std::transform_reduce
| Defined in header <numeric>
|
||
| template<class InputIt, class UnaryOp, class T, class BinaryOp> T transform_reduce(InputIt first, InputIt last, |
(1) | (since C++17) |
| template<class ExecutionPolicy, class InputIt, class UnaryOp, class T, class BinaryOp> |
(2) | (since C++17) |
unary_op to each element in the range [first; last) and reduces the results (possibly permuted and aggregated in unspecified manner) along with the initial value init over binary_op.policy. This overload does not participate in overload resolution unless std::is_execution_policy_v<std::decay_t<ExecutionPolicy>> is trueThe behavior is non-deterministic if binary_op is not associative or not commutative.
The behavior is undefined if unary_op or binary_op modifies any element or invalidates any iterator in [first; last).
Contents |
[edit] 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. |
| unary_op | - | unary FunctionObject that will be applied to each element of the input range. The return type must be acceptable as input to binary_op
|
| binary_op | - | binary FunctionObject that will be applied in unspecified order to the results of unary_op, the results of other binary_op and init.
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| Type requirements | ||
-InputIt must meet the requirements of InputIterator.
| ||
[edit] Return value
Generalized sum of init and unary_op(*first), unary_op(*(first+1)), ... unary_op(*(last-1)) over binary_op,
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 unary_op may be grouped and arranged in arbitrary order.
[edit] Complexity
O(last - first) applications each of unary_op and binary_op.
[edit] 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,
- if
policyis std::parallel_vector_execution_policy, std::terminate is called - if
policyis std::sequential_execution_policy or std::parallel_execution_policy, the algorithm exits with an std::exception_list containing all uncaught exceptions. If there was only one uncaught exception, the algorithm may rethrow it without wrapping in std::exception_list. It is unspecified how much work the algorithm will perform before returning after the first exception was encountered. - if
policyis some other type, the behavior is implementation-defined
- if
- If the algorithm fails to allocate memory (either for itself or to construct an std::exception_list when handling a user exception), std::bad_alloc is thrown.
[edit] Notes
unary_op is not applied to init
If the range is empty, init is returned, unmodified
[edit] Example
transform_reduce can be used to parallelize std::inner_product:
#include <vector> #include <iterator> #include <functional> #include <iostream> #include <numeric> #include <execution_policy> #include <boost/iterator/zip_iterator.hpp> #include <boost/tuple.hpp> int main() { std::vector<double> xvalues(10007, 1.0), yvalues(10007, 1.0); double result = std::transform_reduce( std::par, boost::iterators::make_zip_iterator( boost::make_tuple(std::begin(xvalues), std::begin(yvalues))), boost::iterators::make_zip_iterator( boost::make_tuple(std::end(xvalues), std::end(yvalues))), [](auto r) { return boost::get<0>(r) * boost::get<1>(r); } 0.0, std::plus<>() ); std::cout << result << '\n'; }
Output:
10007
[edit] See also
| sums up a range of elements (function template) | |
| applies a function to a range of elements (function template) | |
| (C++17) |
similar to std::accumulate, except out of order (function template) |