2016-11-15 58 views
1

工作环境时:分段错误尝试使用任何CUDA功能

  • 的Ubuntu 14.04与股票开发。工具(CMake的3.4.3,GCC 4.8.4 ..)
  • OpenCV的3.1.0
  • CUDA 7.5

OpenCV的建立,并与下面的cmake配置和所有 “正常” 的功能,安装工程构建OK由cmake的报告预计

cmake -D CMAKE_BUILD_TYPE=DEBUG -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_CUDA=ON -D ENABLE_FAST_MATH=1 -D CUDA_FAST_MATH=1 -D WITH_CUBLAS=1 -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-3.1.0/modules -D PYTHON_INCLUDE_DIR=$(python-config --prefix)/include/python2.7 -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_DOCS=OFF -D BUILD_EXAMPLES=ON .. 

的OpenCV配置:

-- General configuration for OpenCV 3.1.0 ===================================== 
-- Version control:    d097d6d 
-- 
-- Platform: 
--  Host:      Linux 4.2.0-27-generic x86_64 
--  CMake:      3.4.3 
--  CMake generator:    Unix Makefiles 
--  CMake build tool:   /usr/bin/make 
--  Configuration:    DEBUG 
-- 
-- C/C++: 
--  Built as dynamic libs?:  YES 
--  C++ Compiler:    /usr/bin/c++ (ver 4.8.4) 
--  C++ flags (Release):   -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wno-narrowing -Wno-delete-non-virtual-dtor -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffast-math -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG -DNDEBUG 
--  C++ flags (Debug):   -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wno-narrowing -Wno-delete-non-virtual-dtor -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffast-math -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -fvisibility-inlines-hidden -g -O0 -DDEBUG -D_DEBUG 
--  C Compiler:     /usr/bin/cc 
--  C flags (Release):   -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wno-narrowing -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffast-math -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -O3 -DNDEBUG -DNDEBUG 
--  C flags (Debug):    -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wno-narrowing -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffast-math -msse -msse2 -mno-avx -msse3 -mno-ssse3 -mno-sse4.1 -mno-sse4.2 -ffunction-sections -fvisibility=hidden -g -O0 -DDEBUG -D_DEBUG 
--  Linker flags (Release): 
--  Linker flags (Debug): 
--  Precompiled headers:   YES 
--  Extra dependencies:   /usr/lib/x86_64-linux-gnu/libpng.so /usr/lib/x86_64-linux-gnu/libz.so /usr/lib/x86_64-linux-gnu/libtiff.so /usr/lib/x86_64-linux-gnu/libjasper.so /usr/lib/x86_64-linux-gnu/libjpeg.so gtk-x11-2.0 gdk-x11-2.0 atk-1.0 gio-2.0 pangoft2-1.0 pangocairo-1.0 gdk_pixbuf-2.0 cairo pango-1.0 fontconfig gobject-2.0 freetype gthread-2.0 glib-2.0 dc1394 v4l1 v4l2 avcodec avformat avutil swscale dl m pthread rt cudart nppc nppi npps cublas cufft -L/usr/local/cuda/lib64 
--  3rdparty dependencies:  libwebp IlmImf libprotobuf 
-- 
-- OpenCV modules: 
--  To be built:     cudev core cudaarithm flann imgproc ml reg surface_matching video cudabgsegm cudafilters cudaimgproc cudawarping dnn fuzzy imgcodecs photo shape videoio cudacodec highgui objdetect plot xobjdetect xphoto bgsegm bioinspired dpm face features2d line_descriptor saliency text calib3d ccalib cudafeatures2d cudalegacy cudaobjdetect cudaoptflow cudastereo datasets rgbd stereo structured_light superres tracking videostab xfeatures2d ximgproc aruco optflow stitching python2 
--  Disabled:     world contrib_world 
--  Disabled by dependency:  - 
--  Unavailable:     java python3 ts viz cvv hdf matlab sfm 
-- 
-- GUI: 
--  QT:       NO 
--  GTK+ 2.x:     YES (ver 2.24.23) 
--  GThread :     YES (ver 2.40.2) 
--  GtkGlExt:     NO 
--  OpenGL support:    NO 
--  VTK support:     NO 
-- 
-- Media I/O: 
--  ZLib:      /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.8) 
--  JPEG:      /usr/lib/x86_64-linux-gnu/libjpeg.so (ver) 
--  WEBP:      build (ver 0.3.1) 
--  PNG:       /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.2.50) 
--  TIFF:      /usr/lib/x86_64-linux-gnu/libtiff.so (ver 42 - 4.0.3) 
--  JPEG 2000:     /usr/lib/x86_64-linux-gnu/libjasper.so (ver 1.900.1) 
--  OpenEXR:      build (ver 1.7.1) 
--  GDAL:      NO 
-- 
-- Video I/O: 
--  DC1394 1.x:     NO 
--  DC1394 2.x:     YES (ver 2.2.1) 
--  FFMPEG:      YES 
--  codec:      YES (ver 54.35.0) 
--  format:     YES (ver 54.20.4) 
--  util:      YES (ver 52.3.0) 
--  swscale:     YES (ver 2.1.1) 
--  resample:     NO 
--  gentoo-style:    YES 
--  GStreamer:     NO 
--  OpenNI:      NO 
--  OpenNI PrimeSensor Modules: NO 
--  OpenNI2:      NO 
--  PvAPI:      NO 
--  GigEVisionSDK:    NO 
--  UniCap:      NO 
--  UniCap ucil:     NO 
--  V4L/V4L2:     Using libv4l1 (ver 1.0.1)/libv4l2 (ver 1.0.1) 
--  XIMEA:      NO 
--  Xine:      NO 
--  gPhoto2:      NO 
-- 
-- Parallel framework:   pthreads 
-- 
-- Other third-party libraries: 
--  Use IPP:      9.0.1 [9.0.1] 
--   at:      /home/developer/projects/opencv/3rdparty/ippicv/unpack/ippicv_lnx 
--  Use IPP Async:    NO 
--  Use VA:      NO 
--  Use Intel VA-API/OpenCL:  NO 
--  Use Eigen:     NO 
--  Use Cuda:     YES (ver 7.5) 
--  Use OpenCL:     YES 
--  Use custom HAL:    NO 
-- 
-- NVIDIA CUDA 
--  Use CUFFT:     YES 
--  Use CUBLAS:     YES 
--  USE NVCUVID:     NO 
--  NVIDIA GPU arch:    20 21 30 35 
--  NVIDIA PTX archs:   30 
--  Use fast math:    YES 
-- 
-- OpenCL: 
--  Version:      dynamic 
--  Include path:    /home/developer/projects/opencv/3rdparty/include/opencl/1.2 
--  Use AMDFFT:     NO 
--  Use AMDBLAS:     NO 
-- 
-- Python 2: 
--  Interpreter:     /usr/bin/python2.7 (ver 2.7.6) 
--  Libraries:     /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.6) 
--  numpy:      /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.8.2) 
--  packages path:    lib/python2.7/dist-packages 
-- 
-- Python 3: 
--  Interpreter:     /usr/bin/python3.4 (ver 3.4.3) 
-- 
-- Python (for build):   /usr/bin/python2.7 
-- 
-- Java: 
--  ant:       NO 
--  JNI:       NO 
--  Java wrappers:    NO 
--  Java tests:     NO 
-- 
-- Matlab:      Matlab not found or implicitly disabled 
-- 
-- Tests and samples: 
--  Tests:      NO 
--  Performance tests:   NO 
--  C/C++ Examples:    YES 
-- 
-- Install path:     /usr/local 
-- 
-- cvconfig.h is in:    /home/developer/projects/opencv/build 
-- ----------------------------------------------------------------- 

但是任何尝试调用opencv gpu加速CUDA功能导致分段错误。 samples/gpu中的示例项目都不会正常运行。看起来,在初始函数调用中,不重要的CUDA函数seg fault是错误的,但是观察到一些微不足道的CUDA函数,例如getCudaEnabledDeviceCount()和printShortCudaDeviceInfo()确实会执行OK并返回合理的数据,但是随后的opencv调用(不一定是CUDA功能)将随后发生故障。

我已经尝试建立并运行一些来自/usr/local/cuda-7.5/samples(1_utilities/deviceQuery,1_utilities/bandwithTest)的CUDA库样本,他们似乎很好。

简单的程序,表现出的问题:

生成文件

CFLAGS = `pkg-config --cflags opencv` 
LIBS = `pkg-config --libs opencv` 

fail : fail.cpp 
     g++ $(CFLAGS) $< $(LIBS) -o [email protected] 

fail.cpp

#include "opencv2/cvconfig.h" 
#include "opencv2/core.hpp" 
#include "opencv2/cudaarithm.hpp" 

using namespace std; 
using namespace cv; 
using namespace cv::cuda; 


int main(int argc, const char* argv[]) 
{ 
    int i = getCudaEnabledDeviceCount();  

    Mat src(1000, 1000, CV_32F); 
    Mat dst; 

    printf("got to here #1\n"); 

    cv::transpose(src, dst); 

    printf("got to here #2\n"); 

    return 0; 
} 

程序输出:

got to here #1 
Segmentation fault (core dumped) 

注释掉getCudaEnabledDeviceCount()声明,并按预期运行完成。

排序的气味像OpenCV的和CUDA库或类似的东西之间的调用约定不匹配,但是想到这应该“只是工作” ...

[编辑]

与核心转储启用得到以下调用堆栈在gdb ...

[email protected]:~/projects/temp/opencv_CUDA$ gdb -c core -e fail 
GNU gdb (Ubuntu 7.7.1-0ubuntu5~14.04.2) 7.7.1 
Copyright (C) 2014 Free Software Foundation, Inc. 
License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html> 
This is free software: you are free to change and redistribute it. 
There is NO WARRANTY, to the extent permitted by law. Type "show copying" 
and "show warranty" for details. 
This GDB was configured as "x86_64-linux-gnu". 
Type "show configuration" for configuration details. 
For bug reporting instructions, please see: 
<http://www.gnu.org/software/gdb/bugs/>. 
Find the GDB manual and other documentation resources online at: 
<http://www.gnu.org/software/gdb/documentation/>. 
For help, type "help". 
Type "apropos word" to search for commands related to "word". 

warning: exec file is newer than core file. 
[New LWP 28690] 
[New LWP 28691] 
[Thread debugging using libthread_db enabled] 
Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 
Core was generated by `./fail'. 
Program terminated with signal SIGSEGV, Segmentation fault. 
#0 __GI___pthread_mutex_lock (mutex=0x0) at ../nptl/pthread_mutex_lock.c:66 
66 ../nptl/pthread_mutex_lock.c: No such file or directory. 
(gdb) bt 
#0 __GI___pthread_mutex_lock (mutex=0x0) at ../nptl/pthread_mutex_lock.c:66 
#1 0x00007f9e85782008 in ??() from /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.1 
#2 0x00007f9e85836671 in ??() from /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.1 
#3 0x00007f9e858367e5 in ??() from /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.1 
#4 0x00007f9e85787cb4 in ??() from /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.1 
#5 0x00007f9e857894e7 in ??() from /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.1 
#6 0x00007f9e8575cc66 in ??() from /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.1 
#7 0x00007f9e8565bf3d in ??() from /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.1 
#8 0x00007f9e8565bed8 in ??() from /usr/lib/x86_64-linux-gnu/libnvidia-opencl.so.1 
#9 0x00007f9e85fe2022 in ??() from /usr/local/cuda/lib64/libOpenCL.so 
#10 0x00007f9e85fe3d42 in ??() from /usr/local/cuda/lib64/libOpenCL.so 
#11 0x00007f9e85fe34d0 in clGetPlatformIDs() from /usr/local/cuda/lib64/libOpenCL.so 
#12 0x00007f9e895cea83 in (anonymous namespace)::opencl_fn3<58, int, unsigned int, _cl_platform_id**, unsigned int*>::switch_fn (p1=0, p2=0x0, 
p3=0x7ffe56410aac) at /home/developer/projects/opencv/modules/core/src/opencl/runtime/autogenerated/opencl_core_impl.hpp:127 
#13 0x00007f9e8965c452 in cv::ocl::haveOpenCL() at /home/developer/projects/opencv/modules/core/src/ocl.cpp:1466 
#14 0x00007f9e8965c4af in cv::ocl::useOpenCL() at /home/developer/projects/opencv/modules/core/src/ocl.cpp:1487 
#15 0x00007f9e896a6962 in cv::transpose (_src=..., _dst=...) at /home/developer/projects/opencv/modules/core/src/matrix.cpp:3235 
#16 0x0000000000400f3c in ??() 
#17 0x00007ffe56410e88 in ??() 
#18 0x0000000156410df8 in ??() 
#19 0x00007ffe56410dd0 in ??() 
#20 0x000000018a755d48 in ??() 
#21 0x0000000001010000 in ??() 
#22 0x00007ffe56410cd0 in ??() 
#23 0x0000000000000000 in ??() 

回答

0

找到了一些比赛在网络上上述调用堆栈建议,问题的根源奠定在NVIDIA驱动程序中的错误。从361.93升级到367.57(我的GeForce GTX 970显卡的当前驱动程序)似乎已解决问题。

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