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/***************************************************************************
* Copyright (c) 2016, Johan Mabille, Sylvain Corlay and Wolf Vollprecht *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
#include <chrono>
#include <cstddef>
#include <string>
#include <benchmark/benchmark.h>
#include "xtensor/xarray.hpp"
#include "xtensor/xmanipulation.hpp"
#include "xtensor/xnoalias.hpp"
#include "xtensor/xstrided_view.hpp"
#include "xtensor/xstrides.hpp"
#include "xtensor/xtensor.hpp"
#include "xtensor/xview.hpp"
namespace xt
{
// Thanks to Ullrich Koethe for these benchmarks
// https://github.com/xtensor-stack/xtensor/issues/695
namespace view_benchmarks
{
constexpr int SIZE = 1000;
template <class V>
void view_dynamic_iterator(benchmark::State& state)
{
xt::xtensor<V, 2> data = xt::ones<V>({SIZE, SIZE});
xt::xtensor<V, 1> res = xt::ones<V>({SIZE});
auto v = xt::strided_view(data, xt::xstrided_slice_vector{xt::all(), SIZE / 2});
for (auto _ : state)
{
std::copy(v.begin(), v.end(), res.begin());
benchmark::DoNotOptimize(res.data());
}
}
template <class V>
void view_iterator(benchmark::State& state)
{
xt::xtensor<V, 2> data = xt::ones<V>({SIZE, SIZE});
xt::xtensor<V, 1> res = xt::ones<V>({SIZE});
auto v = xt::view(data, xt::all(), SIZE / 2);
for (auto _ : state)
{
std::copy(v.begin(), v.end(), res.begin());
benchmark::DoNotOptimize(res.data());
}
}
template <class V>
void view_loop(benchmark::State& state)
{
xt::xtensor<V, 2> data = xt::ones<V>({SIZE, SIZE});
xt::xtensor<V, 1> res = xt::ones<V>({SIZE});
auto v = xt::strided_view(data, xt::xstrided_slice_vector{xt::all(), SIZE / 2});
for (auto _ : state)
{
for (std::size_t k = 0; k < v.shape()[0]; ++k)
{
res(k) = v(k);
}
benchmark::DoNotOptimize(res.data());
}
}
template <class V>
void view_loop_view(benchmark::State& state)
{
xt::xtensor<V, 2> data = xt::ones<V>({SIZE, SIZE});
xt::xtensor<V, 1> res = xt::ones<V>({SIZE});
auto v = xt::view(data, xt::all(), SIZE / 2);
for (auto _ : state)
{
for (std::size_t k = 0; k < v.shape()[0]; ++k)
{
res(k) = v(k);
}
benchmark::DoNotOptimize(res.data());
}
}
template <class V>
void view_loop_raw(benchmark::State& state)
{
xt::xtensor<V, 2> data = xt::ones<V>({SIZE, SIZE});
xt::xtensor<V, 1> res = xt::ones<V>({SIZE});
for (auto _ : state)
{
std::size_t j = SIZE / 2;
for (std::size_t k = 0; k < SIZE; ++k)
{
res(k) = data(k, j);
}
benchmark::DoNotOptimize(res.data());
}
}
template <class V>
void view_assign(benchmark::State& state)
{
xt::xtensor<V, 2> data = xt::ones<V>({SIZE, SIZE});
xt::xtensor<V, 1> res = xt::ones<V>({SIZE});
auto v = xt::strided_view(data, xt::xstrided_slice_vector{xt::all(), SIZE / 2});
for (auto _ : state)
{
xt::noalias(res) = v;
benchmark::DoNotOptimize(res.data());
}
}
template <class V>
void view_assign_view(benchmark::State& state)
{
xt::xtensor<V, 2> data = xt::ones<V>({SIZE, SIZE});
xt::xtensor<V, 1> res = xt::ones<V>({SIZE});
auto v = xt::view(data, xt::all(), SIZE / 2);
auto r = xt::view(res, xt::all());
for (auto _ : state)
{
r = v;
benchmark::DoNotOptimize(r.data());
}
}
template <class V>
void view_assign_strided_view(benchmark::State& state)
{
xt::xtensor<V, 2> data = xt::ones<V>({SIZE, SIZE});
xt::xtensor<V, 1> res = xt::ones<V>({SIZE});
auto v = xt::strided_view(data, xt::xstrided_slice_vector{xt::all(), SIZE / 2});
auto r = xt::strided_view(res, xt::xstrided_slice_vector{xt::all()});
for (auto _ : state)
{
r = v;
benchmark::DoNotOptimize(r.data());
}
}
template <class V>
void view_assign_view_noalias(benchmark::State& state)
{
xt::xtensor<V, 2> data = xt::ones<V>({SIZE, SIZE});
xt::xtensor<V, 1> res = xt::ones<V>({SIZE});
auto v = xt::view(data, xt::all(), SIZE / 2);
auto r = xt::view(res, xt::all());
for (auto _ : state)
{
xt::noalias(r) = v;
benchmark::DoNotOptimize(r.data());
}
}
template <class V>
void view_assign_strided_view_noalias(benchmark::State& state)
{
xt::xtensor<V, 2> data = xt::ones<V>({SIZE, SIZE});
xt::xtensor<V, 1> res = xt::ones<V>({SIZE});
auto v = xt::strided_view(data, xt::xstrided_slice_vector{xt::all(), SIZE / 2});
auto r = xt::strided_view(res, xt::xstrided_slice_vector{xt::all()});
for (auto _ : state)
{
xt::noalias(r) = v;
benchmark::DoNotOptimize(r.data());
}
}
BENCHMARK_TEMPLATE(view_dynamic_iterator, float);
BENCHMARK_TEMPLATE(view_iterator, float);
BENCHMARK_TEMPLATE(view_loop, float);
BENCHMARK_TEMPLATE(view_loop_view, float);
BENCHMARK_TEMPLATE(view_loop_raw, float);
BENCHMARK_TEMPLATE(view_assign, float);
BENCHMARK_TEMPLATE(view_assign_view, float);
BENCHMARK_TEMPLATE(view_assign_strided_view, float);
BENCHMARK_TEMPLATE(view_assign_view_noalias, float);
BENCHMARK_TEMPLATE(view_assign_strided_view_noalias, float);
}
namespace finite_diff
{
inline auto stencil_threedirections(benchmark::State& state, size_t size)
{
for (auto _ : state)
{
const std::array<size_t, 3> shape = {size, size, size};
xt::xtensor<double, 3> a(shape), b(shape);
auto core = xt::range(1, size - 1);
xt::noalias(xt::view(b, core, core, core)
) = 1.0 / 7.0
* (xt::view(a, core, core, core) + xt::view(a, core, core, xt::range(2, size))
+ xt::view(a, core, core, xt::range(0, size - 2))
+ xt::view(a, core, xt::range(2, size), core)
+ xt::view(a, core, xt::range(0, size - 2), core)
+ xt::view(a, xt::range(2, size), core, core)
+ xt::view(a, xt::range(0, size - 2), core, core));
benchmark::DoNotOptimize(b);
}
}
inline auto stencil_twodirections(benchmark::State& state, size_t size)
{
for (auto _ : state)
{
const std::array<size_t, 3> shape = {size, size, size};
xt::xtensor<double, 3> a(shape), b(shape);
auto core = xt::range(1, size - 1);
xt::noalias(xt::view(b, core, core, core)
) = 1.0 / 7.0
* (xt::view(a, core, core, core) + xt::view(a, core, xt::range(2, size), core)
+ xt::view(a, core, xt::range(0, size - 2), core)
+ xt::view(a, xt::range(2, size), core, core)
+ xt::view(a, xt::range(0, size - 2), core, core));
benchmark::DoNotOptimize(b);
}
}
inline auto stencil_onedirection(benchmark::State& state, size_t size)
{
for (auto _ : state)
{
const std::array<size_t, 3> shape = {size, size, size};
xt::xtensor<double, 3> a(shape), b(shape);
auto core = xt::range(1, size - 1);
xt::noalias(xt::view(b, core, core, core)
) = 1.0 / 2.0
* (xt::view(a, xt::range(2, size), core, core)
- xt::view(a, xt::range(0, size - 2), core, core));
benchmark::DoNotOptimize(b);
}
}
BENCHMARK_CAPTURE(stencil_threedirections, stencil_threedirections_50, 50);
BENCHMARK_CAPTURE(stencil_threedirections, stencil_threedirections_100, 100);
BENCHMARK_CAPTURE(stencil_threedirections, stencil_threedirections_200, 200);
BENCHMARK_CAPTURE(stencil_threedirections, stencil_threedirections_300, 300);
BENCHMARK_CAPTURE(stencil_threedirections, stencil_threedirections_500, 500);
BENCHMARK_CAPTURE(stencil_twodirections, stencil_twodirections_50, 50);
BENCHMARK_CAPTURE(stencil_twodirections, stencil_twodirections_100, 100);
BENCHMARK_CAPTURE(stencil_twodirections, stencil_twodirections_200, 200);
BENCHMARK_CAPTURE(stencil_twodirections, stencil_twodirections_300, 300);
BENCHMARK_CAPTURE(stencil_twodirections, stencil_twodirections_500, 500);
BENCHMARK_CAPTURE(stencil_onedirection, stencil_onedirections_50, 50);
BENCHMARK_CAPTURE(stencil_onedirection, stencil_onedirections_100, 100);
BENCHMARK_CAPTURE(stencil_onedirection, stencil_onedirections_200, 200);
BENCHMARK_CAPTURE(stencil_onedirection, stencil_onedirections_300, 300);
BENCHMARK_CAPTURE(stencil_onedirection, stencil_onedirections_500, 500);
}
namespace stridedview
{
template <layout_type L1, layout_type L2>
inline auto transpose_assign(benchmark::State& state, std::vector<std::size_t> shape)
{
xarray<double, L1> x = xt::arange<double>(compute_size(shape));
x.resize(shape);
xarray<double, L2> res;
res.resize(std::vector<std::size_t>(shape.rbegin(), shape.rend()));
for (auto _ : state)
{
res = transpose(x);
}
}
auto transpose_assign_rm_rm = transpose_assign<layout_type::row_major, layout_type::row_major>;
auto transpose_assign_cm_cm = transpose_assign<layout_type::column_major, layout_type::column_major>;
auto transpose_assign_rm_cm = transpose_assign<layout_type::row_major, layout_type::column_major>;
auto transpose_assign_cm_rm = transpose_assign<layout_type::column_major, layout_type::row_major>;
BENCHMARK_CAPTURE(transpose_assign_rm_rm, 10x20x500, {10, 20, 500});
BENCHMARK_CAPTURE(transpose_assign_cm_cm, 10x20x500, {10, 20, 500});
BENCHMARK_CAPTURE(transpose_assign_rm_cm, 10x20x500, {10, 20, 500});
BENCHMARK_CAPTURE(transpose_assign_cm_rm, 10x20x500, {10, 20, 500});
}
}
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