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https://github.com/opencv/opencv.git
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Merge pull request #512 from jet47:core-gpu-updates
This commit is contained in:
Andrey Kamaev
OpenCV Buildbot
commit
decf04dfec
@ -73,12 +73,16 @@ namespace cv { namespace gpu
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FEATURE_SET_COMPUTE_20 = 20,
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FEATURE_SET_COMPUTE_21 = 21,
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FEATURE_SET_COMPUTE_30 = 30,
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FEATURE_SET_COMPUTE_35 = 35,
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GLOBAL_ATOMICS = FEATURE_SET_COMPUTE_11,
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SHARED_ATOMICS = FEATURE_SET_COMPUTE_12,
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NATIVE_DOUBLE = FEATURE_SET_COMPUTE_13,
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WARP_SHUFFLE_FUNCTIONS = FEATURE_SET_COMPUTE_30
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WARP_SHUFFLE_FUNCTIONS = FEATURE_SET_COMPUTE_30,
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DYNAMIC_PARALLELISM = FEATURE_SET_COMPUTE_35
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};
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// Checks whether current device supports the given feature
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CV_EXPORTS bool deviceSupports(FeatureSet feature_set);
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// Gives information about what GPU archs this OpenCV GPU module was
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@ -116,6 +120,9 @@ namespace cv { namespace gpu
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int multiProcessorCount() const { return multi_processor_count_; }
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size_t sharedMemPerBlock() const;
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void queryMemory(size_t& totalMemory, size_t& freeMemory) const;
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size_t freeMemory() const;
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size_t totalMemory() const;
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@ -129,7 +136,6 @@ namespace cv { namespace gpu
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private:
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void query();
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void queryMemory(size_t& free_memory, size_t& total_memory) const;
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int device_id_;
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@ -549,29 +555,6 @@ namespace cv { namespace gpu
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{
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ensureSizeIsEnough(size.height, size.width, type, m);
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}
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inline void createContinuous(int rows, int cols, int type, GpuMat& m)
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{
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int area = rows * cols;
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if (!m.isContinuous() || m.type() != type || m.size().area() != area)
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ensureSizeIsEnough(1, area, type, m);
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m = m.reshape(0, rows);
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}
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inline void ensureSizeIsEnough(int rows, int cols, int type, GpuMat& m)
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{
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if (m.type() == type && m.rows >= rows && m.cols >= cols)
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m = m(Rect(0, 0, cols, rows));
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else
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m.create(rows, cols, type);
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}
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inline GpuMat allocMatFromBuf(int rows, int cols, int type, GpuMat &mat)
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{
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if (!mat.empty() && mat.type() == type && mat.rows >= rows && mat.cols >= cols)
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return mat(Rect(0, 0, cols, rows));
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return mat = GpuMat(rows, cols, type);
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}
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}}
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#endif // __cplusplus
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@ -48,8 +48,8 @@
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#include <cuda_runtime.h>
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#include <npp.h>
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#define CUDART_MINIMUM_REQUIRED_VERSION 4010
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#define NPP_MINIMUM_REQUIRED_VERSION 4100
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#define CUDART_MINIMUM_REQUIRED_VERSION 4020
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#define NPP_MINIMUM_REQUIRED_VERSION 4200
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#if (CUDART_VERSION < CUDART_MINIMUM_REQUIRED_VERSION)
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#error "Insufficient Cuda Runtime library version, please update it."
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@ -64,8 +64,108 @@ using namespace std;
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using namespace cv;
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using namespace cv::gpu;
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#ifndef HAVE_CUDA
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#define throw_nogpu CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support")
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#else // HAVE_CUDA
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namespace
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{
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#if defined(__GNUC__)
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#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
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#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
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#else /* defined(__CUDACC__) || defined(__MSVC__) */
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#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
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#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
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#endif
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inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
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{
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if (cudaSuccess != err)
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cv::gpu::error(cudaGetErrorString(err), file, line, func);
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}
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inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
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{
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if (err < 0)
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{
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std::ostringstream msg;
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msg << "NPP API Call Error: " << err;
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cv::gpu::error(msg.str().c_str(), file, line, func);
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}
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}
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}
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#endif // HAVE_CUDA
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//////////////////////////////// Initialization & Info ////////////////////////
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#ifndef HAVE_CUDA
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int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
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void cv::gpu::setDevice(int) { throw_nogpu; }
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int cv::gpu::getDevice() { throw_nogpu; return 0; }
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void cv::gpu::resetDevice() { throw_nogpu; }
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bool cv::gpu::deviceSupports(FeatureSet) { throw_nogpu; return false; }
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bool cv::gpu::TargetArchs::builtWith(FeatureSet) { throw_nogpu; return false; }
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bool cv::gpu::TargetArchs::has(int, int) { throw_nogpu; return false; }
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bool cv::gpu::TargetArchs::hasPtx(int, int) { throw_nogpu; return false; }
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bool cv::gpu::TargetArchs::hasBin(int, int) { throw_nogpu; return false; }
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bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int, int) { throw_nogpu; return false; }
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bool cv::gpu::TargetArchs::hasEqualOrGreater(int, int) { throw_nogpu; return false; }
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bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int, int) { throw_nogpu; return false; }
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bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int, int) { throw_nogpu; return false; }
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size_t cv::gpu::DeviceInfo::sharedMemPerBlock() const { throw_nogpu; return 0; }
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void cv::gpu::DeviceInfo::queryMemory(size_t&, size_t&) const { throw_nogpu; }
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size_t cv::gpu::DeviceInfo::freeMemory() const { throw_nogpu; return 0; }
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size_t cv::gpu::DeviceInfo::totalMemory() const { throw_nogpu; return 0; }
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bool cv::gpu::DeviceInfo::supports(FeatureSet) const { throw_nogpu; return false; }
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bool cv::gpu::DeviceInfo::isCompatible() const { throw_nogpu; return false; }
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void cv::gpu::DeviceInfo::query() { throw_nogpu; }
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void cv::gpu::printCudaDeviceInfo(int) { throw_nogpu; }
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void cv::gpu::printShortCudaDeviceInfo(int) { throw_nogpu; }
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#else // HAVE_CUDA
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int cv::gpu::getCudaEnabledDeviceCount()
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{
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int count;
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cudaError_t error = cudaGetDeviceCount( &count );
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if (error == cudaErrorInsufficientDriver)
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return -1;
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if (error == cudaErrorNoDevice)
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return 0;
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cudaSafeCall( error );
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return count;
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}
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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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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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void cv::gpu::resetDevice()
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{
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cudaSafeCall( cudaDeviceReset() );
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}
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namespace
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{
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class CudaArch
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@ -92,11 +192,9 @@ namespace
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CudaArch::CudaArch()
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{
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#ifdef HAVE_CUDA
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fromStr(CUDA_ARCH_BIN, bin);
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fromStr(CUDA_ARCH_PTX, ptx);
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fromStr(CUDA_ARCH_FEATURES, features);
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#endif
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}
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bool CudaArch::builtWith(FeatureSet feature_set) const
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@ -149,12 +247,7 @@ namespace
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bool cv::gpu::TargetArchs::builtWith(cv::gpu::FeatureSet feature_set)
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{
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#if defined (HAVE_CUDA)
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return cudaArch.builtWith(feature_set);
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#else
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(void)feature_set;
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return false;
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#endif
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}
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bool cv::gpu::TargetArchs::has(int major, int minor)
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@ -164,35 +257,17 @@ bool cv::gpu::TargetArchs::has(int major, int minor)
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bool cv::gpu::TargetArchs::hasPtx(int major, int minor)
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{
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#if defined (HAVE_CUDA)
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return cudaArch.hasPtx(major, minor);
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#else
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(void)major;
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(void)minor;
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return false;
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#endif
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}
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bool cv::gpu::TargetArchs::hasBin(int major, int minor)
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{
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#if defined (HAVE_CUDA)
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return cudaArch.hasBin(major, minor);
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#else
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(void)major;
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(void)minor;
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return false;
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#endif
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}
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bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int major, int minor)
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{
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#if defined (HAVE_CUDA)
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return cudaArch.hasEqualOrLessPtx(major, minor);
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#else
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(void)major;
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(void)minor;
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return false;
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#endif
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}
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bool cv::gpu::TargetArchs::hasEqualOrGreater(int major, int minor)
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@ -202,24 +277,12 @@ bool cv::gpu::TargetArchs::hasEqualOrGreater(int major, int minor)
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bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int major, int minor)
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{
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#if defined (HAVE_CUDA)
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return cudaArch.hasEqualOrGreaterPtx(major, minor);
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#else
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(void)major;
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(void)minor;
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return false;
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#endif
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}
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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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return cudaArch.hasEqualOrGreaterBin(major, minor);
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#else
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(void)major;
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(void)minor;
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return false;
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#endif
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}
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bool cv::gpu::deviceSupports(FeatureSet feature_set)
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@ -247,108 +310,84 @@ bool cv::gpu::deviceSupports(FeatureSet feature_set)
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return TargetArchs::builtWith(feature_set) && (version >= feature_set);
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}
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#if !defined (HAVE_CUDA)
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#define throw_nogpu CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support")
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int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
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void cv::gpu::setDevice(int) { throw_nogpu; }
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int cv::gpu::getDevice() { throw_nogpu; return 0; }
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void cv::gpu::resetDevice() { throw_nogpu; }
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size_t cv::gpu::DeviceInfo::freeMemory() const { throw_nogpu; return 0; }
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size_t cv::gpu::DeviceInfo::totalMemory() const { throw_nogpu; return 0; }
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bool cv::gpu::DeviceInfo::supports(cv::gpu::FeatureSet) const { throw_nogpu; return false; }
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bool cv::gpu::DeviceInfo::isCompatible() const { throw_nogpu; return false; }
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void cv::gpu::DeviceInfo::query() { throw_nogpu; }
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void cv::gpu::DeviceInfo::queryMemory(size_t&, size_t&) const { throw_nogpu; }
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void cv::gpu::printCudaDeviceInfo(int) { throw_nogpu; }
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void cv::gpu::printShortCudaDeviceInfo(int) { throw_nogpu; }
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#undef throw_nogpu
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#else // HAVE_CUDA
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namespace
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{
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#if defined(__GNUC__)
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#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
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#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
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#else /* defined(__CUDACC__) || defined(__MSVC__) */
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#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
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#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
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#endif
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inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
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class DeviceProps
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{
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if (cudaSuccess != err)
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cv::gpu::error(cudaGetErrorString(err), file, line, func);
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public:
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DeviceProps();
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~DeviceProps();
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cudaDeviceProp* get(int devID);
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private:
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std::vector<cudaDeviceProp*> props_;
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};
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DeviceProps::DeviceProps()
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{
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props_.resize(10, 0);
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}
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inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
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DeviceProps::~DeviceProps()
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{
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if (err < 0)
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for (size_t i = 0; i < props_.size(); ++i)
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{
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std::ostringstream msg;
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msg << "NPP API Call Error: " << err;
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cv::gpu::error(msg.str().c_str(), file, line, func);
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if (props_[i])
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delete props_[i];
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}
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props_.clear();
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}
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cudaDeviceProp* DeviceProps::get(int devID)
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{
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if (devID >= (int) props_.size())
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props_.resize(devID + 5, 0);
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if (!props_[devID])
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{
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props_[devID] = new cudaDeviceProp;
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cudaSafeCall( cudaGetDeviceProperties(props_[devID], devID) );
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}
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return props_[devID];
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}
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DeviceProps deviceProps;
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}
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int cv::gpu::getCudaEnabledDeviceCount()
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size_t cv::gpu::DeviceInfo::sharedMemPerBlock() const
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{
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int count;
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cudaError_t error = cudaGetDeviceCount( &count );
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if (error == cudaErrorInsufficientDriver)
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return -1;
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if (error == cudaErrorNoDevice)
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return 0;
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cudaSafeCall(error);
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return count;
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return deviceProps.get(device_id_)->sharedMemPerBlock;
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}
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void cv::gpu::setDevice(int device)
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void cv::gpu::DeviceInfo::queryMemory(size_t& totalMemory, size_t& freeMemory) const
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{
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cudaSafeCall( cudaSetDevice( device ) );
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}
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int prevDeviceID = getDevice();
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if (prevDeviceID != device_id_)
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setDevice(device_id_);
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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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cudaSafeCall( cudaMemGetInfo(&freeMemory, &totalMemory) );
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void cv::gpu::resetDevice()
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{
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cudaSafeCall( cudaDeviceReset() );
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if (prevDeviceID != device_id_)
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setDevice(prevDeviceID);
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}
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size_t cv::gpu::DeviceInfo::freeMemory() const
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{
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size_t free_memory, total_memory;
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queryMemory(free_memory, total_memory);
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return free_memory;
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size_t totalMemory, freeMemory;
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queryMemory(totalMemory, freeMemory);
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return freeMemory;
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}
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size_t cv::gpu::DeviceInfo::totalMemory() const
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{
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size_t free_memory, total_memory;
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queryMemory(free_memory, total_memory);
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return total_memory;
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size_t totalMemory, freeMemory;
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queryMemory(totalMemory, freeMemory);
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return totalMemory;
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}
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bool cv::gpu::DeviceInfo::supports(cv::gpu::FeatureSet feature_set) const
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bool cv::gpu::DeviceInfo::supports(FeatureSet feature_set) const
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{
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int version = majorVersion() * 10 + minorVersion();
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return version >= feature_set;
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@ -370,24 +409,12 @@ bool cv::gpu::DeviceInfo::isCompatible() const
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||||
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void cv::gpu::DeviceInfo::query()
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{
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cudaDeviceProp prop;
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cudaSafeCall(cudaGetDeviceProperties(&prop, device_id_));
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name_ = prop.name;
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multi_processor_count_ = prop.multiProcessorCount;
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majorVersion_ = prop.major;
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minorVersion_ = prop.minor;
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}
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const cudaDeviceProp* prop = deviceProps.get(device_id_);
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void cv::gpu::DeviceInfo::queryMemory(size_t& free_memory, size_t& total_memory) const
|
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{
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int prev_device_id = getDevice();
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if (prev_device_id != device_id_)
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setDevice(device_id_);
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cudaSafeCall(cudaMemGetInfo(&free_memory, &total_memory));
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if (prev_device_id != device_id_)
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setDevice(prev_device_id);
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name_ = prop->name;
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multi_processor_count_ = prop->multiProcessorCount;
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majorVersion_ = prop->major;
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minorVersion_ = prop->minor;
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}
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namespace
|
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@ -764,6 +791,50 @@ cv::Mat::Mat(const GpuMat& m) : flags(0), dims(0), rows(0), cols(0), data(0), re
|
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m.download(*this);
|
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}
|
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|
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void cv::gpu::createContinuous(int rows, int cols, int type, GpuMat& m)
|
||||
{
|
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int area = rows * cols;
|
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if (m.empty() || m.type() != type || !m.isContinuous() || m.size().area() < area)
|
||||
m.create(1, area, type);
|
||||
|
||||
m.cols = cols;
|
||||
m.rows = rows;
|
||||
m.step = m.elemSize() * cols;
|
||||
m.flags |= Mat::CONTINUOUS_FLAG;
|
||||
}
|
||||
|
||||
void cv::gpu::ensureSizeIsEnough(int rows, int cols, int type, GpuMat& m)
|
||||
{
|
||||
if (m.empty() || m.type() != type || m.data != m.datastart)
|
||||
m.create(rows, cols, type);
|
||||
else
|
||||
{
|
||||
const size_t esz = m.elemSize();
|
||||
const ptrdiff_t delta2 = m.dataend - m.datastart;
|
||||
|
||||
const size_t minstep = m.cols * esz;
|
||||
|
||||
Size wholeSize;
|
||||
wholeSize.height = std::max(static_cast<int>((delta2 - minstep) / m.step + 1), m.rows);
|
||||
wholeSize.width = std::max(static_cast<int>((delta2 - m.step * (wholeSize.height - 1)) / esz), m.cols);
|
||||
|
||||
if (wholeSize.height < rows || wholeSize.width < cols)
|
||||
m.create(rows, cols, type);
|
||||
else
|
||||
{
|
||||
m.cols = cols;
|
||||
m.rows = rows;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
GpuMat cv::gpu::allocMatFromBuf(int rows, int cols, int type, GpuMat &mat)
|
||||
{
|
||||
if (!mat.empty() && mat.type() == type && mat.rows >= rows && mat.cols >= cols)
|
||||
return mat(Rect(0, 0, cols, rows));
|
||||
return mat = GpuMat(rows, cols, type);
|
||||
}
|
||||
|
||||
namespace
|
||||
{
|
||||
class GpuFuncTable
|
||||
@ -787,25 +858,25 @@ namespace
|
||||
};
|
||||
}
|
||||
|
||||
#if !defined HAVE_CUDA || defined(CUDA_DISABLER_)
|
||||
#ifndef HAVE_CUDA
|
||||
|
||||
namespace
|
||||
{
|
||||
class EmptyFuncTable : public GpuFuncTable
|
||||
{
|
||||
public:
|
||||
void copy(const Mat&, GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void copy(const GpuMat&, Mat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void copy(const GpuMat&, GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void copy(const Mat&, GpuMat&) const { throw_nogpu; }
|
||||
void copy(const GpuMat&, Mat&) const { throw_nogpu; }
|
||||
void copy(const GpuMat&, GpuMat&) const { throw_nogpu; }
|
||||
|
||||
void copyWithMask(const GpuMat&, GpuMat&, const GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void copyWithMask(const GpuMat&, GpuMat&, const GpuMat&) const { throw_nogpu; }
|
||||
|
||||
void convert(const GpuMat&, GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void convert(const GpuMat&, GpuMat&, double, double) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void convert(const GpuMat&, GpuMat&) const { throw_nogpu; }
|
||||
void convert(const GpuMat&, GpuMat&, double, double) const { throw_nogpu; }
|
||||
|
||||
void setTo(GpuMat&, Scalar, const GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void setTo(GpuMat&, Scalar, const GpuMat&) const { throw_nogpu; }
|
||||
|
||||
void mallocPitch(void**, size_t*, size_t, size_t) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
|
||||
void mallocPitch(void**, size_t*, size_t, size_t) const { throw_nogpu; }
|
||||
void free(void*) const {}
|
||||
};
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user