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247 lines
8.8 KiB
247 lines
8.8 KiB
// Copyright 2020 Google LLC
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//
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree.
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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 <memory>
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#include <numeric>
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#include <random>
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#include <vector>
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#include <cpuinfo.h>
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#include <pthreadpool.h>
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#include <benchmark/benchmark.h>
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#include <fp16/fp16.h>
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#include "bench/utils.h"
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#include <xnnpack/AlignedAllocator.h>
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#include <xnnpack/common.h>
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#include <xnnpack/math-stubs.h>
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struct ComputeErrorContext {
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const float* input;
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const float* output;
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float* error;
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};
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static void ComputeError(
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struct ComputeErrorContext* context,
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size_t start,
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size_t range)
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{
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const float* input = context->input;
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const float* output = context->output;
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float* error = context->error;
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for (size_t i = start; i < start + range; i++) {
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const double output_ref = std::expm1(double(input[i]));
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const double abs_error = std::abs(output_ref - double(output[i]));
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const float output_abs = std::abs(output_ref);
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const float output_ulp = fp32_from_bits(fp32_to_bits(output_abs) + 1) - output_abs;
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error[i] = float(abs_error / output_ulp);
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}
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}
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static void ExpM1Error(benchmark::State& state,
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xnn_f32_unary_math_function expm1,
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benchmark::utils::IsaCheckFunction isa_check = nullptr)
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{
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if (!cpuinfo_initialize()) {
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state.SkipWithError("failed cpuinfo init");
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return;
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}
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if (isa_check && !isa_check(state)) {
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return;
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}
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// The smallest x for which expm1f(x) is not saturated at -1 (-0x1.154244p+4f).
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const uint32_t min_input = UINT32_C(0xC18AA122);
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// Number of elements in one block of inputs/outputs.
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// Combining multiple elements in a block reduce function call overhead.
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const size_t block_size = 16384;
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// Number of elements in one parallelization tile. Worker threads process this many elements in each task.
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const size_t tile_size = 64;
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uint32_t num_threads = cpuinfo_get_cores_count();
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#if XNN_ARCH_ARM || XNN_ARCH_ARM64
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// Use all cores except for the least performant cluster
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if (cpuinfo_get_clusters_count() > 1) {
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num_threads -= cpuinfo_get_cluster(cpuinfo_get_clusters_count() - 1)->core_count;
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}
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#endif // XNN_ARCH_ARM || XNN_ARCH_ARM64
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std::unique_ptr<pthreadpool, decltype(&pthreadpool_destroy)> threadpool(
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pthreadpool_create(num_threads), pthreadpool_destroy);
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std::vector<float, AlignedAllocator<float, 64>> x(block_size);
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std::vector<float, AlignedAllocator<float, 64>> y(block_size);
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std::vector<float> ulp_error(block_size);
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float max_ulp_error = 0.0f;
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ComputeErrorContext context;
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context.input = x.data();
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context.output = y.data();
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context.error = ulp_error.data();
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for (auto _ : state) {
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for (uint32_t n = min_input; int32_t(n) < 0; n -= block_size) {
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for (uint32_t i = 0; i < block_size; i++) {
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x[i] = fp32_from_bits(std::max<uint32_t>(n - i, 0x80000000));
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}
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std::fill(y.begin(), y.end(), std::nanf(""));
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expm1(block_size * sizeof(float), x.data(), y.data());
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pthreadpool_parallelize_1d_tile_1d(
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threadpool.get(),
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reinterpret_cast<pthreadpool_task_1d_tile_1d_t>(ComputeError),
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static_cast<void*>(&context),
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block_size, tile_size, 0 /* flags */);
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max_ulp_error = std::accumulate(ulp_error.cbegin(), ulp_error.cend(), max_ulp_error,
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static_cast<const float& (*)(const float&, const float&)>(std::max<float>));
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}
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}
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state.counters["ULPERROR"] = benchmark::Counter(max_ulp_error);
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}
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#if XNN_ARCH_ARM || XNN_ARCH_ARM64
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BENCHMARK_CAPTURE(ExpM1Error, neon_rr2_lut16_p3,
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xnn_math_f32_expm1minus__neon_rr2_lut16_p3,
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benchmark::utils::CheckNEON)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, neon_rr2_p6,
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xnn_math_f32_expm1minus__neon_rr2_p6,
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benchmark::utils::CheckNEON)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, neonfma_rr1_lut16_p3,
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xnn_math_f32_expm1minus__neonfma_rr1_lut16_p3,
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benchmark::utils::CheckNEONFMA)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, neonfma_rr1_p6,
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xnn_math_f32_expm1minus__neonfma_rr1_p6,
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benchmark::utils::CheckNEONFMA)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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#endif // XNN_ARCH_ARM || XNN_ARCH_ARM64
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#if XNN_ARCH_X86 || XNN_ARCH_X86_64
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BENCHMARK_CAPTURE(ExpM1Error, avx512f_rr1_lut16_p3_perm,
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xnn_math_f32_expm1minus__avx512f_rr1_lut16_p3_perm,
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benchmark::utils::CheckAVX512F)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, avx512f_rr1_p6,
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xnn_math_f32_expm1minus__avx512f_rr1_p6,
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benchmark::utils::CheckAVX512F)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, avx2_rr1_lut4_p4_perm,
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xnn_math_f32_expm1minus__avx2_rr1_lut4_p4_perm,
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benchmark::utils::CheckAVX2)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, avx2_rr1_lut8_p4_perm,
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xnn_math_f32_expm1minus__avx2_rr1_lut8_p4_perm,
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benchmark::utils::CheckAVX2)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, avx2_rr1_lut16_p3_gather,
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xnn_math_f32_expm1minus__avx2_rr1_lut16_p3_gather,
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benchmark::utils::CheckAVX2)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, avx2_rr1_p6,
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xnn_math_f32_expm1minus__avx2_rr1_p6,
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benchmark::utils::CheckAVX2)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, avx_rr2_lut4_p4_perm,
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xnn_math_f32_expm1minus__avx_rr2_lut4_p4_perm,
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benchmark::utils::CheckAVX)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, avx_rr2_lut16_p3,
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xnn_math_f32_expm1minus__avx_rr2_lut16_p3,
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benchmark::utils::CheckAVX)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, avx_rr2_p6,
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xnn_math_f32_expm1minus__avx_rr2_p6,
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benchmark::utils::CheckAVX)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, sse2_rr2_lut16_p3,
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xnn_math_f32_expm1minus__sse2_rr2_lut16_p3)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, sse2_rr2_p6,
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xnn_math_f32_expm1minus__sse2_rr2_p6)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
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#if XNN_ARCH_WASMSIMD
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BENCHMARK_CAPTURE(ExpM1Error, wasmsimd_rr2_lut16_p3_andnot,
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xnn_math_f32_expm1minus__wasmsimd_rr2_lut16_p3_andnot)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, wasmsimd_rr2_lut16_p3_max,
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xnn_math_f32_expm1minus__wasmsimd_rr2_lut16_p3_max)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, wasmsimd_rr2_p6_andnot,
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xnn_math_f32_expm1minus__wasmsimd_rr2_p6_andnot)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, wasmsimd_rr2_p6_max,
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xnn_math_f32_expm1minus__wasmsimd_rr2_p6_max)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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#endif // XNN_ARCH_WASMSIMD
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BENCHMARK_CAPTURE(ExpM1Error, scalar_rr2_lut4_p4,
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xnn_math_f32_expm1minus__scalar_rr2_lut4_p4)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, scalar_rr2_lut8_p3,
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xnn_math_f32_expm1minus__scalar_rr2_lut8_p3)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, scalar_rr2_lut8_p4,
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xnn_math_f32_expm1minus__scalar_rr2_lut8_p4)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, scalar_rr2_lut16_p3,
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xnn_math_f32_expm1minus__scalar_rr2_lut16_p3)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, scalar_rr2_lut16_p4,
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xnn_math_f32_expm1minus__scalar_rr2_lut16_p4)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, scalar_rr2_p5,
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xnn_math_f32_expm1minus__scalar_rr2_p5)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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BENCHMARK_CAPTURE(ExpM1Error, scalar_rr2_p6,
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xnn_math_f32_expm1minus__scalar_rr2_p6)
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->Unit(benchmark::kMillisecond)
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->Iterations(1);
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#ifndef XNNPACK_BENCHMARK_NO_MAIN
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BENCHMARK_MAIN();
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#endif
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