OpenCV  4.5.0-pre
Open Source Computer Vision
Public Member Functions | Protected Member Functions | Protected Attributes | List of all members
cv::ocl::Kernel Class Reference

#include <opencv2/core/ocl.hpp>

Public Member Functions

 Kernel ()
 
 Kernel (const char *kname, const Program &prog)
 
 Kernel (const char *kname, const ProgramSource &prog, const String &buildopts=String(), String *errmsg=0)
 
 Kernel (const Kernel &k)
 
 ~Kernel ()
 
template<typename... _Tps>
Kernelargs (const _Tps &... kernel_args)
 Setup OpenCL Kernel arguments. Avoid direct using of set(i, ...) methods. More...
 
bool compileWorkGroupSize (size_t wsz[]) const
 
bool create (const char *kname, const Program &prog)
 
bool create (const char *kname, const ProgramSource &prog, const String &buildopts, String *errmsg=0)
 
bool empty () const
 
size_t localMemSize () const
 
Kerneloperator= (const Kernel &k)
 
size_t preferedWorkGroupSizeMultiple () const
 
void * ptr () const
 
bool run (int dims, size_t globalsize[], size_t localsize[], bool sync, const Queue &q=Queue())
 Run the OpenCL kernel. More...
 
int64 runProfiling (int dims, size_t globalsize[], size_t localsize[], const Queue &q=Queue())
 Similar to synchronized run() call with returning of kernel execution time Separate OpenCL command queue may be used (with CL_QUEUE_PROFILING_ENABLE) More...
 
bool runTask (bool sync, const Queue &q=Queue())
 
int set (int i, const void *value, size_t sz)
 
int set (int i, const Image2D &image2D)
 
int set (int i, const UMat &m)
 
int set (int i, const KernelArg &arg)
 
template<typename _Tp >
int set (int i, const _Tp &value)
 
size_t workGroupSize () const
 

Protected Member Functions

template<typename _Tp0 >
int set_args_ (int i, const _Tp0 &a0)
 
template<typename _Tp0 , typename... _Tps>
int set_args_ (int i, const _Tp0 &a0, const _Tps &... rest_args)
 

Protected Attributes

Impl * p
 

Constructor & Destructor Documentation

◆ Kernel() [1/4]

cv::ocl::Kernel::Kernel ( )

◆ Kernel() [2/4]

cv::ocl::Kernel::Kernel ( const char *  kname,
const Program prog 
)

◆ Kernel() [3/4]

cv::ocl::Kernel::Kernel ( const char *  kname,
const ProgramSource prog,
const String buildopts = String(),
String errmsg = 0 
)

◆ ~Kernel()

cv::ocl::Kernel::~Kernel ( )

◆ Kernel() [4/4]

cv::ocl::Kernel::Kernel ( const Kernel k)

Member Function Documentation

◆ args()

template<typename... _Tps>
Kernel& cv::ocl::Kernel::args ( const _Tps &...  kernel_args)
inline

Setup OpenCL Kernel arguments. Avoid direct using of set(i, ...) methods.

bool ok = kernel
.args(
srcUMat, dstUMat,
(float)some_float_param
).run(ndims, globalSize, localSize);
if (!ok) return false;

◆ compileWorkGroupSize()

bool cv::ocl::Kernel::compileWorkGroupSize ( size_t  wsz[]) const

◆ create() [1/2]

bool cv::ocl::Kernel::create ( const char *  kname,
const Program prog 
)

◆ create() [2/2]

bool cv::ocl::Kernel::create ( const char *  kname,
const ProgramSource prog,
const String buildopts,
String errmsg = 0 
)

◆ empty()

bool cv::ocl::Kernel::empty ( ) const

◆ localMemSize()

size_t cv::ocl::Kernel::localMemSize ( ) const

◆ operator=()

Kernel& cv::ocl::Kernel::operator= ( const Kernel k)

◆ preferedWorkGroupSizeMultiple()

size_t cv::ocl::Kernel::preferedWorkGroupSizeMultiple ( ) const

◆ ptr()

void* cv::ocl::Kernel::ptr ( ) const

◆ run()

bool cv::ocl::Kernel::run ( int  dims,
size_t  globalsize[],
size_t  localsize[],
bool  sync,
const Queue q = Queue() 
)

Run the OpenCL kernel.

Parameters
dimsthe work problem dimensions. It is the length of globalsize and localsize. It can be either 1, 2 or 3.
globalsizework items for each dimension. It is not the final globalsize passed to OpenCL. Each dimension will be adjusted to the nearest integer divisible by the corresponding value in localsize. If localsize is NULL, it will still be adjusted depending on dims. The adjusted values are greater than or equal to the original values.
localsizework-group size for each dimension.
syncspecify whether to wait for OpenCL computation to finish before return.
qcommand queue

◆ runProfiling()

int64 cv::ocl::Kernel::runProfiling ( int  dims,
size_t  globalsize[],
size_t  localsize[],
const Queue q = Queue() 
)

Similar to synchronized run() call with returning of kernel execution time Separate OpenCL command queue may be used (with CL_QUEUE_PROFILING_ENABLE)

Returns
Execution time in nanoseconds or negative number on error

◆ runTask()

bool cv::ocl::Kernel::runTask ( bool  sync,
const Queue q = Queue() 
)

◆ set() [1/5]

int cv::ocl::Kernel::set ( int  i,
const void *  value,
size_t  sz 
)

◆ set() [2/5]

int cv::ocl::Kernel::set ( int  i,
const Image2D image2D 
)

◆ set() [3/5]

int cv::ocl::Kernel::set ( int  i,
const UMat m 
)

◆ set() [4/5]

int cv::ocl::Kernel::set ( int  i,
const KernelArg arg 
)

◆ set() [5/5]

template<typename _Tp >
int cv::ocl::Kernel::set ( int  i,
const _Tp &  value 
)
inline

◆ set_args_() [1/2]

template<typename _Tp0 >
int cv::ocl::Kernel::set_args_ ( int  i,
const _Tp0 &  a0 
)
inlineprotected

◆ set_args_() [2/2]

template<typename _Tp0 , typename... _Tps>
int cv::ocl::Kernel::set_args_ ( int  i,
const _Tp0 &  a0,
const _Tps &...  rest_args 
)
inlineprotected

◆ workGroupSize()

size_t cv::ocl::Kernel::workGroupSize ( ) const

Member Data Documentation

◆ p

Impl* cv::ocl::Kernel::p
protected

The documentation for this class was generated from the following file: