Bind more State methods/attributes to Python (#1037)

* Bind Counter to Python

* Bind State methods to Python

* Bind state.counters to Python

* Import _benchmark.Counter

* Add Python example of state usage

Co-authored-by: Dominic Hamon <dominichamon@users.noreply.github.com>
This commit is contained in:
Antoine Prouvost 2020-09-10 04:57:30 -04:00 committed by GitHub
parent beb360d03e
commit 12e85b2eeb
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3 changed files with 121 additions and 11 deletions

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@ -29,10 +29,12 @@ Example usage:
from absl import app
from google_benchmark import _benchmark
from google_benchmark._benchmark import Counter
__all__ = [
"register",
"main",
"Counter",
]
__version__ = "0.1.0"
@ -54,7 +56,7 @@ def _flags_parser(argv):
def _run_benchmarks(argv):
if len(argv) > 1:
raise app.UsageError('Too many command-line arguments.')
raise app.UsageError("Too many command-line arguments.")
return _benchmark.RunSpecifiedBenchmarks()

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@ -1,8 +1,17 @@
// Benchmark for Python.
#include "benchmark/benchmark.h"
#include <map>
#include <string>
#include <vector>
#include "pybind11/operators.h"
#include "pybind11/pybind11.h"
#include "pybind11/stl.h"
#include "pybind11/stl_bind.h"
PYBIND11_MAKE_OPAQUE(benchmark::UserCounters);
namespace {
namespace py = ::pybind11;
@ -29,9 +38,8 @@ std::vector<std::string> Initialize(const std::vector<std::string>& argv) {
}
void RegisterBenchmark(const char* name, py::function f) {
benchmark::RegisterBenchmark(name, [f](benchmark::State& state) {
f(&state);
});
benchmark::RegisterBenchmark(name,
[f](benchmark::State& state) { f(&state); });
}
PYBIND11_MODULE(_benchmark, m) {
@ -40,9 +48,61 @@ PYBIND11_MODULE(_benchmark, m) {
m.def("RunSpecifiedBenchmarks",
[]() { benchmark::RunSpecifiedBenchmarks(); });
py::class_<benchmark::State>(m, "State")
.def("__bool__", &benchmark::State::KeepRunning)
.def_property_readonly("keep_running", &benchmark::State::KeepRunning)
.def("skip_with_error", &benchmark::State::SkipWithError);
using benchmark::Counter;
py::class_<Counter> py_counter(m, "Counter");
py::enum_<Counter::Flags>(py_counter, "Flags")
.value("kDefaults", Counter::Flags::kDefaults)
.value("kIsRate", Counter::Flags::kIsRate)
.value("kAvgThreads", Counter::Flags::kAvgThreads)
.value("kAvgThreadsRate", Counter::Flags::kAvgThreadsRate)
.value("kIsIterationInvariant", Counter::Flags::kIsIterationInvariant)
.value("kIsIterationInvariantRate",
Counter::Flags::kIsIterationInvariantRate)
.value("kAvgIterations", Counter::Flags::kAvgIterations)
.value("kAvgIterationsRate", Counter::Flags::kAvgIterationsRate)
.value("kInvert", Counter::Flags::kInvert)
.export_values()
.def(py::self | py::self);
py::enum_<Counter::OneK>(py_counter, "OneK")
.value("kIs1000", Counter::OneK::kIs1000)
.value("kIs1024", Counter::OneK::kIs1024)
.export_values();
py_counter
.def(py::init<double, Counter::Flags, Counter::OneK>(),
py::arg("value") = 0., py::arg("flags") = Counter::kDefaults,
py::arg("k") = Counter::kIs1000)
.def(py::init([](double value) { return Counter(value); }))
.def_readwrite("value", &Counter::value)
.def_readwrite("flags", &Counter::flags)
.def_readwrite("oneK", &Counter::oneK);
py::implicitly_convertible<py::float_, Counter>();
py::implicitly_convertible<py::int_, Counter>();
py::bind_map<benchmark::UserCounters>(m, "UserCounters");
using benchmark::State;
py::class_<State>(m, "State")
.def("__bool__", &State::KeepRunning)
.def_property_readonly("keep_running", &State::KeepRunning)
.def("pause_timing", &State::PauseTiming)
.def("resume_timing", &State::ResumeTiming)
.def("skip_with_error", &State::SkipWithError)
.def_property_readonly("error_occured", &State::error_occurred)
.def("set_iteration_time", &State::SetIterationTime)
.def_property("bytes_processed", &State::bytes_processed,
&State::SetBytesProcessed)
.def_property("complexity_n", &State::complexity_length_n,
&State::SetComplexityN)
.def_property("items_processed", &State::items_processed,
&State::SetItemsProcessed)
.def("set_label", (void (State::*)(const char*)) & State::SetLabel)
.def("range", &State::range, py::arg("pos") = 0)
.def_property_readonly("iterations", &State::iterations)
.def_readwrite("counters", &State::counters)
.def_readonly("thread_index", &State::thread_index)
.def_readonly("threads", &State::threads);
};
} // namespace

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@ -20,7 +20,11 @@ In the extracted directory, execute:
python setup.py install
"""
import random
import time
import google_benchmark as benchmark
from google_benchmark import Counter
@benchmark.register
@ -34,15 +38,59 @@ def sum_million(state):
while state:
sum(range(1_000_000))
@benchmark.register
def pause_timing(state):
"""Pause timing every iteration."""
while state:
# Construct a list of random ints every iteration without timing it
state.pause_timing()
random_list = [random.randint(0, 100) for _ in range(100)]
state.resume_timing()
# Time the in place sorting algorithm
random_list.sort()
@benchmark.register
def skipped(state):
if True: # Test some predicate here.
state.skip_with_error('some error')
state.skip_with_error("some error")
return # NOTE: You must explicitly return, or benchmark will continue.
# Benchmark code would be here.
... # Benchmark code would be here.
if __name__ == '__main__':
@benchmark.register
def manual_timing(state):
while state:
# Manually count Python CPU time
start = time.perf_counter() # perf_counter_ns() in Python 3.7+
# Somehting to benchmark
time.sleep(0.01)
end = time.perf_counter()
state.set_iteration_time(end - start)
@benchmark.register
def custom_counters(state):
"""Collect cutom metric using benchmark.Counter."""
num_foo = 0.0
while state:
# Benchmark some code here
pass
# Collect some custom metric named foo
num_foo += 0.13
# Automatic Counter from numbers.
state.counters["foo"] = num_foo
# Set a counter as a rate.
state.counters["foo_rate"] = Counter(num_foo, Counter.kIsRate)
# Set a counter as an inverse of rate.
state.counters["foo_inv_rate"] = Counter(num_foo, Counter.kIsRate | Counter.kInvert)
# Set a counter as a thread-average quantity.
state.counters["foo_avg"] = Counter(num_foo, Counter.kAvgThreads)
# There's also a combined flag:
state.counters["foo_avg_rate"] = Counter(num_foo, Counter.kAvgThreadsRate)
if __name__ == "__main__":
benchmark.main()