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// 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_fn bfly4,
benchmark::utils::IsaCheckFunction isa_check = nullptr)
{
if ((isa_check != nullptr) && !isa_check(state)) {
return;
}
const size_t fft_size = state.range(0);
const size_t batch = state.range(1);
const size_t samples = state.range(2);
const size_t stride = state.range(3);
assert(fft_size == samples * stride * 4); // 4 for bfly4.
std::vector<int16_t, AlignedAllocator<int16_t, 64>> output(fft_size * 2);
std::vector<int16_t, AlignedAllocator<int16_t, 64>> twiddle(fft_size * 3 / 4 * 2);
std::iota(output.begin(), output.end(), 0);
std::iota(twiddle.begin(), twiddle.end(), 0);
for (auto _ : state) {
bfly4(batch, samples * sizeof(int16_t) * 2, output.data(), twiddle.data(), stride * sizeof(int16_t) * 2);
}
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", "batch", "samples", "stride"});
b->Args({256, 1, 1, 64});
b->Args({256, 4, 1, 64});
b->Args({256, 1, 4, 16});
b->Args({256, 4, 4, 16});
b->Args({256, 1, 16, 4});
b->Args({256, 4, 16, 4});
b->Args({256, 1, 64, 1});
}
static void BenchmarkSamples1KernelSize(benchmark::internal::Benchmark* b)
{
b->ArgNames({"fft_size", "batch", "samples", "stride"});
b->Args({256, 1, 1, 64});
b->Args({256, 4, 1, 64});
b->Args({256, 16, 1, 64});
b->Args({256, 64, 1, 64});
}
static void BenchmarkSamples4KernelSize(benchmark::internal::Benchmark* b)
{
b->ArgNames({"fft_size", "batch", "samples", "stride"});
b->Args({256, 1, 4, 16});
b->Args({256, 4, 4, 16});
b->Args({256, 16, 4, 16});
}
#if XNN_ARCH_ARM && XNN_ENABLE_ASSEMBLY
BENCHMARK_CAPTURE(cs16_bfly4, samples1__asm_aarch32_neon_x1, xnn_cs16_bfly4_samples1_ukernel__asm_aarch32_neon_x1)
->Apply(BenchmarkSamples1KernelSize)->UseRealTime();
BENCHMARK_CAPTURE(cs16_bfly4, samples1__asm_aarch32_neon_x2, xnn_cs16_bfly4_samples1_ukernel__asm_aarch32_neon_x2)
->Apply(BenchmarkSamples1KernelSize)->UseRealTime();
BENCHMARK_CAPTURE(cs16_bfly4, samples1__asm_aarch32_neon_x4, xnn_cs16_bfly4_samples1_ukernel__asm_aarch32_neon_x4)
->Apply(BenchmarkSamples1KernelSize)->UseRealTime();
#endif // XNN_ARCH_ARM && XNN_ENABLE_ASSEMBLY
#if XNN_ARCH_ARM || XNN_ARCH_ARM64
BENCHMARK_CAPTURE(cs16_bfly4, samples1__neon, xnn_cs16_bfly4_samples1_ukernel__neon)
->Apply(BenchmarkSamples1KernelSize)->UseRealTime();
BENCHMARK_CAPTURE(cs16_bfly4, samples4__neon, xnn_cs16_bfly4_samples4_ukernel__neon)
->Apply(BenchmarkSamples4KernelSize)->UseRealTime();
BENCHMARK_CAPTURE(cs16_bfly4, neon_x1, xnn_cs16_bfly4_ukernel__neon_x1)
->Apply(BenchmarkKernelSize)->UseRealTime();
BENCHMARK_CAPTURE(cs16_bfly4, neon_x4, xnn_cs16_bfly4_ukernel__neon_x4)
->Apply(BenchmarkKernelSize)->UseRealTime();
#endif // XNN_ARCH_ARM || XNN_ARCH_ARM64
BENCHMARK_CAPTURE(cs16_bfly4, samples1__scalar, xnn_cs16_bfly4_samples1_ukernel__scalar)
->Apply(BenchmarkSamples1KernelSize)->UseRealTime();
BENCHMARK_CAPTURE(cs16_bfly4, samples4__scalar, xnn_cs16_bfly4_samples4_ukernel__scalar)
->Apply(BenchmarkSamples4KernelSize)->UseRealTime();
BENCHMARK_CAPTURE(cs16_bfly4, scalar_x1, xnn_cs16_bfly4_ukernel__scalar_x1)
->Apply(BenchmarkKernelSize)->UseRealTime();
BENCHMARK_CAPTURE(cs16_bfly4, scalar_x2, xnn_cs16_bfly4_ukernel__scalar_x2)
->Apply(BenchmarkKernelSize)->UseRealTime();
BENCHMARK_CAPTURE(cs16_bfly4, scalar_x4, xnn_cs16_bfly4_ukernel__scalar_x4)
->Apply(BenchmarkKernelSize)->UseRealTime();
#ifndef XNNPACK_BENCHMARK_NO_MAIN
BENCHMARK_MAIN();
#endif
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