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// Copyright (c) the JPEG XL Project Authors. All rights reserved.
//
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
#include "benchmark/benchmark.h"
#include "lib/jxl/image_ops.h"
#undef HWY_TARGET_INCLUDE
#define HWY_TARGET_INCLUDE "lib/jxl/tf_gbench.cc"
#include <hwy/foreach_target.h>
#include <hwy/highway.h>
#include "lib/jxl/cms/transfer_functions-inl.h"
HWY_BEFORE_NAMESPACE();
namespace jxl {
namespace HWY_NAMESPACE {
namespace {
#define RUN_BENCHMARK(F) \
constexpr size_t kNum = 1 << 12; \
HWY_FULL(float) d; \
/* Three parallel runs, as this will run on R, G and B. */ \
auto sum1 = Zero(d); \
auto sum2 = Zero(d); \
auto sum3 = Zero(d); \
for (auto _ : state) { \
auto x = Set(d, 1e-5); \
auto v1 = Set(d, 1e-5); \
auto v2 = Set(d, 1.1e-5); \
auto v3 = Set(d, 1.2e-5); \
for (size_t i = 0; i < kNum; i++) { \
sum1 += F(d, v1); \
sum2 += F(d, v2); \
sum3 += F(d, v3); \
v1 += x; \
v2 += x; \
v3 += x; \
} \
} \
/* floats per second */ \
state.SetItemsProcessed(kNum* state.iterations() * Lanes(d) * 3); \
benchmark::DoNotOptimize(sum1 + sum2 + sum3);
#define RUN_BENCHMARK_SCALAR(F, I) \
constexpr size_t kNum = 1 << 12; \
/* Three parallel runs, as this will run on R, G and B. */ \
float sum1 = 0; \
float sum2 = 0; \
float sum3 = 0; \
for (auto _ : state) { \
float x = 1e-5; \
float v1 = 1e-5; \
float v2 = 1.1e-5; \
float v3 = 1.2e-5; \
for (size_t i = 0; i < kNum; i++) { \
sum1 += F(I, v1); \
sum2 += F(I, v2); \
sum3 += F(I, v3); \
v1 += x; \
v2 += x; \
v3 += x; \
} \
} \
/* floats per second */ \
state.SetItemsProcessed(kNum* state.iterations() * 3); \
benchmark::DoNotOptimize(sum1 + sum2 + sum3);
HWY_NOINLINE void BM_FastSRGB(benchmark::State& state) {
RUN_BENCHMARK(FastLinearToSRGB);
}
HWY_NOINLINE void BM_TFSRGB(benchmark::State& state) {
RUN_BENCHMARK(TF_SRGB().EncodedFromDisplay);
}
HWY_NOINLINE void BM_PQDFE(benchmark::State& state) {
TF_PQ tf_pq(10000.0);
RUN_BENCHMARK(tf_pq.DisplayFromEncoded);
}
HWY_NOINLINE void BM_PQEFD(benchmark::State& state) {
TF_PQ tf_pq(10000.0);
RUN_BENCHMARK(tf_pq.EncodedFromDisplay);
}
HWY_NOINLINE void BM_PQSlowDFE(benchmark::State& state) {
RUN_BENCHMARK_SCALAR(TF_PQ_Base::DisplayFromEncoded, 10000.0);
}
HWY_NOINLINE void BM_PQSlowEFD(benchmark::State& state) {
RUN_BENCHMARK_SCALAR(TF_PQ_Base::EncodedFromDisplay, 10000.0);
}
} // namespace
// NOLINTNEXTLINE(google-readability-namespace-comments)
} // namespace HWY_NAMESPACE
} // namespace jxl
HWY_AFTER_NAMESPACE();
#if HWY_ONCE
namespace jxl {
namespace {
HWY_EXPORT(BM_FastSRGB);
HWY_EXPORT(BM_TFSRGB);
HWY_EXPORT(BM_PQDFE);
HWY_EXPORT(BM_PQEFD);
HWY_EXPORT(BM_PQSlowDFE);
HWY_EXPORT(BM_PQSlowEFD);
float SRGB_pow(float _, float x) {
return x < 0.0031308f ? 12.92f * x : 1.055f * powf(x, 1.0f / 2.4f) - 0.055f;
}
void BM_FastSRGB(benchmark::State& state) {
HWY_DYNAMIC_DISPATCH(BM_FastSRGB)(state);
}
void BM_TFSRGB(benchmark::State& state) {
HWY_DYNAMIC_DISPATCH(BM_TFSRGB)(state);
}
void BM_PQDFE(benchmark::State& state) {
HWY_DYNAMIC_DISPATCH(BM_PQDFE)(state);
}
void BM_PQEFD(benchmark::State& state) {
HWY_DYNAMIC_DISPATCH(BM_PQEFD)(state);
}
void BM_PQSlowDFE(benchmark::State& state) {
HWY_DYNAMIC_DISPATCH(BM_PQSlowDFE)(state);
}
void BM_PQSlowEFD(benchmark::State& state) {
HWY_DYNAMIC_DISPATCH(BM_PQSlowEFD)(state);
}
void BM_SRGB_pow(benchmark::State& state) { RUN_BENCHMARK_SCALAR(SRGB_pow, 0); }
BENCHMARK(BM_FastSRGB);
BENCHMARK(BM_TFSRGB);
BENCHMARK(BM_SRGB_pow);
BENCHMARK(BM_PQDFE);
BENCHMARK(BM_PQEFD);
BENCHMARK(BM_PQSlowDFE);
BENCHMARK(BM_PQSlowEFD);
} // namespace
} // namespace jxl
#endif
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