xref: /aosp_15_r20/external/XNNPACK/bench/cs16-vsquareabs.cc (revision 4bdc94577ba0e567308109d787f7fec7b531ce36)
1 // Copyright 2022 Google LLC
2 //
3 // This source code is licensed under the BSD-style license found in the
4 // LICENSE file in the root directory of this source tree.
5 
6 #include <algorithm>
7 #include <cmath>
8 #include <functional>
9 #include <numeric>
10 #include <vector>
11 
12 #include "bench/utils.h"
13 #include <benchmark/benchmark.h>
14 
15 #include <xnnpack.h>
16 #include <xnnpack/aligned-allocator.h>
17 #include <xnnpack/common.h>
18 #include <xnnpack/microfnptr.h>
19 #include <xnnpack/microparams-init.h>
20 #include <xnnpack/vsquareabs.h>
21 
22 
cs16_vsquareabs(benchmark::State & state,xnn_cs16_vsquareabs_ukernel_function vsquareabs,benchmark::utils::IsaCheckFunction isa_check=nullptr)23 void cs16_vsquareabs(
24     benchmark::State& state,
25     xnn_cs16_vsquareabs_ukernel_function vsquareabs,
26     benchmark::utils::IsaCheckFunction isa_check = nullptr)
27 {
28   if (isa_check && !isa_check(state)) {
29     return;
30   }
31   const size_t batch_size = state.range(0);
32 
33   std::vector<int16_t, AlignedAllocator<int16_t, 64>> input(
34       batch_size * 2 + XNN_EXTRA_BYTES / sizeof(int16_t));
35   std::vector<uint32_t, AlignedAllocator<uint32_t, 64>> output(batch_size);
36   std::iota(input.begin(), input.end(), 0);
37   std::iota(output.begin(), output.end(), 0);
38 
39   for (auto _ : state) {
40     vsquareabs(batch_size, input.data(), output.data());
41   }
42 
43   const uint64_t cpu_frequency = benchmark::utils::GetCurrentCpuFrequency();
44   if (cpu_frequency != 0) {
45     state.counters["cpufreq"] = cpu_frequency;
46   }
47 }
48 
BenchmarkKernelSize(benchmark::internal::Benchmark * b)49 static void BenchmarkKernelSize(benchmark::internal::Benchmark* b)
50 {
51   b->ArgNames({"batch_size"});
52   b->Args({32});
53   b->Args({64});
54   b->Args({117});
55   b->Args({400});
56   b->Args({1000});
57   b->Args({10000});
58 }
59 
60 #if XNN_ARCH_ARM || XNN_ARCH_ARM64
61 BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_neon_x4, xnn_cs16_vsquareabs_ukernel__neon_mlal_ld128_x4, benchmark::utils::CheckNEON)
62     ->Apply(BenchmarkKernelSize)->UseRealTime();
63 BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_neon_x8, xnn_cs16_vsquareabs_ukernel__neon_mlal_ld128_x8, benchmark::utils::CheckNEON)
64     ->Apply(BenchmarkKernelSize)->UseRealTime();
65 BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_neon_x12, xnn_cs16_vsquareabs_ukernel__neon_mlal_ld128_x12, benchmark::utils::CheckNEON)
66     ->Apply(BenchmarkKernelSize)->UseRealTime();
67 BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_neon_x16, xnn_cs16_vsquareabs_ukernel__neon_mlal_ld128_x16, benchmark::utils::CheckNEON)
68     ->Apply(BenchmarkKernelSize)->UseRealTime();
69 #endif  // XNN_ARCH_ARM || XNN_ARCH_ARM64
70 
71 BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_scalar_x1, xnn_cs16_vsquareabs_ukernel__scalar_x1)
72     ->Apply(BenchmarkKernelSize)->UseRealTime();
73 BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_scalar_x2, xnn_cs16_vsquareabs_ukernel__scalar_x2)
74     ->Apply(BenchmarkKernelSize)->UseRealTime();
75 BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_scalar_x3, xnn_cs16_vsquareabs_ukernel__scalar_x3)
76     ->Apply(BenchmarkKernelSize)->UseRealTime();
77 BENCHMARK_CAPTURE(cs16_vsquareabs, cs16_scalar_x4, xnn_cs16_vsquareabs_ukernel__scalar_x4)
78     ->Apply(BenchmarkKernelSize)->UseRealTime();
79 
80 #ifndef XNNPACK_BENCHMARK_NO_MAIN
81 BENCHMARK_MAIN();
82 #endif
83