mirror of
https://github.com/opencv/opencv.git
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opencv_version: dump OpenCL information via opencv_version
fix missing "opencv2/core/opencl" headers from core module (updated install list)
This commit is contained in:
parent
f1c52e426b
commit
01f4a173ab
@ -7,6 +7,8 @@
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#include <opencv2/core.hpp>
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#include <opencv2/core/utils/trace.hpp>
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#include <opencv2/core/opencl/opencl_info.hpp>
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int main(int argc, const char** argv)
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{
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CV_TRACE_FUNCTION();
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@ -17,12 +19,16 @@ int main(int argc, const char** argv)
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cv::CommandLineParser parser(argc, argv,
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"{ help h usage ? | | show this help message }"
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"{ verbose v | | show build configuration log }"
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"{ opencl | | show information about OpenCL (available platforms/devices, default selected device) }"
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);
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if (parser.has("help"))
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{
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parser.printMessage();
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return 0;
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}
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else if (parser.has("verbose"))
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if (parser.has("verbose"))
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{
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std::cout << cv::getBuildInformation().c_str() << std::endl;
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}
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@ -30,5 +36,11 @@ int main(int argc, const char** argv)
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{
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std::cout << CV_VERSION << std::endl;
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}
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if (parser.has("opencl"))
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{
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cv::dumpOpenCLInformation();
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}
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return 0;
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}
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@ -23,6 +23,7 @@
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<skip_headers>
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opencv2/core/hal/intrin*
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opencv2/core/cuda*
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opencv2/core/opencl*
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opencv2/core/private*
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opencv/cxeigen.hpp
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opencv2/core/eigen.hpp
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@ -27,6 +27,7 @@ endif()
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file(GLOB lib_cuda_hdrs "include/opencv2/${name}/cuda/*.hpp" "include/opencv2/${name}/cuda/*.h")
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file(GLOB lib_cuda_hdrs_detail "include/opencv2/${name}/cuda/detail/*.hpp" "include/opencv2/${name}/cuda/detail/*.h")
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file(GLOB_RECURSE module_opencl_hdrs "include/opencv2/${name}/opencl/*")
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source_group("Include\\Cuda Headers" FILES ${lib_cuda_hdrs})
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source_group("Include\\Cuda Headers\\Detail" FILES ${lib_cuda_hdrs_detail})
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@ -34,7 +35,7 @@ source_group("Include\\Cuda Headers\\Detail" FILES ${lib_cuda_hdrs_detail})
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source_group("Src" FILES "${OPENCV_MODULE_opencv_core_BINARY_DIR}/version_string.inc")
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ocv_glob_module_sources(SOURCES "${OPENCV_MODULE_opencv_core_BINARY_DIR}/version_string.inc"
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HEADERS ${lib_cuda_hdrs} ${lib_cuda_hdrs_detail})
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HEADERS ${module_opencl_hdrs} ${lib_cuda_hdrs} ${lib_cuda_hdrs_detail})
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ocv_module_include_directories(${the_module} ${ZLIB_INCLUDE_DIRS} ${OPENCL_INCLUDE_DIRS})
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if(ANDROID AND HAVE_CPUFEATURES)
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198
modules/core/include/opencv2/core/opencl/opencl_info.hpp
Normal file
198
modules/core/include/opencv2/core/opencl/opencl_info.hpp
Normal file
@ -0,0 +1,198 @@
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#include <iostream>
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#include <opencv2/core.hpp>
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#include <opencv2/core/ocl.hpp>
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#ifndef DUMP_CONFIG_PROPERTY
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#define DUMP_CONFIG_PROPERTY(...)
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#endif
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#ifndef DUMP_MESSAGE_STDOUT
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#define DUMP_MESSAGE_STDOUT(...) do { std::cout << __VA_ARGS__ << std::endl; } while (false)
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#endif
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namespace cv {
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namespace {
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static std::string bytesToStringRepr(size_t value)
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{
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size_t b = value % 1024;
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value /= 1024;
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size_t kb = value % 1024;
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value /= 1024;
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size_t mb = value % 1024;
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value /= 1024;
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size_t gb = value;
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std::ostringstream stream;
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if (gb > 0)
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stream << gb << " GB ";
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if (mb > 0)
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stream << mb << " MB ";
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if (kb > 0)
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stream << kb << " KB ";
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if (b > 0)
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stream << b << " B";
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std::string s = stream.str();
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if (s[s.size() - 1] == ' ')
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s = s.substr(0, s.size() - 1);
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return s;
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}
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} // namespace
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static void dumpOpenCLInformation()
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{
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using namespace cv::ocl;
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try
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{
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if (!haveOpenCL() || !useOpenCL())
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{
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DUMP_MESSAGE_STDOUT("OpenCL is disabled");
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DUMP_CONFIG_PROPERTY("cv_ocl", "disabled");
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return;
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}
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std::vector<PlatformInfo> platforms;
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cv::ocl::getPlatfomsInfo(platforms);
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if (platforms.size() > 0)
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{
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DUMP_MESSAGE_STDOUT("OpenCL Platforms: ");
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for (size_t i = 0; i < platforms.size(); i++)
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{
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const PlatformInfo* platform = &platforms[i];
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DUMP_MESSAGE_STDOUT(" " << platform->name().c_str());
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Device current_device;
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for (int j = 0; j < platform->deviceNumber(); j++)
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{
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platform->getDevice(current_device, j);
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const char* deviceTypeStr = current_device.type() == Device::TYPE_CPU
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? ("CPU") : (current_device.type() == Device::TYPE_GPU ? current_device.hostUnifiedMemory() ? "iGPU" : "dGPU" : "unknown");
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DUMP_MESSAGE_STDOUT( " " << deviceTypeStr << ": " << current_device.name().c_str() << " (" << current_device.version().c_str() << ")");
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DUMP_CONFIG_PROPERTY( cv::format("cv_ocl_platform_%d_device_%d", (int)i, (int)j ),
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cv::format("(Platform=%s)(Type=%s)(Name=%s)(Version=%s)",
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platform->name().c_str(), deviceTypeStr, current_device.name().c_str(), current_device.version().c_str()) );
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}
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}
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}
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else
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{
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DUMP_MESSAGE_STDOUT("OpenCL is not available");
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DUMP_CONFIG_PROPERTY("cv_ocl", "not available");
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return;
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}
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const Device& device = Device::getDefault();
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if (!device.available())
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CV_ErrorNoReturn(Error::OpenCLInitError, "OpenCL device is not available");
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DUMP_MESSAGE_STDOUT("Current OpenCL device: ");
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#if 0
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DUMP_MESSAGE_STDOUT(" Platform = " << device.getPlatform().name());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_platformName", device.getPlatform().name());
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#endif
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const char* deviceTypeStr = device.type() == Device::TYPE_CPU
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? ("CPU") : (device.type() == Device::TYPE_GPU ? device.hostUnifiedMemory() ? "iGPU" : "dGPU" : "unknown");
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DUMP_MESSAGE_STDOUT(" Type = " << deviceTypeStr);
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DUMP_CONFIG_PROPERTY("cv_ocl_current_deviceType", deviceTypeStr);
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DUMP_MESSAGE_STDOUT(" Name = " << device.name());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_deviceName", device.name());
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DUMP_MESSAGE_STDOUT(" Version = " << device.version());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_deviceVersion", device.version());
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DUMP_MESSAGE_STDOUT(" Driver version = " << device.driverVersion());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_driverVersion", device.driverVersion());
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DUMP_MESSAGE_STDOUT(" Address bits = " << device.addressBits());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_addressBits", device.addressBits());
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DUMP_MESSAGE_STDOUT(" Compute units = " << device.maxComputeUnits());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_maxComputeUnits", device.maxComputeUnits());
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DUMP_MESSAGE_STDOUT(" Max work group size = " << device.maxWorkGroupSize());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_maxWorkGroupSize", device.maxWorkGroupSize());
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std::string localMemorySizeStr = bytesToStringRepr(device.localMemSize());
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DUMP_MESSAGE_STDOUT(" Local memory size = " << localMemorySizeStr);
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DUMP_CONFIG_PROPERTY("cv_ocl_current_localMemSize", device.localMemSize());
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std::string maxMemAllocSizeStr = bytesToStringRepr(device.maxMemAllocSize());
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DUMP_MESSAGE_STDOUT(" Max memory allocation size = " << maxMemAllocSizeStr);
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DUMP_CONFIG_PROPERTY("cv_ocl_current_maxMemAllocSize", device.maxMemAllocSize());
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const char* doubleSupportStr = device.doubleFPConfig() > 0 ? "Yes" : "No";
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DUMP_MESSAGE_STDOUT(" Double support = " << doubleSupportStr);
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DUMP_CONFIG_PROPERTY("cv_ocl_current_haveDoubleSupport", device.doubleFPConfig() > 0);
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const char* isUnifiedMemoryStr = device.hostUnifiedMemory() ? "Yes" : "No";
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DUMP_MESSAGE_STDOUT(" Host unified memory = " << isUnifiedMemoryStr);
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DUMP_CONFIG_PROPERTY("cv_ocl_current_hostUnifiedMemory", device.hostUnifiedMemory());
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DUMP_MESSAGE_STDOUT(" Device extensions:");
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String extensionsStr = device.extensions();
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size_t pos = 0;
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while (pos < extensionsStr.size())
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{
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size_t pos2 = extensionsStr.find(' ', pos);
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if (pos2 == String::npos)
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pos2 = extensionsStr.size();
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if (pos2 > pos)
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{
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String extensionName = extensionsStr.substr(pos, pos2 - pos);
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DUMP_MESSAGE_STDOUT(" " << extensionName);
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}
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pos = pos2 + 1;
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}
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DUMP_CONFIG_PROPERTY("cv_ocl_current_extensions", extensionsStr.c_str());
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const char* haveAmdBlasStr = haveAmdBlas() ? "Yes" : "No";
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DUMP_MESSAGE_STDOUT(" Has AMD Blas = " << haveAmdBlasStr);
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DUMP_CONFIG_PROPERTY("cv_ocl_current_AmdBlas", haveAmdBlas());
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const char* haveAmdFftStr = haveAmdFft() ? "Yes" : "No";
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DUMP_MESSAGE_STDOUT(" Has AMD Fft = " << haveAmdFftStr);
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DUMP_CONFIG_PROPERTY("cv_ocl_current_AmdFft", haveAmdFft());
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DUMP_MESSAGE_STDOUT(" Preferred vector width char = " << device.preferredVectorWidthChar());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_preferredVectorWidthChar", device.preferredVectorWidthChar());
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DUMP_MESSAGE_STDOUT(" Preferred vector width short = " << device.preferredVectorWidthShort());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_preferredVectorWidthShort", device.preferredVectorWidthShort());
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DUMP_MESSAGE_STDOUT(" Preferred vector width int = " << device.preferredVectorWidthInt());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_preferredVectorWidthInt", device.preferredVectorWidthInt());
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DUMP_MESSAGE_STDOUT(" Preferred vector width long = " << device.preferredVectorWidthLong());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_preferredVectorWidthLong", device.preferredVectorWidthLong());
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DUMP_MESSAGE_STDOUT(" Preferred vector width float = " << device.preferredVectorWidthFloat());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_preferredVectorWidthFloat", device.preferredVectorWidthFloat());
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DUMP_MESSAGE_STDOUT(" Preferred vector width double = " << device.preferredVectorWidthDouble());
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DUMP_CONFIG_PROPERTY("cv_ocl_current_preferredVectorWidthDouble", device.preferredVectorWidthDouble());
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}
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catch (...)
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{
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DUMP_MESSAGE_STDOUT("Exception. Can't dump OpenCL info");
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DUMP_MESSAGE_STDOUT("OpenCL device not available");
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DUMP_CONFIG_PROPERTY("cv_ocl", "not available");
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}
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}
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#undef DUMP_MESSAGE_STDOUT
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#undef DUMP_CONFIG_PROPERTY
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} // namespace
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@ -32,6 +32,7 @@ ocv_list_filterout(opencv_hdrs "modules/core/.*/cuda")
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ocv_list_filterout(opencv_hdrs "modules/cuda.*")
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ocv_list_filterout(opencv_hdrs "modules/cudev")
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ocv_list_filterout(opencv_hdrs "modules/core/.*/hal/")
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ocv_list_filterout(opencv_hdrs "modules/core/.*/opencl/")
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ocv_list_filterout(opencv_hdrs "modules/.+/utils/.*")
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ocv_list_filterout(opencv_hdrs "modules/.*\\\\.inl\\\\.h*")
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ocv_list_filterout(opencv_hdrs "modules/.*_inl\\\\.h*")
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@ -43,16 +43,9 @@
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#include "opencv2/ts/ocl_test.hpp"
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namespace cvtest {
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namespace ocl {
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using namespace cv;
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int test_loop_times = 1; // TODO Read from command line / environment
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#ifdef HAVE_OPENCL
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#define DUMP_PROPERTY_XML(propertyName, propertyValue) \
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#define DUMP_CONFIG_PROPERTY(propertyName, propertyValue) \
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do { \
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std::stringstream ssName, ssValue;\
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ssName << propertyName;\
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@ -65,180 +58,23 @@ int test_loop_times = 1; // TODO Read from command line / environment
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std::cout << msg << std::endl; \
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} while (false)
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static std::string bytesToStringRepr(size_t value)
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{
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size_t b = value % 1024;
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value /= 1024;
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#include <opencv2/core/opencl/opencl_info.hpp>
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size_t kb = value % 1024;
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value /= 1024;
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#endif // HAVE_OPENCL
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size_t mb = value % 1024;
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value /= 1024;
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namespace cvtest {
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namespace ocl {
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size_t gb = value;
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using namespace cv;
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std::ostringstream stream;
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if (gb > 0)
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stream << gb << " GB ";
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if (mb > 0)
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stream << mb << " MB ";
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if (kb > 0)
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stream << kb << " kB ";
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if (b > 0)
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stream << b << " B";
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return stream.str();
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}
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int test_loop_times = 1; // TODO Read from command line / environment
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#ifdef HAVE_OPENCL
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void dumpOpenCLDevice()
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{
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using namespace cv::ocl;
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try
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{
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if (!useOpenCL())
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{
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DUMP_MESSAGE_STDOUT("OpenCL is disabled");
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DUMP_PROPERTY_XML("cv_ocl", "disabled");
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return;
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}
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std::vector<PlatformInfo> platforms;
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cv::ocl::getPlatfomsInfo(platforms);
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if (platforms.size() > 0)
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{
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DUMP_MESSAGE_STDOUT("OpenCL Platforms: ");
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for (size_t i = 0; i < platforms.size(); i++)
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{
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const PlatformInfo* platform = &platforms[i];
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DUMP_MESSAGE_STDOUT(" " << platform->name().c_str());
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Device current_device;
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for (int j = 0; j < platform->deviceNumber(); j++)
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{
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platform->getDevice(current_device, j);
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const char* deviceTypeStr = current_device.type() == Device::TYPE_CPU
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? ("CPU") : (current_device.type() == Device::TYPE_GPU ? current_device.hostUnifiedMemory() ? "iGPU" : "dGPU" : "unknown");
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DUMP_MESSAGE_STDOUT( " " << deviceTypeStr << ": " << current_device.name().c_str() << " (" << current_device.version().c_str() << ")");
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DUMP_PROPERTY_XML( cv::format("cv_ocl_platform_%d_device_%d", (int)i, (int)j ),
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cv::format("(Platform=%s)(Type=%s)(Name=%s)(Version=%s)",
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platform->name().c_str(), deviceTypeStr, current_device.name().c_str(), current_device.version().c_str()) );
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}
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}
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}
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else
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{
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DUMP_MESSAGE_STDOUT("OpenCL is not available");
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DUMP_PROPERTY_XML("cv_ocl", "not available");
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return;
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}
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const Device& device = Device::getDefault();
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if (!device.available())
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CV_ErrorNoReturn(CV_OpenCLInitError, "OpenCL device is not available");
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DUMP_MESSAGE_STDOUT("Current OpenCL device: ");
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#if 0
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DUMP_MESSAGE_STDOUT(" Platform = "<< device.getPlatform().name());
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DUMP_PROPERTY_XML("cv_ocl_current_platformName", device.getPlatform().name());
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#endif
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const char* deviceTypeStr = device.type() == Device::TYPE_CPU
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? ("CPU") : (device.type() == Device::TYPE_GPU ? device.hostUnifiedMemory() ? "iGPU" : "dGPU" : "unknown");
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DUMP_MESSAGE_STDOUT(" Type = "<< deviceTypeStr);
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DUMP_PROPERTY_XML("cv_ocl_current_deviceType", deviceTypeStr);
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DUMP_MESSAGE_STDOUT(" Name = "<< device.name());
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DUMP_PROPERTY_XML("cv_ocl_current_deviceName", device.name());
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DUMP_MESSAGE_STDOUT(" Version = " << device.version());
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DUMP_PROPERTY_XML("cv_ocl_current_deviceVersion", device.version());
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DUMP_MESSAGE_STDOUT(" Driver version = " << device.driverVersion());
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DUMP_PROPERTY_XML("cv_ocl_current_driverVersion", device.driverVersion());
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DUMP_MESSAGE_STDOUT(" Address bits = " << device.addressBits());
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DUMP_PROPERTY_XML("cv_ocl_current_addressBits", device.addressBits());
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DUMP_MESSAGE_STDOUT(" Compute units = "<< device.maxComputeUnits());
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DUMP_PROPERTY_XML("cv_ocl_current_maxComputeUnits", device.maxComputeUnits());
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DUMP_MESSAGE_STDOUT(" Max work group size = "<< device.maxWorkGroupSize());
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DUMP_PROPERTY_XML("cv_ocl_current_maxWorkGroupSize", device.maxWorkGroupSize());
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std::string localMemorySizeStr = bytesToStringRepr(device.localMemSize());
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DUMP_MESSAGE_STDOUT(" Local memory size = " << localMemorySizeStr);
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DUMP_PROPERTY_XML("cv_ocl_current_localMemSize", device.localMemSize());
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std::string maxMemAllocSizeStr = bytesToStringRepr(device.maxMemAllocSize());
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DUMP_MESSAGE_STDOUT(" Max memory allocation size = "<< maxMemAllocSizeStr);
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DUMP_PROPERTY_XML("cv_ocl_current_maxMemAllocSize", device.maxMemAllocSize());
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const char* doubleSupportStr = device.doubleFPConfig() > 0 ? "Yes" : "No";
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DUMP_MESSAGE_STDOUT(" Double support = "<< doubleSupportStr);
|
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DUMP_PROPERTY_XML("cv_ocl_current_haveDoubleSupport", device.doubleFPConfig() > 0);
|
||||
|
||||
const char* isUnifiedMemoryStr = device.hostUnifiedMemory() ? "Yes" : "No";
|
||||
DUMP_MESSAGE_STDOUT(" Host unified memory = "<< isUnifiedMemoryStr);
|
||||
DUMP_PROPERTY_XML("cv_ocl_current_hostUnifiedMemory", device.hostUnifiedMemory());
|
||||
|
||||
DUMP_MESSAGE_STDOUT(" Device extensions:");
|
||||
String extensionsStr = device.extensions();
|
||||
size_t pos = 0;
|
||||
while (pos < extensionsStr.size())
|
||||
{
|
||||
size_t pos2 = extensionsStr.find(' ', pos);
|
||||
if (pos2 == String::npos)
|
||||
pos2 = extensionsStr.size();
|
||||
if (pos2 > pos)
|
||||
{
|
||||
String extensionName = extensionsStr.substr(pos, pos2 - pos);
|
||||
DUMP_MESSAGE_STDOUT(" " << extensionName);
|
||||
}
|
||||
pos = pos2 + 1;
|
||||
}
|
||||
DUMP_PROPERTY_XML("cv_ocl_current_extensions", extensionsStr.c_str());
|
||||
|
||||
const char* haveAmdBlasStr = haveAmdBlas() ? "Yes" : "No";
|
||||
DUMP_MESSAGE_STDOUT(" Has AMD Blas = "<< haveAmdBlasStr);
|
||||
DUMP_PROPERTY_XML("cv_ocl_current_AmdBlas", haveAmdBlas());
|
||||
|
||||
const char* haveAmdFftStr = haveAmdFft() ? "Yes" : "No";
|
||||
DUMP_MESSAGE_STDOUT(" Has AMD Fft = "<< haveAmdFftStr);
|
||||
DUMP_PROPERTY_XML("cv_ocl_current_AmdFft", haveAmdFft());
|
||||
|
||||
|
||||
DUMP_MESSAGE_STDOUT(" Preferred vector width char = "<< device.preferredVectorWidthChar());
|
||||
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthChar", device.preferredVectorWidthChar());
|
||||
|
||||
DUMP_MESSAGE_STDOUT(" Preferred vector width short = "<< device.preferredVectorWidthShort());
|
||||
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthShort", device.preferredVectorWidthShort());
|
||||
|
||||
DUMP_MESSAGE_STDOUT(" Preferred vector width int = "<< device.preferredVectorWidthInt());
|
||||
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthInt", device.preferredVectorWidthInt());
|
||||
|
||||
DUMP_MESSAGE_STDOUT(" Preferred vector width long = "<< device.preferredVectorWidthLong());
|
||||
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthLong", device.preferredVectorWidthLong());
|
||||
|
||||
DUMP_MESSAGE_STDOUT(" Preferred vector width float = "<< device.preferredVectorWidthFloat());
|
||||
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthFloat", device.preferredVectorWidthFloat());
|
||||
|
||||
DUMP_MESSAGE_STDOUT(" Preferred vector width double = "<< device.preferredVectorWidthDouble());
|
||||
DUMP_PROPERTY_XML("cv_ocl_current_preferredVectorWidthDouble", device.preferredVectorWidthDouble());
|
||||
}
|
||||
catch (...)
|
||||
{
|
||||
DUMP_MESSAGE_STDOUT("Exception. Can't dump OpenCL info");
|
||||
DUMP_MESSAGE_STDOUT("OpenCL device not available");
|
||||
DUMP_PROPERTY_XML("cv_ocl", "not available");
|
||||
}
|
||||
cv::dumpOpenCLInformation();
|
||||
}
|
||||
#undef DUMP_MESSAGE_STDOUT
|
||||
#undef DUMP_PROPERTY_XML
|
||||
|
||||
#endif
|
||||
#endif // HAVE_OPENCL
|
||||
|
||||
Mat TestUtils::readImage(const String &fileName, int flags)
|
||||
{
|
||||
|
Loading…
Reference in New Issue
Block a user