cv::ocl::Kernel Class Reference

#include <opencv2/core/ocl.hpp>

Collaboration diagram for cv::ocl::Kernel:

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>
Kernel &	args (const _Tps &... kernel_args)
	Setup OpenCL Kernel arguments. 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
Kernel &	operator= (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

dims	the work problem dimensions. It is the length of globalsize and localsize. It can be either 1, 2 or 3.
globalsize	work 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.
localsize	work-group size for each dimension.
sync	specify whether to wait for OpenCL computation to finish before return.
q	command 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

References set_args_().

Referenced by set_args_().

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workGroupSize()

size_t cv::ocl::Kernel::workGroupSize

(

)

const

Member Data Documentation

p

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

protected

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

• opencv2/core/ocl.hpp