OpenCV  4.10.0-dev
Open Source Computer Vision
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Static Public Member Functions | List of all members

Class providing a set of static methods to check what NVIDIA* card architecture the CUDA module was built for. More...

#include <opencv2/core/cuda.hpp>

Collaboration diagram for cv::cuda::TargetArchs:

Static Public Member Functions

static bool builtWith (FeatureSet feature_set)
 The following method checks whether the module was built with the support of the given feature:
 
static bool has (int major, int minor)
 There is a set of methods to check whether the module contains intermediate (PTX) or binary CUDA code for the given architecture(s):
 
static bool hasBin (int major, int minor)
 
static bool hasEqualOrGreater (int major, int minor)
 
static bool hasEqualOrGreaterBin (int major, int minor)
 
static bool hasEqualOrGreaterPtx (int major, int minor)
 
static bool hasEqualOrLessPtx (int major, int minor)
 
static bool hasPtx (int major, int minor)
 

Detailed Description

Class providing a set of static methods to check what NVIDIA* card architecture the CUDA module was built for.

According to the CUDA C Programming Guide Version 3.2: "PTX code produced for some specific compute capability can always be compiled to binary code of greater or equal compute capability".

Member Function Documentation

◆ builtWith()

static bool cv::cuda::TargetArchs::builtWith ( FeatureSet  feature_set)
static

The following method checks whether the module was built with the support of the given feature:

Parameters
feature_setFeatures to be checked. See :ocvcuda::FeatureSet.

◆ has()

static bool cv::cuda::TargetArchs::has ( int  major,
int  minor 
)
static
Python:
cv.cuda.TargetArchs.has(major, minor) -> retval
cv.cuda.TargetArchs_has(major, minor) -> retval

There is a set of methods to check whether the module contains intermediate (PTX) or binary CUDA code for the given architecture(s):

Parameters
majorMajor compute capability version.
minorMinor compute capability version.

◆ hasBin()

static bool cv::cuda::TargetArchs::hasBin ( int  major,
int  minor 
)
static
Python:
cv.cuda.TargetArchs.hasBin(major, minor) -> retval
cv.cuda.TargetArchs_hasBin(major, minor) -> retval

◆ hasEqualOrGreater()

static bool cv::cuda::TargetArchs::hasEqualOrGreater ( int  major,
int  minor 
)
static
Python:
cv.cuda.TargetArchs.hasEqualOrGreater(major, minor) -> retval
cv.cuda.TargetArchs_hasEqualOrGreater(major, minor) -> retval

◆ hasEqualOrGreaterBin()

static bool cv::cuda::TargetArchs::hasEqualOrGreaterBin ( int  major,
int  minor 
)
static
Python:
cv.cuda.TargetArchs.hasEqualOrGreaterBin(major, minor) -> retval
cv.cuda.TargetArchs_hasEqualOrGreaterBin(major, minor) -> retval

◆ hasEqualOrGreaterPtx()

static bool cv::cuda::TargetArchs::hasEqualOrGreaterPtx ( int  major,
int  minor 
)
static
Python:
cv.cuda.TargetArchs.hasEqualOrGreaterPtx(major, minor) -> retval
cv.cuda.TargetArchs_hasEqualOrGreaterPtx(major, minor) -> retval

◆ hasEqualOrLessPtx()

static bool cv::cuda::TargetArchs::hasEqualOrLessPtx ( int  major,
int  minor 
)
static
Python:
cv.cuda.TargetArchs.hasEqualOrLessPtx(major, minor) -> retval
cv.cuda.TargetArchs_hasEqualOrLessPtx(major, minor) -> retval

◆ hasPtx()

static bool cv::cuda::TargetArchs::hasPtx ( int  major,
int  minor 
)
static
Python:
cv.cuda.TargetArchs.hasPtx(major, minor) -> retval
cv.cuda.TargetArchs_hasPtx(major, minor) -> retval

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