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#include <algorithm> |
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#include <cfloat> |
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#include <cmath> |
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#include <functional> |
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#include <random> |
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#include <vector> |
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#include <benchmark/benchmark.h> |
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#include <fp16/fp16.h> |
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#include "bench/gemm.h" |
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#include "bench/utils.h" |
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#include <xnnpack.h> |
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#include <xnnpack/aligned-allocator.h> |
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#include <xnnpack/common.h> |
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#include <xnnpack/gemm.h> |
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#include <xnnpack/math.h> |
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#include <xnnpack/pack.h> |
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#include <xnnpack/microfnptr.h> |
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#include <xnnpack/microparams-init.h> |
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static void f16_gemm(benchmark::State& state, |
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xnn_f16_gemm_minmax_ukernel_fn gemm, |
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size_t mr, size_t nr, size_t kr, size_t sr, |
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xnn_init_f16_minmax_params_fn init_params, |
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benchmark::utils::IsaCheckFunction isa_check = nullptr) |
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{ |
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if (isa_check != nullptr && !isa_check(state)) { |
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return; |
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} |
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const size_t mc = state.range(0); |
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const size_t nc = state.range(1); |
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const size_t kc = state.range(2); |
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const size_t nc_stride = benchmark::utils::RoundUp(nc, nr); |
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const size_t kc_stride = benchmark::utils::RoundUp(kc, kr * sr); |
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std::random_device random_device; |
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auto rng = std::mt19937(random_device()); |
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auto f32rng = std::bind(std::uniform_real_distribution<float>(), std::ref(rng)); |
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auto f16rng = std::bind(fp16_ieee_from_fp32_value, f32rng); |
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std::vector<uint16_t> a(mc * kc + XNN_EXTRA_BYTES / sizeof(uint16_t)); |
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std::generate(a.begin(), a.end(), std::ref(f16rng)); |
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std::vector<uint16_t> k(nc * kc); |
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std::generate(k.begin(), k.end(), std::ref(f16rng)); |
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std::vector<uint16_t> b(nc); |
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std::generate(b.begin(), b.end(), std::ref(f16rng)); |
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const size_t w_elements = nc_stride * kc_stride + nc_stride; |
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const size_t c_elements = mc * nc; |
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const size_t num_buffers = 1 + |
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benchmark::utils::DivideRoundUp<size_t>(benchmark::utils::GetMaxCacheSize(), |
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sizeof(uint16_t) * (w_elements + c_elements)); |
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std::vector<uint16_t, AlignedAllocator<uint16_t, 64>> w(w_elements * num_buffers); |
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std::fill(w.begin(), w.end(), 0); |
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xnn_pack_f16_gemm_goi_w(1 , nc, kc, nr, kr, sr, k.data(), b.data(), w.data(), 0, nullptr); |
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std::vector<uint16_t> c(c_elements * num_buffers); |
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std::fill(c.begin(), c.end(), UINT16_C(0x7E00) ); |
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xnn_f16_minmax_params params; |
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init_params(¶ms, |
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UINT16_C(0xFC00) , UINT16_C(0x7C00) ); |
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size_t buffer_index = 0; |
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for (auto _ : state) { |
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state.PauseTiming(); |
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benchmark::utils::PrefetchToL1(a.data(), a.size() * sizeof(uint16_t)); |
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buffer_index = (buffer_index + 1) % num_buffers; |
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state.ResumeTiming(); |
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for (uint32_t m = 0; m < mc; m += mr) { |
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const uint32_t mb = min(mc - m, mr); |
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for (uint32_t n = 0; n < nc; n += nr) { |
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const uint32_t nb = min(nc - n, nr); |
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gemm( |
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mb, nb, kc * sizeof(uint16_t), |
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a.data() + m * kc, kc * sizeof(uint16_t), |
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w.data() + (nc_stride * buffer_index + n) * (kc_stride + 1), |
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c.data() + (mc * buffer_index + m) * nc + n, nc * sizeof(uint16_t), nr * sizeof(uint16_t), |
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¶ms); |
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} |
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} |
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} |
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const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency(); |
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if (cpu_frequency != 0) { |
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state.counters["cpufreq"] = cpu_frequency; |
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} |
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state.counters["FLOPS"] = benchmark::Counter( |
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uint64_t(state.iterations()) * 2 * mc * nc * kc, benchmark::Counter::kIsRate); |
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} |
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#if XNN_ARCH_X86 || XNN_ARCH_X86_64 |
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static void f16_f32acc_gemm_1x8__avx2_broadcast(benchmark::State& state, const char* net) { |
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f16_gemm(state, xnn_f16_f32acc_gemm_minmax_ukernel_1x8__avx2_broadcast, 1, 8, 1, 1, |
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xnn_init_f16_minmax_avx_params, benchmark::utils::CheckAVX2); |
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} |
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static void f16_f32acc_gemm_4x8__avx2_broadcast(benchmark::State& state, const char* net) { |
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f16_gemm(state, xnn_f16_f32acc_gemm_minmax_ukernel_4x8__avx2_broadcast, 4, 8, 1, 1, |
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xnn_init_f16_minmax_avx_params, benchmark::utils::CheckAVX2); |
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} |
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static void f16_f32acc_gemm_5x8__avx2_broadcast(benchmark::State& state, const char* net) { |
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f16_gemm(state, xnn_f16_f32acc_gemm_minmax_ukernel_5x8__avx2_broadcast, 5, 8, 1, 1, |
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xnn_init_f16_minmax_avx_params, benchmark::utils::CheckAVX2); |
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} |
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static void f16_f32acc_gemm_6x8__avx2_broadcast(benchmark::State& state, const char* net) { |
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f16_gemm(state, xnn_f16_f32acc_gemm_minmax_ukernel_6x8__avx2_broadcast, 6, 8, 1, 1, |
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xnn_init_f16_minmax_avx_params, benchmark::utils::CheckAVX2); |
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} |
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static void f16_f32acc_gemm_7x8__avx2_broadcast(benchmark::State& state, const char* net) { |
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f16_gemm(state, xnn_f16_f32acc_gemm_minmax_ukernel_7x8__avx2_broadcast, 7, 8, 1, 1, |
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xnn_init_f16_minmax_avx_params, benchmark::utils::CheckAVX2); |
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} |
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static void f16_f32acc_gemm_1x16__avx2_broadcast(benchmark::State& state, const char* net) { |
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f16_gemm(state, xnn_f16_f32acc_gemm_minmax_ukernel_1x16__avx2_broadcast, 1, 16, 1, 1, |
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xnn_init_f16_minmax_avx_params, benchmark::utils::CheckAVX2); |
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} |
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static void f16_f32acc_gemm_3x16__avx2_broadcast(benchmark::State& state, const char* net) { |
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f16_gemm(state, xnn_f16_f32acc_gemm_minmax_ukernel_3x16__avx2_broadcast, 3, 16, 1, 1, |
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xnn_init_f16_minmax_avx_params, benchmark::utils::CheckAVX2); |
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} |
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static void f16_f32acc_gemm_4x16__avx2_broadcast(benchmark::State& state, const char* net) { |
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f16_gemm(state, xnn_f16_f32acc_gemm_minmax_ukernel_4x16__avx2_broadcast, 4, 16, 1, 1, |
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xnn_init_f16_minmax_avx_params, benchmark::utils::CheckAVX2); |
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} |
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static void f16_f32acc_gemm_5x16__avx2_broadcast(benchmark::State& state, const char* net) { |
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f16_gemm(state, xnn_f16_f32acc_gemm_minmax_ukernel_5x16__avx2_broadcast, 5, 16, 1, 1, |
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xnn_init_f16_minmax_avx_params, benchmark::utils::CheckAVX2); |
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} |
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BENCHMARK_GEMM(f16_f32acc_gemm_1x8__avx2_broadcast) |
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BENCHMARK_GEMM(f16_f32acc_gemm_4x8__avx2_broadcast) |
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BENCHMARK_GEMM(f16_f32acc_gemm_5x8__avx2_broadcast) |
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BENCHMARK_GEMM(f16_f32acc_gemm_6x8__avx2_broadcast) |
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BENCHMARK_GEMM(f16_f32acc_gemm_7x8__avx2_broadcast) |
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BENCHMARK_GEMM(f16_f32acc_gemm_1x16__avx2_broadcast) |
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BENCHMARK_GEMM(f16_f32acc_gemm_3x16__avx2_broadcast) |
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BENCHMARK_GEMM(f16_f32acc_gemm_4x16__avx2_broadcast) |
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BENCHMARK_GEMM(f16_f32acc_gemm_5x16__avx2_broadcast) |
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#endif |
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#ifndef XNNPACK_BENCHMARK_NO_MAIN |
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BENCHMARK_MAIN(); |
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#endif |
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