| // 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_fftr( |
| benchmark::State& state, |
| xnn_cs16_fftr_ukernel_function fftr, |
| benchmark::utils::IsaCheckFunction isa_check = nullptr) |
| { |
| if (isa_check && !isa_check(state)) { |
| return; |
| } |
| const size_t samples = state.range(0); |
| |
| assert(samples % 2 == 0); |
| const size_t sample_size = samples * 2 + 2; |
| |
| std::vector<int16_t, AlignedAllocator<int16_t, 64>> data(sample_size + XNN_EXTRA_BYTES / sizeof(int16_t)); |
| std::vector<int16_t, AlignedAllocator<int16_t, 64>> twiddle(samples); |
| |
| std::iota(data.begin(), data.end(), 0); |
| std::iota(twiddle.begin(), twiddle.end(), 2); |
| |
| for (auto _ : state) { |
| fftr(samples, data.data(), 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({"samples"}); |
| b->Args({256}); |
| b->Args({1024}); |
| } |
| |
| BENCHMARK_CAPTURE(cs16_fftr, cs16_scalar_x1, xnn_cs16_fftr_ukernel__scalar_x1)->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_fftr, cs16_scalar_x2, xnn_cs16_fftr_ukernel__scalar_x2)->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_fftr, cs16_scalar_x3, xnn_cs16_fftr_ukernel__scalar_x3)->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_fftr, cs16_scalar_x4, xnn_cs16_fftr_ukernel__scalar_x4)->Apply(BenchmarkKernelSize)->UseRealTime(); |
| |
| #ifndef XNNPACK_BENCHMARK_NO_MAIN |
| BENCHMARK_MAIN(); |
| #endif |