTrivialFunctor{}, opaque);
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}
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}
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template <class Opacity, class FunctionType>
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struct ConstructAndDestroy {
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static void run(benchmark::State& state) {
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for (auto _ : state) {
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if (Opacity() == ::Opacity::kOpaque) {
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benchmark::DoNotOptimize(MakeFunction(FunctionType(), true));
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} else {
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MakeFunction(FunctionType());
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}
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}
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}
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static std::string name() {
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return "BM_ConstructAndDestroy" + FunctionType::name() + Opacity::name();
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}
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};
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template <class FunctionType>
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struct Copy {
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static void run(benchmark::State& state) {
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auto value = MakeFunction(FunctionType());
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for (auto _ : state) {
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benchmark::DoNotOptimize(value);
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auto copy = value; // NOLINT
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benchmark::DoNotOptimize(copy);
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}
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}
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static std::string name() { return "BM_Copy" + FunctionType::name(); }
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};
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template <class FunctionType>
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struct Move {
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static void run(benchmark::State& state) {
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Function values[2] = {MakeFunction(FunctionType())};
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int i = 0;
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for (auto _ : state) {
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benchmark::DoNotOptimize(values);
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benchmark::DoNotOptimize(values[i ^ 1] = std::move(values[i]));
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i ^= 1;
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}
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}
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static std::string name() {
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return "BM_Move" + FunctionType::name();
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}
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};
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template <class Function1, class Function2>
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struct Swap {
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static void run(benchmark::State& state) {
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Function values[2] = {MakeFunction(Function1()), MakeFunction(Function2())};
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for (auto _ : state) {
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benchmark::DoNotOptimize(values);
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values[0].swap(values[1]);
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}
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}
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static bool skip() { return Function1() > Function2(); }
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static std::string name() {
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return "BM_Swap" + Function1::name() + Function2::name();
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}
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};
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template <class FunctionType>
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struct OperatorBool {
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static void run(benchmark::State& state) {
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auto f = MakeFunction(FunctionType());
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for (auto _ : state) {
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benchmark::DoNotOptimize(f);
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benchmark::DoNotOptimize(static_cast<bool>(f));
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}
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}
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static std::string name() { return "BM_OperatorBool" + FunctionType::name(); }
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};
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template <class FunctionType>
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struct Invoke {
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static void run(benchmark::State& state) {
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S s;
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const auto value = MakeFunction(FunctionType());
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for (auto _ : state) {
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benchmark::DoNotOptimize(value);
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benchmark::DoNotOptimize(value(&s));
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}
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}
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static bool skip() { return FunctionType() == ::FunctionType::Null; }
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static std::string name() { return "BM_Invoke" + FunctionType::name(); }
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};
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template <class FunctionType>
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struct InvokeInlined {
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static void run(benchmark::State& state) {
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S s;
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for (auto _ : state) {
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MakeFunction(FunctionType())(&s);
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}
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}
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static bool skip() { return FunctionType() == ::FunctionType::Null; }
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static std::string name() {
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return "BM_InvokeInlined" + FunctionType::name();
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}
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};
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} // namespace
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int main(int argc, char** argv) {
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benchmark::Initialize(&argc, argv);
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if (benchmark::ReportUnrecognizedArguments(argc, argv))
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return 1;
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makeCartesianProductBenchmark<ConstructAndDestroy, AllOpacity,
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AllFunctionTypes>();
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makeCartesianProductBenchmark<Copy, AllFunctionTypes>();
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makeCartesianProductBenchmark<Move, AllFunctionTypes>();
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makeCartesianProductBenchmark<Swap, AllFunctionTypes, AllFunctionTypes>();
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makeCartesianProductBenchmark<OperatorBool, AllFunctionTypes>();
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makeCartesianProductBenchmark<Invoke, AllFunctionTypes>();
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makeCartesianProductBenchmark<InvokeInlined, AllFunctionTypes>();
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benchmark::RunSpecifiedBenchmarks();
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}
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