thrust::transform_inclusive_scan

Defined in thrust/transform_scan.h

template<typename DerivedPolicy, typename InputIterator, typename OutputIterator, typename UnaryFunction, typename AssociativeOperator>
OutputIterator thrust::transform_inclusive_scan(const thrust::detail::execution_policy_base<DerivedPolicy> &exec, InputIterator first, InputIterator last, OutputIterator result, UnaryFunction unary_op, AssociativeOperator binary_op)

transform_inclusive_scan fuses the transform and inclusive_scan operations. transform_inclusive_scan is equivalent to performing a tranformation defined by unary_op into a temporary sequence and then performing an inclusive_scan on the tranformed sequence. In most cases, fusing these two operations together is more efficient, since fewer memory reads and writes are required. In transform_inclusive_scan, unary_op(*first) is assigned to *result and the result of binary_op(unary_op(*first), unary_op(*(first + 1))) is assigned to *(result + 1), and so on. The transform scan operation is permitted to be in-place.

The algorithm’s execution is parallelized as determined by exec.

The following code snippet demonstrates how to use transform_inclusive_scan using the thrust::host execution policy for parallelization:

#include <thrust/transform_scan.h>
#include <thrust/execution_policy.h>
...

int data[6] = {1, 0, 2, 2, 1, 3};

thrust::negate<int> unary_op;
thrust::plus<int> binary_op;

thrust::transform_inclusive_scan(thrust::host, data, data + 6, data, unary_op, binary_op); // in-place scan

// data is now {-1, -1, -3, -5, -6, -9}

See also

transform

See also

inclusive_scan

Parameters
  • exec – The execution policy to use for parallelization.

  • first – The beginning of the input sequence.

  • last – The end of the input sequence.

  • result – The beginning of the output sequence.

  • unary_op – The function used to tranform the input sequence.

  • binary_op – The associative operator used to ‘sum’ transformed values.

Template Parameters
  • DerivedPolicy – The name of the derived execution policy.

  • InputIterator – is a model of Input Iterator and InputIterator's value_type is convertible to unary_op's input type.

  • OutputIterator – is a model of Output Iterator.

  • UnaryFunction – is a model of Unary Function and accepts inputs of InputIterator's value_type. UnaryFunction's result_type is convertable to OutputIterator's value_type.

  • AssociativeOperator – is a model of Binary Function and AssociativeOperator's result_type is convertible to OutputIterator's value_type.

Returns

The end of the output sequence.

Pre

first may equal result, but the range [first, last) and the range [result, result + (last - first)) shall not overlap otherwise.