documented all functions from GPU initialization section
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doc/gpu.tex
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doc/gpu.tex
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\ifCpp
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\section{Initalization and Info}
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\cvCppFunc{gpu::hasNativeDoubleSupport}
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Returns true if current GPU has native double support, false otherwise.
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\cvdefCpp{bool hasNativeDoubleSupport(int device);}
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\begin{description}
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\cvarg{device}{GPU identity. Can be obtained via \cvCppCross{gpu::getDevice}.}
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\end{description}
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\cvCppFunc{gpu::hasAtomicsSupport}
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Returns true if current GPU has atomics support, false otherwise.
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\cvdefCpp{bool hasAtomicsSupport(int device);}
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\begin{description}
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\cvarg{device}{GPU identity. Can be obtained via \cvCppCross{gpu::getDevice}.}
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\end{description}
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\section{Data Structures}
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@ -821,5 +797,3 @@ Returns block descriptors computed for the whole image.
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\cvarg{DESCR\_FORMAT\_COL\_BY\_COL}{Column-major order.}
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\end{description}}
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\end{description}
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\fi
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69
doc/gpu_initialization.tex
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doc/gpu_initialization.tex
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\section{Initalization and Information}
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\cvCppFunc{gpu::getCudaEnabledDeviceCount}
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Returns number of CUDA-enabled devices installed. It is to be used before any other GPU funtions calls. If OpenCV is compiled without GPU support this function returns 0.
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\cvdefCpp{int getCudaEnabledDeviceCount();}
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\cvCppFunc{gpu::setDevice}
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Sets device and initializes it for current thread. If this call is omitted, default device will be initialized.
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\cvdefCpp{void setDevice(int device);}
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\begin{description}
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\cvarg{device}{index of GPU device in system starting with 0.}
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\end{description}
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\cvCppFunc{gpu::getDevice}
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Returns current device index, which was set by \cvCppCross{gpu::getDevice} of initialized by default.
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\cvdefCpp{int getDevice();}
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\cvCppFunc{gpu::getComputeCapability}
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Returns compute capability version for given device.
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\cvdefCpp{void getComputeCapability(int device, int\& major, int\& minor);}
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\begin{description}
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\cvarg{device}{GPU index. Can be obtained via \cvCppCross{gpu::getDevice}.}
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\cvarg{major}{Major CC version.}
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\cvarg{minor}{Minor CC version.}
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\end{description}
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\cvCppFunc{gpu::getNumberOfSMs}
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Returns number of Streaming Multiprocessors for given device.
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\cvdefCpp{int getNumberOfSMs(int device);}
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\begin{description}
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\cvarg{device}{GPU index. Can be obtained via \cvCppCross{gpu::getDevice}.}
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\end{description}
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\cvCppFunc{gpu::getGpuMemInfo}
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Returns free and total memory for current device.
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\cvdefCpp{void getGpuMemInfo(size\_t\& free, size\_t\& total);}
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\begin{description}
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\cvarg{free}{Reference to free GPU memory counter.}
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\cvarg{total}{Reference to total GPU memory counter.}
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\end{description}
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\cvCppFunc{gpu::hasNativeDoubleSupport}
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Returns true if current GPU has native double support, false otherwise.
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\cvdefCpp{bool hasNativeDoubleSupport(int device);}
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\begin{description}
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\cvarg{device}{GPU index. Can be obtained via \cvCppCross{gpu::getDevice}.}
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\end{description}
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\cvCppFunc{gpu::hasAtomicsSupport}
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Returns true if current GPU has atomics support, false otherwise.
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\cvdefCpp{bool hasAtomicsSupport(int device);}
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\begin{description}
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\cvarg{device}{GPU index. Can be obtained via \cvCppCross{gpu::getDevice}.}
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\end{description}
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3
doc/gpu_introduction.tex
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3
doc/gpu_introduction.tex
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\setction{ABC}
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GPU INTRODUTION
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\ifCpp
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\chapter{gpu. GPU-based Functionality}
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\renewcommand{\curModule}{gpu}
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%\input{gpu_introduction}
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\input{gpu_initialization}
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\input{gpu}
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%\input{gpu_datastructures}
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%\input{gpu_matrixoperations}
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%\input{gpu_imageproc}
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%\input{gpu_matrixreductions}
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%\input{gpu_objectdetection}
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\input{gpu_features2d}
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\input{gpu_image_filtering}
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\fi
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