cuda - Tensorflow无法打开libcuda.so.1

Question

我有一台配备 GeForce 940 MX 的笔记本电脑。我想让 Tensorflow 启动并在 GPU 上运行。我从他们的教程页面安装了所有内容，现在当我导入 Tensorflow 时，我得到

>>> import tensorflow as tf
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened  CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:119] Couldn't open CUDA library libcuda.so.1. LD_LIBRARY_PATH: 
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:165] hostname: workLaptop
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:1092] LD_LIBRARY_PATH: 
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1093] 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 locally
>>> 

之后我认为它只是切换到在CPU上运行。

编辑:在我用核武器摧毁一切之后，从头开始。现在我明白了:

>>> import tensorflow
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so 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: workLaptop
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:1092] LD_LIBRARY_PATH: :/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1093] 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 locally

Answer 1

libcuda.so.1 是特定于 NVIDIA 驱动程序版本的文件的符号链接(symbolic link)。它可能指向错误的版本，或者可能不存在。

# See where the link is pointing.  
ls  /usr/lib/x86_64-linux-gnu/libcuda.so.1 -la
# My result:
# lrwxrwxrwx 1 root root 19 Feb 22 20:40 \
# /usr/lib/x86_64-linux-gnu/libcuda.so.1 -> ./libcuda.so.375.39

# Make sure it is pointing to the right version. 
# Compare it with the installed NVIDIA driver.
nvidia-smi

# Replace libcuda.so.1 with a link to the correct version
cd /usr/lib/x86_64-linux-gnu
sudo ln -f -s libcuda.so.<yournvidia.version> libcuda.so.1

现在以同样的方式，从 libcuda.so.1 到 LD_LIBRARY_PATH directory 中的同名链接创建另一个符号链接(symbolic link)。 .

您可能还会发现需要在/usr/lib/x86_64-linux-gnu 中创建一个名为 libcuda.so 的 libcuda.so.1 链接