GPU tensorflow安装问题
我是Ubuntu的新用户,我花了一个多星期的时间试图安装gpu tensorflow。我试着跟随网站和博客上的教程。但每当我在python控制台中导入tensorflow时。它总是显示:GPU tensorflow安装问题,tensorflow,Tensorflow,我是Ubuntu的新用户,我花了一个多星期的时间试图安装gpu tensorflow。我试着跟随网站和博客上的教程。但每当我在python控制台中导入tensorflow时。它总是显示: import tensorflow I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so.8.0 locally I tensorflow/stream_executor/dso
import tensorflow
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so.5.1.5 locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:119] Couldn't open CUDA library libcuda.so.1. LD_LIBRARY_PATH: :/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:165] hostname: HanGuo
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] libcuda reported version is: Not found: was unable to find libcuda.so DSO loaded into this program
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:193] kernel reported version is: Permission denied: could not open driver version path for reading: /proc/driver/nvidia/version
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1091] LD_LIBRARY_PATH: :/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1092] failed to find libcuda.so on this system: Failed precondition: could not dlopen DSO: libcuda.so.1; dlerror: libnvidia-fatbinaryloader.so.367.57: cannot open shared object file: No such file or directory
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so.8.0 locally
我试图在谷歌上搜索答案,但还没有找到真正的解决方案。有人能帮我吗?根据
$ls/usr/local/cuda
的输出,您已经成功安装了它
现在,缺少的是路径定义,以便TensorFlow可以找到它所在的位置
1) 打开.bashrc文件:gedit~/.bashrc
2) 在文件末尾追加以下两行:
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/include"
export CUDA_HOME=/usr/local/cuda
3) 保存并关闭文本文件后,可以返回原始终端并键入以下命令以重新加载.bashrc文件:
source ~/.bashrc
虽然第三部分应该负责,但如果你想100%确定它能工作,请重新启动计算机
现在,对于TensorFlow,请记住将CUDA路径设置为
/usr/local/CUDA
,并将版本设置为8.0。安装libcuda5 dev可能会解决您的问题提供有关如何安装TensorFlow和CUDA的更多信息。我从Nvidia网站下载了CUDA.run文件,并使用$sudo tar-xzvf cudnn-8.0-linux-x64-v5.1.tgz将cuda安装到:$sudo cp cuda/include/cudnn.h/usr/local/cuda/include
$sudo cp cuda/lib64/libcudnn*/usr/local/cuda/lib64
$sudo chmod a+r/usr/local/cuda/include/cudnn.h/usr/local/cuda/lib64/libcudnn*
。tensorflow是使用git clone下载的https://github.com/tensorflow/tensorflow
,以及/configure
基本上我完全按照()所说的那样执行。您是否运行$sudo sh cuda_8.0.44_linux.run--override?$ls/usr/local/cuda的输出是什么?bin extras jre libnsight nvml pkgconfig共享工具doc include lib64 libnvp nvm samples src version.txt