Open Source Computer Vision Library
https://opencv.org/
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233 lines
7.5 KiB
233 lines
7.5 KiB
/*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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#if !defined (HAVE_CUDA) |
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CV_EXPORTS int cv::gpu::getCudaEnabledDeviceCount() { return 0; } |
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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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CV_EXPORTS void cv::gpu::getComputeCapability(int /*device*/, int& /*major*/, int& /*minor*/) { throw_nogpu(); } |
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CV_EXPORTS int cv::gpu::getNumberOfSMs(int /*device*/) { throw_nogpu(); return 0; } |
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CV_EXPORTS void cv::gpu::getGpuMemInfo(size_t& /*free*/, size_t& /*total*/) { throw_nogpu(); } |
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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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CV_EXPORTS bool cv::gpu::hasPtxVersion(int major, int minor) { throw_nogpu(); return false; } |
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CV_EXPORTS bool cv::gpu::hasLessOrEqualPtxVersion(int major, int minor) { return false; } |
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CV_EXPORTS bool cv::gpu::hasGreaterOrEqualPtxVersion(int major, int minor) { return false; } |
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CV_EXPORTS bool cv::gpu::hasCubinVersion(int major, int minor) { return false; } |
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CV_EXPORTS bool cv::gpu::hasGreaterOrEqualCubinVersion(int major, int minor) { return false; } |
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CV_EXPORTS bool cv::gpu::hasVersion(int major, int minor) { return false; } |
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CV_EXPORTS bool cv::gpu::hasGreaterOrEqualVersion(int major, int minor) { return false; } |
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CV_EXPORTS bool cv::gpu::isCompatibleWith(int device) { throw_nogpu(); return false; } |
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#else /* !defined (HAVE_CUDA) */ |
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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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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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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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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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CV_EXPORTS void cv::gpu::getComputeCapability(int device, int& major, int& minor) |
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{ |
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cudaDeviceProp prop; |
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cudaSafeCall( cudaGetDeviceProperties( &prop, device) ); |
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major = prop.major; |
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minor = prop.minor; |
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} |
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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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} |
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CV_EXPORTS void cv::gpu::getGpuMemInfo(size_t& free, size_t& total) |
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{ |
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cudaSafeCall( cudaMemGetInfo( &free, &total ) ); |
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} |
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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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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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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::hasPtxVersion(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::hasLessOrEqualPtxVersion(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::hasGreaterOrEqualPtxVersion(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::hasCubinVersion(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::hasGreaterOrEqualCubinVersion(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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CV_EXPORTS bool cv::gpu::hasVersion(int major, int minor) |
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{ |
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return hasPtxVersion(major, minor) || hasCubinVersion(major, minor); |
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} |
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CV_EXPORTS bool cv::gpu::hasGreaterOrEqualVersion(int major, int minor) |
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{ |
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return hasGreaterOrEqualPtxVersion(major, minor) || |
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hasGreaterOrEqualCubinVersion(major, minor); |
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} |
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CV_EXPORTS bool cv::gpu::isCompatibleWith(int device) |
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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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// Check PTX compatibility |
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if (hasLessOrEqualPtxVersion(major, minor)) |
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return true; |
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// Check CUBIN compatibility |
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for (int i = minor; i >= 0; --i) |
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if (hasCubinVersion(major, i)) |
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return true; |
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return false; |
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} |
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#endif |
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