运行ld -lcuda --verbose 发现各种attempt都无法打开 lcuda.so ,这说明lcuda无法被gcc找到。这是因为在WSL中不需要安装nvidia驱动,通过特殊的配置使得linux可以访问windows中的nvidia驱动。这导致cuda librarie…
对于新版本ubuntukylin17.04安装CUDA时出现cannot find Toolkit in /usr/local/cuda-8.0问题尝试了各种方法,均不妥当...参考:https://devtalk.nvidia.com/default/top...
Whatever I try, I get: RuntimeError: Cannot find CUDA at CUDA_HOME: /usr/local/cuda. CUDA must be available in order to build the package. --- WARNING: Discarding https://files.pythonhosted.org/packag...
BTW: I get the error only if I try to compile all SDK examples at once from the SDK/C directory. I can compile them separately from the individual directories. I guess that cuda-install is not defined then. So what is -lcuda good for then??? What can I do? I installed Cuda Toolk...
I’m not aware of any modern GPU “not” supporting CUDA stream priority, and anyway CUDA_ERROR_NOT_INITIALIZED does not mean that. You have a improper setup or install of CUDA on your machine. There is not enough information here to suggest anything, but the first thing I would do is...
torch.cuda.is_available() is false after installed cuda 9.1. Anyone can help me out?pytorch/pytorch#6098 Closed Can someone please post the steps to get this working? Sorry if this is hijacking the thread, but I do think my problem is "cannot find gpu devices on bash" ...
cannot re-initialize CUDA in forked subprocess.To use CUDA with multiprocessing,you must use the ...,程序员大本营,技术文章内容聚合第一站。
This is the error I am getting :"RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method". I am using 13.0nc12s_v3 Cluster. I used this one :" import torch.multiprocessing as mp mp.set_start_method(...
NVCC = /usr/local/cuda/bin/nvcc (新建,注意自己本机的地址) 二. 此时make产生错误 /usr/bin/ld: cannot find -lcuda 1. 查看MakeFile文件找到该行代码: LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand 2. 查看路径/usr/local/cuda/lib64下是否存在libcuda.so文件。如果存...
What would be the logs/steps I should perform to find out why that is, as it still works just fine using the nvidia settings. As an aside, is there really a danger overclocking? I see people always warning about it but I overclocked the 1050 I have using the values 270mhz on the gp...