rot#
Performs rotation of points in the plane.
Description
Given two vectors x
and y
of n
elements, the rot
routines
compute four scalar-vector products and update the input vectors with
the sum of two of these scalar-vector products as follow:
rot
supports the following precisions.
T
T_scalar
float
float
double
double
std::complex<float>
float
std::complex<double>
double
rot (Buffer Version)#
Syntax
namespace oneapi::mkl::blas::column_major {
void rot(sycl::queue &queue,
std::int64_t n,
sycl::buffer<T,1> &x,
std::int64_t incx,
sycl::buffer<T,1> &y,
std::int64_t incy,
T_scalar c,
T_scalar s)
}
namespace oneapi::mkl::blas::row_major {
void rot(sycl::queue &queue,
std::int64_t n,
sycl::buffer<T,1> &x,
std::int64_t incx,
sycl::buffer<T,1> &y,
std::int64_t incy,
T_scalar c,
T_scalar s)
}
Input Parameters
- queue
The queue where the routine should be executed.
- n
Number of elements in vector
x
.- x
Buffer holding input vector
x
. The buffer must be of size at least (1 + (n
- 1)*abs(incx
)). See Matrix Storage for more details.- incx
Stride of vector
x
.- y
Buffer holding input vector
y
. The buffer must be of size at least (1 + (n
- 1)*abs(incy
)). See Matrix Storage for more details.- incy
Stride of vector
y
.- c
Scaling factor.
- s
Scaling factor.
Output Parameters
- x
Buffer holding updated buffer
x
.- y
Buffer holding updated buffer
y
.
rot (USM Version)#
Syntax
namespace oneapi::mkl::blas::column_major {
sycl::event rot(sycl::queue &queue,
std::int64_t n,
T *x,
std::int64_t incx,
T *y,
std::int64_t incy,
T_scalar c,
T_scalar s,
const std::vector<sycl::event> &dependencies = {})
}
namespace oneapi::mkl::blas::row_major {
sycl::event rot(sycl::queue &queue,
std::int64_t n,
T *x,
std::int64_t incx,
T *y,
std::int64_t incy,
T_scalar c,
T_scalar s,
const std::vector<sycl::event> &dependencies = {})
}
Input Parameters
- queue
The queue where the routine should be executed.
- n
Number of elements in vector
x
.- x
Pointer to input vector
x
. The array holding input vectorx
must be of size at least (1 + (n
- 1)*abs(incx
)). See Matrix Storage for more details.- incx
Stride of vector
x
.- y
Pointer to input vector
y
. The array holding input vectory
must be of size at least (1 + (n
- 1)*abs(incy
)). See Matrix Storage for more details.- incy
Stride of vector
y
.- c
Scaling factor.
- s
Scaling factor.
- dependencies
List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.
Output Parameters
- x
Pointer to the updated matrix
x
.- y
Pointer to the updated matrix
y
.
Return Values
Output event to wait on to ensure computation is complete.
Parent topic: BLAS Level 1 Routines