thrust::exclusive_scan_by_key
Defined in thrust/scan.h
-
template<typename DerivedPolicy, typename InputIterator1, typename InputIterator2, typename OutputIterator, typename T, typename BinaryPredicate, typename AssociativeOperator>
OutputIterator thrust::exclusive_scan_by_key(const thrust::detail::execution_policy_base<DerivedPolicy> &exec, InputIterator1 first1, InputIterator1 last1, InputIterator2 first2, OutputIterator result, T init, BinaryPredicate binary_pred, AssociativeOperator binary_op) exclusive_scan_by_key
computes an exclusive key-value or ‘segmented’ prefix sum operation. The term ‘exclusive’ means that each result does not include the corresponding input operand in the partial sum. The term ‘segmented’ means that the partial sums are broken into distinct segments. In other words, within each segment a separate exclusive scan operation is computed. Refer to the code sample below for example usage.This version of
exclusive_scan_by_key
uses the valueinit
to initialize the exclusive scan operation.This version of
exclusive_scan_by_key
uses the binary predicatebinary_pred
to compare adjacent keys. Specifically, consecutive iteratorsi
andi+1
in the range[first1, last1)
belong to the same segment ifbinary_pred(*i, *(i+1))
is true, and belong to different segments otherwise.This version of
exclusive_scan_by_key
uses the associative operatorbinary_op
to perform the prefix sum. When the input and output sequences are the same, the scan is performed in-place.Results are not deterministic for pseudo-associative operators (e.g., addition of floating-point types). Results for pseudo-associative operators may vary from run to run.
The algorithm’s execution is parallelized as determined by
exec
.The following code snippet demonstrates how to use
exclusive_scan_by_key
using thethrust::host
execution policy for parallelization:#include <thrust/scan.h> #include <thrust/functional.h> #include <thrust/execution_policy.h> ... int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3}; int vals[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1}; int init = 5; thrust::equal_to<int> binary_pred; thrust::plus<int> binary_op; thrust::exclusive_scan_by_key(thrust::host, key, key + 10, vals, vals, init, binary_pred, binary_op); // in-place scan // vals is now {5, 6, 7, 5, 6, 5, 5, 6, 7, 8};
See also
exclusive_scan
See also
inclusive_scan_by_key
- Parameters
exec – The execution policy to use for parallelization.
first1 – The beginning of the key sequence.
last1 – The end of the key sequence.
first2 – The beginning of the input value sequence.
result – The beginning of the output value sequence.
init – The initial of the exclusive sum value.
binary_pred – The binary predicate used to determine equality of keys.
binary_op – The associative operator used to ‘sum’ values.
- Template Parameters
DerivedPolicy – The name of the derived execution policy.
InputIterator1 – is a model of Input Iterator
InputIterator2 – is a model of Input Iterator and
InputIterator2's
value_type
is convertible toOutputIterator's
value_type
.OutputIterator – is a model of Output Iterator, and if
x
andy
are objects ofOutputIterator's
value_type
, thenbinary_op(x,y)
is defined.T – is convertible to
OutputIterator's
value_type
.BinaryPredicate – is a model of Binary Predicate.
AssociativeOperator – is a model of Binary Function and
AssociativeOperator's
result_type
is convertible toOutputIterator's
value_type
.
- Returns
The end of the output sequence.
- Pre
first1
may equalresult
but the range[first1, last1)
and the range[result, result + (last1 - first1))
shall not overlap otherwise.- Pre
first2
may equalresult
but the range[first2, first2 + (last1 - first1)
and the range[result, result + (last1 - first1))
shall not overlap otherwise.