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1 // Copyright 2018 Hans Dembinski
2 //
3 // Distributed under the Boost Software License, Version 1.0.
4 // (See accompanying file LICENSE_1_0.txt
5 // or copy at http://www.boost.org/LICENSE_1_0.txt)
6
7 #include <benchmark/benchmark.h>
8 #include <boost/histogram/axis/integer.hpp>
9 #include <boost/histogram/axis/regular.hpp>
10 #include <boost/histogram/histogram.hpp>
11 #include <boost/histogram/indexed.hpp>
12 #include <boost/histogram/literals.hpp>
13 #include <boost/histogram/make_histogram.hpp>
14 #include <boost/mp11/integral.hpp>
15 #include <vector>
16 #include "../test/throw_exception.hpp"
17
18 #include <cassert>
19 struct assert_check {
20 assert_check() {
21 assert(false); // don't run with asserts enabled
22 }
23 } _;
24
25 using namespace boost::histogram;
26 using namespace boost::histogram::literals;
27
28 struct tuple {};
29 struct vector {};
30 struct vector_of_variant {};
31
32 template <unsigned I>
33 using Dim_t = boost::mp11::mp_int<I>;
34
35 using d1 = Dim_t<1>;
36 using d2 = Dim_t<2>;
37 using d3 = Dim_t<3>;
38
39 auto make_histogram(tuple, d1, unsigned n) {
40 return make_histogram_with(std::vector<unsigned>(), axis::integer<>(0, n));
41 }
42
43 auto make_histogram(tuple, d2, unsigned n) {
44 return make_histogram_with(std::vector<unsigned>(), axis::integer<>(0, n),
45 axis::integer<>(0, n));
46 }
47
48 auto make_histogram(tuple, d3, unsigned n) {
49 return make_histogram_with(std::vector<unsigned>(), axis::integer<>(0, n),
50 axis::integer<>(0, n), axis::integer<>(0, n));
51 }
52
53 template <int Dim>
54 auto make_histogram(vector, boost::mp11::mp_int<Dim>, unsigned n) {
55 std::vector<axis::integer<>> axes;
56 for (unsigned d = 0; d < Dim; ++d) axes.emplace_back(axis::integer<>(0, n));
57 return make_histogram_with(std::vector<unsigned>(), std::move(axes));
58 }
59
60 template <int Dim>
61 auto make_histogram(vector_of_variant, boost::mp11::mp_int<Dim>, unsigned n) {
62 std::vector<axis::variant<axis::integer<>>> axes;
63 for (unsigned d = 0; d < Dim; ++d) axes.emplace_back(axis::integer<>(0, n));
64 return make_histogram_with(std::vector<unsigned>(), std::move(axes));
65 }
66
67 template <class Tag>
68 static void Naive(benchmark::State& state, Tag, d1, coverage cov) {
69 auto h = make_histogram(Tag(), d1(), state.range(0));
70 const int d = cov == coverage::all;
71 for (auto _ : state) {
72 for (int i = -d; i < h.axis().size() + d; ++i) {
73 benchmark::DoNotOptimize(i);
74 benchmark::DoNotOptimize(h.at(i));
75 }
76 }
77 }
78
79 template <class Tag>
80 static void Naive(benchmark::State& state, Tag, d2, coverage cov) {
81 auto h = make_histogram(Tag(), d2(), state.range(0));
82 const int d = cov == coverage::all;
83 for (auto _ : state) {
84 for (int i = -d; i < h.axis(0_c).size() + d; ++i) {
85 for (int j = -d; j < h.axis(1_c).size() + d; ++j) {
86 benchmark::DoNotOptimize(i);
87 benchmark::DoNotOptimize(j);
88 benchmark::DoNotOptimize(h.at(i, j));
89 }
90 }
91 }
92 }
93
94 template <class Tag>
95 static void Naive(benchmark::State& state, Tag, d3, coverage cov) {
96 auto h = make_histogram(Tag(), d3(), state.range(0));
97 const int d = cov == coverage::all;
98 for (auto _ : state) {
99 for (int i = -d; i < h.axis(0_c).size() + d; ++i) {
100 for (int j = -d; j < h.axis(1_c).size() + d; ++j) {
101 for (int k = -d; k < h.axis(2_c).size() + d; ++k) {
102 benchmark::DoNotOptimize(i);
103 benchmark::DoNotOptimize(j);
104 benchmark::DoNotOptimize(k);
105 benchmark::DoNotOptimize(h.at(i, j, k));
106 }
107 }
108 }
109 }
110 }
111
112 template <class Tag>
113 static void Indexed(benchmark::State& state, Tag, d1, coverage cov) {
114 auto h = make_histogram(Tag(), d1(), state.range(0));
115 for (auto _ : state) {
116 for (auto&& x : indexed(h, cov)) {
117 benchmark::DoNotOptimize(*x);
118 benchmark::DoNotOptimize(x.index());
119 }
120 }
121 }
122
123 template <class Tag>
124 static void Indexed(benchmark::State& state, Tag, d2, coverage cov) {
125 auto h = make_histogram(Tag(), d2(), state.range(0));
126 for (auto _ : state) {
127 for (auto&& x : indexed(h, cov)) {
128 benchmark::DoNotOptimize(*x);
129 benchmark::DoNotOptimize(x.index(0));
130 benchmark::DoNotOptimize(x.index(1));
131 }
132 }
133 }
134
135 template <class Tag>
136 static void Indexed(benchmark::State& state, Tag, d3, coverage cov) {
137 auto h = make_histogram(Tag(), d3(), state.range(0));
138 for (auto _ : state) {
139 for (auto&& x : indexed(h, cov)) {
140 benchmark::DoNotOptimize(*x);
141 benchmark::DoNotOptimize(x.index(0));
142 benchmark::DoNotOptimize(x.index(1));
143 benchmark::DoNotOptimize(x.index(2));
144 }
145 }
146 }
147
148 #define BENCH(Type, Tag, Dim, Cov) \
149 BENCHMARK_CAPTURE(Type, (Tag, Dim, Cov), Tag{}, Dim_t<Dim>{}, coverage::Cov) \
150 ->RangeMultiplier(4) \
151 ->Range(4, 256)
152
153 BENCH(Naive, tuple, 1, inner);
154 BENCH(Indexed, tuple, 1, inner);
155
156 BENCH(Naive, vector, 1, inner);
157 BENCH(Indexed, vector, 1, inner);
158
159 BENCH(Naive, vector_of_variant, 1, inner);
160 BENCH(Indexed, vector_of_variant, 1, inner);
161
162 BENCH(Naive, tuple, 2, inner);
163 BENCH(Indexed, tuple, 2, inner);
164
165 BENCH(Naive, vector, 2, inner);
166 BENCH(Indexed, vector, 2, inner);
167
168 BENCH(Naive, vector_of_variant, 2, inner);
169 BENCH(Indexed, vector_of_variant, 2, inner);
170
171 BENCH(Naive, tuple, 3, inner);
172 BENCH(Indexed, tuple, 3, inner);
173
174 BENCH(Naive, vector, 3, inner);
175 BENCH(Indexed, vector, 3, inner);
176
177 BENCH(Naive, vector_of_variant, 3, inner);
178 BENCH(Indexed, vector_of_variant, 3, inner);