fixed TargetArchs implementation in case when HAVE_CUDA=false, added initial structure for multi_gpu sample
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@ -46,99 +46,6 @@ 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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@ -218,6 +125,92 @@ CV_EXPORTS bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int major, int minor)
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}
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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::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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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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@ -15,6 +15,10 @@ if (BUILD_EXAMPLES)
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"${CMAKE_SOURCE_DIR}/modules/contrib/include"
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"${CMAKE_SOURCE_DIR}/modules/gpu/include"
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)
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if(HAVE_CUDA)
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include_directories(${CUDA_INCLUDE_DIRS})
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endif()
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if(CMAKE_COMPILER_IS_GNUCXX)
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set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wno-unused-function")
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34
samples/gpu/multi_gpu.cpp
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34
samples/gpu/multi_gpu.cpp
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@ -0,0 +1,34 @@
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// Disable some warnings which are caused with CUDA headers
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#pragma warning(disable: 4201 4408 4100)
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#include <iostream>
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#include <cvconfig.h>
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#include <opencv2/gpu/gpu.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#ifdef HAVE_CUDA
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#include <cuda_runtime.h>
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#endif
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using namespace std;
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using namespace cv;
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int main()
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{
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bool can_run = true;
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#if !defined(HAVE_CUDA)
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cout << "CUDA support is required (CMake key 'WITH_CUDA' must be true).\n";
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can_run = false;
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#endif
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#if !defined(HAVE_TBB)
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cout << "TBB support is required (CMake key 'WITH_TBB' must be true).\n";
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can_run = false;
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#endif
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if (!can_run)
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return -1;
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return 0;
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}
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