2010-07-14 23:55:16 +08:00
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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using namespace cv;
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using namespace cv::gpu;
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2010-07-19 17:31:12 +08:00
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2011-01-27 20:17:56 +08:00
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namespace
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{
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template <typename Comparer>
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bool compare(const std::string& str, int x, Comparer cmp)
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{
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if (str.find_first_not_of(" ") == string::npos)
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return false;
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std::stringstream stream(str);
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int val;
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while (!stream.eof())
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{
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stream >> val;
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if (cmp(val, x))
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return true;
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}
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return false;
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}
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}
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CV_EXPORTS bool cv::gpu::TargetArchs::builtWith(cv::gpu::GpuFeature feature)
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{
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if (feature == NATIVE_DOUBLE)
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return hasEqualOrGreater(1, 3);
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if (feature == ATOMICS)
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return hasEqualOrGreater(1, 1);
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return true;
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}
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CV_EXPORTS bool cv::gpu::TargetArchs::has(int major, int minor)
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{
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return hasPtx(major, minor) || hasBin(major, minor);
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}
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CV_EXPORTS bool cv::gpu::TargetArchs::hasPtx(int major, int minor)
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{
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return ::compare(CUDA_ARCH_PTX, major * 10 + minor, std::equal_to<int>());
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}
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CV_EXPORTS bool cv::gpu::TargetArchs::hasBin(int major, int minor)
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{
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return ::compare(CUDA_ARCH_BIN, major * 10 + minor, std::equal_to<int>());
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}
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CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int major, int minor)
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{
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return ::compare(CUDA_ARCH_PTX, major * 10 + minor,
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std::less_equal<int>());
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}
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CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrGreater(int major, int minor)
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{
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return hasEqualOrGreaterPtx(major, minor) ||
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hasEqualOrGreaterBin(major, minor);
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}
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CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int major, int minor)
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{
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return ::compare(CUDA_ARCH_PTX, major * 10 + minor,
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std::greater_equal<int>());
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}
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CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int major, int minor)
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{
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return ::compare(CUDA_ARCH_BIN, major * 10 + minor,
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std::greater_equal<int>());
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}
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2010-07-19 17:31:12 +08:00
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#if !defined (HAVE_CUDA)
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2010-07-15 21:36:00 +08:00
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CV_EXPORTS int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
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2010-07-19 17:31:12 +08:00
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CV_EXPORTS string cv::gpu::getDeviceName(int /*device*/) { throw_nogpu(); return 0; }
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CV_EXPORTS void cv::gpu::setDevice(int /*device*/) { throw_nogpu(); }
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CV_EXPORTS int cv::gpu::getDevice() { throw_nogpu(); return 0; }
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2010-09-18 01:18:41 +08:00
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CV_EXPORTS void cv::gpu::getComputeCapability(int /*device*/, int& /*major*/, int& /*minor*/) { throw_nogpu(); }
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2010-07-19 17:31:12 +08:00
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CV_EXPORTS int cv::gpu::getNumberOfSMs(int /*device*/) { throw_nogpu(); return 0; }
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2010-09-18 01:18:41 +08:00
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CV_EXPORTS void cv::gpu::getGpuMemInfo(size_t& /*free*/, size_t& /*total*/) { throw_nogpu(); }
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2010-11-29 15:18:11 +08:00
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CV_EXPORTS bool cv::gpu::hasNativeDoubleSupport(int /*device*/) { throw_nogpu(); return false; }
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CV_EXPORTS bool cv::gpu::hasAtomicsSupport(int /*device*/) { throw_nogpu(); return false; }
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2011-01-19 21:28:22 +08:00
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CV_EXPORTS bool cv::gpu::isCompatibleWith(int device) { throw_nogpu(); return false; }
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2010-07-19 17:31:12 +08:00
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2010-07-15 21:36:00 +08:00
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2010-07-19 17:31:12 +08:00
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#else /* !defined (HAVE_CUDA) */
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2010-07-15 21:36:00 +08:00
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2010-07-14 23:55:16 +08:00
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CV_EXPORTS int cv::gpu::getCudaEnabledDeviceCount()
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{
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int count;
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cudaSafeCall( cudaGetDeviceCount( &count ) );
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return count;
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}
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2011-01-18 22:52:35 +08:00
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2010-07-14 23:55:16 +08:00
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CV_EXPORTS string cv::gpu::getDeviceName(int device)
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{
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cudaDeviceProp prop;
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cudaSafeCall( cudaGetDeviceProperties( &prop, device) );
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return prop.name;
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}
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2011-01-18 22:52:35 +08:00
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2010-07-14 23:55:16 +08:00
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CV_EXPORTS void cv::gpu::setDevice(int device)
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{
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cudaSafeCall( cudaSetDevice( device ) );
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}
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2011-01-18 22:52:35 +08:00
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2010-07-19 17:31:12 +08:00
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CV_EXPORTS int cv::gpu::getDevice()
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{
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int device;
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cudaSafeCall( cudaGetDevice( &device ) );
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return device;
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}
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2010-07-14 23:55:16 +08:00
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2011-01-18 22:52:35 +08:00
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2010-09-18 01:18:41 +08:00
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CV_EXPORTS void cv::gpu::getComputeCapability(int device, int& major, int& minor)
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2010-07-15 17:13:15 +08:00
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{
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cudaDeviceProp prop;
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2010-07-14 23:55:16 +08:00
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cudaSafeCall( cudaGetDeviceProperties( &prop, device) );
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2010-09-18 01:18:41 +08:00
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major = prop.major;
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minor = prop.minor;
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2010-07-14 23:55:16 +08:00
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}
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2011-01-18 22:52:35 +08:00
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2010-07-14 23:55:16 +08:00
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CV_EXPORTS int cv::gpu::getNumberOfSMs(int device)
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{
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cudaDeviceProp prop;
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cudaSafeCall( cudaGetDeviceProperties( &prop, device ) );
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return prop.multiProcessorCount;
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2010-07-15 21:36:00 +08:00
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}
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2010-08-07 01:02:06 +08:00
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2010-09-18 01:18:41 +08:00
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CV_EXPORTS void cv::gpu::getGpuMemInfo(size_t& free, size_t& total)
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2010-08-07 01:02:06 +08:00
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{
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2010-09-18 01:18:41 +08:00
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cudaSafeCall( cudaMemGetInfo( &free, &total ) );
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2010-08-07 01:02:06 +08:00
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}
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2011-01-18 22:52:35 +08:00
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2010-11-29 15:18:11 +08:00
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CV_EXPORTS bool cv::gpu::hasNativeDoubleSupport(int device)
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{
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int major, minor;
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getComputeCapability(device, major, minor);
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return major > 1 || (major == 1 && minor >= 3);
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}
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2011-01-18 22:52:35 +08:00
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2010-11-29 15:18:11 +08:00
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CV_EXPORTS bool cv::gpu::hasAtomicsSupport(int device)
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{
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int major, minor;
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getComputeCapability(device, major, minor);
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return major > 1 || (major == 1 && minor >= 1);
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}
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2011-01-18 22:52:35 +08:00
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2011-01-19 21:28:22 +08:00
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CV_EXPORTS bool cv::gpu::isCompatibleWith(int device)
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2011-01-18 20:01:28 +08:00
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{
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// According to the CUDA C Programming Guide Version 3.2: "PTX code
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// produced for some specific compute capability can always be compiled to
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// binary code of greater or equal compute capability".
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int major, minor;
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getComputeCapability(device, major, minor);
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2011-01-20 17:22:05 +08:00
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// Check PTX compatibility
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2011-01-27 18:06:38 +08:00
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if (TargetArchs::hasEqualOrLessPtx(major, minor))
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2011-01-20 17:22:05 +08:00
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return true;
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2011-01-20 23:08:48 +08:00
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// Check CUBIN compatibility
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2011-01-20 22:13:07 +08:00
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for (int i = minor; i >= 0; --i)
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2011-01-27 18:06:38 +08:00
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if (TargetArchs::hasBin(major, i))
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2011-01-20 17:22:05 +08:00
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return true;
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return false;
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2011-01-18 20:01:28 +08:00
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}
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2010-07-19 17:31:12 +08:00
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#endif
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