我看了很多页面,或者不能按照他们的说法去做,因为他们不清楚和/或我的知识还不够. 我想跑： luarocks安装https://raw.githubusercontent.com/qassemoquab/stnbhwd/master/stnbhwd-scm-1.rockspec 因此,我可以使
我想跑：
luarocks安装https://raw.githubusercontent.com/qassemoquab/stnbhwd/master/stnbhwd-scm-1.rockspec
因此,我可以使用GPU加速在某些图像上运行DenseCap.当我运行它时,我收到此错误：
$luarocks install https://raw.githubusercontent.com/qassemoquab/stnbhwd/master/stnbhwd-scm-1.rockspec Using https://raw.githubusercontent.com/qassemoquab/stnbhwd/master/stnbhwd-scm-1.rockspec... switching to 'build' mode Cloning into 'stnbhwd'... remote: Counting objects: 24, done. remote: Compressing objects: 100% (23/23), done. remote: Total 24 (delta 0), reused 14 (delta 0), pack-reused 0 Receiving objects: 100% (24/24), 19.42 KiB | 0 bytes/s, done. Checking connectivity... done. cmake -E make_directory build && cd build && cmake .. -DCMAKE_BUILD_TYPE=Release -DCMAKE_PREFIX_PATH="/home/tex/torch/install/bin/.." -DCMAKE_INSTALL_PREFIX="/home/tex/torch/install/lib/luarocks/rocks/stnbhwd/scm-1" && make -- The C compiler identification is GNU 5.4.0 -- The CXX compiler identification is GNU 5.4.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Found Torch7 in /home/tex/torch/install -- Try OpenMP C flag = [-fopenmp] -- Performing Test OpenMP_FLAG_DETECTED -- Performing Test OpenMP_FLAG_DETECTED - Success -- Try OpenMP CXX flag = [-fopenmp] -- Performing Test OpenMP_FLAG_DETECTED -- Performing Test OpenMP_FLAG_DETECTED - Success -- Found OpenMP: -fopenmp -- Compiling with OpenMP support -- Looking for pthread.h -- Looking for pthread.h - found -- Looking for pthread_create -- Looking for pthread_create - not found -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found suitable version "9.0", minimum required is "5.5") -- Configuring done -- Generating done -- Build files have been written to: /tmp/luarocks_stnbhwd-scm-1-4197/stnbhwd/build Scanning dependencies of target stn [ 25%] Building C object CMakeFiles/stn.dir/init.c.o [ 50%] Linking C shared module libstn.so [ 50%] Built target stn [ 75%] Building NVCC (Device) object CMakeFiles/custn.dir/custn_generated_init.cu.o nvcc fatal : Value 'sm_20' is not defined for option 'gpu-architecture' CMake Error at custn_generated_init.cu.o.cmake:207 (message): Error generating /tmp/luarocks_stnbhwd-scm-1-4197/stnbhwd/build/CMakeFiles/custn.dir//./custn_generated_init.cu.o CMakeFiles/custn.dir/build.make:63: recipe for target 'CMakeFiles/custn.dir/custn_generated_init.cu.o' failed make[2]: *** [CMakeFiles/custn.dir/custn_generated_init.cu.o] Error 1 CMakeFiles/Makefile2:104: recipe for target 'CMakeFiles/custn.dir/all' failed make[1]: *** [CMakeFiles/custn.dir/all] Error 2 Makefile:127: recipe for target 'all' failed make: *** [all] Error 2 Error: Build error: Failed building.
我能够luarocks安装cutorch,luarocks安装cunn,luarocks安装cudnn就好了.
我在GTX 1080ti上运行Ubuntu 16.04.
$nvidia-smi Tue Dec 5 16:25:42 2017 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 384.90 Driver Version: 384.90 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 108... Off | 00000000:29:00.0 On | N/A | | 0% 47C P8 16W / 250W | 716MiB / 11169MiB | 1% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 1128 G /usr/lib/xorg/Xorg 479MiB | | 0 1782 G compiz 234MiB | +-----------------------------------------------------------------------------+
出于某种原因,当我运行$nvcc -V时,我得到：
The program 'nvcc' is currently not installed. You can install it by typing: sudo apt install nvidia-cuda-toolkit
..这是我面临的另一个大问题.当我安装nvcc时,它会为Cuda 7.5安装工具包,但我有Cuda 9.0.我使用来自Cuda’s website的.deb文件安装它.
$sudo apt-get install cuda Reading package lists... Done Building dependency tree Reading state information... Done cuda is already the newest version (9.0.176-1). The following packages were automatically installed and are no longer required: libcublas7.5 libcudart7.5 libcufft7.5 libcufftw7.5 libcuinj64-7.5 libcurand7.5 libcusolver7.5 libcusparse7.5 libnppc7.5 libnppi7.5 libnpps7.5 libnvblas7.5 libnvrtc7.5 libnvtoolsext1 libnvvm3 libthrust-dev libvdpau-dev nvidia-cuda-dev nvidia-cuda-doc nvidia-cuda-gdb nvidia-opencl-dev nvidia-profiler nvidia-visual-profiler opencl-headers Use 'sudo apt autoremove' to remove them. 0 upgraded, 0 newly installed, 0 to remove and 222 not upgraded.
老实说,我希望我需要安装nvcc,但就像我说的那样,它安装了错误的版本,我不能为我的生活找出如何为正确的版本安装它,我真的很困惑为什么我是现在得到这个错误,即使我已经安装了cutorch,cudnn和cunn就好了.任何帮助表示赞赏……
谢谢
尝试将代码体系结构(例如sm_20)更改为您尝试安装的stnbhwd的 CMakeLists.txt中的某个更高版本.从：IF (CUDA_FOUND) LIST(APPEND CUDA_NVCC_FLAGS "-arch=sm_20")
至：
IF (CUDA_FOUND) LIST(APPEND CUDA_NVCC_FLAGS "-arch=sm_30")