| // 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/microfnptr.h> |
| #include <xnnpack/microparams-init.h> |
| #include <xnnpack/vsquareabs.h> |
| |
| |
| void cs16_vsquareabs( |
| benchmark::State& state, |
| xnn_cs16_vsquareabs_ukernel_function vsquareabs, |
| benchmark::utils::IsaCheckFunction isa_check = nullptr) |
| { |
| if (isa_check && !isa_check(state)) { |
| return; |
| } |
| const size_t batch_size = state.range(0); |
| |
| std::vector<int16_t, AlignedAllocator<int16_t, 64>> input( |
| batch_size * 2 + XNN_EXTRA_BYTES / sizeof(int16_t)); |
| std::vector<uint32_t, AlignedAllocator<uint32_t, 64>> output(batch_size); |
| std::iota(input.begin(), input.end(), 0); |
| std::iota(output.begin(), output.end(), 0); |
| |
| for (auto _ : state) { |
| vsquareabs(batch_size, input.data(), output.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({"batch_size"}); |
| b->Args({32}); |
| b->Args({64}); |
| b->Args({117}); |
| b->Args({400}); |
| b->Args({1000}); |
| b->Args({10000}); |
| } |
| |
| #if XNN_ARCH_ARM || XNN_ARCH_ARM64 |
| BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_neon_x4, xnn_cs16_vsquareabs_ukernel__neon_mlal_ld128_x4, benchmark::utils::CheckNEON) |
| ->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_neon_x8, xnn_cs16_vsquareabs_ukernel__neon_mlal_ld128_x8, benchmark::utils::CheckNEON) |
| ->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_neon_x12, xnn_cs16_vsquareabs_ukernel__neon_mlal_ld128_x12, benchmark::utils::CheckNEON) |
| ->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_neon_x16, xnn_cs16_vsquareabs_ukernel__neon_mlal_ld128_x16, benchmark::utils::CheckNEON) |
| ->Apply(BenchmarkKernelSize)->UseRealTime(); |
| #endif // XNN_ARCH_ARM || XNN_ARCH_ARM64 |
| |
| BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_scalar_x1, xnn_cs16_vsquareabs_ukernel__scalar_x1) |
| ->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_scalar_x2, xnn_cs16_vsquareabs_ukernel__scalar_x2) |
| ->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_scalar_x3, xnn_cs16_vsquareabs_ukernel__scalar_x3) |
| ->Apply(BenchmarkKernelSize)->UseRealTime(); |
| BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_scalar_x4, xnn_cs16_vsquareabs_ukernel__scalar_x4) |
| ->Apply(BenchmarkKernelSize)->UseRealTime(); |
| |
| #ifndef XNNPACK_BENCHMARK_NO_MAIN |
| BENCHMARK_MAIN(); |
| #endif |