| // Copyright 2019 Google LLC |
| // |
| // This source code is licensed under the BSD-style license found in the |
| // LICENSE file in the root directory of this source tree. |
| |
| #include <algorithm> |
| #include <cfloat> |
| #include <cmath> |
| #include <functional> |
| #include <random> |
| #include <vector> |
| |
| #include <cpuinfo.h> |
| |
| #include <benchmark/benchmark.h> |
| #include "bench/utils.h" |
| #include <xnnpack/AlignedAllocator.h> |
| #include <xnnpack/common.h> |
| #include <xnnpack/math-stubs.h> |
| |
| |
| class Rounding : public benchmark::Fixture { |
| public: |
| inline Rounding() |
| { |
| cpuinfo_initialize(); |
| const size_t l1d_size = cpuinfo_get_l1d_cache(0)->size; |
| const size_t l1d_reserve = 1024; |
| n_ = (l1d_size - l1d_reserve) / (2 * sizeof(float)); |
| n_ = n_ / 16 * 16; |
| } |
| |
| virtual void SetUp(const benchmark::State&) override |
| { |
| std::random_device random_device; |
| auto rng = std::mt19937(random_device()); |
| auto f32rng = std::bind(std::uniform_real_distribution<float>(-10.0f, 10.0f), std::ref(rng)); |
| |
| input_.resize(n()); |
| std::generate(input_.begin(), input_.end(), std::ref(f32rng)); |
| output_.resize(n()); |
| std::fill(output_.begin(), output_.end(), 0xA5); |
| } |
| |
| virtual void TearDown(benchmark::State& state) override |
| { |
| state.SetItemsProcessed(uint64_t(state.iterations()) * n()); |
| state.SetBytesProcessed(uint64_t(state.iterations()) * n() * 2 * sizeof(float)); |
| input_.clear(); |
| output_.clear(); |
| } |
| |
| inline const float* input() const |
| { |
| return input_.data(); |
| } |
| |
| inline float* output() |
| { |
| return output_.data(); |
| } |
| |
| inline size_t n() const |
| { |
| return n_; |
| } |
| |
| protected: |
| std::vector<float, AlignedAllocator<float, 32>> input_; |
| std::vector<float, AlignedAllocator<float, 32>> output_; |
| size_t n_; |
| }; |
| |
| class RoundingToNearestEven : public Rounding { }; |
| class RoundingDown : public Rounding { }; |
| class RoundingUp : public Rounding { }; |
| class RoundingTowardsZero : public Rounding { }; |
| |
| BENCHMARK_F(RoundingToNearestEven, scalar_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundne__scalar_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingToNearestEven, scalar_nearbyint)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundne__scalar_nearbyint( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingToNearestEven, scalar_rint)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundne__scalar_rint( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingDown, scalar_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundd__scalar_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingDown, scalar_cvt)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundd__scalar_cvt( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingDown, scalar_floor)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundd__scalar_floor( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingUp, scalar_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundu__scalar_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingUp, scalar_cvt)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundu__scalar_cvt( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingUp, scalar_ceil)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundu__scalar_ceil( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingTowardsZero, scalar_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundz__scalar_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingTowardsZero, scalar_cvt)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundz__scalar_cvt( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingTowardsZero, scalar_trunc)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundz__scalar_trunc( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| #if XNN_ARCH_WASMSIMD |
| BENCHMARK_F(RoundingToNearestEven, wasmsimd_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundne__wasmsimd_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingDown, wasmsimd_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundd__wasmsimd_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingUp, wasmsimd_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundu__wasmsimd_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingTowardsZero, wasmsimd_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundz__wasmsimd_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| #endif // XNN_ARCH_WASMSIMD |
| |
| #if XNN_ARCH_ARM || XNN_ARCH_ARM64 |
| BENCHMARK_F(RoundingToNearestEven, neon_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundne__neon_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingToNearestEven, neonv8)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundne__neonv8( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingDown, neon_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundd__neon_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingDown, neon_cvt)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundd__neon_cvt( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingDown, neonv8)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundd__neonv8( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingUp, neon_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundu__neon_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingUp, neon_cvt)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundu__neon_cvt( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingUp, neonv8)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundu__neonv8( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingTowardsZero, neon_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundz__neon_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingTowardsZero, neon_cvt)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundz__neon_cvt( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingTowardsZero, neonv8)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundz__neonv8( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| #endif // XNN_ARCH_ARM || XNN_ARCH_ARM64 |
| |
| #if XNN_ARCH_X86 || XNN_ARCH_X86_64 |
| BENCHMARK_F(RoundingToNearestEven, sse_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundne__sse_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingToNearestEven, sse2_cvt)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundne__sse2_cvt( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingToNearestEven, sse4)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundne__sse41( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingDown, sse_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundd__sse_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingDown, sse2_cvt)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundd__sse2_cvt( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingDown, sse4)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundd__sse41( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingUp, sse_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundu__sse_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingUp, sse2_cvt)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundu__sse2_cvt( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingUp, sse4)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundu__sse41( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingTowardsZero, sse_addsub)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundz__sse_addsub( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingTowardsZero, sse2_cvt)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundz__sse2_cvt( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| |
| BENCHMARK_F(RoundingTowardsZero, sse4)(benchmark::State& state) { |
| for (auto _ : state) { |
| xnn_math_f32_roundz__sse41( |
| n() * sizeof(float), input(), output()); |
| } |
| } |
| #endif // XNN_ARCH_X86 || XNN_ARCH_X86_64 |
| |
| |
| #ifndef XNNPACK_BENCHMARK_NO_MAIN |
| BENCHMARK_MAIN(); |
| #endif |