std::transform_reduce
Defined in header <numeric>
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(1) | ||
template< class InputIt1, class InputIt2, class T > T transform_reduce( InputIt1 first1, InputIt1 last1, |
(since C++17) (until C++20) |
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template< class InputIt1, class InputIt2, class T > constexpr |
(since C++20) | |
(2) | ||
template< class InputIt1, class InputIt2, class T, |
(since C++17) (until C++20) |
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template< class InputIt1, class InputIt2, class T, |
(since C++20) | |
(3) | ||
template< class InputIt, class T, |
(since C++17) (until C++20) |
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template< class InputIt, class T, class BinaryReductionOp, |
(since C++20) | |
template< class ExecutionPolicy, class ForwardIt1, class ForwardIt2, class T > |
(4) | (since C++17) |
template< class ExecutionPolicy, class ForwardIt1, class ForwardIt2, class T, |
(5) | (since C++17) |
template< class ExecutionPolicy, class ForwardIt, class T, |
(6) | (since C++17) |
[
first,
last)
and the range starting at first2 and reduces the results (possibly permuted and aggregated in unspecified manner) along with the initial value init over reduce.[
first,
last)
and reduces the results (possibly permuted and aggregated in unspecified manner) along with the initial value init over reduce.
std::is_execution_policy_v<std::decay_t<ExecutionPolicy>> is true. |
(until C++20) |
std::is_execution_policy_v<std::remove_cvref_t<ExecutionPolicy>> is true. |
(since C++20) |
The behavior is non-deterministic if reduce is not associative or not commutative.
The behavior is undefined if reduce, or transform modifies any element or invalidates any iterator in the input ranges, including their end iterators.
Parameters
first, last | - | the range of elements to apply the algorithm to |
init | - | the initial value of the generalized sum |
policy | - | the execution policy to use. See execution policy for details. |
reduce | - | binary FunctionObject that will be applied in unspecified order to the results of transform, the results of other reduce and init. |
transform | - | unary or binary FunctionObject that will be applied to each element of the input range(s). The return type must be acceptable as input to reduce. |
Type requirements | ||
-T must meet the requirements of MoveConstructible in order to use overloads (3,6). and the result of the expressions reduce(init, transform(*first)), reduce(transform(*first), init), reduce(init, init), and reduce(transform(*first), transform(*first)) must be convertible to T.
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-T must meet the requirements of MoveConstructible in order to use overloads (2,5). and the result of the expressions reduce(init, transform(*first1, *first2)), reduce(transform(*first1, *first2), init), reduce(init, init), and reduce(transform(*first1, *first2), transform(*first1, *first2)) must be convertible to T.
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-InputIt must meet the requirements of LegacyInputIterator.
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-ForwardIt must meet the requirements of LegacyForwardIterator.
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Return value
where generalized sum GSUM(op, a
1, ..., a
N) is defined as follows:
- if N = 1, a
1 - if N > 1, op(GSUM(op, b
1, ..., b
K), GSUM(op, b
M, ..., b
N)) where
- b
1, ..., b
N may be any permutation of a1, ..., aN and - 1 < K + 1 = M ≤ N
- b
in other words, the results of transform or of reduce may be grouped and arranged in arbitrary order.
Complexity
Exceptions
The overloads with a template parameter named ExecutionPolicy
report errors as follows:
- If execution of a function invoked as part of the algorithm throws an exception and
ExecutionPolicy
is one of the standard policies, std::terminate is called. For any otherExecutionPolicy
, the behavior is implementation-defined. - If the algorithm fails to allocate memory, std::bad_alloc is thrown.
Notes
In the unary-binary overload (3,6), transform is not applied to init.
If first == last or first1 == last1, init is returned, unmodified.
Example
transform_reduce
can be used to parallelize std::inner_product. Some systems may need additional support to get advantages of parallel execution. E.g., on GNU/Linux, the Intel TBB be installed and -ltbb option be provided to gcc/clang compiler.
#if PARALLEL #include <execution> #define PAR std::execution::par, #else #define PAR #endif #include <algorithm> #include <functional> #include <iostream> #include <iterator> #include <locale> #include <numeric> #include <vector> // to parallelize non-associate accumulative operation, you'd better choose // transform_reduce instead of reduce; e.g., a + b * b != b + a * a void print_sum_squared(long const num) { std::cout.imbue(std::locale{"en_US.UTF8"}); std::cout << "num = " << num << '\n'; // create an immutable vector filled with pattern: 1,2,3,4, 1,2,3,4 ... const std::vector<long> v { [n = num * 4] { std::vector<long> v; v.reserve(n); std::generate_n(std::back_inserter(v), n, [i = 0]() mutable { return 1 + i++ % 4; }); return v; }()}; auto squared_sum = [](auto sum, auto val) { return sum + val * val; }; auto sum1 = std::accumulate(v.cbegin(), v.cend(), 0L, squared_sum); std::cout << "accumulate(): " << sum1 << '\n'; auto sum2 = std::reduce(PAR v.cbegin(), v.cend(), 0L, squared_sum); std::cout << "reduce(): " << sum2 << '\n'; auto sum3 = std::transform_reduce(PAR v.cbegin(), v.cend(), 0L, std::plus{}, [](auto val) { return val * val; }); std::cout << "transform_reduce(): " << sum3 << "\n\n"; } int main() { print_sum_squared(1); print_sum_squared(1'000); print_sum_squared(1'000'000); }
Possible output:
num = 1 accumulate(): 30 reduce(): 30 transform_reduce(): 30 num = 1,000 accumulate(): 30,000 reduce(): -7,025,681,278,312,630,348 transform_reduce(): 30,000 num = 1,000,000 accumulate(): 30,000,000 reduce(): -5,314,886,882,370,003,032 transform_reduce(): 30,000,000 // Compile-options for parallel execution on POSIX: // g++ -O2 -std=c++17 -Wall -Wextra -pedantic -DPARALLEL ./example.cpp -ltbb -o tr; ./tr
See also
sums up or folds a range of elements (function template) | |
applies a function to a range of elements, storing results in a destination range (function template) | |
(C++17) |
similar to std::accumulate, except out of order (function template) |