| // Copyright 2022 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 <cmath> |
| #include <functional> |
| #include <numeric> |
| #include <vector> |
| |
| #include "bench/utils.h" |
| #include <benchmark/benchmark.h> |
| |
| #include <xnnpack.h> |
| #include <xnnpack/aligned-allocator.h> |
| #include <xnnpack/common.h> |
| #include <xnnpack/fft.h> |
| #include <xnnpack/microfnptr.h> |
| #include <xnnpack/microparams-init.h> |
| |
| |
| void cs16_bfly4( |
| benchmark::State& state, |
| xnn_cs16_bfly4_ukernel_function bfly4, |
| benchmark::utils::IsaCheckFunction isa_check = nullptr) |
| { |
| if (isa_check && !isa_check(state)) { |
| return; |
| } |
| const size_t fft_size = state.range(0); |
| const size_t samples = state.range(1); |
| const size_t stride = state.range(2); |
| |
| assert(fft_size == samples * stride * 4); // 4 for bfly4. |
| |
| std::vector<int16_t, AlignedAllocator<int16_t, 64>> output( |
| fft_size * 2 + XNN_EXTRA_BYTES / sizeof(int16_t)); |
| std::vector<int16_t, AlignedAllocator<int16_t, 64>> twiddle( |
| fft_size * 2 + XNN_EXTRA_BYTES / sizeof(int16_t)); |
| |
| std::iota(output.begin(), output.end(), 0); |
| std::iota(twiddle.begin(), twiddle.end(), 0); |
| |
| for (auto _ : state) { |
| bfly4(samples, output.data(), stride, twiddle.data()); |
| } |
| |
| const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency(); |
| if (cpu_frequency != 0) { |
| state.counters["cpufreq"] = cpu_frequency; |
| } |
| } |
| |
| static void BenchmarkKernelSize(benchmark::internal::Benchmark* b) |
| { |
| b->ArgNames({"fft_size", "samples", "stride"}); |
| b->Args({256, 64, 1}); |
| b->Args({256, 16, 4}); |
| b->Args({256, 4, 16}); |
| b->Args({256, 1, 64}); |
| b->Args({1024, 256, 1}); |
| b->Args({1024, 64, 4}); |
| b->Args({1024, 16, 16}); |
| b->Args({1024, 4, 64}); |
| b->Args({1024, 1, 256}); |
| } |
| |
| static void BenchmarkSamples1KernelSize(benchmark::internal::Benchmark* b) |
| { |
| b->ArgNames({"fft_size", "samples", "stride"}); |
| b->Args({256, 1, 64}); |
| b->Args({1024, 1, 256}); |
| } |
| |
| #if XNN_ARCH_ARM || XNN_ARCH_ARM64 |
| BENCHMARK_CAPTURE(cs16_bfly4, cs16_neon_m1, xnn_cs16_bfly4_samples1_ukernel__neon)->Apply(BenchmarkSamples1KernelSize)->UseRealTime(); |
| #endif // XNN_ARCH_ARM || XNN_ARCH_ARM64 |
| |
| BENCHMARK_CAPTURE(cs16_bfly4, cs16_scalar_m1, xnn_cs16_bfly4_samples1_ukernel__scalar)->Apply(BenchmarkSamples1KernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_bfly4, cs16_scalar_x1, xnn_cs16_bfly4_ukernel__scalar_x1)->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_bfly4, cs16_scalar_x2, xnn_cs16_bfly4_ukernel__scalar_x2)->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_bfly4, cs16_scalar_x3, xnn_cs16_bfly4_ukernel__scalar_x3)->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_bfly4, cs16_scalar_x4, xnn_cs16_bfly4_ukernel__scalar_x4)->Apply(BenchmarkKernelSize)->UseRealTime(); |
| |
| #ifndef XNNPACK_BENCHMARK_NO_MAIN |
| BENCHMARK_MAIN(); |
| #endif |