taskflow/unittests/test_scalable_pipelines.cpp at task_isolation · ModuleWorks/taskflow · GitHub

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#define DOCTEST_CONFIG_IMPLEMENT_WITH_MAIN

#include <doctest.h>

#include <taskflow/taskflow.hpp>

#include <taskflow/algorithm/pipeline.hpp>

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

// Constructors and Assignments

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

TEST_CASE("ScalablePipeline.Basics" * doctest::timeout(300)) {

size_t N = 10;

std::vector< tf::Pipe<std::function<void(tf::Pipeflow&)>> > pipes;

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

pipes.emplace_back(tf::PipeType::SERIAL, [&](tf::Pipeflow&) {});

}

using iterator_type = decltype(pipes)::iterator;

tf::ScalablePipeline<iterator_type> rhs;

REQUIRE(rhs.num_lines() == 0);

REQUIRE(rhs.num_pipes() == 0);

REQUIRE(rhs.num_tokens() == 0);

rhs.reset(1, pipes.begin(), pipes.end());

REQUIRE(rhs.num_lines() == 1);

REQUIRE(rhs.num_pipes() == N);

REQUIRE(rhs.num_tokens() == 0);

tf::ScalablePipeline<iterator_type> lhs(std::move(rhs));

REQUIRE(rhs.num_lines() == 0);

REQUIRE(rhs.num_pipes() == 0);

REQUIRE(rhs.num_tokens() == 0);

REQUIRE(lhs.num_lines() == 1);

REQUIRE(lhs.num_pipes() == N);

REQUIRE(lhs.num_tokens() == 0);

rhs = std::move(lhs);

REQUIRE(lhs.num_lines() == 0);

REQUIRE(lhs.num_pipes() == 0);

REQUIRE(lhs.num_tokens() == 0);

REQUIRE(rhs.num_lines() == 1);

REQUIRE(rhs.num_pipes() == N);

REQUIRE(rhs.num_tokens() == 0);

}

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

// Scalable Pipeline

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

void scalable_pipeline(size_t num_lines, size_t num_pipes) {

tf::Executor executor;

tf::Taskflow taskflow;

size_t N = 0;

std::vector< tf::Pipe<std::function<void(tf::Pipeflow&)>> > pipes;

std::vector< size_t > data(num_lines, 0);

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

pipes.emplace_back(tf::PipeType::SERIAL, [&](tf::Pipeflow& pf) mutable {

switch(pf.pipe()) {

case 0:

if(pf.token() == 1111) {

pf.stop();

return;

}

data[pf.line()] = num_pipes * pf.token();

break;

default: {

++data[pf.line()];

}

break;

}

//printf("data[%zu]=%d\n", pf.line(), data[pf.line()]);

REQUIRE(data[pf.line()] == (pf.token() * num_pipes + pf.pipe()));

if(pf.pipe() == num_pipes - 1) {

N++;

}

});

}

tf::ScalablePipeline spl(num_lines, pipes.begin(), pipes.end());

taskflow.composed_of(spl);

executor.run(taskflow).wait();

REQUIRE(N == 1111);

}

TEST_CASE("ScalablePipeline" * doctest::timeout(300)) {

for(size_t L=1; L<=10; L++) {

for(size_t P=1; P<=10; P++) {

scalable_pipeline(L, P);

}

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

// Scalable Pipeline using Reset

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

void scalable_pipeline_reset(size_t num_lines, size_t num_pipes) {

tf::Executor executor;

tf::Taskflow taskflow;

size_t N = 0;

std::vector< tf::Pipe<std::function<void(tf::Pipeflow&)>> > pipes;

std::vector< size_t > data(num_lines, 0);

tf::ScalablePipeline<typename decltype(pipes)::iterator> spl(num_lines);

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

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

pipes.emplace_back(tf::PipeType::SERIAL, [&](tf::Pipeflow& pf) mutable {

switch(pf.pipe()) {

case 0:

if(pf.token() == 1111) {

pf.stop();

return;

}

data[pf.line()] = num_pipes * pf.token();

break;

default: {

++data[pf.line()];

}

break;

}

//printf("data[%zu]=%d\n", pf.line(), data[pf.line()]);

REQUIRE(data[pf.line()] == (pf.token() * num_pipes + pf.pipe()));

if(pf.pipe() == num_pipes - 1) {

N++;

}

});

}

spl.reset(pipes.begin(), pipes.end());

});

auto pipeline = taskflow.composed_of(spl);

pipeline.succeed(init);

executor.run(taskflow).wait();

REQUIRE(N == 1111);

}

TEST_CASE("ScalablePipeline.Reset" * doctest::timeout(300)) {

for(size_t L=1; L<=10; L++) {

for(size_t P=1; P<=10; P++) {

scalable_pipeline_reset(L, P);

}

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

// Scalable Pipeline using Iterative Reset

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

void scalable_pipeline_iterative_reset(size_t num_lines, size_t num_pipes) {

tf::Executor executor;

tf::Taskflow taskflow;

size_t N = 0;

std::vector< tf::Pipe<std::function<void(tf::Pipeflow&)>> > pipes;

std::vector< size_t > data(num_lines, 0);

tf::ScalablePipeline<typename decltype(pipes)::iterator> spl(num_lines);

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

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

pipes.emplace_back(tf::PipeType::SERIAL, [&](tf::Pipeflow& pf) mutable {

switch(pf.pipe()) {

case 0:

if(pf.token() == 1111) {

pf.stop();

return;

}

data[pf.line()] = num_pipes * pf.token();

break;

default: {

++data[pf.line()];

}

break;

}

//printf("data[%zu]=%d\n", pf.line(), data[pf.line()]);

REQUIRE(data[pf.line()] == (pf.token() * num_pipes + pf.pipe()));

if(pf.pipe() == num_pipes - 1) {

N++;

}

});

}

spl.reset(pipes.begin(), pipes.end());

});

auto cond = taskflow.emplace([&, i=0]()mutable{

REQUIRE(N == 1111*(i+1));

spl.reset();

return (i++ < 3) ? 0 : -1;

});

auto pipeline = taskflow.composed_of(spl);

pipeline.succeed(init)

.precede(cond);

cond.precede(pipeline);

executor.run(taskflow).wait();

}

TEST_CASE("ScalablePipeline.IterativeReset" * doctest::timeout(300)) {

for(size_t L=1; L<=10; L++) {

for(size_t P=1; P<=10; P++) {

scalable_pipeline_iterative_reset(L, P);

}

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

// Scalable Pipeline Reset

// reset(num_lines, pipes.begin(), pipes.end())

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

void scalable_pipeline_lines_reset(size_t num_lines, size_t num_pipes) {

tf::Executor executor;

size_t N = 0;

std::vector<tf::Pipe<>> pipes;

tf::ScalablePipeline<typename decltype(pipes)::iterator> spl;

for(size_t l = 1; l <= num_lines; ++l) {

tf::Taskflow taskflow;

std::vector<size_t> data(l, 0);

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

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

pipes.emplace_back(tf::PipeType::SERIAL, [&](tf::Pipeflow& pf) mutable {

switch(pf.pipe()) {

case 0:

if(pf.token() == 1111) {

pf.stop();

return;

}

data[pf.line()] = num_pipes * pf.token();

break;

default: {

++data[pf.line()];

}

break;

}

//printf("data[%zu]=%d\n", pf.line(), data[pf.line()]);

REQUIRE(data[pf.line()] == (pf.token() * num_pipes + pf.pipe()));

if(pf.pipe() == num_pipes - 1) {

N++;

}

});

}

spl.reset(l, pipes.begin(), pipes.end());

});

auto check = taskflow.emplace([&]()mutable{

REQUIRE(N == 1111 * l);

pipes.clear();

});

auto pipeline = taskflow.composed_of(spl);

pipeline.succeed(init)

.precede(check);

executor.run(taskflow).wait();

}

TEST_CASE("ScalablePipeline.LinesReset" * doctest::timeout(300)) {

for(size_t P=1; P<=10; P++) {

scalable_pipeline_lines_reset(10, P);

}

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

// ifelse ScalablePipeline has three pipes, L lines, w workers

// SPS

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

int ifelse_spipe_ans(int a) {

// pipe 1

if(a / 2 != 0) {

a += 8;

}

// pipe 2

if(a > 4897) {

a -= 1834;

}

else {

a += 3;

}

// pipe 3

if((a + 9) / 4 < 50) {

a += 1;

}

else {

a += 17;

}

return a;

}

void ifelse_spipeline(size_t L, unsigned w) {

tf::Executor executor(w);

size_t maxN = 200;

std::vector<int> source(maxN);

for(auto&& s: source) {

s = rand() % 9962;

}

std::vector<std::array<int, 4>> buffer(L);

std::vector<tf::Pipe<>> pipes;

tf::ScalablePipeline<typename decltype(pipes)::iterator> pl;

for(size_t N = 1; N < maxN; ++N) {

tf::Taskflow taskflow;

std::vector<int> collection;

collection.reserve(N);

// pipe 1

pipes.emplace_back(tf::PipeType::SERIAL, [&, N](auto& pf){

if(pf.token() == N) {

pf.stop();

return;

}

if(source[pf.token()] / 2 == 0) {

buffer[pf.line()][pf.pipe()] = source[pf.token()];

}

else {

buffer[pf.line()][pf.pipe()] = source[pf.token()] + 8;

}

});

// pipe 2

pipes.emplace_back(tf::PipeType::PARALLEL, [&](auto& pf){

if(buffer[pf.line()][pf.pipe() - 1] > 4897) {

buffer[pf.line()][pf.pipe()] = buffer[pf.line()][pf.pipe() - 1] - 1834;

}

else {

buffer[pf.line()][pf.pipe()] = buffer[pf.line()][pf.pipe() - 1] + 3;

}

});

// pipe 3

pipes.emplace_back(tf::PipeType::SERIAL, [&](auto& pf){

if((buffer[pf.line()][pf.pipe() - 1] + 9) / 4 < 50) {

buffer[pf.line()][pf.pipe()] = buffer[pf.line()][pf.pipe() - 1] + 1;

}

else {

buffer[pf.line()][pf.pipe()] = buffer[pf.line()][pf.pipe() - 1] + 17;

}

collection.push_back(buffer[pf.line()][pf.pipe()]);

});

pl.reset(L, pipes.begin(), pipes.end());

auto pl_t = taskflow.composed_of(pl).name("pipeline");

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

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

REQUIRE(collection[n] == ifelse_spipe_ans(source[n]));

}

}).name("check");

pl_t.precede(check_t);

executor.run(taskflow).wait();

pipes.clear();

}

TEST_CASE("ScalablePipeline.Ifelse.1L.1W" * doctest::timeout(300)) {

ifelse_spipeline(1, 1);

}

TEST_CASE("ScalablePipeline.Ifelse.1L.2W" * doctest::timeout(300)) {

ifelse_spipeline(1, 2);

}

TEST_CASE("ScalablePipeline.Ifelse.1L.3W" * doctest::timeout(300)) {

ifelse_spipeline(1, 3);

}

TEST_CASE("ScalablePipeline.Ifelse.1L.4W" * doctest::timeout(300)) {

ifelse_spipeline(1, 4);

}

TEST_CASE("ScalablePipeline.Ifelse.3L.1W" * doctest::timeout(300)) {

ifelse_spipeline(3, 1);

}

TEST_CASE("ScalablePipeline.Ifelse.3L.2W" * doctest::timeout(300)) {

ifelse_spipeline(3, 2);

}

TEST_CASE("ScalablePipeline.Ifelse.3L.3W" * doctest::timeout(300)) {

ifelse_spipeline(3, 3);

}

TEST_CASE("ScalablePipeline.Ifelse.3L.4W" * doctest::timeout(300)) {

ifelse_spipeline(3, 4);

}

TEST_CASE("ScalablePipeline.Ifelse.5L.1W" * doctest::timeout(300)) {

ifelse_spipeline(5, 1);

}

TEST_CASE("ScalablePipeline.Ifelse.5L.2W" * doctest::timeout(300)) {

ifelse_spipeline(5, 2);

}

TEST_CASE("ScalablePipeline.Ifelse.5L.3W" * doctest::timeout(300)) {

ifelse_spipeline(5, 3);

}

TEST_CASE("ScalablePipeline.Ifelse.5L.4W" * doctest::timeout(300)) {

ifelse_spipeline(5, 4);

}

TEST_CASE("ScalablePipeline.Ifelse.7L.1W" * doctest::timeout(300)) {

ifelse_spipeline(7, 1);

}

TEST_CASE("ScalablePipeline.Ifelse.7L.2W" * doctest::timeout(300)) {

ifelse_spipeline(7, 2);

}

TEST_CASE("ScalablePipeline.Ifelse.7L.3W" * doctest::timeout(300)) {

ifelse_spipeline(7, 3);

}

TEST_CASE("ScalablePipeline.Ifelse.7L.4W" * doctest::timeout(300)) {

ifelse_spipeline(7, 4);

}

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

// ScalablePipeline in ScalablePipeline

// pipeline has 4 pipes, L lines, W workers

// each subpipeline has 3 pipes, subL lines

// pipeline = SPPS

// each subpipeline = SPS

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

void spipeline_in_spipeline(size_t L, unsigned w, unsigned subL) {

tf::Executor executor(w);

const size_t maxN = 7;

const size_t maxsubN = 7;

std::vector<std::vector<int>> source(maxN);

for(auto&& each: source) {

each.resize(maxsubN);

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

}

std::vector<std::array<int, 4>> buffer(L);

std::vector<tf::Pipe<>> pipes;

tf::ScalablePipeline<typename decltype(pipes)::iterator> pl;

// each pipe contains one subpipeline

// each subpipeline has three pipes, subL lines

// subbuffers[0][1][2][2] means

// first line, second pipe, third subline, third subpipe

std::vector<std::vector<std::vector<std::array<int, 3>>>> subbuffers(L);

for(auto&& b: subbuffers) {

b.resize(4);

for(auto&& each: b) {

each.resize(subL);

}

for (size_t N = 1; N < maxN; ++N) {

for(size_t subN = 1; subN < maxsubN; ++subN) {

size_t j1 = 0, j4 = 0;

std::atomic<size_t> j2 = 0;

std::atomic<size_t> j3 = 0;

// begin of pipeline ---------------------------

// begin of pipe 1 -----------------------------

pipes.emplace_back(tf::PipeType::SERIAL, [&, N, subN, subL](auto& pf) mutable {

if(j1 == N) {

pf.stop();

return;

}

size_t subj1 = 0, subj3 = 0;

std::atomic<size_t> subj2 = 0;

std::vector<int> subcollection;

subcollection.reserve(subN);

std::vector<tf::Pipe<>> subpipes;

tf::ScalablePipeline<typename decltype(subpipes)::iterator> subpl;

// subpipe 1

subpipes.emplace_back(tf::PipeType::SERIAL, [&, subN](auto& subpf) mutable {

if(subj1 == subN) {

subpf.stop();

return;

}

REQUIRE(subpf.token() % subL == subpf.line());

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()]

= source[pf.token()][subj1] + 1;

++subj1;

});

// subpipe 2

subpipes.emplace_back(tf::PipeType::PARALLEL, [&, subN](auto& subpf) mutable {

REQUIRE(subj2++ < subN);

REQUIRE(subpf.token() % subL == subpf.line());

REQUIRE(

source[pf.token()][subpf.token()] + 1 ==

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe() - 1]

);

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()]

= source[pf.token()][subpf.token()] + 1;

});

// subpipe 3

subpipes.emplace_back(tf::PipeType::SERIAL, [&, subN](auto& subpf) mutable {

REQUIRE(subj3 < subN);

REQUIRE(subpf.token() % subL == subpf.line());

REQUIRE(

source[pf.token()][subj3] + 1 ==

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe() - 1]

);

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()]

= source[pf.token()][subj3] + 3;

subcollection.push_back(subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()]);

++subj3;

});

tf::Taskflow taskflow;

// test task

auto test_t = taskflow.emplace([&, subN](){

REQUIRE(subj1 == subN);

REQUIRE(subj2 == subN);

REQUIRE(subj3 == subN);

REQUIRE(subpl.num_tokens() == subN);

REQUIRE(subcollection.size() == subN);

}).name("test");

// subpipeline

subpl.reset(subL, subpipes.begin(), subpipes.end());

auto subpl_t = taskflow.composed_of(subpl).name("module_of_subpipeline");

subpl_t.precede(test_t);

executor.corun(taskflow);

buffer[pf.line()][pf.pipe()] = std::accumulate(

subcollection.begin(),

subcollection.end(),

);

j1++;

});

// end of pipe 1 -----------------------------

//begin of pipe 2 ---------------------------

pipes.emplace_back(tf::PipeType::PARALLEL, [&, subN, subL](auto& pf) mutable {

REQUIRE(j2++ < N);

int res = std::accumulate(

source[pf.token()].begin(),

source[pf.token()].begin() + subN,

);

REQUIRE(buffer[pf.line()][pf.pipe() - 1] == res + 3 * subN);

size_t subj1 = 0, subj3 = 0;

std::atomic<size_t> subj2 = 0;

std::vector<int> subcollection;

subcollection.reserve(subN);

std::vector<tf::Pipe<>> subpipes;

tf::ScalablePipeline<typename decltype(subpipes)::iterator> subpl;

// subpipe 1

subpipes.emplace_back(tf::PipeType::SERIAL, [&, subN](auto& subpf) mutable {

if(subj1 == subN) {

subpf.stop();

return;

}

REQUIRE(subpf.token() % subL == subpf.line());

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()] =

source[pf.token()][subj1] + 1;

++subj1;

});

// subpipe 2

subpipes.emplace_back(tf::PipeType::PARALLEL, [&, subN](auto& subpf) mutable {

REQUIRE(subj2++ < subN);

REQUIRE(subpf.token() % subL == subpf.line());

REQUIRE(

source[pf.token()][subpf.token()] + 1 ==

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe() - 1]

);

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()]

= source[pf.token()][subpf.token()] + 1;

});

// subpipe 3

subpipes.emplace_back(tf::PipeType::SERIAL, [&, subN](auto& subpf) mutable {

REQUIRE(subj3 < subN);

REQUIRE(subpf.token() % subL == subpf.line());

REQUIRE(

source[pf.token()][subj3] + 1 ==

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe() - 1]

);

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()]

= source[pf.token()][subj3] + 13;

subcollection.push_back(subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()]);

++subj3;

});

tf::Taskflow taskflow;

// test task

auto test_t = taskflow.emplace([&, subN](){

REQUIRE(subj1 == subN);

REQUIRE(subj2 == subN);

REQUIRE(subj3 == subN);

REQUIRE(subpl.num_tokens() == subN);

REQUIRE(subcollection.size() == subN);

}).name("test");

// subpipeline

subpl.reset(subL, subpipes.begin(), subpipes.end());

auto subpl_t = taskflow.composed_of(subpl).name("module_of_subpipeline");

subpl_t.precede(test_t);

executor.corun(taskflow);

buffer[pf.line()][pf.pipe()] = std::accumulate(

subcollection.begin(),

subcollection.end(),

);

});

// end of pipe 2 -----------------------------

// begin of pipe 3 ---------------------------

pipes.emplace_back(tf::PipeType::SERIAL, [&, N, subN, subL](auto& pf) mutable {

REQUIRE(j3++ < N);

int res = std::accumulate(

source[pf.token()].begin(),

source[pf.token()].begin() + subN,

);

REQUIRE(buffer[pf.line()][pf.pipe() - 1] == res + 13 * subN);

size_t subj1 = 0, subj3 = 0;

std::atomic<size_t> subj2 = 0;

std::vector<int> subcollection;

subcollection.reserve(subN);

std::vector<tf::Pipe<>> subpipes;

tf::ScalablePipeline<typename decltype(subpipes)::iterator> subpl;

// subpipe 1

subpipes.emplace_back(tf::PipeType::SERIAL, [&, subN](auto& subpf) mutable {

if(subj1 == subN) {

subpf.stop();

return;

}

REQUIRE(subpf.token() % subL == subpf.line());

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()]

= source[pf.token()][subj1] + 1;

++subj1;

});

// subpipe 2

subpipes.emplace_back(tf::PipeType::PARALLEL, [&, subN](auto& subpf) mutable {

REQUIRE(subj2++ < subN);

REQUIRE(subpf.token() % subL == subpf.line());

REQUIRE(

source[pf.token()][subpf.token()] + 1 ==

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe() - 1]

);

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()] =

source[pf.token()][subpf.token()] + 1;

});

// subpipe 3

subpipes.emplace_back(tf::PipeType::SERIAL, [&, subN](auto& subpf) mutable {

REQUIRE(subj3 < subN);

REQUIRE(subpf.token() % subL == subpf.line());

REQUIRE(

source[pf.token()][subj3] + 1 ==

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe() - 1]

);

subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()] =

source[pf.token()][subj3] + 7;

subcollection.push_back(subbuffers[pf.line()][pf.pipe()][subpf.line()][subpf.pipe()]);

++subj3;

});

tf::Taskflow taskflow;

// test task

auto test_t = taskflow.emplace([&, subN](){

REQUIRE(subj1 == subN);

REQUIRE(subj2 == subN);

REQUIRE(subj3 == subN);

REQUIRE(subpl.num_tokens() == subN);

REQUIRE(subcollection.size() == subN);

}).name("test");

// subpipeline

subpl.reset(subL, subpipes.begin(), subpipes.end());

auto subpl_t = taskflow.composed_of(subpl).name("module_of_subpipeline");

subpl_t.precede(test_t);

executor.corun(taskflow);

buffer[pf.line()][pf.pipe()] = std::accumulate(

subcollection.begin(),

subcollection.end(),

);

});

// end of pipe 3 -----------------------------

// begin of pipe 4 ---------------------------

pipes.emplace_back(tf::PipeType::SERIAL, [&, subN](auto& pf) mutable {

int res = std::accumulate(

source[j4].begin(),

source[j4].begin() + subN,

);

REQUIRE(buffer[pf.line()][pf.pipe() - 1] == res + 7 * subN);

j4++;

});

// end of pipe 4 -----------------------------

pl.reset(L, pipes.begin(), pipes.end());

tf::Taskflow taskflow;

taskflow.composed_of(pl).name("module_of_pipeline");

executor.run(taskflow).wait();

pipes.clear();

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.1L.1W.1subL" * doctest::timeout(300)) {

spipeline_in_spipeline(1, 1, 1);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.1L.1W.3subL" * doctest::timeout(300)) {

spipeline_in_spipeline(1, 1, 3);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.1L.1W.4subL" * doctest::timeout(300)) {

spipeline_in_spipeline(1, 1, 4);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.1L.2W.1subL" * doctest::timeout(300)) {

spipeline_in_spipeline(1, 2, 1);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.1L.2W.3subL" * doctest::timeout(300)) {

spipeline_in_spipeline(1, 2, 3);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.1L.2W.4subL" * doctest::timeout(300)) {

spipeline_in_spipeline(1, 2, 4);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.3L.1W.1subL" * doctest::timeout(300)) {

spipeline_in_spipeline(3, 1, 1);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.3L.1W.3subL" * doctest::timeout(300)) {

spipeline_in_spipeline(3, 1, 3);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.3L.1W.4subL" * doctest::timeout(300)) {

spipeline_in_spipeline(3, 1, 4);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.3L.2W.1subL" * doctest::timeout(300)) {

spipeline_in_spipeline(3, 2, 1);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.3L.2W.3subL" * doctest::timeout(300)) {

spipeline_in_spipeline(3, 2, 3);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.3L.2W.4subL" * doctest::timeout(300)) {

spipeline_in_spipeline(3, 2, 4);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.5L.1W.1subL" * doctest::timeout(300)) {

spipeline_in_spipeline(5, 1, 1);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.5L.1W.3subL" * doctest::timeout(300)) {

spipeline_in_spipeline(5, 1, 3);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.5L.1W.4subL" * doctest::timeout(300)) {

spipeline_in_spipeline(5, 1, 4);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.5L.2W.1subL" * doctest::timeout(300)) {

spipeline_in_spipeline(5, 2, 1);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.5L.2W.3subL" * doctest::timeout(300)) {

spipeline_in_spipeline(5, 2, 3);

}

TEST_CASE("ScalablePipeline.PipelineinPipeline.5L.2W.4subL" * doctest::timeout(300)) {

spipeline_in_spipeline(5, 2, 4);

}

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

/* SNIG task graph

// o: normal task

// c: condition task

// p: pipeline

// four devices example:

// o

// / | | \

// c c c c -----

// | | | | |

// -----> p p p p |

// | | | | | |

// ----- c c c c |

// | | | | |

// o o o o |

// \ \ | / |

// \||/ |

// o <-----------

// each pipeline has five pipes, L lines, W workers

// each pipeline = SPSPS

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

void snig_spipeline(size_t L, unsigned w) {

size_t NUM_SOURCE = 70000;

size_t BATCH_SIZE = 100;

std::array<size_t, 7> NUM_DEVICES = {1, 2, 4, 6, 9, 13, 17};

std::atomic<size_t> finished{0};

std::vector<int> source(NUM_SOURCE);

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

for(auto&& NUM_DEVICE: NUM_DEVICES) {

std::vector<std::vector<std::array<int, 5>>> buffers(NUM_DEVICE);

for(auto&& buffer: buffers) {

buffer.resize(L);

}

tf::Taskflow taskflow;

tf::Executor executor(w);

auto start_t = taskflow.emplace([](){}).name("start");

auto end_t = taskflow.emplace([](){}).name("end");

std::vector<tf::Task> dev_ends(NUM_DEVICE);

for(auto&& dev_end: dev_ends) {

dev_end = taskflow.emplace([](){}).name("dev_end");

}

std::vector<tf::Task> first_fetches(NUM_DEVICE);

std::vector<tf::Task> fetches(NUM_DEVICE);

std::vector<std::vector<tf::Pipe<>>> pipes(NUM_DEVICE);

// for type

using pipeline_it = std::vector<tf::Pipe<>>::iterator;

std::vector<tf::Task> module_of_pipelines(NUM_DEVICE);

std::vector<tf::ScalablePipeline<pipeline_it>> pipelines(NUM_DEVICE);

std::vector<size_t> dev_begins(NUM_DEVICE);

std::vector<size_t> j1s(NUM_DEVICE, 0);

std::vector<size_t> j3s(NUM_DEVICE, 0);

std::vector<size_t> j5s(NUM_DEVICE, 0);

std::vector<std::unique_ptr<std::atomic<size_t>>> j2s(NUM_DEVICE);

std::vector<std::unique_ptr<std::atomic<size_t>>> j4s(NUM_DEVICE);

for(size_t dev = 0; dev < NUM_DEVICE; ++dev) {

j2s[dev] = std::make_unique<std::atomic<size_t>>(0);

j4s[dev] = std::make_unique<std::atomic<size_t>>(0);

}

std::vector<std::vector<int>> collections(NUM_DEVICE);

for(auto&& collection: collections) {

collection.reserve(BATCH_SIZE);

}

for(size_t dev = 0; dev < NUM_DEVICE; ++dev) {

first_fetches[dev] = taskflow.emplace([&, dev, BATCH_SIZE](){

size_t num = finished.fetch_add(BATCH_SIZE);

dev_begins[dev] = num;

return num >= NUM_SOURCE;

}).name("first_fetch");

// pipe 1

pipes[dev].emplace_back(

tf::PipeType::SERIAL,

[&, dev, BATCH_SIZE](auto& pf) mutable {

if(j1s[dev] == BATCH_SIZE) {

pf.stop();

return;

}

REQUIRE(pf.token() % L == pf.line());

buffers[dev][pf.line()][pf.pipe()] = source[dev_begins[dev] + j1s[dev]] + 1;

++j1s[dev];

}

);

// pipe 2

pipes[dev].emplace_back(

tf::PipeType::PARALLEL, [&, dev, BATCH_SIZE](auto& pf) mutable {

REQUIRE((*j2s[dev])++ < BATCH_SIZE);

REQUIRE(pf.token() % L == pf.line());

REQUIRE(source[dev_begins[dev] + pf.token()] + 1 == buffers[dev][pf.line()][pf.pipe() - 1]);

buffers[dev][pf.line()][pf.pipe()] = source[dev_begins[dev] + pf.token()] + 3;

}

);

// pipe 3

pipes[dev].emplace_back(

tf::PipeType::SERIAL, [&, dev, BATCH_SIZE](auto& pf) mutable {

REQUIRE(j3s[dev] < BATCH_SIZE);

REQUIRE(pf.token() % L == pf.line());

View remainder of file in raw view

taskflow/unittests/test_scalable_pipelines.cpp at task_isolation · ModuleWorks/taskflow · GitHub

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