mirror of
https://github.com/team-charls/charls
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bb7185254c
By design the benchmark project is not build as it relies on Google Benchmark that is retrieved using vcpkg. Vcpkg is now part of Visual Studio 2022, so building with VS 2022 works. One of the build steps of the CI pipeline build CharLS however with VS 2019 to ensure that VS 2019 still can be used. Enabled benchmark in the solution file for x86 and X64 would break VS 2019. ARM64 build are only support in VS 2022, so enabling that version doesn't break VS 2019.
65 lines
1.9 KiB
C++
65 lines
1.9 KiB
C++
// Copyright (c) Team CharLS.
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// SPDX-License-Identifier: BSD-3-Clause
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#include <benchmark/benchmark.h>
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#include "context_regular_mode_v220.h"
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#pragma warning(disable : 26409) // Avoid calling new explicitly (triggered by BENCHMARK macro)
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#pragma warning(disable : 4746) // volatile access of 'reset_threshold' is subject to /volatile:<iso|ms> setting; (in ARM64 mode)
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using namespace charls;
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regular_mode_context g_context;
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jls_context_v220 g_context_v220;
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volatile int32_t error_value;
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volatile int32_t near_lossless;
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volatile int32_t reset_threshold{64};
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static void bm_regular_mode_update_variables_220(benchmark::State& state)
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{
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g_context_v220 = jls_context_v220();
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for (const auto _ : state)
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{
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g_context_v220.update_variables(error_value, near_lossless, reset_threshold);
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}
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}
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BENCHMARK(bm_regular_mode_update_variables_220);
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static void bm_regular_mode_update_variables(benchmark::State& state)
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{
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g_context = regular_mode_context();
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for (const auto _ : state)
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{
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g_context.update_variables_and_bias(error_value, near_lossless, reset_threshold);
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}
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}
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BENCHMARK(bm_regular_mode_update_variables);
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static void bm_regular_mode_get_golomb_coding_parameter_v220(benchmark::State& state)
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{
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g_context_v220 = jls_context_v220();
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g_context_v220.update_variables(error_value, near_lossless, reset_threshold);
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for (const auto _ : state)
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{
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benchmark::DoNotOptimize(g_context_v220.get_golomb_coding_parameter());
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}
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}
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BENCHMARK(bm_regular_mode_get_golomb_coding_parameter_v220);
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static void bm_regular_mode_get_golomb_coding_parameter(benchmark::State& state)
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{
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g_context = regular_mode_context();
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g_context.update_variables_and_bias(error_value, near_lossless, reset_threshold);
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for (const auto _ : state)
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{
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benchmark::DoNotOptimize(g_context.compute_golomb_coding_parameter());
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}
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}
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BENCHMARK(bm_regular_mode_get_golomb_coding_parameter);
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