cpp-taskflow/unittests/test_transform.cpp at master · aimoonchen/cpp-taskflow · GitHub

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#define DOCTEST_CONFIG_IMPLEMENT_WITH_MAIN

#include <doctest.h>

#include <taskflow/taskflow.hpp>

#include <taskflow/algorithm/transform.hpp>

// ----------------------------------------------------------------------------

// Parallel Transform 1

// ----------------------------------------------------------------------------

template<typename T, typename P>

void parallel_transform(size_t W) {

std::srand(static_cast<unsigned int>(time(NULL)));

tf::Taskflow taskflow;

tf::Executor executor(W);

for(size_t N=0; N<1000; N=(N+1)*2) {

for(size_t c : {0, 1, 3, 7, 99}) {

taskflow.clear();

typename T::const_iterator src_beg;

typename T::const_iterator src_end;

std::list<std::string>::iterator tgt_beg;

T src;

std::list<std::string> tgt;

taskflow.clear();

auto from = taskflow.emplace([&](){

src.resize(N);

for(auto& d : src) {

d = ::rand() % 10;

tgt.emplace_back("hi");

}

src_beg = src.begin();

src_end = src.end();

tgt_beg = tgt.begin();

});

auto to = taskflow.transform(

std::ref(src_beg), std::ref(src_end), std::ref(tgt_beg),

[] (const auto& in) {

return std::to_string(in+10);

P(c)

);

from.precede(to);

executor.run(taskflow).wait();

auto s_itr = src.begin();

auto d_itr = tgt.begin();

while(s_itr != src.end()) {

REQUIRE(*d_itr++ == std::to_string(*s_itr++ + 10));

}

// guided

TEST_CASE("ParallelTransform.Guided.1thread") {

parallel_transform<std::vector<int>, tf::GuidedPartitioner<>>(1);

parallel_transform<std::list<int>, tf::GuidedPartitioner<>>(1);

}

TEST_CASE("ParallelTransform.Guided.2threads") {

parallel_transform<std::vector<int>, tf::GuidedPartitioner<>>(2);

parallel_transform<std::list<int>, tf::GuidedPartitioner<>>(2);

}

TEST_CASE("ParallelTransform.Guided.3threads") {

parallel_transform<std::vector<int>, tf::GuidedPartitioner<>>(3);

parallel_transform<std::list<int>, tf::GuidedPartitioner<>>(3);

}

TEST_CASE("ParallelTransform.Guided.4threads") {

parallel_transform<std::vector<int>, tf::GuidedPartitioner<>>(4);

parallel_transform<std::list<int>, tf::GuidedPartitioner<>>(4);

}

// random

TEST_CASE("ParallelTransform.Random.1thread") {

parallel_transform<std::vector<int>, tf::RandomPartitioner<>>(1);

parallel_transform<std::list<int>, tf::RandomPartitioner<>>(1);

}

TEST_CASE("ParallelTransform.Random.2threads") {

parallel_transform<std::vector<int>, tf::RandomPartitioner<>>(2);

parallel_transform<std::list<int>, tf::RandomPartitioner<>>(2);

}

TEST_CASE("ParallelTransform.Random.3threads") {

parallel_transform<std::vector<int>, tf::RandomPartitioner<>>(3);

parallel_transform<std::list<int>, tf::RandomPartitioner<>>(3);

}

TEST_CASE("ParallelTransform.Random.4threads") {

parallel_transform<std::vector<int>, tf::RandomPartitioner<>>(4);

parallel_transform<std::list<int>, tf::RandomPartitioner<>>(4);

}

// static

TEST_CASE("ParallelTransform.Static.1thread") {

parallel_transform<std::vector<int>, tf::StaticPartitioner<>>(1);

parallel_transform<std::list<int>, tf::StaticPartitioner<>>(1);

}

TEST_CASE("ParallelTransform.Static.2threads") {

parallel_transform<std::vector<int>, tf::StaticPartitioner<>>(2);

parallel_transform<std::list<int>, tf::StaticPartitioner<>>(2);

}

TEST_CASE("ParallelTransform.Static.3threads") {

parallel_transform<std::vector<int>, tf::StaticPartitioner<>>(3);

parallel_transform<std::list<int>, tf::StaticPartitioner<>>(3);

}

TEST_CASE("ParallelTransform.Static.4threads") {

parallel_transform<std::vector<int>, tf::StaticPartitioner<>>(4);

parallel_transform<std::list<int>, tf::StaticPartitioner<>>(4);

}

// ----------------------------------------------------------------------------

// Parallel Transform 2

// ----------------------------------------------------------------------------

template<typename T, typename P>

void parallel_transform2(size_t W) {

std::srand(static_cast<unsigned int>(time(NULL)));

tf::Taskflow taskflow;

tf::Executor executor(W);

for(size_t N=0; N<1000; N=(N+1)*2) {

for(size_t c : {0, 1, 3, 7, 99}) {

taskflow.clear();

typename T::const_iterator src_beg;

typename T::const_iterator src_end;

std::list<std::string>::iterator tgt_beg;

T src;

std::list<std::string> tgt;

taskflow.clear();

auto from = taskflow.emplace([&](){

src.resize(N);

for(auto& d : src) {

d = ::rand() % 10;

tgt.emplace_back("hi");

}

src_beg = src.begin();

src_end = src.end();

tgt_beg = tgt.begin();

});

auto to = taskflow.transform(

std::ref(src_beg), std::ref(src_end), std::ref(src_beg), std::ref(tgt_beg),

[] (const auto& in1, const auto& in2) {

return std::to_string(in1 + in2 + 10);

P(c)

);

from.precede(to);

executor.run(taskflow).wait();

auto s_itr = src.begin();

auto d_itr = tgt.begin();

while(s_itr != src.end()) {

REQUIRE(*d_itr++ == std::to_string(2 * *s_itr++ + 10));

}

// guided

TEST_CASE("ParallelTransform2.Guided.1thread") {

parallel_transform2<std::vector<int>, tf::GuidedPartitioner<>>(1);

parallel_transform2<std::list<int>, tf::GuidedPartitioner<>>(1);

}

TEST_CASE("ParallelTransform2.Guided.2threads") {

parallel_transform2<std::vector<int>, tf::GuidedPartitioner<>>(2);

parallel_transform2<std::list<int>, tf::GuidedPartitioner<>>(2);

}

TEST_CASE("ParallelTransform2.Guided.3threads") {

parallel_transform2<std::vector<int>, tf::GuidedPartitioner<>>(3);

parallel_transform2<std::list<int>, tf::GuidedPartitioner<>>(3);

}

TEST_CASE("ParallelTransform2.Guided.4threads") {

parallel_transform2<std::vector<int>, tf::GuidedPartitioner<>>(4);

parallel_transform2<std::list<int>, tf::GuidedPartitioner<>>(4);

}

// dynamic

TEST_CASE("ParallelTransform2.Dynamic.1thread") {

parallel_transform2<std::vector<int>, tf::DynamicPartitioner<>>(1);

parallel_transform2<std::list<int>, tf::DynamicPartitioner<>>(1);

}

TEST_CASE("ParallelTransform2.Dynamic.2threads") {

parallel_transform2<std::vector<int>, tf::DynamicPartitioner<>>(2);

parallel_transform2<std::list<int>, tf::DynamicPartitioner<>>(2);

}

TEST_CASE("ParallelTransform2.Dynamic.3threads") {

parallel_transform2<std::vector<int>, tf::DynamicPartitioner<>>(3);

parallel_transform2<std::list<int>, tf::DynamicPartitioner<>>(3);

}

TEST_CASE("ParallelTransform2.Dynamic.4threads") {

parallel_transform2<std::vector<int>, tf::DynamicPartitioner<>>(4);

parallel_transform2<std::list<int>, tf::DynamicPartitioner<>>(4);

}

// static

TEST_CASE("ParallelTransform2.Static.1thread") {

parallel_transform2<std::vector<int>, tf::StaticPartitioner<>>(1);

parallel_transform2<std::list<int>, tf::StaticPartitioner<>>(1);

}

TEST_CASE("ParallelTransform2.Static.2threads") {

parallel_transform2<std::vector<int>, tf::StaticPartitioner<>>(2);

parallel_transform2<std::list<int>, tf::StaticPartitioner<>>(2);

}

TEST_CASE("ParallelTransform2.Static.3threads") {

parallel_transform2<std::vector<int>, tf::StaticPartitioner<>>(3);

parallel_transform2<std::list<int>, tf::StaticPartitioner<>>(3);

}

TEST_CASE("ParallelTransform2.Static.4threads") {

parallel_transform2<std::vector<int>, tf::StaticPartitioner<>>(4);

parallel_transform2<std::list<int>, tf::StaticPartitioner<>>(4);

}

// random

TEST_CASE("ParallelTransform2.Random.1thread") {

parallel_transform2<std::vector<int>, tf::RandomPartitioner<>>(1);

parallel_transform2<std::list<int>, tf::RandomPartitioner<>>(1);

}

TEST_CASE("ParallelTransform2.Random.2threads") {

parallel_transform2<std::vector<int>, tf::RandomPartitioner<>>(2);

parallel_transform2<std::list<int>, tf::RandomPartitioner<>>(2);

}

TEST_CASE("ParallelTransform2.Random.3threads") {

parallel_transform2<std::vector<int>, tf::RandomPartitioner<>>(3);

parallel_transform2<std::list<int>, tf::RandomPartitioner<>>(3);

}

TEST_CASE("ParallelTransform2.Random.4threads") {

parallel_transform2<std::vector<int>, tf::RandomPartitioner<>>(4);

parallel_transform2<std::list<int>, tf::RandomPartitioner<>>(4);

}

// ----------------------------------------------------------------------------

// Parallel Transform 3

// ----------------------------------------------------------------------------

template <typename P>

void parallel_transform3(size_t W) {

std::srand(static_cast<unsigned int>(time(NULL)));

tf::Taskflow taskflow;

tf::Executor executor(W);

using std::string;

using std::size_t;

for(size_t N=0; N<1000; N=(N+1)*2) {

std::multimap<int, size_t> src;

/** Reference implementation with std::transform */

std::vector<string> ref;

/** Target implementation with Subflow::transform */

std::vector<string> tgt;

typename std::vector<string>::iterator tgt_beg;

/** A generic function to cast integers to string */

const auto myFunction = [](const size_t x) -> string {

return "id_" + std::to_string(x);

};

taskflow.clear();

/** Group integers 0..(N-1) into ten groups,

* each having an unique key `d`.

auto from = taskflow.emplace([&, N](){

for(size_t i = 0; i < N; i++) {

const int d = ::rand() % 10;

src.emplace(d, i);

}

ref.resize(N);

tgt.resize(N);

tgt_beg = tgt.begin();

});

auto to_ref = taskflow.emplace([&]() {

// Find entries matching key = 0.

// This can return empty results.

const auto [src_beg, src_end] = src.equal_range(0);

const size_t n_matching = std::distance(src_beg, src_end);

ref.resize(n_matching);

// Extract all values having matching key value.

std::transform(src_beg, src_end, ref.begin(),

[&](const auto& x) -> string {

return myFunction(x.second);

}

);

});

/** Dynamic scheduling with Subflow::transform */

auto to_tgt = taskflow.emplace([&](tf::Subflow& subflow) {

// Find entries matching key = 0

const auto [src_beg, src_end] = src.equal_range(0);

const size_t n_matching = std::distance(src_beg, src_end);

tgt.resize(n_matching);

subflow.transform(

std::ref(src_beg), std::ref(src_end), std::ref(tgt_beg),

[&] (const auto& x) -> string {

return myFunction(x.second);

}, P());

subflow.join();

});

from.precede(to_ref);

from.precede(to_tgt);

executor.run(taskflow).wait();

/** Target entries much match. */

REQUIRE(std::equal(tgt.begin(), tgt.end(), ref.begin()));

}

// guided

TEST_CASE("ParallelTransform3.Guided.1thread") {

parallel_transform3<tf::GuidedPartitioner<>>(1);

}

TEST_CASE("ParallelTransform3.Guided.2threads") {

parallel_transform3<tf::GuidedPartitioner<>>(2);

}

TEST_CASE("ParallelTransform3.Guided.3threads") {

parallel_transform3<tf::GuidedPartitioner<>>(3);

}

TEST_CASE("ParallelTransform3.Guided.4threads") {

parallel_transform3<tf::GuidedPartitioner<>>(4);

}

// dynamic

TEST_CASE("ParallelTransform3.Dynamic.1thread") {

parallel_transform3<tf::DynamicPartitioner<>>(1);

}

TEST_CASE("ParallelTransform3.Dynamic.2threads") {

parallel_transform3<tf::DynamicPartitioner<>>(2);

}

TEST_CASE("ParallelTransform3.Dynamic.3threads") {

parallel_transform3<tf::DynamicPartitioner<>>(3);

}

TEST_CASE("ParallelTransform3.Dynamic.4threads") {

parallel_transform3<tf::DynamicPartitioner<>>(4);

}

// static

TEST_CASE("ParallelTransform3.Static.1thread") {

parallel_transform3<tf::StaticPartitioner<>>(1);

}

TEST_CASE("ParallelTransform3.Static.2threads") {

parallel_transform3<tf::StaticPartitioner<>>(2);

}

TEST_CASE("ParallelTransform3.Static.3threads") {

parallel_transform3<tf::StaticPartitioner<>>(3);

}

TEST_CASE("ParallelTransform3.Static.4threads") {

parallel_transform3<tf::StaticPartitioner<>>(4);

}

// random

TEST_CASE("ParallelTransform3.Random.1thread") {

parallel_transform3<tf::RandomPartitioner<>>(1);

}

TEST_CASE("ParallelTransform3.Random.2threads") {

parallel_transform3<tf::RandomPartitioner<>>(2);

}

TEST_CASE("ParallelTransform3.Random.3threads") {

parallel_transform3<tf::RandomPartitioner<>>(3);

}

TEST_CASE("ParallelTransform3.Random.4threads") {

parallel_transform3<tf::RandomPartitioner<>>(4);

}

// ----------------------------------------------------------------------------

// Closure Wrapper

// ----------------------------------------------------------------------------

int& GetThreadSpecificContext()

{

thread_local int context = 0;

return context;

}

const int UPPER = 1000;

TEST_CASE("ClosureWrapper.transform.Static" * doctest::timeout(300))

{

// Write a test case for using the taskwrapper on tf::transform

for (int tc = 1; tc < 16; tc++)

{

tf::Executor executor(tc);

std::atomic<int> wrapper_called_count = 0;

tf::Taskflow taskflow;

std::vector<int> range(UPPER, 0);

std::vector<int> result(UPPER);

taskflow.transform(range.begin(), range.end(), begin(result),

[&](int) {

return GetThreadSpecificContext();

tf::StaticPartitioner(1, [&](auto&& task){

wrapper_called_count++;

GetThreadSpecificContext() = tc;

task();

GetThreadSpecificContext() = 0;

})

);

executor.run(taskflow).wait();

REQUIRE(wrapper_called_count == tc);

REQUIRE(result == std::vector<int>(UPPER, tc));

}

// Implement for dynamic case for transform

TEST_CASE("ClosureWrapper.transform.Dynamic" * doctest::timeout(300))

{

for (int tc = 1; tc < 16; tc++)

{

tf::Executor executor(tc);

std::atomic<int> wrapper_called_count = 0;

tf::Taskflow taskflow;

std::vector<int> range(UPPER);

std::iota(range.begin(), range.end(), 0);

std::vector<int> result(UPPER);

taskflow.transform(range.begin(), range.end(), begin(result),

[&](int){

return GetThreadSpecificContext();

tf::DynamicPartitioner(1, [&](auto&& task) {

wrapper_called_count++;

GetThreadSpecificContext() = tc;

task();

GetThreadSpecificContext() = 0;

})

);

executor.run(taskflow).wait();

REQUIRE(wrapper_called_count <= tc);

REQUIRE(result == std::vector<int>(UPPER, tc));

}

//// ----------------------------------------------------------------------------

//// ParallelTransform Exception

//// ----------------------------------------------------------------------------

//void parallel_transform_exception(unsigned W) {

// tf::Taskflow taskflow;

// tf::Executor executor(W);

// std::vector<int> src(1000000, 0);

// std::vector<int> tgt(1000000, 0);

// taskflow.transform(src.begin(), src.end(), tgt.begin(), [](int&) {

// throw std::runtime_error("x");

// return 1;

// });

// REQUIRE_THROWS_WITH_AS(executor.run(taskflow).get(), "x", std::runtime_error);

//}

//TEST_CASE("ParallelTransform.Exception.1thread") {

// parallel_transform_exception(1);

//}

//TEST_CASE("ParallelTransform.Exception.2threads") {

// parallel_transform_exception(2);

//}

//TEST_CASE("ParallelTransform.Exception.3threads") {

// parallel_transform_exception(3);

//}

//TEST_CASE("ParallelTransform.Exception.4threads") {

// parallel_transform_exception(4);

//}

cpp-taskflow/unittests/test_transform.cpp at master · aimoonchen/cpp-taskflow · GitHub

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