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#
define
DOCTEST_CONFIG_IMPLEMENT_WITH_MAIN
#
include
<
doctest.h
>
#
include
<
taskflow/taskflow.hpp
>
#
include
<
taskflow/algorithm/reduce.hpp
>
//
----------------------------------------------------------------------------
//
Data Type
//
----------------------------------------------------------------------------
struct
MoveOnly1
{
int
a {-
1234
};
MoveOnly1
() =
default
;
MoveOnly1
(
const
MoveOnly1&) =
delete
;
MoveOnly1
(MoveOnly1&&) =
default
;
MoveOnly1&
operator
= (
const
MoveOnly1& rhs) =
delete
;
MoveOnly1&
operator
= (MoveOnly1&& rhs) =
default
;
};
struct
MoveOnly2
{
int
b {-
1234
};
MoveOnly2
() =
default
;
MoveOnly2
(
const
MoveOnly2&) =
delete
;
MoveOnly2
(MoveOnly2&&) =
default
;
MoveOnly2&
operator
= (
const
MoveOnly2& rhs) =
delete
;
MoveOnly2&
operator
= (MoveOnly2&& rhs) =
default
;
};
//
--------------------------------------------------------
//
Testcase: reduce
//
--------------------------------------------------------
template
<
typename
P>
void
reduce
(
unsigned
W) {
tf::Executor
executor
(W);
tf::Taskflow taskflow;
std::vector<
int
>
vec
(
1000
);
for
(
auto
& i : vec) i = ::
rand
() %
100
-
50
;
for
(
size_t
n=
1
; n<vec.
size
(); n++) {
for
(
size_t
c : {
0
,
1
,
3
,
7
,
99
}) {
int
smin = std::numeric_limits<
int
>::
max
();
int
pmin = std::numeric_limits<
int
>::
max
();
auto
beg = vec.
end
();
auto
end = vec.
end
();
taskflow.
clear
();
auto
stask = taskflow.
emplace
([&](){
beg = vec.
begin
();
end = vec.
begin
() + n;
for
(
auto
itr = beg; itr != end; itr++) {
smin =
std::min
(*itr, smin);
}
});
tf::Task ptask;
ptask = taskflow.
reduce
(
std::ref
(beg),
std::ref
(end), pmin, [](
int
& l,
int
& r){
return
std::min
(l, r);
},
P
(c));
stask.
precede
(ptask);
executor.
run
(taskflow).
wait
();
REQUIRE
(smin != std::numeric_limits<
int
>::
max
());
REQUIRE
(pmin != std::numeric_limits<
int
>::
max
());
REQUIRE
(smin == pmin);
}
}
}
//
guided
TEST_CASE
(
"
Reduce.Guided.1thread
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
1
);
}
TEST_CASE
(
"
Reduce.Guided.2threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
2
);
}
TEST_CASE
(
"
Reduce.Guided.3threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
3
);
}
TEST_CASE
(
"
Reduce.Guided.4threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
4
);
}
TEST_CASE
(
"
Reduce.Guided.5threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
5
);
}
TEST_CASE
(
"
Reduce.Guided.6threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
6
);
}
TEST_CASE
(
"
Reduce.Guided.7threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
7
);
}
TEST_CASE
(
"
Reduce.Guided.8threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
8
);
}
TEST_CASE
(
"
Reduce.Guided.9threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
9
);
}
TEST_CASE
(
"
Reduce.Guided.10threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
10
);
}
TEST_CASE
(
"
Reduce.Guided.11threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
11
);
}
TEST_CASE
(
"
Reduce.Guided.12threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::GuidedPartitioner>(
12
);
}
//
dynamic
TEST_CASE
(
"
Reduce.Dynamic.1thread
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
1
);
}
TEST_CASE
(
"
Reduce.Dynamic.2threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
2
);
}
TEST_CASE
(
"
Reduce.Dynamic.3threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
3
);
}
TEST_CASE
(
"
Reduce.Dynamic.4threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
4
);
}
TEST_CASE
(
"
Reduce.Dynamic.5threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
5
);
}
TEST_CASE
(
"
Reduce.Dynamic.6threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
6
);
}
TEST_CASE
(
"
Reduce.Dynamic.7threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
7
);
}
TEST_CASE
(
"
Reduce.Dynamic.8threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
8
);
}
TEST_CASE
(
"
Reduce.Dynamic.9threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
9
);
}
TEST_CASE
(
"
Reduce.Dynamic.10threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
10
);
}
TEST_CASE
(
"
Reduce.Dynamic.11threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
11
);
}
TEST_CASE
(
"
Reduce.Dynamic.12threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::DynamicPartitioner>(
12
);
}
//
static
TEST_CASE
(
"
Reduce.Static.1thread
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
1
);
}
TEST_CASE
(
"
Reduce.Static.2threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
2
);
}
TEST_CASE
(
"
Reduce.Static.3threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
3
);
}
TEST_CASE
(
"
Reduce.Static.4threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
4
);
}
TEST_CASE
(
"
Reduce.Static.5threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
5
);
}
TEST_CASE
(
"
Reduce.Static.6threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
6
);
}
TEST_CASE
(
"
Reduce.Static.7threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
7
);
}
TEST_CASE
(
"
Reduce.Static.8threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
8
);
}
TEST_CASE
(
"
Reduce.Static.9threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
9
);
}
TEST_CASE
(
"
Reduce.Static.10threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
10
);
}
TEST_CASE
(
"
Reduce.Static.11threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
11
);
}
TEST_CASE
(
"
Reduce.Static.12threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::StaticPartitioner>(
12
);
}
//
random
TEST_CASE
(
"
Reduce.Random.1thread
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
1
);
}
TEST_CASE
(
"
Reduce.Random.2threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
2
);
}
TEST_CASE
(
"
Reduce.Random.3threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
3
);
}
TEST_CASE
(
"
Reduce.Random.4threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
4
);
}
TEST_CASE
(
"
Reduce.Random.5threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
5
);
}
TEST_CASE
(
"
Reduce.Random.6threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
6
);
}
TEST_CASE
(
"
Reduce.Random.7threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
7
);
}
TEST_CASE
(
"
Reduce.Random.8threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
8
);
}
TEST_CASE
(
"
Reduce.Random.9threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
9
);
}
TEST_CASE
(
"
Reduce.Random.10threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
10
);
}
TEST_CASE
(
"
Reduce.Random.11threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
11
);
}
TEST_CASE
(
"
Reduce.Random.12threads
"
*
doctest::timeout
(
300
)) {
reduce<tf::RandomPartitioner>(
12
);
}
//
--------------------------------------------------------
//
Testcase: reduce_sum
//
--------------------------------------------------------
template
<
typename
P>
void
reduce_sum
(
unsigned
W) {
tf::Executor
executor
(W);
tf::Taskflow taskflow;
std::vector<
int
>
vec
(
1000
);
for
(
auto
& i : vec) i = ::
rand
() %
100
-
50
;
for
(
size_t
n=
1
; n<vec.
size
(); n++) {
for
(
size_t
c : {
0
,
1
,
3
,
7
,
99
}) {
auto
sum =
0
;
auto
sol =
0
;
auto
beg = vec.
end
();
auto
end = vec.
end
();
taskflow.
clear
();
auto
stask = taskflow.
emplace
([&](){
beg = vec.
begin
();
end = vec.
begin
() + n;
for
(
auto
itr = beg; itr != end; itr++) {
sum += *itr;
}
});
tf::Task ptask;
ptask = taskflow.
reduce
(
std::ref
(beg),
std::ref
(end), sol, [](
int
l,
int
r){
return
l + r;
},
P
(c));
stask.
precede
(ptask);
executor.
run
(taskflow).
wait
();
REQUIRE
(sol == sum);
}
}
}
//
guided
TEST_CASE
(
"
ReduceSum.Guided.1thread
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
1
);
}
TEST_CASE
(
"
ReduceSum.Guided.2threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
2
);
}
TEST_CASE
(
"
ReduceSum.Guided.3threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
3
);
}
TEST_CASE
(
"
ReduceSum.Guided.4threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
4
);
}
TEST_CASE
(
"
ReduceSum.Guided.5threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
5
);
}
TEST_CASE
(
"
ReduceSum.Guided.6threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
6
);
}
TEST_CASE
(
"
ReduceSum.Guided.7threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
7
);
}
TEST_CASE
(
"
ReduceSum.Guided.8threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
8
);
}
TEST_CASE
(
"
ReduceSum.Guided.9threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
9
);
}
TEST_CASE
(
"
ReduceSum.Guided.10threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
10
);
}
TEST_CASE
(
"
ReduceSum.Guided.11threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
11
);
}
TEST_CASE
(
"
ReduceSum.Guided.12threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::GuidedPartitioner>(
12
);
}
//
dynamic
TEST_CASE
(
"
ReduceSum.Dynamic.1thread
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
1
);
}
TEST_CASE
(
"
ReduceSum.Dynamic.2threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
2
);
}
TEST_CASE
(
"
ReduceSum.Dynamic.3threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
3
);
}
TEST_CASE
(
"
ReduceSum.Dynamic.4threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
4
);
}
TEST_CASE
(
"
ReduceSum.Dynamic.5threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
5
);
}
TEST_CASE
(
"
ReduceSum.Dynamic.6threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
6
);
}
TEST_CASE
(
"
ReduceSum.Dynamic.7threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
7
);
}
TEST_CASE
(
"
ReduceSum.Dynamic.8threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
8
);
}
TEST_CASE
(
"
ReduceSum.Dynamic.9threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
9
);
}
TEST_CASE
(
"
ReduceSum.Dynamic.10threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
10
);
}
TEST_CASE
(
"
ReduceSum.Dynamic.11threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
11
);
}
TEST_CASE
(
"
ReduceSum.Dynamic.12threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::DynamicPartitioner>(
12
);
}
//
static
TEST_CASE
(
"
ReduceSum.Static.1thread
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
1
);
}
TEST_CASE
(
"
ReduceSum.Static.2threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
2
);
}
TEST_CASE
(
"
ReduceSum.Static.3threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
3
);
}
TEST_CASE
(
"
ReduceSum.Static.4threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
4
);
}
TEST_CASE
(
"
ReduceSum.Static.5threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
5
);
}
TEST_CASE
(
"
ReduceSum.Static.6threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
6
);
}
TEST_CASE
(
"
ReduceSum.Static.7threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
7
);
}
TEST_CASE
(
"
ReduceSum.Static.8threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
8
);
}
TEST_CASE
(
"
ReduceSum.Static.9threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
9
);
}
TEST_CASE
(
"
ReduceSum.Static.10threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
10
);
}
TEST_CASE
(
"
ReduceSum.Static.11threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
11
);
}
TEST_CASE
(
"
ReduceSum.Static.12threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::StaticPartitioner>(
12
);
}
//
random
TEST_CASE
(
"
ReduceSum.Random.1thread
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
1
);
}
TEST_CASE
(
"
ReduceSum.Random.2threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
2
);
}
TEST_CASE
(
"
ReduceSum.Random.3threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
3
);
}
TEST_CASE
(
"
ReduceSum.Random.4threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
4
);
}
TEST_CASE
(
"
ReduceSum.Random.5threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
5
);
}
TEST_CASE
(
"
ReduceSum.Random.6threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
6
);
}
TEST_CASE
(
"
ReduceSum.Random.7threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
7
);
}
TEST_CASE
(
"
ReduceSum.Random.8threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
8
);
}
TEST_CASE
(
"
ReduceSum.Random.9threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
9
);
}
TEST_CASE
(
"
ReduceSum.Random.10threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
10
);
}
TEST_CASE
(
"
ReduceSum.Random.11threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
11
);
}
TEST_CASE
(
"
ReduceSum.Random.12threads
"
*
doctest::timeout
(
300
)) {
reduce_sum<tf::RandomPartitioner>(
12
);
}
//
----------------------------------------------------------------------------
//
transform_reduce
//
----------------------------------------------------------------------------
class
Data
{
private:
int
_v {::
rand
() %
100
-
50
};
public:
int
get
()
const
{
return
_v; }
};
template
<
typename
P>
void
transform_reduce
(
unsigned
W) {
tf::Executor
executor
(W);
tf::Taskflow taskflow;
std::vector<Data>
vec
(
1000
);
for
(
size_t
n=
1
; n<vec.
size
(); n++) {
for
(
size_t
c : {
0
,
1
,
3
,
7
,
99
}) {
int
smin = std::numeric_limits<
int
>::
max
();
int
pmin = std::numeric_limits<
int
>::
max
();
auto
beg = vec.
end
();
auto
end = vec.
end
();
taskflow.
clear
();
auto
stask = taskflow.
emplace
([&](){
beg = vec.
begin
();
end = vec.
begin
() + n;
for
(
auto
itr = beg; itr != end; itr++) {
smin =
std::min
(itr->
get
(), smin);
}
});
tf::Task ptask;
ptask = taskflow.
transform_reduce
(
std::ref
(beg),
std::ref
(end), pmin,
[] (
int
l,
int
r) {
return
std::min
(l, r); },
[] (
const
Data& data) {
return
data.
get
(); },
P
(c)
);
stask.
precede
(ptask);
executor.
run
(taskflow).
wait
();
REQUIRE
(smin != std::numeric_limits<
int
>::
max
());
REQUIRE
(pmin != std::numeric_limits<
int
>::
max
());
REQUIRE
(smin == pmin);
}
}
}
//
guided
TEST_CASE
(
"
TransformReduce.Guided.1thread
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
1
);
}
TEST_CASE
(
"
TransformReduce.Guided.2threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
2
);
}
TEST_CASE
(
"
TransformReduce.Guided.3threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
3
);
}
TEST_CASE
(
"
TransformReduce.Guided.4threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
4
);
}
TEST_CASE
(
"
TransformReduce.Guided.5threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
5
);
}
TEST_CASE
(
"
TransformReduce.Guided.6threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
6
);
}
TEST_CASE
(
"
TransformReduce.Guided.7threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
7
);
}
TEST_CASE
(
"
TransformReduce.Guided.8threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
8
);
}
TEST_CASE
(
"
TransformReduce.Guided.9threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
9
);
}
TEST_CASE
(
"
TransformReduce.Guided.10threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
10
);
}
TEST_CASE
(
"
TransformReduce.Guided.11threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
11
);
}
TEST_CASE
(
"
TransformReduce.Guided.12threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::GuidedPartitioner>(
12
);
}
//
dynamic
TEST_CASE
(
"
TransformReduce.Dynamic.1thread
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
1
);
}
TEST_CASE
(
"
TransformReduce.Dynamic.2threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
2
);
}
TEST_CASE
(
"
TransformReduce.Dynamic.3threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
3
);
}
TEST_CASE
(
"
TransformReduce.Dynamic.4threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
4
);
}
TEST_CASE
(
"
TransformReduce.Dynamic.5threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
5
);
}
TEST_CASE
(
"
TransformReduce.Dynamic.6threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
6
);
}
TEST_CASE
(
"
TransformReduce.Dynamic.7threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
7
);
}
TEST_CASE
(
"
TransformReduce.Dynamic.8threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
8
);
}
TEST_CASE
(
"
TransformReduce.Dynamic.9threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
9
);
}
TEST_CASE
(
"
TransformReduce.Dynamic.10threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
10
);
}
TEST_CASE
(
"
TransformReduce.Dynamic.11threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
11
);
}
TEST_CASE
(
"
TransformReduce.Dynamic.12threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::DynamicPartitioner>(
12
);
}
//
static
TEST_CASE
(
"
TransformReduce.Static.1thread
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
1
);
}
TEST_CASE
(
"
TransformReduce.Static.2threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
2
);
}
TEST_CASE
(
"
TransformReduce.Static.3threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
3
);
}
TEST_CASE
(
"
TransformReduce.Static.4threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
4
);
}
TEST_CASE
(
"
TransformReduce.Static.5threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
5
);
}
TEST_CASE
(
"
TransformReduce.Static.6threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
6
);
}
TEST_CASE
(
"
TransformReduce.Static.7threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
7
);
}
TEST_CASE
(
"
TransformReduce.Static.8threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
8
);
}
TEST_CASE
(
"
TransformReduce.Static.9threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
9
);
}
TEST_CASE
(
"
TransformReduce.Static.10threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
10
);
}
TEST_CASE
(
"
TransformReduce.Static.11threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
11
);
}
TEST_CASE
(
"
TransformReduce.Static.12threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::StaticPartitioner>(
12
);
}
//
random
TEST_CASE
(
"
TransformReduce.Random.1thread
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
1
);
}
TEST_CASE
(
"
TransformReduce.Random.2threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
2
);
}
TEST_CASE
(
"
TransformReduce.Random.3threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
3
);
}
TEST_CASE
(
"
TransformReduce.Random.4threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
4
);
}
TEST_CASE
(
"
TransformReduce.Random.5threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
5
);
}
TEST_CASE
(
"
TransformReduce.Random.6threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
6
);
}
TEST_CASE
(
"
TransformReduce.Random.7threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
7
);
}
TEST_CASE
(
"
TransformReduce.Random.8threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
8
);
}
TEST_CASE
(
"
TransformReduce.Random.9threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
9
);
}
TEST_CASE
(
"
TransformReduce.Random.10threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
10
);
}
TEST_CASE
(
"
TransformReduce.Random.11threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
11
);
}
TEST_CASE
(
"
TransformReduce.Random.12threads
"
*
doctest::timeout
(
300
)) {
transform_reduce<tf::RandomPartitioner>(
12
);
}
//
----------------------------------------------------------------------------
//
Transform & Reduce on Movable Data
//
----------------------------------------------------------------------------
template
<
typename
P>
void
move_only_transform_reduce
(
unsigned
W) {
tf::Executor
executor
(W);
tf::Taskflow taskflow;
for
(
size_t
c : {
0
,
1
,
3
,
7
,
99
}) {
P
partitioner
(c);
taskflow.
clear
();
const
size_t
N =
100000
;
std::vector<MoveOnly1>
vec
(N);
for
(
auto
& i : vec) i.
a
=
1
;
MoveOnly2 res;
res.
b
=
100
;
taskflow.
transform_reduce
(vec.
begin
(), vec.
end
(), res,
[](MoveOnly2 m1, MoveOnly2 m2) {
MoveOnly2 res;
res.
b
= m1.
b
+ m2.
b
;
return
res;
},
[](
const
MoveOnly1& m) {
MoveOnly2 n;
n.
b
= m.
a
;
return
n;
},
partitioner
);
executor.
run
(taskflow).
wait
();
REQUIRE
(res.
b
== N +
100
);
//
change vec data
taskflow.
clear
();
res.
b
=
0
;
taskflow.
transform_reduce
(vec.
begin
(), vec.
end
(), res,
[](MoveOnly2&& m1, MoveOnly2&& m2) {
MoveOnly2 res;
res.
b
= m1.
b
+ m2.
b
;
return
res;
},
[](MoveOnly1& m) {
MoveOnly2 n;
n.
b
= m.
a
;
m.
a
= -
7
;
return
n;
},
partitioner
);
executor.
run
(taskflow).
wait
();
REQUIRE
(res.
b
== N);
for
(
const
auto
& i : vec) {
REQUIRE
(i.
a
== -
7
);
}
//
reduce
taskflow.
clear
();
MoveOnly1 red;
red.
a
=
0
;
taskflow.
reduce
(vec.
begin
(), vec.
end
(), red,
[](MoveOnly1& m1, MoveOnly1& m2){
MoveOnly1 res;
res.
a
= m1.
a
+ m2.
a
;
return
res;
},
partitioner
);
executor.
run
(taskflow).
wait
();
REQUIRE
(red.
a
== -
7
*N);
taskflow.
clear
();
red.
a
=
0
;
taskflow.
reduce
(vec.
begin
(), vec.
end
(), red,
[](
const
MoveOnly1& m1,
const
MoveOnly1& m2){
MoveOnly1 res;
res.
a
= m1.
a
+ m2.
a
;
return
res;
},
partitioner
);
executor.
run
(taskflow).
wait
();
REQUIRE
(red.
a
== -
7
*N);
}
}
//
static
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Static.1thread
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::StaticPartitioner>(
1
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Static.2threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::StaticPartitioner>(
2
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Static.3threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::StaticPartitioner>(
3
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Static.4threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::StaticPartitioner>(
4
);
}
//
dynamic
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Guided.1thread
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::GuidedPartitioner>(
1
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Guided.2threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::GuidedPartitioner>(
2
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Guided.3threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::GuidedPartitioner>(
3
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Guided.4threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::GuidedPartitioner>(
4
);
}
//
guided
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Guided.1thread
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::GuidedPartitioner>(
1
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Guided.2threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::GuidedPartitioner>(
2
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Guided.3threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::GuidedPartitioner>(
3
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Guided.4threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::GuidedPartitioner>(
4
);
}
//
random
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Random.1thread
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::RandomPartitioner>(
1
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Random.2threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::RandomPartitioner>(
2
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Random.3threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::RandomPartitioner>(
3
);
}
TEST_CASE
(
"
TransformReduce.MoveOnlyData.Random.4threads
"
*
doctest::timeout
(
300
)) {
move_only_transform_reduce<tf::RandomPartitioner>(
4
);
}
//
----------------------------------------------------------------------------
//
transform_reduce_sum
//
----------------------------------------------------------------------------
template
<
typename
P>
void
transform_reduce_sum
(
unsigned
W) {
tf::Executor
executor
(W);
tf::Taskflow taskflow;
std::vector<Data>
vec
(
1000
);
for
(
size_t
n=
1
; n<vec.
size
(); n++) {
for
(
size_t
c : {
0
,
1
,
3
,
7
,
99
}) {
auto
sum =
100
;
auto
sol =
100
;
auto
beg = vec.
end
();
auto
end = vec.
end
();
taskflow.
clear
();
auto
stask = taskflow.
emplace
([&](){
beg = vec.
begin
();
end = vec.
begin
() + n;
for
(
auto
itr = beg; itr != end; itr++) {
sum += itr->
get
();
}
});
tf::Task ptask;
ptask = taskflow.
transform_reduce
(
std::ref
(beg),
std::ref
(end), sol,
[] (
int
l,
int
r) {
return
l + r; },
[] (
const
Data& data) {
return
data.
get
(); },
P
(c)
);
stask.
precede
(ptask);
executor.
run
(taskflow).
wait
();
REQUIRE
(sol == sum);
}
}
}
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