197 lines
5.7 KiB
ReStructuredText
197 lines
5.7 KiB
ReStructuredText
Initalization and Information
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=============================
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.. highlight:: cpp
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.. index:: gpu::getCudaEnabledDeviceCount
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gpu::getCudaEnabledDeviceCount
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----------------------------------
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.. cpp:function:: int getCudaEnabledDeviceCount()
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Returns the number of installed CUDA-enabled devices. Use this function before any other GPU functions calls. If OpenCV is compiled without GPU support, this function returns 0.
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.. index:: gpu::setDevice
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gpu::setDevice
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------------------
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.. cpp:function:: void setDevice(int device)
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Sets a device and initializes it for the current thread. If the call of this function is omitted, a default device is initialized at the fist GPU usage.
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:param device: System index of a GPU device starting with 0.
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.. index:: gpu::getDevice
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gpu::getDevice
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------------------
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.. cpp:function:: int getDevice()
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Returns the current device index that was set by ``{gpu::getDevice}`` or initialized by default.
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.. index:: gpu::GpuFeature
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gpu::GpuFeature
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---------------
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.. cpp:class:: gpu::GpuFeature
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This class provides GPU computing features.
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::
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enum GpuFeature
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{
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COMPUTE_10, COMPUTE_11,
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COMPUTE_12, COMPUTE_13,
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COMPUTE_20, COMPUTE_21,
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ATOMICS, NATIVE_DOUBLE
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};
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.. index:: gpu::DeviceInfo
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gpu::DeviceInfo
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---------------
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.. cpp:class:: gpu::DeviceInfo
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This class provides functionality for querying the specified GPU properties.
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::
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class CV_EXPORTS DeviceInfo
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{
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public:
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DeviceInfo();
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DeviceInfo(int device_id);
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string name() const;
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int majorVersion() const;
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int minorVersion() const;
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int multiProcessorCount() const;
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size_t freeMemory() const;
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size_t totalMemory() const;
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bool supports(GpuFeature feature) const;
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bool isCompatible() const;
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};
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.. index:: gpu::DeviceInfo::DeviceInfo
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.. Comment: two lines below look like a bug
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gpu::DeviceInfo::DeviceInfo
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-------------------------------
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.. cpp:function:: gpu::DeviceInfo::DeviceInfo()
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.. cpp:function:: gpu::DeviceInfo::DeviceInfo(int device_id)
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Constructs the ``DeviceInfo`` object for the specified device. If ``device_id`` parameter is missed, it constructs an object for the current device.
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:param device_id: System index of the GPU device starting with 0.
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.. index:: gpu::DeviceInfo::name
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gpu::DeviceInfo::name
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-------------------------
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.. cpp:function:: string gpu::DeviceInfo::name()
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Returns the device name.
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.. index:: gpu::DeviceInfo::majorVersion
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gpu::DeviceInfo::majorVersion
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---------------------------------
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.. cpp:function:: int gpu::DeviceInfo::majorVersion()
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Returns the major compute capability version.
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.. index:: gpu::DeviceInfo::minorVersion
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gpu::DeviceInfo::minorVersion
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---------------------------------
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.. cpp:function:: int gpu::DeviceInfo::minorVersion()
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Returns the minor compute capability version.
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.. index:: gpu::DeviceInfo::multiProcessorCount
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gpu::DeviceInfo::multiProcessorCount
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----------------------------------------
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.. cpp:function:: int gpu::DeviceInfo::multiProcessorCount()
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Returns the number of streaming multiprocessors.
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.. index:: gpu::DeviceInfo::freeMemory
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gpu::DeviceInfo::freeMemory
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-------------------------------
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.. cpp:function:: size_t gpu::DeviceInfo::freeMemory()
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Returns the amount of free memory in bytes.
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.. index:: gpu::DeviceInfo::totalMemory
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gpu::DeviceInfo::totalMemory
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--------------------------------
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.. cpp:function:: size_t gpu::DeviceInfo::totalMemory()
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Returns the amount of total memory in bytes.
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.. index:: gpu::DeviceInfo::supports
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gpu::DeviceInfo::supports
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-----------------------------
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.. cpp:function:: bool gpu::DeviceInfo::supports(GpuFeature feature)
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Provides information on GPU feature support. This function returns true if the device has the specified GPU feature. Otherwise, it returns false.
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:param feature: Feature to be checked. See :cpp:class:`gpu::GpuFeature`.
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.. index:: gpu::DeviceInfo::isCompatible
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gpu::DeviceInfo::isCompatible
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---------------------------------
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.. cpp:function:: bool gpu::DeviceInfo::isCompatible()
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Checks the GPU module and device compatibility. This function returns ``true`` if the GPU module can be run on the specified device. Otherwise, it returns false.
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.. index:: gpu::TargetArchs
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.. _gpu::TargetArchs:
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gpu::TargetArchs
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----------------
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.. cpp:class:: gpu::TargetArchs
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This class provides a set of static methods to check what NVIDIA* card architecture the GPU module was built for.
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The following method checks whether the module was built with the support of the given feature:
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.. cpp:function:: static bool gpu::TargetArchs::builtWith(GpuFeature feature)
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:param feature: Feature to be checked. See :cpp:class:`gpu::GpuFeature`.
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There is a set of methods to check whether the module contains intermediate (PTX) or binary GPU code for the given architecture(s):
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.. cpp:function:: static bool gpu::TargetArchs::has(int major, int minor)
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.. cpp:function:: static bool gpu::TargetArchs::hasPtx(int major, int minor)
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.. cpp:function:: static bool gpu::TargetArchs::hasBin(int major, int minor)
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.. cpp:function:: static bool gpu::TargetArchs::hasEqualOrLessPtx(int major, int minor)
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.. cpp:function:: static bool gpu::TargetArchs::hasEqualOrGreater(int major, int minor)
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.. cpp:function:: static bool gpu::TargetArchs::hasEqualOrGreaterPtx(int major, int minor)
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.. cpp:function:: static bool gpu::TargetArchs::hasEqualOrGreaterBin(int major, int minor)
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:param major: Major compute capability version.
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:param minor: Minor compute capability version.
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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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