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Statistics: add support for percentage unit in addition to time (#1219)
* Statistics: add support for percentage unit in addition to time I think, `stddev` statistic is useful, but confusing. What does it mean if `stddev` of `1ms` is reported? Is that good or bad? If the `median` is `1s`, then that means that the measurements are pretty noise-less. And what about `stddev` of `100ms` is reported? If the `median` is `1s` - awful, if the `median` is `10s` - good. And hurray, there is just the statistic that we need: https://en.wikipedia.org/wiki/Coefficient_of_variation But, naturally, that produces a value in percents, but the statistics are currently hardcoded to produce time. So this refactors thinkgs a bit, and allows a percentage unit for statistics. I'm not sure whether or not `benchmark` would be okay with adding this `RSD` statistic by default, but regales, that is a separate patch. Refs. https://github.com/google/benchmark/issues/1146 * Address review notes
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@ -140,8 +140,8 @@ Write benchmark results to a file with the `--benchmark_out=<filename>` option
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(or set `BENCHMARK_OUT`). Specify the output format with
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`--benchmark_out_format={json|console|csv}` (or set
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`BENCHMARK_OUT_FORMAT={json|console|csv}`). Note that the 'csv' reporter is
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deprecated and the saved `.csv` file
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[is not parsable](https://github.com/google/benchmark/issues/794) by csv
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deprecated and the saved `.csv` file
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[is not parsable](https://github.com/google/benchmark/issues/794) by csv
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parsers.
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Specifying `--benchmark_out` does not suppress the console output.
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@ -983,6 +983,25 @@ BENCHMARK(BM_spin_empty)
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->Arg(512);
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```
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While usually the statistics produce values in time units,
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you can also produce percentages:
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```c++
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void BM_spin_empty(benchmark::State& state) {
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for (auto _ : state) {
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for (int x = 0; x < state.range(0); ++x) {
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benchmark::DoNotOptimize(x);
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}
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}
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}
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BENCHMARK(BM_spin_empty)
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->ComputeStatistics("ratio", [](const std::vector<double>& v) -> double {
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return std::begin(v) / std::end(v);
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}, benchmark::StatisticUnit::Percentage)
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->Arg(512);
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```
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<a name="using-register-benchmark" />
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## Using RegisterBenchmark(name, fn, args...)
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@ -450,6 +450,8 @@ enum BigO { oNone, o1, oN, oNSquared, oNCubed, oLogN, oNLogN, oAuto, oLambda };
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typedef uint64_t IterationCount;
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enum StatisticUnit { kTime, kPercentage };
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// BigOFunc is passed to a benchmark in order to specify the asymptotic
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// computational complexity for the benchmark.
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typedef double(BigOFunc)(IterationCount);
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@ -462,9 +464,11 @@ namespace internal {
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struct Statistics {
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std::string name_;
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StatisticsFunc* compute_;
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StatisticUnit unit_;
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Statistics(const std::string& name, StatisticsFunc* compute)
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: name_(name), compute_(compute) {}
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Statistics(const std::string& name, StatisticsFunc* compute,
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StatisticUnit unit = kTime)
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: name_(name), compute_(compute), unit_(unit) {}
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};
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class BenchmarkInstance;
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@ -965,7 +969,8 @@ class Benchmark {
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Benchmark* Complexity(BigOFunc* complexity);
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// Add this statistics to be computed over all the values of benchmark run
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Benchmark* ComputeStatistics(std::string name, StatisticsFunc* statistics);
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Benchmark* ComputeStatistics(std::string name, StatisticsFunc* statistics,
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StatisticUnit unit = kTime);
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// Support for running multiple copies of the same benchmark concurrently
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// in multiple threads. This may be useful when measuring the scaling
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@ -1421,6 +1426,7 @@ class BenchmarkReporter {
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Run()
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: run_type(RT_Iteration),
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aggregate_unit(kTime),
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error_occurred(false),
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iterations(1),
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threads(1),
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@ -1444,6 +1450,7 @@ class BenchmarkReporter {
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int64_t per_family_instance_index;
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RunType run_type;
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std::string aggregate_name;
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StatisticUnit aggregate_unit;
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std::string report_label; // Empty if not set by benchmark.
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bool error_occurred;
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std::string error_message;
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@ -399,8 +399,9 @@ Benchmark* Benchmark::Complexity(BigOFunc* complexity) {
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}
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Benchmark* Benchmark::ComputeStatistics(std::string name,
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StatisticsFunc* statistics) {
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statistics_.emplace_back(name, statistics);
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StatisticsFunc* statistics,
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StatisticUnit unit) {
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statistics_.emplace_back(name, statistics, unit);
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return this;
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}
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@ -199,6 +199,7 @@ std::vector<BenchmarkReporter::Run> ComputeBigO(
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big_o.repetition_index = Run::no_repetition_index;
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big_o.threads = reports[0].threads;
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big_o.aggregate_name = "BigO";
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big_o.aggregate_unit = StatisticUnit::kTime;
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big_o.report_label = reports[0].report_label;
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big_o.iterations = 0;
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big_o.real_accumulated_time = result_real.coef;
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@ -220,6 +221,7 @@ std::vector<BenchmarkReporter::Run> ComputeBigO(
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rms.per_family_instance_index = reports[0].per_family_instance_index;
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rms.run_type = BenchmarkReporter::Run::RT_Aggregate;
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rms.aggregate_name = "RMS";
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rms.aggregate_unit = StatisticUnit::kPercentage;
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rms.report_label = big_o.report_label;
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rms.iterations = 0;
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rms.repetition_index = Run::no_repetition_index;
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@ -142,10 +142,16 @@ void ConsoleReporter::PrintRunData(const Run& result) {
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} else if (result.report_rms) {
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printer(Out, COLOR_YELLOW, "%10.0f %-4s %10.0f %-4s ", real_time * 100, "%",
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cpu_time * 100, "%");
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} else {
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} else if (result.run_type != Run::RT_Aggregate ||
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result.aggregate_unit == StatisticUnit::kTime) {
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const char* timeLabel = GetTimeUnitString(result.time_unit);
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printer(Out, COLOR_YELLOW, "%s %-4s %s %-4s ", real_time_str.c_str(), timeLabel,
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cpu_time_str.c_str(), timeLabel);
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} else {
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assert(result.aggregate_unit == StatisticUnit::kPercentage);
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printer(Out, COLOR_YELLOW, "%10.2f %-4s %10.2f %-4s ",
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(100. * result.real_accumulated_time), "%",
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(100. * result.cpu_accumulated_time), "%");
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}
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if (!result.report_big_o && !result.report_rms) {
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@ -251,6 +251,15 @@ void JSONReporter::PrintRunData(Run const& run) {
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out << indent << FormatKV("threads", run.threads) << ",\n";
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if (run.run_type == BenchmarkReporter::Run::RT_Aggregate) {
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out << indent << FormatKV("aggregate_name", run.aggregate_name) << ",\n";
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out << indent << FormatKV("aggregate_unit", [&run]() -> const char* {
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switch (run.aggregate_unit) {
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case StatisticUnit::kTime:
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return "time";
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case StatisticUnit::kPercentage:
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return "percentage";
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}
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BENCHMARK_UNREACHABLE();
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}()) << ",\n";
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}
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if (run.error_occurred) {
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out << indent << FormatKV("error_occurred", run.error_occurred) << ",\n";
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@ -258,8 +267,17 @@ void JSONReporter::PrintRunData(Run const& run) {
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}
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if (!run.report_big_o && !run.report_rms) {
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out << indent << FormatKV("iterations", run.iterations) << ",\n";
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out << indent << FormatKV("real_time", run.GetAdjustedRealTime()) << ",\n";
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out << indent << FormatKV("cpu_time", run.GetAdjustedCPUTime());
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if (run.run_type != Run::RT_Aggregate ||
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run.aggregate_unit == StatisticUnit::kTime) {
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out << indent << FormatKV("real_time", run.GetAdjustedRealTime())
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<< ",\n";
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out << indent << FormatKV("cpu_time", run.GetAdjustedCPUTime());
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} else {
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assert(run.aggregate_unit == StatisticUnit::kPercentage);
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out << indent << FormatKV("real_time", run.real_accumulated_time)
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<< ",\n";
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out << indent << FormatKV("cpu_time", run.cpu_accumulated_time);
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}
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out << ",\n"
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<< indent << FormatKV("time_unit", GetTimeUnitString(run.time_unit));
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} else if (run.report_big_o) {
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@ -155,6 +155,7 @@ std::vector<BenchmarkReporter::Run> ComputeStats(
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data.repetitions = reports[0].repetitions;
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data.repetition_index = Run::no_repetition_index;
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data.aggregate_name = Stat.name_;
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data.aggregate_unit = Stat.unit_;
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data.report_label = report_label;
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// It is incorrect to say that an aggregate is computed over
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@ -167,13 +168,15 @@ std::vector<BenchmarkReporter::Run> ComputeStats(
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data.real_accumulated_time = Stat.compute_(real_accumulated_time_stat);
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data.cpu_accumulated_time = Stat.compute_(cpu_accumulated_time_stat);
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// We will divide these times by data.iterations when reporting, but the
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// data.iterations is not nessesairly the scale of these measurements,
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// because in each repetition, these timers are sum over all the iterations.
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// And if we want to say that the stats are over N repetitions and not
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// M iterations, we need to multiply these by (N/M).
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data.real_accumulated_time *= iteration_rescale_factor;
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data.cpu_accumulated_time *= iteration_rescale_factor;
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if (data.aggregate_unit == StatisticUnit::kTime) {
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// We will divide these times by data.iterations when reporting, but the
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// data.iterations is not necessarily the scale of these measurements,
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// because in each repetition, these timers are sum over all the iters.
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// And if we want to say that the stats are over N repetitions and not
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// M iterations, we need to multiply these by (N/M).
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data.real_accumulated_time *= iteration_rescale_factor;
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data.cpu_accumulated_time *= iteration_rescale_factor;
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}
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data.time_unit = reports[0].time_unit;
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@ -36,6 +36,7 @@ int AddComplexityTest(std::string test_name, std::string big_o_test_name,
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{"\"repetitions\": %int,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"BigO\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"cpu_coefficient\": %float,$", MR_Next},
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{"\"real_coefficient\": %float,$", MR_Next},
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{"\"big_o\": \"%bigo\",$", MR_Next},
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@ -49,6 +50,7 @@ int AddComplexityTest(std::string test_name, std::string big_o_test_name,
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{"\"repetitions\": %int,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"RMS\",$", MR_Next},
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{"\"aggregate_unit\": \"percentage\",$", MR_Next},
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{"\"rms\": %float$", MR_Next},
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{"}", MR_Next}});
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AddCases(TC_CSVOut, {{"^\"%bigo_name\",,%float,%float,%bigo,,,,,$"},
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@ -59,6 +59,7 @@ ADD_CASES(TC_JSONOut,
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{"\"repetitions\": 2,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"mean\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": %int,$", MR_Next},
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{"\"real_time\": %float,$", MR_Next},
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{"\"cpu_time\": %float,$", MR_Next},
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@ -73,6 +74,7 @@ ADD_CASES(TC_JSONOut,
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{"\"repetitions\": 2,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"median\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": %int,$", MR_Next},
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{"\"real_time\": %float,$", MR_Next},
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{"\"cpu_time\": %float,$", MR_Next},
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@ -87,6 +89,7 @@ ADD_CASES(TC_JSONOut,
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{"\"repetitions\": 2,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"stddev\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": %int,$", MR_Next},
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{"\"real_time\": %float,$", MR_Next},
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{"\"cpu_time\": %float,$", MR_Next},
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@ -164,6 +167,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_ImplicitRepetitions_mean\",$"},
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{"\"repetitions\": 3,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"mean\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": %int,$", MR_Next},
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{"\"real_time\": %float,$", MR_Next},
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{"\"cpu_time\": %float,$", MR_Next},
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@ -177,6 +181,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_ImplicitRepetitions_median\",$"},
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{"\"repetitions\": 3,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"median\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": %int,$", MR_Next},
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{"\"real_time\": %float,$", MR_Next},
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{"\"cpu_time\": %float,$", MR_Next},
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@ -190,6 +195,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_ImplicitRepetitions_stddev\",$"},
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{"\"repetitions\": 3,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"stddev\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": %int,$", MR_Next},
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{"\"real_time\": %float,$", MR_Next},
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{"\"cpu_time\": %float,$", MR_Next},
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@ -1,5 +1,6 @@
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#undef NDEBUG
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#include <numeric>
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#include <utility>
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#include "benchmark/benchmark.h"
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@ -454,6 +455,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_Repeat/repeats:2\",$"},
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{"\"repetitions\": 2,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"mean\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": 2,$", MR_Next},
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{"\"name\": \"BM_Repeat/repeats:2_median\",$"},
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{"\"family_index\": 15,$", MR_Next},
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@ -463,6 +465,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_Repeat/repeats:2\",$"},
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{"\"repetitions\": 2,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"median\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": 2,$", MR_Next},
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{"\"name\": \"BM_Repeat/repeats:2_stddev\",$"},
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{"\"family_index\": 15,$", MR_Next},
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@ -472,6 +475,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_Repeat/repeats:2\",$"},
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{"\"repetitions\": 2,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"stddev\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": 2,$", MR_Next}});
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ADD_CASES(TC_CSVOut, {{"^\"BM_Repeat/repeats:2\",%csv_report$"},
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{"^\"BM_Repeat/repeats:2\",%csv_report$"},
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@ -519,6 +523,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_Repeat/repeats:3\",$"},
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{"\"repetitions\": 3,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"mean\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": 3,$", MR_Next},
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{"\"name\": \"BM_Repeat/repeats:3_median\",$"},
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{"\"family_index\": 16,$", MR_Next},
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@ -528,6 +533,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_Repeat/repeats:3\",$"},
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{"\"repetitions\": 3,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"median\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": 3,$", MR_Next},
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{"\"name\": \"BM_Repeat/repeats:3_stddev\",$"},
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{"\"family_index\": 16,$", MR_Next},
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@ -537,6 +543,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_Repeat/repeats:3\",$"},
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{"\"repetitions\": 3,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"stddev\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": 3,$", MR_Next}});
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ADD_CASES(TC_CSVOut, {{"^\"BM_Repeat/repeats:3\",%csv_report$"},
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{"^\"BM_Repeat/repeats:3\",%csv_report$"},
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@ -594,6 +601,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_Repeat/repeats:4\",$"},
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{"\"repetitions\": 4,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"mean\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": 4,$", MR_Next},
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{"\"name\": \"BM_Repeat/repeats:4_median\",$"},
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{"\"family_index\": 17,$", MR_Next},
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@ -603,6 +611,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_Repeat/repeats:4\",$"},
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{"\"repetitions\": 4,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"median\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": 4,$", MR_Next},
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{"\"name\": \"BM_Repeat/repeats:4_stddev\",$"},
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{"\"family_index\": 17,$", MR_Next},
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@ -612,6 +621,7 @@ ADD_CASES(TC_JSONOut, {{"\"name\": \"BM_Repeat/repeats:4\",$"},
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{"\"repetitions\": 4,$", MR_Next},
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{"\"threads\": 1,$", MR_Next},
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{"\"aggregate_name\": \"stddev\",$", MR_Next},
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{"\"aggregate_unit\": \"time\",$", MR_Next},
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{"\"iterations\": 4,$", MR_Next}});
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ADD_CASES(TC_CSVOut, {{"^\"BM_Repeat/repeats:4\",%csv_report$"},
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{"^\"BM_Repeat/repeats:4\",%csv_report$"},
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@ -661,6 +671,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"mean\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"name\": \"BM_SummaryRepeat/repeats:3_median\",$"},
|
||||
{"\"family_index\": 19,$", MR_Next},
|
||||
@ -670,6 +681,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"median\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"name\": \"BM_SummaryRepeat/repeats:3_stddev\",$"},
|
||||
{"\"family_index\": 19,$", MR_Next},
|
||||
@ -679,6 +691,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"stddev\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next}});
|
||||
ADD_CASES(TC_CSVOut, {{".*BM_SummaryRepeat/repeats:3 ", MR_Not},
|
||||
{"^\"BM_SummaryRepeat/repeats:3_mean\",%csv_report$"},
|
||||
@ -709,6 +722,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 2,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"mean\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 2,$", MR_Next},
|
||||
{"\"name\": \"BM_SummaryDisplay/repeats:2_median\",$"},
|
||||
{"\"family_index\": 20,$", MR_Next},
|
||||
@ -718,6 +732,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 2,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"median\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 2,$", MR_Next},
|
||||
{"\"name\": \"BM_SummaryDisplay/repeats:2_stddev\",$"},
|
||||
{"\"family_index\": 20,$", MR_Next},
|
||||
@ -727,6 +742,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 2,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"stddev\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 2,$", MR_Next}});
|
||||
ADD_CASES(TC_CSVOut,
|
||||
{{".*BM_SummaryDisplay/repeats:2 ", MR_Not},
|
||||
@ -761,6 +777,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"mean\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"time_unit\": \"us\",?$"},
|
||||
{"\"name\": \"BM_RepeatTimeUnit/repeats:3_median\",$"},
|
||||
@ -771,6 +788,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"median\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"time_unit\": \"us\",?$"},
|
||||
{"\"name\": \"BM_RepeatTimeUnit/repeats:3_stddev\",$"},
|
||||
@ -781,6 +799,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"stddev\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"time_unit\": \"us\",?$"}});
|
||||
ADD_CASES(TC_CSVOut,
|
||||
@ -869,6 +888,7 @@ ADD_CASES(
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"mean\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"real_time\": 1\\.5(0)*e\\+(0)*2,$", MR_Next},
|
||||
{"\"name\": \"BM_UserStats/iterations:5/repeats:3/manual_time_median\",$"},
|
||||
@ -880,6 +900,7 @@ ADD_CASES(
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"median\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"real_time\": 1\\.5(0)*e\\+(0)*2,$", MR_Next},
|
||||
{"\"name\": \"BM_UserStats/iterations:5/repeats:3/manual_time_stddev\",$"},
|
||||
@ -891,6 +912,7 @@ ADD_CASES(
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"stddev\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"real_time\": %float,$", MR_Next},
|
||||
{"\"name\": \"BM_UserStats/iterations:5/repeats:3/manual_time_\",$"},
|
||||
@ -902,6 +924,7 @@ ADD_CASES(
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"real_time\": 1\\.5(0)*e\\+(0)*2,$", MR_Next}});
|
||||
ADD_CASES(
|
||||
@ -916,6 +939,154 @@ ADD_CASES(
|
||||
"manual_time_stddev\",%csv_report$"},
|
||||
{"^\"BM_UserStats/iterations:5/repeats:3/manual_time_\",%csv_report$"}});
|
||||
|
||||
// ========================================================================= //
|
||||
// ------------- Testing relative standard deviation statistics ------------ //
|
||||
// ========================================================================= //
|
||||
|
||||
const auto UserPercentStatistics = [](const std::vector<double>& v) {
|
||||
return 1. / 100.;
|
||||
};
|
||||
void BM_UserPercentStats(benchmark::State& state) {
|
||||
for (auto _ : state) {
|
||||
state.SetIterationTime(150 / 10e8);
|
||||
}
|
||||
}
|
||||
// clang-format off
|
||||
BENCHMARK(BM_UserPercentStats)
|
||||
->Repetitions(3)
|
||||
->Iterations(5)
|
||||
->UseManualTime()
|
||||
->Unit(benchmark::TimeUnit::kNanosecond)
|
||||
->ComputeStatistics("", UserPercentStatistics, benchmark::StatisticUnit::kPercentage);
|
||||
// clang-format on
|
||||
|
||||
// check that UserPercent-provided stats is calculated, and is after the
|
||||
// default-ones empty string as name is intentional, it would sort before
|
||||
// anything else
|
||||
ADD_CASES(TC_ConsoleOut,
|
||||
{{"^BM_UserPercentStats/iterations:5/repeats:3/manual_time [ "
|
||||
"]* 150 ns %time [ ]*5$"},
|
||||
{"^BM_UserPercentStats/iterations:5/repeats:3/manual_time [ "
|
||||
"]* 150 ns %time [ ]*5$"},
|
||||
{"^BM_UserPercentStats/iterations:5/repeats:3/manual_time [ "
|
||||
"]* 150 ns %time [ ]*5$"},
|
||||
{"^BM_UserPercentStats/iterations:5/repeats:3/"
|
||||
"manual_time_mean [ ]* 150 ns %time [ ]*3$"},
|
||||
{"^BM_UserPercentStats/iterations:5/repeats:3/"
|
||||
"manual_time_median [ ]* 150 ns %time [ ]*3$"},
|
||||
{"^BM_UserPercentStats/iterations:5/repeats:3/"
|
||||
"manual_time_stddev [ ]* 0.000 ns %time [ ]*3$"},
|
||||
{"^BM_UserPercentStats/iterations:5/repeats:3/manual_time_ "
|
||||
"[ ]* 1.00 % [ ]* 1.00 %[ ]*3$"}});
|
||||
ADD_CASES(
|
||||
TC_JSONOut,
|
||||
{{"\"name\": \"BM_UserPercentStats/iterations:5/repeats:3/manual_time\",$"},
|
||||
{"\"family_index\": 23,$", MR_Next},
|
||||
{"\"per_family_instance_index\": 0,$", MR_Next},
|
||||
{"\"run_name\": "
|
||||
"\"BM_UserPercentStats/iterations:5/repeats:3/manual_time\",$",
|
||||
MR_Next},
|
||||
{"\"run_type\": \"iteration\",$", MR_Next},
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"repetition_index\": 0,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"iterations\": 5,$", MR_Next},
|
||||
{"\"real_time\": 1\\.5(0)*e\\+(0)*2,$", MR_Next},
|
||||
{"\"name\": \"BM_UserPercentStats/iterations:5/repeats:3/manual_time\",$"},
|
||||
{"\"family_index\": 23,$", MR_Next},
|
||||
{"\"per_family_instance_index\": 0,$", MR_Next},
|
||||
{"\"run_name\": "
|
||||
"\"BM_UserPercentStats/iterations:5/repeats:3/manual_time\",$",
|
||||
MR_Next},
|
||||
{"\"run_type\": \"iteration\",$", MR_Next},
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"repetition_index\": 1,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"iterations\": 5,$", MR_Next},
|
||||
{"\"real_time\": 1\\.5(0)*e\\+(0)*2,$", MR_Next},
|
||||
{"\"name\": \"BM_UserPercentStats/iterations:5/repeats:3/manual_time\",$"},
|
||||
{"\"family_index\": 23,$", MR_Next},
|
||||
{"\"per_family_instance_index\": 0,$", MR_Next},
|
||||
{"\"run_name\": "
|
||||
"\"BM_UserPercentStats/iterations:5/repeats:3/manual_time\",$",
|
||||
MR_Next},
|
||||
{"\"run_type\": \"iteration\",$", MR_Next},
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"repetition_index\": 2,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"iterations\": 5,$", MR_Next},
|
||||
{"\"real_time\": 1\\.5(0)*e\\+(0)*2,$", MR_Next},
|
||||
{"\"name\": "
|
||||
"\"BM_UserPercentStats/iterations:5/repeats:3/manual_time_mean\",$"},
|
||||
{"\"family_index\": 23,$", MR_Next},
|
||||
{"\"per_family_instance_index\": 0,$", MR_Next},
|
||||
{"\"run_name\": "
|
||||
"\"BM_UserPercentStats/iterations:5/repeats:3/manual_time\",$",
|
||||
MR_Next},
|
||||
{"\"run_type\": \"aggregate\",$", MR_Next},
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"mean\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"real_time\": 1\\.5(0)*e\\+(0)*2,$", MR_Next},
|
||||
{"\"name\": "
|
||||
"\"BM_UserPercentStats/iterations:5/repeats:3/manual_time_median\",$"},
|
||||
{"\"family_index\": 23,$", MR_Next},
|
||||
{"\"per_family_instance_index\": 0,$", MR_Next},
|
||||
{"\"run_name\": "
|
||||
"\"BM_UserPercentStats/iterations:5/repeats:3/manual_time\",$",
|
||||
MR_Next},
|
||||
{"\"run_type\": \"aggregate\",$", MR_Next},
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"median\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"real_time\": 1\\.5(0)*e\\+(0)*2,$", MR_Next},
|
||||
{"\"name\": "
|
||||
"\"BM_UserPercentStats/iterations:5/repeats:3/manual_time_stddev\",$"},
|
||||
{"\"family_index\": 23,$", MR_Next},
|
||||
{"\"per_family_instance_index\": 0,$", MR_Next},
|
||||
{"\"run_name\": "
|
||||
"\"BM_UserPercentStats/iterations:5/repeats:3/manual_time\",$",
|
||||
MR_Next},
|
||||
{"\"run_type\": \"aggregate\",$", MR_Next},
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"stddev\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"real_time\": %float,$", MR_Next},
|
||||
{"\"name\": "
|
||||
"\"BM_UserPercentStats/iterations:5/repeats:3/manual_time_\",$"},
|
||||
{"\"family_index\": 23,$", MR_Next},
|
||||
{"\"per_family_instance_index\": 0,$", MR_Next},
|
||||
{"\"run_name\": "
|
||||
"\"BM_UserPercentStats/iterations:5/repeats:3/manual_time\",$",
|
||||
MR_Next},
|
||||
{"\"run_type\": \"aggregate\",$", MR_Next},
|
||||
{"\"repetitions\": 3,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"percentage\",$", MR_Next},
|
||||
{"\"iterations\": 3,$", MR_Next},
|
||||
{"\"real_time\": 1\\.(0)*e-(0)*2,$", MR_Next}});
|
||||
ADD_CASES(TC_CSVOut, {{"^\"BM_UserPercentStats/iterations:5/repeats:3/"
|
||||
"manual_time\",%csv_report$"},
|
||||
{"^\"BM_UserPercentStats/iterations:5/repeats:3/"
|
||||
"manual_time\",%csv_report$"},
|
||||
{"^\"BM_UserPercentStats/iterations:5/repeats:3/"
|
||||
"manual_time\",%csv_report$"},
|
||||
{"^\"BM_UserPercentStats/iterations:5/repeats:3/"
|
||||
"manual_time_mean\",%csv_report$"},
|
||||
{"^\"BM_UserPercentStats/iterations:5/repeats:3/"
|
||||
"manual_time_median\",%csv_report$"},
|
||||
{"^\"BM_UserPercentStats/iterations:5/repeats:3/"
|
||||
"manual_time_stddev\",%csv_report$"},
|
||||
{"^\"BM_UserPercentStats/iterations:5/repeats:3/"
|
||||
"manual_time_\",%csv_report$"}});
|
||||
|
||||
// ========================================================================= //
|
||||
// ------------------------- Testing StrEscape JSON ------------------------ //
|
||||
// ========================================================================= //
|
||||
|
@ -125,6 +125,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 2,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"mean\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": %int,$", MR_Next},
|
||||
{"\"real_time\": %float,$", MR_Next},
|
||||
{"\"cpu_time\": %float,$", MR_Next},
|
||||
@ -146,6 +147,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 2,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"median\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": %int,$", MR_Next},
|
||||
{"\"real_time\": %float,$", MR_Next},
|
||||
{"\"cpu_time\": %float,$", MR_Next},
|
||||
@ -167,6 +169,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 2,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"stddev\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": %int,$", MR_Next},
|
||||
{"\"real_time\": %float,$", MR_Next},
|
||||
{"\"cpu_time\": %float,$", MR_Next},
|
||||
@ -231,6 +234,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 2,$", MR_Next},
|
||||
{"\"threads\": 2,$", MR_Next},
|
||||
{"\"aggregate_name\": \"median\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": %int,$", MR_Next},
|
||||
{"\"real_time\": %float,$", MR_Next},
|
||||
{"\"cpu_time\": %float,$", MR_Next},
|
||||
@ -252,6 +256,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 2,$", MR_Next},
|
||||
{"\"threads\": 2,$", MR_Next},
|
||||
{"\"aggregate_name\": \"stddev\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": %int,$", MR_Next},
|
||||
{"\"real_time\": %float,$", MR_Next},
|
||||
{"\"cpu_time\": %float,$", MR_Next},
|
||||
|
@ -96,6 +96,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 2,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"mean\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 2,$", MR_Next},
|
||||
{"\"real_time\": %float,$", MR_Next},
|
||||
{"\"cpu_time\": %float,$", MR_Next},
|
||||
@ -115,6 +116,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 2,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"median\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 2,$", MR_Next},
|
||||
{"\"real_time\": %float,$", MR_Next},
|
||||
{"\"cpu_time\": %float,$", MR_Next},
|
||||
@ -134,6 +136,7 @@ ADD_CASES(TC_JSONOut,
|
||||
{"\"repetitions\": 2,$", MR_Next},
|
||||
{"\"threads\": 1,$", MR_Next},
|
||||
{"\"aggregate_name\": \"stddev\",$", MR_Next},
|
||||
{"\"aggregate_unit\": \"time\",$", MR_Next},
|
||||
{"\"iterations\": 2,$", MR_Next},
|
||||
{"\"real_time\": %float,$", MR_Next},
|
||||
{"\"cpu_time\": %float,$", MR_Next},
|
||||
|
21
tools/gbench/Inputs/test4_run0.json
Normal file
21
tools/gbench/Inputs/test4_run0.json
Normal file
@ -0,0 +1,21 @@
|
||||
{
|
||||
"context": {
|
||||
"date": "2016-08-02 17:44:46",
|
||||
"num_cpus": 4,
|
||||
"mhz_per_cpu": 4228,
|
||||
"cpu_scaling_enabled": false,
|
||||
"library_build_type": "release"
|
||||
},
|
||||
"benchmarks": [
|
||||
{
|
||||
"name": "whocares",
|
||||
"run_type": "aggregate",
|
||||
"aggregate_name": "zz",
|
||||
"aggregate_unit": "percentage",
|
||||
"iterations": 1000,
|
||||
"real_time": 0.01,
|
||||
"cpu_time": 0.10,
|
||||
"time_unit": "ns"
|
||||
}
|
||||
]
|
||||
}
|
21
tools/gbench/Inputs/test4_run1.json
Normal file
21
tools/gbench/Inputs/test4_run1.json
Normal file
@ -0,0 +1,21 @@
|
||||
{
|
||||
"context": {
|
||||
"date": "2016-08-02 17:44:46",
|
||||
"num_cpus": 4,
|
||||
"mhz_per_cpu": 4228,
|
||||
"cpu_scaling_enabled": false,
|
||||
"library_build_type": "release"
|
||||
},
|
||||
"benchmarks": [
|
||||
{
|
||||
"name": "whocares",
|
||||
"run_type": "aggregate",
|
||||
"aggregate_name": "zz",
|
||||
"aggregate_unit": "percentage",
|
||||
"iterations": 1000,
|
||||
"real_time": 0.005,
|
||||
"cpu_time": 0.15,
|
||||
"time_unit": "ns"
|
||||
}
|
||||
]
|
||||
}
|
@ -914,6 +914,69 @@ class TestReportDifferenceWithUTestWhileDisplayingAggregatesOnly(
|
||||
assert_measurements(self, out, expected)
|
||||
|
||||
|
||||
|
||||
class TestReportDifferenceForPercentageAggregates(
|
||||
unittest.TestCase):
|
||||
@classmethod
|
||||
def setUpClass(cls):
|
||||
def load_results():
|
||||
import json
|
||||
testInputs = os.path.join(
|
||||
os.path.dirname(
|
||||
os.path.realpath(__file__)),
|
||||
'Inputs')
|
||||
testOutput1 = os.path.join(testInputs, 'test4_run0.json')
|
||||
testOutput2 = os.path.join(testInputs, 'test4_run1.json')
|
||||
with open(testOutput1, 'r') as f:
|
||||
json1 = json.load(f)
|
||||
with open(testOutput2, 'r') as f:
|
||||
json2 = json.load(f)
|
||||
return json1, json2
|
||||
|
||||
json1, json2 = load_results()
|
||||
cls.json_diff_report = get_difference_report(
|
||||
json1, json2, utest=True)
|
||||
|
||||
def test_json_diff_report_pretty_printing(self):
|
||||
expect_lines = [
|
||||
['whocares', '-0.5000', '+0.5000', '0', '0', '0', '0']
|
||||
]
|
||||
output_lines_with_header = print_difference_report(
|
||||
self.json_diff_report,
|
||||
utest=True, utest_alpha=0.05, use_color=False)
|
||||
output_lines = output_lines_with_header[2:]
|
||||
print("\n")
|
||||
print("\n".join(output_lines_with_header))
|
||||
self.assertEqual(len(output_lines), len(expect_lines))
|
||||
for i in range(0, len(output_lines)):
|
||||
parts = [x for x in output_lines[i].split(' ') if x]
|
||||
self.assertEqual(expect_lines[i], parts)
|
||||
|
||||
def test_json_diff_report(self):
|
||||
expected_output = [
|
||||
{
|
||||
'name': u'whocares',
|
||||
'measurements': [
|
||||
{'time': -0.5,
|
||||
'cpu': 0.5,
|
||||
'real_time': 0.01,
|
||||
'real_time_other': 0.005,
|
||||
'cpu_time': 0.10,
|
||||
'cpu_time_other': 0.15}
|
||||
],
|
||||
'time_unit': 'ns',
|
||||
'utest': {}
|
||||
}
|
||||
]
|
||||
self.assertEqual(len(self.json_diff_report), len(expected_output))
|
||||
for out, expected in zip(
|
||||
self.json_diff_report, expected_output):
|
||||
self.assertEqual(out['name'], expected['name'])
|
||||
self.assertEqual(out['time_unit'], expected['time_unit'])
|
||||
assert_utest(self, out, expected)
|
||||
assert_measurements(self, out, expected)
|
||||
|
||||
|
||||
class TestReportSorting(unittest.TestCase):
|
||||
@classmethod
|
||||
def setUpClass(cls):
|
||||
|
Loading…
Reference in New Issue
Block a user