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154 lines
5.1 KiB
TeX
154 lines
5.1 KiB
TeX
\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 functions 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. Call of this function can be omitted, but in this case a default device will be initialized on fist GPU usage.
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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 the 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 the specified GPU has native double support, otherwise false.
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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 the specified GPU has atomics support, otherwise false.
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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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\cvCppFunc{gpu::hasPtxVersion}
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Returns true, if the GPU module has PTX code for the given architecture, otherwise false.
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\cvdefCpp{bool hasPtxVersion(int major, int minor);}
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\begin{description}
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\cvarg{major}{Major compute capability version.}
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\cvarg{minor}{Minor compute capability version.}
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\end{description}
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\cvCppFunc{gpu::hasLessOrEqualPtxVersion}
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Returns true, if the GPU module has PTX code for the given architecture or older one, otherwise false.
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\cvdefCpp{bool hasLessOrEqualPtxVersion(int major, int minor);}
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\begin{description}
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\cvarg{major}{Major compute capability version.}
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\cvarg{minor}{Minor compute capability version.}
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\end{description}
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\cvCppFunc{gpu::hasGreaterOrEqualPtxVersion}
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Returns true, if the GPU module has PTX code for the given architecture or newer one, otherwise false.
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\cvdefCpp{bool hasGreaterOrEqualPtxVersion(int major, int minor);}
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\begin{description}
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\cvarg{major}{Major compute capability version.}
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\cvarg{minor}{Minor compute capability version.}
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\end{description}
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\cvCppFunc{gpu::hasCubinVersion}
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Returns true, if the GPU module has CUBIN code for the given architecture, otherwise false.
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\cvdefCpp{bool hasCubinVersion(int major, int minor);}
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\begin{description}
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\cvarg{major}{Major compute capability version.}
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\cvarg{minor}{Minor compute capability version.}
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\end{description}
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\cvCppFunc{gpu::hasGreaterOrEqualCubinVersion}
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Returns true, if the GPU module has CUBIN code for the given architecture or newer one, otherwise false.
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\cvdefCpp{bool hasGreaterOrEqualCubinVersion(int major, int minor);}
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\begin{description}
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\cvarg{major}{Major compute capability version.}
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\cvarg{minor}{Minor compute capability version.}
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\end{description}
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\cvCppFunc{gpu::hasVersion}
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Returns true, if the GPU module has PTX or CUBIN code for the given architecture, otherwise false.
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\cvdefCpp{bool hasVersion(int major, int minor);}
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\begin{description}
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\cvarg{major}{Major compute capability version.}
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\cvarg{minor}{Minor compute capability version.}
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\end{description}
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\cvCppFunc{gpu::hasGreaterOrEqualVersion}
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Returns true, if the GPU module has PTX or CUBIN code for the given architecture or newer one, otherwise false.
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\cvdefCpp{bool hasGreaterOrEqualVersion(int major, int minor);}
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\begin{description}
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\cvarg{major}{Major compute capability version.}
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\cvarg{minor}{Minor compute capability version.}
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\end{description}
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\cvCppFunc{gpu::isCompatibleWith}
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Returns true, if the GPU module is built with PTX or CUBIN compatible with the given GPU device, otherwise false.
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\cvdefCpp{bool isCompatibleWith(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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% By default GPU module is no compiled for devices with compute capability equal to 1.0. So if you run
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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".
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