blob: 0120aaad6c8d800f3ec1c9a698f88c48e743adb3 [file] [log] [blame]
/*
* Copyright (c) 2017 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "Globals.h"
#include "PMUCounter.h"
#include "PerformanceProgramOptions.h"
#include "PerformanceUserConfiguration.h"
#include "TensorLibrary.h"
#include "Utils.h"
#include "WallClockTimer.h"
#include "benchmark/benchmark_api.h"
#ifdef OPENCL
#include "arm_compute/runtime/CL/CLScheduler.h"
#endif
#include "arm_compute/runtime/Scheduler.h"
#include <iostream>
#include <memory>
using namespace arm_compute::test;
using namespace arm_compute::test::performance;
namespace arm_compute
{
namespace test
{
PerformanceUserConfiguration user_config;
std::unique_ptr<TensorLibrary> library;
} // namespace test
} // namespace arm_compute
int main(int argc, char **argv)
{
PerformanceProgramOptions options;
try
{
options.parse_commandline(argc, argv);
if(options.wants_help())
{
std::cout << "Usage: " << argv[0] << " [options] PATH\n";
std::cout << options.get_help() << "\n";
}
user_config = PerformanceUserConfiguration(options);
}
catch(const boost::program_options::required_option &err)
{
std::cerr << "Error: " << err.what() << "\n";
std::cout << "\nUsage: " << argv[0] << " [options] PATH\n";
std::cout << options.get_help() << "\n";
return 1;
}
::benchmark::Initialize(&argc, argv);
if(user_config.seed.is_set())
{
library = cpp14::make_unique<TensorLibrary>(user_config.path.get(), user_config.seed);
}
else
{
library = cpp14::make_unique<TensorLibrary>(user_config.path.get());
}
#ifdef OPENCL
arm_compute::CLScheduler::get().default_init();
#endif
std::cout << "Using " << user_config.threads << " CPU " << (user_config.threads == 1 ? "thread" : "threads") << "\n";
std::cout << "Seed: " << library->seed();
arm_compute::Scheduler::get().set_num_threads(user_config.threads);
::benchmark::RunSpecifiedBenchmarks();
}