\section{Initalization and Information}


\cvCppFunc{gpu::getCudaEnabledDeviceCount}
Returns number of CUDA-enabled devices installed. It is to be used before any other GPU functions calls. If OpenCV is compiled without GPU support this function returns 0. 

\cvdefCpp{int getCudaEnabledDeviceCount();}


\cvCppFunc{gpu::setDevice}
Sets device and initializes it for current thread. Call of this function can be omitted, but in this case a default device will be initialized on fist GPU usage.

\cvdefCpp{void setDevice(int device);}
\begin{description}
\cvarg{device}{index of GPU device in system starting with 0.}
\end{description}


\cvCppFunc{gpu::getDevice}
Returns current device index, which was set by \cvCppCross{gpu::getDevice} of initialized by default.

\cvdefCpp{int getDevice();}


\cvCppFunc{gpu::getComputeCapability}
Returns compute capability version for given device.

\cvdefCpp{void getComputeCapability(int device, int\& major, int\& minor);}
\begin{description}
\cvarg{device}{GPU index. Can be obtained via \cvCppCross{gpu::getDevice}.}
\cvarg{major}{Major CC version.}
\cvarg{minor}{Minor CC version.}
\end{description}

\cvCppFunc{gpu::getNumberOfSMs}
Returns number of Streaming Multiprocessors for given device.

\cvdefCpp{int getNumberOfSMs(int device);}
\begin{description}
\cvarg{device}{GPU index. Can be obtained via \cvCppCross{gpu::getDevice}.}
\end{description}


\cvCppFunc{gpu::getGpuMemInfo}
Returns free and total memory for the current device.

\cvdefCpp{void getGpuMemInfo(size\_t\& free, size\_t\& total);}
\begin{description}
\cvarg{free}{Reference to free GPU memory counter.}
\cvarg{total}{Reference to total GPU memory counter.}
\end{description}


\cvCppFunc{gpu::hasNativeDoubleSupport}
Returns true, if the specified GPU has native double support, otherwise false.

\cvdefCpp{bool hasNativeDoubleSupport(int device);}
\begin{description}
\cvarg{device}{GPU index. Can be obtained via \cvCppCross{gpu::getDevice}.}
\end{description}


\cvCppFunc{gpu::hasAtomicsSupport}
Returns true, if the specified GPU has atomics support, otherwise false.

\cvdefCpp{bool hasAtomicsSupport(int device);}
\begin{description}
\cvarg{device}{GPU index. Can be obtained via \cvCppCross{gpu::getDevice}.}
\end{description} 


\cvCppFunc{gpu::hasPtxVersion}
Returns true, if the GPU module has PTX code for the given architecture, otherwise false.

\cvdefCpp{bool hasPtxVersion(int major, int minor);}
\begin{description}
\cvarg{major}{Major compute capability version.}
\cvarg{minor}{Minor compute capability version.}
\end{description}


\cvCppFunc{gpu::hasLessOrEqualPtxVersion}
Returns true, if the GPU module has PTX code for the given architecture or older one, otherwise false.

\cvdefCpp{bool hasLessOrEqualPtxVersion(int major, int minor);}
\begin{description}
\cvarg{major}{Major compute capability version.}
\cvarg{minor}{Minor compute capability version.}
\end{description}


\cvCppFunc{gpu::hasGreaterOrEqualPtxVersion}
Returns true, if the GPU module has PTX code for the given architecture or newer one, otherwise false.

\cvdefCpp{bool hasGreaterOrEqualPtxVersion(int major, int minor);}
\begin{description}
\cvarg{major}{Major compute capability version.}
\cvarg{minor}{Minor compute capability version.}
\end{description}


\cvCppFunc{gpu::hasCubinVersion}
Returns true, if the GPU module has CUBIN code for the given architecture, otherwise false.

\cvdefCpp{bool hasCubinVersion(int major, int minor);}
\begin{description}
\cvarg{major}{Major compute capability version.}
\cvarg{minor}{Minor compute capability version.}
\end{description}


\cvCppFunc{gpu::hasGreaterOrEqualCubinVersion}
Returns true, if the GPU module has CUBIN code for the given architecture or newer one, otherwise false.

\cvdefCpp{bool hasGreaterOrEqualCubinVersion(int major, int minor);}
\begin{description}
\cvarg{major}{Major compute capability version.}
\cvarg{minor}{Minor compute capability version.}
\end{description}


\cvCppFunc{gpu::hasVersion}
Returns true, if the GPU module has PTX or CUBIN code for the given architecture, otherwise false.

\cvdefCpp{bool hasVersion(int major, int minor);}
\begin{description}
\cvarg{major}{Major compute capability version.}
\cvarg{minor}{Minor compute capability version.}
\end{description}


\cvCppFunc{gpu::hasGreaterOrEqualVersion}
Returns true, if the GPU module has PTX or CUBIN code for the given architecture or newer one, otherwise false.

\cvdefCpp{bool hasGreaterOrEqualVersion(int major, int minor);}
\begin{description}
\cvarg{major}{Major compute capability version.}
\cvarg{minor}{Minor compute capability version.}
\end{description}


\cvCppFunc{gpu::isCompatibleWith}
Returns true, if the GPU module is built with PTX or CUBIN compatible with the given GPU device, otherwise false.

\cvdefCpp{bool isCompatibleWith(int device);}
\begin{description}
\cvarg{device}{GPU index. Can be obtained via \cvCppCross{gpu::getDevice}.}
\end{description}

% By default GPU module is no compiled for devices with compute capability equal to 1.0. So if you run

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".