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Difference between revisions of "cpp/algorithm/reduce"

From cppreference.com
< cpp‎ | algorithm
m (Top: unifying fmt: spaces)
m (Example: fmt + made the example executable online)
Line 91: Line 91:
 
{{example|side-by-side comparison between reduce and {{lc|std::accumulate}}:
 
{{example|side-by-side comparison between reduce and {{lc|std::accumulate}}:
 
|code=
 
|code=
#include <chrono>
+
#if PARALLEL
 
#include <execution>
 
#include <execution>
 +
#define SEQ std::execution::seq,
 +
#define PAR std::execution::par,
 +
#else
 +
#define SEQ
 +
#define PAR
 +
#endif
 +
 +
#include <chrono>
 
#include <iomanip>
 
#include <iomanip>
 
#include <iostream>
 
#include <iostream>
Line 101: Line 109:
 
int main()
 
int main()
 
{
 
{
 +
    std::cout.imbue(std::locale("en_US.UTF-8"));
 +
    std::cout << std::fixed << std::setprecision(1);
 
     auto eval = [](auto fun) {
 
     auto eval = [](auto fun) {
 
         const auto t1 = std::chrono::high_resolution_clock::now();
 
         const auto t1 = std::chrono::high_resolution_clock::now();
Line 106: Line 116:
 
         const auto t2 = std::chrono::high_resolution_clock::now();
 
         const auto t2 = std::chrono::high_resolution_clock::now();
 
         const std::chrono::duration<double, std::milli> ms = t2 - t1;
 
         const std::chrono::duration<double, std::milli> ms = t2 - t1;
         std::cout << std::fixed << std::setprecision(1) << name << " result "
+
         std::cout << std::setw(28) << std::left << name << "sum: "
                   << result << " took " << ms.count() << " ms\n";
+
                   << result << "\t time: " << ms.count() << " ms\n";
 
     };
 
     };
 
     {
 
     {
Line 115: Line 125:
 
             std::accumulate(v.cbegin(), v.cend(), 0.0)}; } );
 
             std::accumulate(v.cbegin(), v.cend(), 0.0)}; } );
 
         eval([&v]{ return std::pair{"std::reduce (seq, double)",
 
         eval([&v]{ return std::pair{"std::reduce (seq, double)",
             std::reduce(std::execution::seq, v.cbegin(), v.cend())}; } );
+
             std::reduce(SEQ v.cbegin(), v.cend())}; } );
 
         eval([&v]{ return std::pair{"std::reduce (par, double)",
 
         eval([&v]{ return std::pair{"std::reduce (par, double)",
             std::reduce(std::execution::par, v.cbegin(), v.cend())}; } );
+
             std::reduce(PAR v.cbegin(), v.cend())}; } );
     }{
+
     }
 +
    {
 
         const std::vector<long> v(100'000'007, 1);
 
         const std::vector<long> v(100'000'007, 1);
  
Line 124: Line 135:
 
             std::accumulate(v.cbegin(), v.cend(), 0)}; } );
 
             std::accumulate(v.cbegin(), v.cend(), 0)}; } );
 
         eval([&v]{ return std::pair{"std::reduce (seq, long)",
 
         eval([&v]{ return std::pair{"std::reduce (seq, long)",
             std::reduce(std::execution::seq, v.cbegin(), v.cend())}; } );
+
             std::reduce(SEQ v.cbegin(), v.cend())}; } );
 
         eval([&v]{ return std::pair{"std::reduce (par, long)",
 
         eval([&v]{ return std::pair{"std::reduce (par, long)",
             std::reduce(std::execution::par, v.cbegin(), v.cend())}; } );
+
             std::reduce(PAR v.cbegin(), v.cend())}; } );
 
     }
 
     }
 
}
 
}
 
|p=true
 
|p=true
 
|output=
 
|output=
std::accumulate (double) result 10000000.7 took 163.6 ms
+
// POSIX: g++ -std=c++23 ./example.cpp -ltbb -O3; ./a.out
std::reduce (seq, double) result 10000000.7 took 162.9 ms
+
std::accumulate (double)   sum: 10,000,000.7   time: 356.9 ms
std::reduce (par, double) result 10000000.7 took 97.5 ms
+
std::reduce (seq, double)   sum: 10,000,000.7   time: 140.1 ms
std::accumulate (long) result 100000007 took 62.3 ms
+
std::reduce (par, double)   sum: 10,000,000.7   time: 140.1 ms
std::reduce (seq, long) result 100000007 took 64.3 ms
+
std::accumulate (long)     sum: 100,000,007    time: 46.0 ms
std::reduce (par, long) result 100000007 took 49.0 ms
+
std::reduce (seq, long)     sum: 100,000,007    time: 67.3 ms
 +
std::reduce (par, long)     sum: 100,000,007    time: 63.3 ms
 +
 
 +
// POSIX: g++ -std=c++23 ./example.cpp -ltbb -O3 -DPARALLEL; ./a.out
 +
std::accumulate (double)    sum: 10,000,000.7    time: 353.4 ms
 +
std::reduce (seq, double)  sum: 10,000,000.7    time: 140.7 ms
 +
std::reduce (par, double)  sum: 10,000,000.7    time: 24.7 ms
 +
std::accumulate (long)      sum: 100,000,007    time: 42.4 ms
 +
std::reduce (seq, long)    sum: 100,000,007    time: 52.0 ms
 +
std::reduce (par, long)    sum: 100,000,007    time: 23.1 ms
 
}}
 
}}
  

Revision as of 08:46, 8 September 2022

 
 
Algorithm library
Constrained algorithms and algorithms on ranges (C++20)
Constrained algorithms, e.g. ranges::copy, ranges::sort, ...
Execution policies (C++17)
Non-modifying sequence operations
Batch operations
(C++17)
Search operations
(C++11)                (C++11)(C++11)

Modifying sequence operations
Copy operations
(C++11)
(C++11)
Swap operations
Transformation operations
Generation operations
Removing operations
Order-changing operations
(until C++17)(C++11)
(C++20)(C++20)
Sampling operations
(C++17)

Sorting and related operations
Partitioning operations
Sorting operations
Binary search operations
(on partitioned ranges)
Set operations (on sorted ranges)
Merge operations (on sorted ranges)
Heap operations
Minimum/maximum operations
(C++11)
(C++17)
Lexicographical comparison operations
Permutation operations
C library
Numeric operations
Operations on uninitialized memory
 
Defined in header <numeric>
(1)
template< class InputIt >

typename std::iterator_traits<InputIt>::value_type

    reduce( InputIt first, InputIt last );
(since C++17)
(until C++20)
template< class InputIt >

constexpr typename std::iterator_traits<InputIt>::value_type

    reduce( InputIt first, InputIt last );
(since C++20)
template< class ExecutionPolicy, class ForwardIt >

typename std::iterator_traits<ForwardIt>::value_type
    reduce( ExecutionPolicy&& policy,

            ForwardIt first, ForwardIt last );
(2) (since C++17)
(3)
template< class InputIt, class T >
T reduce( InputIt first, InputIt last, T init );
(since C++17)
(until C++20)
template< class InputIt, class T >
constexpr T reduce( InputIt first, InputIt last, T init );
(since C++20)
template< class ExecutionPolicy, class ForwardIt, class T >

T reduce( ExecutionPolicy&& policy,

          ForwardIt first, ForwardIt last, T init );
(4) (since C++17)
(5)
template< class InputIt, class T, class BinaryOp >
T reduce( InputIt first, InputIt last, T init, BinaryOp binary_op );
(since C++17)
(until C++20)
template< class InputIt, class T, class BinaryOp >
constexpr T reduce( InputIt first, InputIt last, T init, BinaryOp binary_op );
(since C++20)
template< class ExecutionPolicy, class ForwardIt, class T, class BinaryOp >

T reduce( ExecutionPolicy&& policy,

          ForwardIt first, ForwardIt last, T init, BinaryOp binary_op );
(6) (since C++17)
1) same as reduce(first, last, typename std::iterator_traits<InputIt>::value_type{})
3) same as reduce(first, last, init, std::plus<>())
5) Reduces the range [first; last), possibly permuted and aggregated in unspecified manner, along with the initial value init over binary_op.
2,4,6) Same as (1,3,5), but executed according to policy. These overloads participate in overload resolution only if

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 binary_op is not associative or not commutative.

The behavior is undefined if binary_op modifies any element or invalidates any iterator in [first; last], including the end iterator.

Contents

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.
binary_op - binary FunctionObject that will be applied in unspecified order to the result of dereferencing the input iterators, the results of other binary_op and init.
Type requirements
-
InputIt must meet the requirements of LegacyInputIterator.
-
ForwardIt must meet the requirements of LegacyForwardIterator.
-
T must meet the requirements of MoveConstructible. and binary_op(init, *first), binary_op(*first, init), binary_op(init, init), and binary_op(*first, *first) must be convertible to T.

Return value

Generalized sum of init and *first, *(first+1), ... *(last-1) over binary_op,

where generalized sum GSUM(op, a1, ..., aN) is defined as follows:

  • if N=1, a1
  • if N > 1, op(GSUM(op, b1, ..., bK), GSUM(op, bM, ..., bN)) where
  • b1, ..., bN may be any permutation of a1, ..., aN and
  • 1 < K+1 = M ≤ N

in other words, reduce behaves like std::accumulate except the elements of the range may be grouped and rearranged in arbitrary order

Complexity

O(last - first) applications of binary_op.

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 other ExecutionPolicy, the behavior is implementation-defined.
  • If the algorithm fails to allocate memory, std::bad_alloc is thrown.

Notes

If the range is empty, init is returned, unmodified

Example

side-by-side comparison between reduce and std::accumulate:

#if PARALLEL
#include <execution>
#define SEQ std::execution::seq,
#define PAR std::execution::par,
#else
#define SEQ
#define PAR
#endif
 
#include <chrono>
#include <iomanip>
#include <iostream>
#include <numeric>
#include <utility>
#include <vector>
 
int main()
{
    std::cout.imbue(std::locale("en_US.UTF-8"));
    std::cout << std::fixed << std::setprecision(1);
    auto eval = [](auto fun) {
        const auto t1 = std::chrono::high_resolution_clock::now();
        const auto [name, result] = fun();
        const auto t2 = std::chrono::high_resolution_clock::now();
        const std::chrono::duration<double, std::milli> ms = t2 - t1;
        std::cout << std::setw(28) << std::left << name << "sum: "
                  << result << "\t time: " << ms.count() << " ms\n";
    };
    {
        const std::vector<double> v(100'000'007, 0.1);
 
        eval([&v]{ return std::pair{"std::accumulate (double)",
            std::accumulate(v.cbegin(), v.cend(), 0.0)}; } );
        eval([&v]{ return std::pair{"std::reduce (seq, double)",
            std::reduce(SEQ v.cbegin(), v.cend())}; } );
        eval([&v]{ return std::pair{"std::reduce (par, double)",
            std::reduce(PAR v.cbegin(), v.cend())}; } );
    }
    {
        const std::vector<long> v(100'000'007, 1);
 
        eval([&v]{ return std::pair{"std::accumulate (long)",
            std::accumulate(v.cbegin(), v.cend(), 0)}; } );
        eval([&v]{ return std::pair{"std::reduce (seq, long)",
            std::reduce(SEQ v.cbegin(), v.cend())}; } );
        eval([&v]{ return std::pair{"std::reduce (par, long)",
            std::reduce(PAR v.cbegin(), v.cend())}; } );
    }
}

Possible output:

// POSIX: g++ -std=c++23 ./example.cpp -ltbb -O3; ./a.out
std::accumulate (double)    sum: 10,000,000.7    time: 356.9 ms
std::reduce (seq, double)   sum: 10,000,000.7    time: 140.1 ms
std::reduce (par, double)   sum: 10,000,000.7    time: 140.1 ms
std::accumulate (long)      sum: 100,000,007     time: 46.0 ms
std::reduce (seq, long)     sum: 100,000,007     time: 67.3 ms
std::reduce (par, long)     sum: 100,000,007     time: 63.3 ms
 
// POSIX: g++ -std=c++23 ./example.cpp -ltbb -O3 -DPARALLEL; ./a.out
std::accumulate (double)    sum: 10,000,000.7    time: 353.4 ms
std::reduce (seq, double)   sum: 10,000,000.7    time: 140.7 ms
std::reduce (par, double)   sum: 10,000,000.7    time: 24.7 ms
std::accumulate (long)      sum: 100,000,007     time: 42.4 ms
std::reduce (seq, long)     sum: 100,000,007     time: 52.0 ms
std::reduce (par, long)     sum: 100,000,007     time: 23.1 ms

See also

sums up or folds a range of elements
(function template) [edit]
applies a function to a range of elements, storing results in a destination range
(function template) [edit]
applies an invocable, then reduces out of order
(function template) [edit]