p71924506
/
carla
mirror of https://github.com/carla-simulator/carla.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Reduce benchmark speed and acceptance threshold

This commit is contained in:
nsubiron 2018-10-07 16:40:02 +02:00
parent fa19f0296e
commit 0f16fedb4d
1 changed files with 14 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

23
LibCarla/source/test/test_benchmark_streaming.cpp
View File

@ -9,6 +9,8 @@
#include <carla/streaming/Client.h>
#include <carla/streaming/Server.h>
#include <algorithm>
using namespace carla::streaming;
static auto make_special_message(size_t size) {
@ -61,7 +63,7 @@ public:
for (auto &&stream : _streams) {
_threads.CreateThread([=]() mutable {
for (auto i = 0u; i < number_of_messages; ++i) {
std::this_thread::sleep_for(8ms); // ~120FPS.
std::this_thread::sleep_for(11ms); // ~90FPS.
{
CARLA_PROFILE_SCOPE(game, write_to_stream);
stream << _message.buffer();
@ -96,9 +98,6 @@ public:
carla::log_warning("threshold unmet:", _number_of_messages_received, '/', threshold);
}
#endif // NDEBUG
_client.Stop();
_server.Stop();
}
private:
@ -122,11 +121,17 @@ private:
std::atomic_size_t _number_of_messages_received{0u};
};
static size_t get_max_concurrency() {
size_t concurrency = 0.75 * std::thread::hardware_concurrency();
return std::max(2ul, concurrency);
}
static void benchmark_image(
const size_t dimensions,
const size_t number_of_streams = 1u,
const double success_ratio = 1.0) {
constexpr auto number_of_messages = 100u;
carla::logging::log("Benchmark:", number_of_streams, "streams at 90FPS.");
Benchmark benchmark(TESTING_PORT, 4u * dimensions, success_ratio);
benchmark.AddStreams(number_of_streams);
benchmark.Run(number_of_messages);
@ -137,21 +142,21 @@ TEST(benchmark_streaming, image_200x200) {
}
TEST(benchmark_streaming, image_800x600) {
benchmark_image(800u * 600u);
benchmark_image(800u * 600u, 1u, 0.9);
}
TEST(benchmark_streaming, image_1920x1080) {
benchmark_image(1920u * 1080u);
benchmark_image(1920u * 1080u, 1u, 0.9);
}
TEST(benchmark_streaming, image_200x200_mt) {
benchmark_image(200u * 200u, 9u);
benchmark_image(200u * 200u, get_max_concurrency());
}
TEST(benchmark_streaming, image_800x600_mt) {
benchmark_image(800u * 600u, 9u);
benchmark_image(800u * 600u, get_max_concurrency(), 0.8);
}
TEST(benchmark_streaming, image_1920x1080_mt) {
benchmark_image(1920u * 1080u, 9u, 0.7);
benchmark_image(1920u * 1080u, get_max_concurrency(), 0.7);
}