Chiebot-Mirror
/
opencv
mirror of https://github.com/opencv/opencv.git
8
0
Fork 0
Code Issues Projects Releases Wiki Activity

refactored gpu info structures (TargetArchs and DeviceInfo)

Browse Source 
now DeviceInfo provides full information about device (from cudaDeviceProp)
pull/974/head
Vladislav Vinogradov 12 years ago
parent 76f4b02b06
commit 2dab93c2e8
13 changed files with 929 additions and 186 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 215
      modules/core/include/opencv2/core/gpu.hpp
  2. 56
      modules/core/include/opencv2/core/gpu.inl.hpp
  3. 806
      modules/core/src/gpu_info.cpp
  4. 4
      modules/gpufilters/src/filtering.cpp
  5. 2
      modules/gpuoptflow/test/test_optflow.cpp
  6. 2
      modules/gpustereo/src/stereobm.cpp
  7. 4
      modules/ts/src/gpu_perf.cpp
  8. 4
      modules/ts/src/ts_perf.cpp
  9. 4
      samples/gpu/driver_api_multi.cpp
  10. 4
      samples/gpu/driver_api_stereo_multi.cpp
  11. 4
      samples/gpu/multi.cpp
  12. 2
      samples/gpu/performance/performance.cpp
  13. 4
      samples/gpu/stereo_multi.cpp

215
modules/core/include/opencv2/core/gpu.hpp
Unescape View File

@ -392,17 +392,17 @@ private:
//////////////////////////////// Initialization & Info ////////////////////////
//! This is the only function that do not throw exceptions if the library is compiled without Cuda.
//! this is the only function that do not throw exceptions if the library is compiled without CUDA
CV_EXPORTS int getCudaEnabledDeviceCount();
//! Functions below throw cv::Expception if the library is compiled without Cuda.
//! set device to be used for GPU executions for the calling host thread
CV_EXPORTS void setDevice(int device);
//! returns which device is currently being used for the calling host thread
CV_EXPORTS int getDevice();
//! Explicitly destroys and cleans up all resources associated with the current device in the current process.
//! Any subsequent API call to this device will reinitialize the device.
//! explicitly destroys and cleans up all resources associated with the current device in the current process
//! any subsequent API call to this device will reinitialize the device
CV_EXPORTS void resetDevice();
enum FeatureSet
@ -423,75 +423,218 @@ enum FeatureSet
DYNAMIC_PARALLELISM = FEATURE_SET_COMPUTE_35
};
// Checks whether current device supports the given feature
//! checks whether current device supports the given feature
CV_EXPORTS bool deviceSupports(FeatureSet feature_set);
// Gives information about what GPU archs this OpenCV GPU module was
// compiled for
//! information about what GPU archs this OpenCV GPU module was compiled for
class CV_EXPORTS TargetArchs
{
public:
static bool builtWith(FeatureSet feature_set);
static bool has(int major, int minor);
static bool hasPtx(int major, int minor);
static bool hasBin(int major, int minor);
static bool hasEqualOrLessPtx(int major, int minor);
static bool hasEqualOrGreater(int major, int minor);
static bool hasEqualOrGreaterPtx(int major, int minor);
static bool hasEqualOrGreaterBin(int major, int minor);
private:
TargetArchs();
};
// Gives information about the given GPU
//! information about the given GPU.
class CV_EXPORTS DeviceInfo
{
public:
// Creates DeviceInfo object for the current GPU
DeviceInfo() : device_id_(getDevice()) { query(); }
//! creates DeviceInfo object for the current GPU
DeviceInfo();
// Creates DeviceInfo object for the given GPU
DeviceInfo(int device_id) : device_id_(device_id) { query(); }
//! creates DeviceInfo object for the given GPU
DeviceInfo(int device_id);
String name() const { return name_; }
//! device number.
int deviceID() const;
// Return compute capability versions
int majorVersion() const { return majorVersion_; }
int minorVersion() const { return minorVersion_; }
//! ASCII string identifying device
const char* name() const;
int multiProcessorCount() const { return multi_processor_count_; }
//! global memory available on device in bytes
size_t totalGlobalMem() const;
//! shared memory available per block in bytes
size_t sharedMemPerBlock() const;
//! 32-bit registers available per block
int regsPerBlock() const;
//! warp size in threads
int warpSize() const;
//! maximum pitch in bytes allowed by memory copies
size_t memPitch() const;
//! maximum number of threads per block
int maxThreadsPerBlock() const;
//! maximum size of each dimension of a block
Vec3i maxThreadsDim() const;
//! maximum size of each dimension of a grid
Vec3i maxGridSize() const;
//! clock frequency in kilohertz
int clockRate() const;
//! constant memory available on device in bytes
size_t totalConstMem() const;
//! major compute capability
int major() const;
//! minor compute capability
int minor() const;
//! alignment requirement for textures
size_t textureAlignment() const;
//! pitch alignment requirement for texture references bound to pitched memory
size_t texturePitchAlignment() const;
//! number of multiprocessors on device
int multiProcessorCount() const;
//! specified whether there is a run time limit on kernels
bool kernelExecTimeoutEnabled() const;
//! device is integrated as opposed to discrete
bool integrated() const;
//! device can map host memory with cudaHostAlloc/cudaHostGetDevicePointer
bool canMapHostMemory() const;
enum ComputeMode
{
ComputeModeDefault, /**< default compute mode (Multiple threads can use ::cudaSetDevice() with this device) */
ComputeModeExclusive, /**< compute-exclusive-thread mode (Only one thread in one process will be able to use ::cudaSetDevice() with this device) */
ComputeModeProhibited, /**< compute-prohibited mode (No threads can use ::cudaSetDevice() with this device) */
ComputeModeExclusiveProcess /**< compute-exclusive-process mode (Many threads in one process will be able to use ::cudaSetDevice() with this device) */
};
//! compute mode
ComputeMode computeMode() const;
//! maximum 1D texture size
int maxTexture1D() const;
//! maximum 1D mipmapped texture size
int maxTexture1DMipmap() const;
//! maximum size for 1D textures bound to linear memory
int maxTexture1DLinear() const;
//! maximum 2D texture dimensions
Vec2i maxTexture2D() const;
//! maximum 2D mipmapped texture dimensions
Vec2i maxTexture2DMipmap() const;
//! maximum dimensions (width, height, pitch) for 2D textures bound to pitched memory
Vec3i maxTexture2DLinear() const;
//! maximum 2D texture dimensions if texture gather operations have to be performed
Vec2i maxTexture2DGather() const;
//! maximum 3D texture dimensions
Vec3i maxTexture3D() const;
//! maximum Cubemap texture dimensions
int maxTextureCubemap() const;
//! maximum 1D layered texture dimensions
Vec2i maxTexture1DLayered() const;
//! maximum 2D layered texture dimensions
Vec3i maxTexture2DLayered() const;
//! maximum Cubemap layered texture dimensions
Vec2i maxTextureCubemapLayered() const;
//! maximum 1D surface size
int maxSurface1D() const;
//! maximum 2D surface dimensions
Vec2i maxSurface2D() const;
//! maximum 3D surface dimensions
Vec3i maxSurface3D() const;
//! maximum 1D layered surface dimensions
Vec2i maxSurface1DLayered() const;
//! maximum 2D layered surface dimensions
Vec3i maxSurface2DLayered() const;
//! maximum Cubemap surface dimensions
int maxSurfaceCubemap() const;
//! maximum Cubemap layered surface dimensions
Vec2i maxSurfaceCubemapLayered() const;
//! alignment requirements for surfaces
size_t surfaceAlignment() const;
//! device can possibly execute multiple kernels concurrently
bool concurrentKernels() const;
//! device has ECC support enabled
bool ECCEnabled() const;
//! PCI bus ID of the device
int pciBusID() const;
//! PCI device ID of the device
int pciDeviceID() const;
//! PCI domain ID of the device
int pciDomainID() const;
//! true if device is a Tesla device using TCC driver, false otherwise
bool tccDriver() const;
//! number of asynchronous engines
int asyncEngineCount() const;
//! device shares a unified address space with the host
bool unifiedAddressing() const;
//! peak memory clock frequency in kilohertz
int memoryClockRate() const;
//! global memory bus width in bits
int memoryBusWidth() const;
//! size of L2 cache in bytes
int l2CacheSize() const;
//! maximum resident threads per multiprocessor
int maxThreadsPerMultiProcessor() const;
//! gets free and total device memory
void queryMemory(size_t& totalMemory, size_t& freeMemory) const;
size_t freeMemory() const;
size_t totalMemory() const;
// Checks whether device supports the given feature
//! checks whether device supports the given feature
bool supports(FeatureSet feature_set) const;
// Checks whether the GPU module can be run on the given device
//! checks whether the GPU module can be run on the given device
bool isCompatible() const;
bool canMapHostMemory() const;
size_t textureAlignment() const;
int deviceID() const { return device_id_; }
private:
void query();
int device_id_;
String name_;
int multi_processor_count_;
int majorVersion_;
int minorVersion_;
};
CV_EXPORTS void printCudaDeviceInfo(int device);
CV_EXPORTS void printShortCudaDeviceInfo(int device);
}} // namespace cv { namespace gpu {

56
modules/core/include/opencv2/core/gpu.inl.hpp
Unescape View File

@ -567,6 +567,62 @@ Stream::Stream(const Ptr<Impl>& impl)
{
}
//////////////////////////////// Initialization & Info ////////////////////////
inline
bool TargetArchs::has(int major, int minor)
{
return hasPtx(major, minor) || hasBin(major, minor);
}
inline
bool TargetArchs::hasEqualOrGreater(int major, int minor)
{
return hasEqualOrGreaterPtx(major, minor) || hasEqualOrGreaterBin(major, minor);
}
inline
DeviceInfo::DeviceInfo()
{
device_id_ = getDevice();
}
inline
DeviceInfo::DeviceInfo(int device_id)
{
CV_Assert( device_id >= 0 && device_id < getCudaEnabledDeviceCount() );
device_id_ = device_id;
}
inline
int DeviceInfo::deviceID() const
{
return device_id_;
}
inline
size_t DeviceInfo::freeMemory() const
{
size_t _totalMemory, _freeMemory;
queryMemory(_totalMemory, _freeMemory);
return _freeMemory;
}
inline
size_t DeviceInfo::totalMemory() const
{
size_t _totalMemory, _freeMemory;
queryMemory(_totalMemory, _freeMemory);
return _totalMemory;
}
inline
bool DeviceInfo::supports(FeatureSet feature_set) const
{
int version = major() * 10 + minor();
return version >= feature_set;
}
}} // namespace cv { namespace gpu {
//////////////////////////////// Mat ////////////////////////////////

806
modules/core/src/gpu.cpp → modules/core/src/gpu_info.cpp
Unescape View File

@ -41,50 +41,17 @@
//M*/
#include "precomp.hpp"
#include <limits>
using namespace cv;
using namespace cv::gpu;
//////////////////////////////// Initialization & Info ////////////////////////
#ifndef HAVE_CUDA
int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
void cv::gpu::setDevice(int) { throw_no_cuda(); }
int cv::gpu::getDevice() { throw_no_cuda(); return 0; }
void cv::gpu::resetDevice() { throw_no_cuda(); }
bool cv::gpu::deviceSupports(FeatureSet) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::builtWith(FeatureSet) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::has(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasPtx(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasBin(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreater(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int, int) { throw_no_cuda(); return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int, int) { throw_no_cuda(); return false; }
size_t cv::gpu::DeviceInfo::sharedMemPerBlock() const { throw_no_cuda(); return 0; }
void cv::gpu::DeviceInfo::queryMemory(size_t&, size_t&) const { throw_no_cuda(); }
size_t cv::gpu::DeviceInfo::freeMemory() const { throw_no_cuda(); return 0; }
size_t cv::gpu::DeviceInfo::totalMemory() const { throw_no_cuda(); return 0; }
bool cv::gpu::DeviceInfo::supports(FeatureSet) const { throw_no_cuda(); return false; }
bool cv::gpu::DeviceInfo::isCompatible() const { throw_no_cuda(); return false; }
void cv::gpu::DeviceInfo::query() { throw_no_cuda(); }
void cv::gpu::printCudaDeviceInfo(int) { throw_no_cuda(); }
void cv::gpu::printShortCudaDeviceInfo(int) { throw_no_cuda(); }
#else // HAVE_CUDA
int cv::gpu::getCudaEnabledDeviceCount()
{
#ifndef HAVE_CUDA
return 0;
#else
int count;
cudaError_t error = cudaGetDeviceCount( &count );
cudaError_t error = cudaGetDeviceCount(&count);
if (error == cudaErrorInsufficientDriver)
return -1;
@ -94,25 +61,78 @@ int cv::gpu::getCudaEnabledDeviceCount()
cudaSafeCall( error );
return count;
#endif
}
void cv::gpu::setDevice(int device)
{
cudaSafeCall( cudaSetDevice( device ) );
#ifndef HAVE_CUDA
(void) device;
throw_no_cuda();
#else
cudaSafeCall( cudaSetDevice(device) );
#endif
}
int cv::gpu::getDevice()
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
int device;
cudaSafeCall( cudaGetDevice( &device ) );
cudaSafeCall( cudaGetDevice(&device) );
return device;
#endif
}
void cv::gpu::resetDevice()
{
#ifndef HAVE_CUDA
throw_no_cuda();
#else
cudaSafeCall( cudaDeviceReset() );
#endif
}
bool cv::gpu::deviceSupports(FeatureSet feature_set)
{
#ifndef HAVE_CUDA
(void) feature_set;
throw_no_cuda();
return false;
#else
static int versions[] =
{
-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1
};
static const int cache_size = static_cast<int>(sizeof(versions) / sizeof(versions[0]));
const int devId = getDevice();
int version;
if (devId < cache_size && versions[devId] >= 0)
{
version = versions[devId];
}
else
{
DeviceInfo dev(devId);
version = dev.major() * 10 + dev.minor();
if (devId < cache_size)
versions[devId] = version;
}
return TargetArchs::builtWith(feature_set) && (version >= feature_set);
#endif
}
////////////////////////////////////////////////////////////////////////
// TargetArchs
#ifdef HAVE_CUDA
namespace
{
class CudaArch
@ -128,7 +148,7 @@ namespace
bool hasEqualOrGreaterBin(int major, int minor) const;
private:
static void fromStr(const String& set_as_str, std::vector<int>& arr);
static void fromStr(const char* set_as_str, std::vector<int>& arr);
std::vector<int> bin;
std::vector<int> ptx;
@ -174,12 +194,14 @@ namespace
return !bin.empty() && (bin.back() >= major * 10 + minor);
}
void CudaArch::fromStr(const String& set_as_str, std::vector<int>& arr)
void CudaArch::fromStr(const char* set_as_str, std::vector<int>& arr)
{
arr.clear();
const size_t len = strlen(set_as_str);
size_t pos = 0;
while (pos < set_as_str.size())
while (pos < len)
{
if (isspace(set_as_str[pos]))
{
@ -189,8 +211,8 @@ namespace
{
int cur_value;
int chars_read;
int args_read = sscanf(set_as_str.c_str() + pos, "%d%n", &cur_value, &chars_read);
CV_Assert(args_read == 1);
int args_read = sscanf(set_as_str + pos, "%d%n", &cur_value, &chars_read);
CV_Assert( args_read == 1 );
arr.push_back(cur_value);
pos += chars_read;
@ -201,70 +223,83 @@ namespace
}
}
#endif
bool cv::gpu::TargetArchs::builtWith(cv::gpu::FeatureSet feature_set)
{
#ifndef HAVE_CUDA
(void) feature_set;
throw_no_cuda();
return false;
#else
return cudaArch.builtWith(feature_set);
}
bool cv::gpu::TargetArchs::has(int major, int minor)
{
return hasPtx(major, minor) || hasBin(major, minor);
#endif
}
bool cv::gpu::TargetArchs::hasPtx(int major, int minor)
{
#ifndef HAVE_CUDA
(void) major;
(void) minor;
throw_no_cuda();
return false;
#else
return cudaArch.hasPtx(major, minor);
#endif
}
bool cv::gpu::TargetArchs::hasBin(int major, int minor)
{
#ifndef HAVE_CUDA
(void) major;
(void) minor;
throw_no_cuda();
return false;
#else
return cudaArch.hasBin(major, minor);
#endif
}
bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int major, int minor)
{
#ifndef HAVE_CUDA
(void) major;
(void) minor;
throw_no_cuda();
return false;
#else
return cudaArch.hasEqualOrLessPtx(major, minor);
}
bool cv::gpu::TargetArchs::hasEqualOrGreater(int major, int minor)
{
return hasEqualOrGreaterPtx(major, minor) || hasEqualOrGreaterBin(major, minor);
#endif
}
bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int major, int minor)
{
#ifndef HAVE_CUDA
(void) major;
(void) minor;
throw_no_cuda();
return false;
#else
return cudaArch.hasEqualOrGreaterPtx(major, minor);
#endif
}
bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int major, int minor)
{
#ifndef HAVE_CUDA
(void) major;
(void) minor;
throw_no_cuda();
return false;
#else
return cudaArch.hasEqualOrGreaterBin(major, minor);
#endif
}
bool cv::gpu::deviceSupports(FeatureSet feature_set)
{
static int versions[] =
{
-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1
};
static const int cache_size = static_cast<int>(sizeof(versions) / sizeof(versions[0]));
const int devId = getDevice();
int version;
if (devId < cache_size && versions[devId] >= 0)
version = versions[devId];
else
{
DeviceInfo dev(devId);
version = dev.majorVersion() * 10 + dev.minorVersion();
if (devId < cache_size)
versions[devId] = version;
}
////////////////////////////////////////////////////////////////////////
// DeviceInfo
return TargetArchs::builtWith(feature_set) && (version >= feature_set);
}
#ifdef HAVE_CUDA
namespace
{
@ -272,116 +307,613 @@ namespace
{
public:
DeviceProps();
~DeviceProps();
cudaDeviceProp* get(int devID);
const cudaDeviceProp* get(int devID) const;
private:
std::vector<cudaDeviceProp*> props_;
std::vector<cudaDeviceProp> props_;
};
DeviceProps::DeviceProps()
{
props_.resize(10, 0);
}
int count = getCudaEnabledDeviceCount();
DeviceProps::~DeviceProps()
if (count > 0)
{
for (size_t i = 0; i < props_.size(); ++i)
props_.resize(count);
for (int devID = 0; devID < count; ++devID)
{
if (props_[i])
delete props_[i];
cudaSafeCall( cudaGetDeviceProperties(&props_[devID], devID) );
}
}
props_.clear();
}
cudaDeviceProp* DeviceProps::get(int devID)
const cudaDeviceProp* DeviceProps::get(int devID) const
{
if (devID >= (int) props_.size())
props_.resize(devID + 5, 0);
CV_Assert( static_cast<size_t>(devID) < props_.size() );
if (!props_[devID])
{
props_[devID] = new cudaDeviceProp;
cudaSafeCall( cudaGetDeviceProperties(props_[devID], devID) );
return &props_[devID];
}
return props_[devID];
DeviceProps& deviceProps()
{
static DeviceProps props;
return props;
}
}
DeviceProps deviceProps;
#endif
const char* cv::gpu::DeviceInfo::name() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return "";
#else
return deviceProps().get(device_id_)->name;
#endif
}
size_t cv::gpu::DeviceInfo::totalGlobalMem() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->totalGlobalMem;
#endif
}
size_t cv::gpu::DeviceInfo::sharedMemPerBlock() const
{
return deviceProps.get(device_id_)->sharedMemPerBlock;
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->sharedMemPerBlock;
#endif
}
bool cv::gpu::DeviceInfo::canMapHostMemory() const
int cv::gpu::DeviceInfo::regsPerBlock() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->regsPerBlock;
#endif
}
int cv::gpu::DeviceInfo::warpSize() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->warpSize;
#endif
}
size_t cv::gpu::DeviceInfo::memPitch() const
{
return deviceProps.get(device_id_)->canMapHostMemory != 0;
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->memPitch;
#endif
}
int cv::gpu::DeviceInfo::maxThreadsPerBlock() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->maxThreadsPerBlock;
#endif
}
Vec3i cv::gpu::DeviceInfo::maxThreadsDim() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec3i();
#else
return Vec3i(deviceProps().get(device_id_)->maxThreadsDim);
#endif
}
Vec3i cv::gpu::DeviceInfo::maxGridSize() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec3i();
#else
return Vec3i(deviceProps().get(device_id_)->maxGridSize);
#endif
}
int cv::gpu::DeviceInfo::clockRate() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->clockRate;
#endif
}
size_t cv::gpu::DeviceInfo::totalConstMem() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->totalConstMem;
#endif
}
int cv::gpu::DeviceInfo::major() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->major;
#endif
}
int cv::gpu::DeviceInfo::minor() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->minor;
#endif
}
size_t cv::gpu::DeviceInfo::textureAlignment() const
{
return deviceProps.get(device_id_)->textureAlignment;
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->textureAlignment;
#endif
}
void cv::gpu::DeviceInfo::queryMemory(size_t& _totalMemory, size_t& _freeMemory) const
size_t cv::gpu::DeviceInfo::texturePitchAlignment() const
{
int prevDeviceID = getDevice();
if (prevDeviceID != device_id_)
setDevice(device_id_);
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->texturePitchAlignment;
#endif
}
cudaSafeCall( cudaMemGetInfo(&_freeMemory, &_totalMemory) );
int cv::gpu::DeviceInfo::multiProcessorCount() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->multiProcessorCount;
#endif
}
if (prevDeviceID != device_id_)
setDevice(prevDeviceID);
bool cv::gpu::DeviceInfo::kernelExecTimeoutEnabled() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return false;
#else
return deviceProps().get(device_id_)->kernelExecTimeoutEnabled != 0;
#endif
}
size_t cv::gpu::DeviceInfo::freeMemory() const
bool cv::gpu::DeviceInfo::integrated() const
{
size_t _totalMemory, _freeMemory;
queryMemory(_totalMemory, _freeMemory);
return _freeMemory;
#ifndef HAVE_CUDA
throw_no_cuda();
return false;
#else
return deviceProps().get(device_id_)->integrated != 0;
#endif
}
size_t cv::gpu::DeviceInfo::totalMemory() const
bool cv::gpu::DeviceInfo::canMapHostMemory() const
{
size_t _totalMemory, _freeMemory;
queryMemory(_totalMemory, _freeMemory);
return _totalMemory;
#ifndef HAVE_CUDA
throw_no_cuda();
return false;
#else
return deviceProps().get(device_id_)->canMapHostMemory != 0;
#endif
}
bool cv::gpu::DeviceInfo::supports(FeatureSet feature_set) const
DeviceInfo::ComputeMode cv::gpu::DeviceInfo::computeMode() const
{
int version = majorVersion() * 10 + minorVersion();
return version >= feature_set;
#ifndef HAVE_CUDA
throw_no_cuda();
return ComputeModeDefault;
#else
static const ComputeMode tbl[] =
{
ComputeModeDefault,
ComputeModeExclusive,
ComputeModeProhibited,
ComputeModeExclusiveProcess
};
return tbl[deviceProps().get(device_id_)->computeMode];
#endif
}
int cv::gpu::DeviceInfo::maxTexture1D() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->maxTexture1D;
#endif
}
int cv::gpu::DeviceInfo::maxTexture1DMipmap() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->maxTexture1DMipmap;
#endif
}
int cv::gpu::DeviceInfo::maxTexture1DLinear() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->maxTexture1DLinear;
#endif
}
Vec2i cv::gpu::DeviceInfo::maxTexture2D() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec2i();
#else
return Vec2i(deviceProps().get(device_id_)->maxTexture2D);
#endif
}
Vec2i cv::gpu::DeviceInfo::maxTexture2DMipmap() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec2i();
#else
return Vec2i(deviceProps().get(device_id_)->maxTexture2DMipmap);
#endif
}
Vec3i cv::gpu::DeviceInfo::maxTexture2DLinear() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec3i();
#else
return Vec3i(deviceProps().get(device_id_)->maxTexture2DLinear);
#endif
}
Vec2i cv::gpu::DeviceInfo::maxTexture2DGather() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec2i();
#else
return Vec2i(deviceProps().get(device_id_)->maxTexture2DGather);
#endif
}
Vec3i cv::gpu::DeviceInfo::maxTexture3D() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec3i();
#else
return Vec3i(deviceProps().get(device_id_)->maxTexture3D);
#endif
}
int cv::gpu::DeviceInfo::maxTextureCubemap() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->maxTextureCubemap;
#endif
}
Vec2i cv::gpu::DeviceInfo::maxTexture1DLayered() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec2i();
#else
return Vec2i(deviceProps().get(device_id_)->maxTexture1DLayered);
#endif
}
Vec3i cv::gpu::DeviceInfo::maxTexture2DLayered() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec3i();
#else
return Vec3i(deviceProps().get(device_id_)->maxTexture2DLayered);
#endif
}
Vec2i cv::gpu::DeviceInfo::maxTextureCubemapLayered() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec2i();
#else
return Vec2i(deviceProps().get(device_id_)->maxTextureCubemapLayered);
#endif
}
int cv::gpu::DeviceInfo::maxSurface1D() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->maxSurface1D;
#endif
}
Vec2i cv::gpu::DeviceInfo::maxSurface2D() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec2i();
#else
return Vec2i(deviceProps().get(device_id_)->maxSurface2D);
#endif
}
Vec3i cv::gpu::DeviceInfo::maxSurface3D() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec3i();
#else
return Vec3i(deviceProps().get(device_id_)->maxSurface3D);
#endif
}
Vec2i cv::gpu::DeviceInfo::maxSurface1DLayered() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec2i();
#else
return Vec2i(deviceProps().get(device_id_)->maxSurface1DLayered);
#endif
}
Vec3i cv::gpu::DeviceInfo::maxSurface2DLayered() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec3i();
#else
return Vec3i(deviceProps().get(device_id_)->maxSurface2DLayered);
#endif
}
int cv::gpu::DeviceInfo::maxSurfaceCubemap() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->maxSurfaceCubemap;
#endif
}
Vec2i cv::gpu::DeviceInfo::maxSurfaceCubemapLayered() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return Vec2i();
#else
return Vec2i(deviceProps().get(device_id_)->maxSurfaceCubemapLayered);
#endif
}
size_t cv::gpu::DeviceInfo::surfaceAlignment() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->surfaceAlignment;
#endif
}
bool cv::gpu::DeviceInfo::concurrentKernels() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return false;
#else
return deviceProps().get(device_id_)->concurrentKernels != 0;
#endif
}
bool cv::gpu::DeviceInfo::ECCEnabled() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return false;
#else
return deviceProps().get(device_id_)->ECCEnabled != 0;
#endif
}
int cv::gpu::DeviceInfo::pciBusID() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->pciBusID;
#endif
}
int cv::gpu::DeviceInfo::pciDeviceID() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->pciDeviceID;
#endif
}
int cv::gpu::DeviceInfo::pciDomainID() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->pciDomainID;
#endif
}
bool cv::gpu::DeviceInfo::tccDriver() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return false;
#else
return deviceProps().get(device_id_)->tccDriver != 0;
#endif
}
int cv::gpu::DeviceInfo::asyncEngineCount() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->asyncEngineCount;
#endif
}
bool cv::gpu::DeviceInfo::unifiedAddressing() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return false;
#else
return deviceProps().get(device_id_)->unifiedAddressing != 0;
#endif
}
int cv::gpu::DeviceInfo::memoryClockRate() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->memoryClockRate;
#endif
}
int cv::gpu::DeviceInfo::memoryBusWidth() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->memoryBusWidth;
#endif
}
int cv::gpu::DeviceInfo::l2CacheSize() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->l2CacheSize;
#endif
}
int cv::gpu::DeviceInfo::maxThreadsPerMultiProcessor() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return 0;
#else
return deviceProps().get(device_id_)->maxThreadsPerMultiProcessor;
#endif
}
void cv::gpu::DeviceInfo::queryMemory(size_t& _totalMemory, size_t& _freeMemory) const
{
#ifndef HAVE_CUDA
(void) _totalMemory;
(void) _freeMemory;
throw_no_cuda();
#else
int prevDeviceID = getDevice();
if (prevDeviceID != device_id_)
setDevice(device_id_);
cudaSafeCall( cudaMemGetInfo(&_freeMemory, &_totalMemory) );
if (prevDeviceID != device_id_)
setDevice(prevDeviceID);
#endif
}
bool cv::gpu::DeviceInfo::isCompatible() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return false;
#else
// Check PTX compatibility
if (TargetArchs::hasEqualOrLessPtx(majorVersion(), minorVersion()))
if (TargetArchs::hasEqualOrLessPtx(major(), minor()))
return true;
// Check BIN compatibility
for (int i = minorVersion(); i >= 0; --i)
if (TargetArchs::hasBin(majorVersion(), i))
for (int i = minor(); i >= 0; --i)
if (TargetArchs::hasBin(major(), i))
return true;
return false;
#endif
}
void cv::gpu::DeviceInfo::query()
{
const cudaDeviceProp* prop = deviceProps.get(device_id_);
////////////////////////////////////////////////////////////////////////
// print info
name_ = prop->name;
multi_processor_count_ = prop->multiProcessorCount;
majorVersion_ = prop->major;
minorVersion_ = prop->minor;
}
#ifdef HAVE_CUDA
namespace
{
@ -407,8 +939,14 @@ namespace
}
}
#endif
void cv::gpu::printCudaDeviceInfo(int device)
{
#ifndef HAVE_CUDA
(void) device;
throw_no_cuda();
#else
int count = getCudaEnabledDeviceCount();
bool valid = (device >= 0) && (device < count);
@ -484,11 +1022,17 @@ void cv::gpu::printCudaDeviceInfo(int device)
printf(", CUDA Driver Version = %d.%d", driverVersion / 1000, driverVersion % 100);
printf(", CUDA Runtime Version = %d.%d", runtimeVersion/1000, runtimeVersion%100);
printf(", NumDevs = %d\n\n", count);
fflush(stdout);
#endif
}
void cv::gpu::printShortCudaDeviceInfo(int device)
{
#ifndef HAVE_CUDA
(void) device;
throw_no_cuda();
#else
int count = getCudaEnabledDeviceCount();
bool valid = (device >= 0) && (device < count);
@ -514,11 +1058,11 @@ void cv::gpu::printShortCudaDeviceInfo(int device)
printf(", Driver/Runtime ver.%d.%d/%d.%d\n", driverVersion/1000, driverVersion%100, runtimeVersion/1000, runtimeVersion%100);
}
fflush(stdout);
#endif
}
#endif // HAVE_CUDA
////////////////////////////////////////////////////////////////////////
// Error handling

4
modules/gpufilters/src/filtering.cpp
Unescape View File

@ -878,7 +878,7 @@ namespace
virtual void operator()(const GpuMat& src, GpuMat& dst, Stream& s = Stream::Null())
{
DeviceInfo devInfo;
int cc = devInfo.majorVersion() * 10 + devInfo.minorVersion();
int cc = devInfo.major() * 10 + devInfo.minor();
func(src, dst, kernel.ptr<float>(), ksize, anchor, brd_type, cc, StreamAccessor::getStream(s));
}
@ -977,7 +977,7 @@ namespace
virtual void operator()(const GpuMat& src, GpuMat& dst, Stream& s = Stream::Null())
{
DeviceInfo devInfo;
int cc = devInfo.majorVersion() * 10 + devInfo.minorVersion();
int cc = devInfo.major() * 10 + devInfo.minor();
if (ksize > 16 && cc < 20)
CV_Error(cv::Error::StsNotImplemented, "column linear filter doesn't implemented for kernel size > 16 for device with compute capabilities less than 2.0");

2
modules/gpuoptflow/test/test_optflow.cpp
Unescape View File

@ -80,7 +80,7 @@ GPU_TEST_P(BroxOpticalFlow, Regression)
brox(loadMat(frame0), loadMat(frame1), u, v);
std::string fname(cvtest::TS::ptr()->get_data_path());
if (devInfo.majorVersion() >= 2)
if (devInfo.major() >= 2)
fname += "opticalflow/brox_optical_flow_cc20.bin";
else
fname += "opticalflow/brox_optical_flow.bin";

2
modules/gpustereo/src/stereobm.cpp
Unescape View File

@ -91,7 +91,7 @@ bool cv::gpu::StereoBM_GPU::checkIfGpuCallReasonable()
DeviceInfo device_info;
if (device_info.majorVersion() > 1 || device_info.multiProcessorCount() > 16)
if (device_info.major() > 1 || device_info.multiProcessorCount() > 16)
return true;
return false;

4
modules/ts/src/gpu_perf.cpp
Unescape View File

@ -287,8 +287,8 @@ namespace perf
cv::gpu::DeviceInfo info(i);
printf("[----------]\n"), fflush(stdout);
printf("[ DEVICE ] \t# %d %s.\n", i, info.name().c_str()), fflush(stdout);
printf("[ ] \tCompute capability: %d.%d\n", (int)info.majorVersion(), (int)info.minorVersion()), fflush(stdout);
printf("[ DEVICE ] \t# %d %s.\n", i, info.name()), fflush(stdout);
printf("[ ] \tCompute capability: %d.%d\n", (int)info.major(), (int)info.minor()), fflush(stdout);
printf("[ ] \tMulti Processor Count: %d\n", info.multiProcessorCount()), fflush(stdout);
printf("[ ] \tTotal memory: %d Mb\n", static_cast<int>(static_cast<int>(info.totalMemory() / 1024.0) / 1024.0)), fflush(stdout);
printf("[ ] \tFree memory: %d Mb\n", static_cast<int>(static_cast<int>(info.freeMemory() / 1024.0) / 1024.0)), fflush(stdout);

4
modules/ts/src/ts_perf.cpp
Unescape View File

@ -682,13 +682,13 @@ void TestBase::Init(int argc, const char* const argv[])
cv::gpu::DeviceInfo info(param_cuda_device);
if (!info.isCompatible())
{
printf("[----------]\n[ FAILURE ] \tDevice %s is NOT compatible with current GPU module build.\n[----------]\n", info.name().c_str()), fflush(stdout);
printf("[----------]\n[ FAILURE ] \tDevice %s is NOT compatible with current GPU module build.\n[----------]\n", info.name()), fflush(stdout);
exit(-1);
}
cv::gpu::setDevice(param_cuda_device);
printf("[----------]\n[ GPU INFO ] \tRun test suite on %s GPU.\n[----------]\n", info.name().c_str()), fflush(stdout);
printf("[----------]\n[ GPU INFO ] \tRun test suite on %s GPU.\n[----------]\n", info.name()), fflush(stdout);
}
#endif

4
samples/gpu/driver_api_multi.cpp
Unescape View File

@ -82,8 +82,8 @@ int main()
if (!dev_info.isCompatible())
{
std::cout << "GPU module isn't built for GPU #" << i << " ("
<< dev_info.name() << ", CC " << dev_info.majorVersion()
<< dev_info.minorVersion() << "\n";
<< dev_info.name() << ", CC " << dev_info.major()
<< dev_info.minor() << "\n";
return -1;
}
}

4
samples/gpu/driver_api_stereo_multi.cpp
Unescape View File

@ -112,8 +112,8 @@ int main(int argc, char** argv)
if (!dev_info.isCompatible())
{
std::cout << "GPU module isn't built for GPU #" << i << " ("
<< dev_info.name() << ", CC " << dev_info.majorVersion()
<< dev_info.minorVersion() << "\n";
<< dev_info.name() << ", CC " << dev_info.major()
<< dev_info.minor() << "\n";
return -1;
}
}

4
samples/gpu/multi.cpp
Unescape View File

@ -62,8 +62,8 @@ int main()
if (!dev_info.isCompatible())
{
std::cout << "GPU module isn't built for GPU #" << i << " ("
<< dev_info.name() << ", CC " << dev_info.majorVersion()
<< dev_info.minorVersion() << "\n";
<< dev_info.name() << ", CC " << dev_info.major()
<< dev_info.minor() << "\n";
return -1;
}
}

2
samples/gpu/performance/performance.cpp
Unescape View File

@ -191,7 +191,7 @@ int main(int argc, const char* argv[])
DeviceInfo dev_info(device);
if (!dev_info.isCompatible())
{
cerr << "GPU module isn't built for GPU #" << device << " " << dev_info.name() << ", CC " << dev_info.majorVersion() << '.' << dev_info.minorVersion() << endl;
cerr << "GPU module isn't built for GPU #" << device << " " << dev_info.name() << ", CC " << dev_info.major() << '.' << dev_info.minor() << endl;
return -1;
}
setDevice(device);

4
samples/gpu/stereo_multi.cpp
Unescape View File

@ -81,8 +81,8 @@ int main(int argc, char** argv)
if (!dev_info.isCompatible())
{
std::cout << "GPU module isn't built for GPU #" << i << " ("
<< dev_info.name() << ", CC " << dev_info.majorVersion()
<< dev_info.minorVersion() << "\n";
<< dev_info.name() << ", CC " << dev_info.major()
<< dev_info.minor() << "\n";
return -1;
}
}

Write Preview
Loading…
Cancel
Save