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Copy pathgenerate.hpp
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144 lines (126 loc) · 4.5 KB
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#pragma once
#include "../taskflow.hpp"
#include <iterator>
#include <type_traits>
namespace tf {
template <typename B, typename E, typename G, PartitionerLike P = DefaultPartitioner>
auto make_generate_task(B first, E last, G gen, P part = P()) {
using B_t = std::decay_t<std::unwrap_ref_decay_t<B>>;
using E_t = std::decay_t<std::unwrap_ref_decay_t<E>>;
return [=](Runtime &rt) mutable {
B_t beg = first;
E_t end = last;
size_t W = rt.executor().num_workers();
size_t N = std::distance(beg, end);
// the workload should be sequential
if (W <= 1 || N <= part.chunk_size()) {
part([=]() mutable { std::generate(beg, end, gen); })();
return;
}
// use no more workers than the iteration count
if (N < W) {
W = N;
}
// static partitioner
if constexpr (part.type() == PartitionerType::STATIC) {
for (size_t w = 0, curr_b = 0; w < W && curr_b < N;) {
auto chunk_size = part.adjusted_chunk_size(N, W, w);
auto task = part([=]() mutable {
part.loop(
N, W, curr_b, chunk_size,
[=, prev_e = size_t{0}](size_t part_b, size_t part_e) mutable {
std::advance(beg, part_b - prev_e);
for (size_t x = part_b; x < part_e; x++) {
*beg++ = gen();
}
prev_e = part_e;
});
});
(++w == W || (curr_b += chunk_size) >= N) ? task()
: rt.silent_async(task);
}
}
// dynamic partitioner
else {
auto next = std::make_shared<std::atomic<size_t>>(0);
for (size_t w = 0; w < W;) {
auto task = part([=]() mutable {
part.loop(
N, W, *next,
[=, prev_e = size_t{0}](size_t part_b, size_t part_e) mutable {
std::advance(beg, part_b - prev_e);
for (size_t x = part_b; x < part_e; x++) {
*beg++ = gen();
}
prev_e = part_e;
});
});
(++w == W) ? task() : rt.silent_async(task);
}
}
};
}
template <typename B, std::integral C, typename G, PartitionerLike P = DefaultPartitioner>
auto make_generate_n_task(B first, C count, G gen, P part = P()) {
using B_t = std::decay_t<std::unwrap_ref_decay_t<B>>;
return [=](Runtime &rt) mutable {
B_t beg = first;
size_t W = rt.executor().num_workers();
size_t N = count;
// the workload should be sequential
if (W <= 1 || N <= part.chunk_size()) {
part([=]() mutable { std::generate_n(beg, count, gen); })();
return;
}
// use no more workers than the iteration count
if (N < W) {
W = N;
}
// static partitioner
if constexpr (part.type() == PartitionerType::STATIC) {
for (size_t w = 0, curr_b = 0; w < W && curr_b < N;) {
auto chunk_size = part.adjusted_chunk_size(N, W, w);
auto task = part([=]() mutable {
part.loop(
N, W, curr_b, chunk_size,
[=, prev_e = size_t{0}](size_t part_b, size_t part_e) mutable {
std::advance(beg, part_b - prev_e);
for (size_t x = part_b; x < part_e; x++) {
*beg++ = gen();
}
prev_e = part_e;
});
});
(++w == W || (curr_b += chunk_size) >= N) ? task()
: rt.silent_async(task);
}
}
// dynamic partitioner
else {
auto next = std::make_shared<std::atomic<size_t>>(0);
for (size_t w = 0; w < W;) {
auto task = part([=]() mutable {
part.loop(
N, W, *next,
[=, prev_e = size_t{0}](size_t part_b, size_t part_e) mutable {
std::advance(beg, part_b - prev_e);
for (size_t x = part_b; x < part_e; x++) {
*beg++ = gen();
}
prev_e = part_e;
});
});
(++w == W) ? task() : rt.silent_async(task);
}
}
};
}
template <typename B, typename E, typename G, PartitionerLike P>
Task FlowBuilder::generate(B first, E last, G gen, P part) {
return emplace(make_generate_task(first, last, gen, part));
}
template <typename B, std::integral C, typename G, PartitionerLike P>
Task FlowBuilder::generate_n(B first, C count, G gen, P part) {
return emplace(make_generate_n_task(first, count, gen, part));
}
} // namespace tf ---------------------------------------------------------------------------------