錯誤信息：
AssertionError:
The NVIDIA driver on your system is too old (found version 10000).
Please update your GPU driver by downloading and installing a new
version from the URL: http://www.nvidia.com/Download/index.aspx
Alternatively, go to: https://pytorch.org to install
a PyTorch version that has been compiled with your version
of the CUDA driver.
出錯位置：
File "/users4/zsun/pytorch/OpenNMT-py/onmt/train_single.py", line 38, in configure_process
torch.cuda.set_device(device_id)
File "/users4/zsun/anaconda3/envs/onmt_summary100W/lib/python3.5/site-packages/torch/cuda/__init__.py", line 300, in set_device
torch._C._cuda_setDevice(device)
File "/users4/zsun/anaconda3/envs/onmt_summary100W/lib/python3.5/site-packages/torch/cuda/__init__.py", line 192, in _lazy_init
_check_driver()
File "/users4/zsun/anaconda3/envs/onmt_summary100W/lib/python3.5/site-packages/torch/cuda/__init__.py", line 111, in _check_driver
of the CUDA driver.""".format(str(torch._C._cuda_getDriverVersion())))
由信息可以看出，要麼升級NVIDIA driver，要麼重新安裝本機CUDA driver能夠匹配的pytorh版本，說明我的機器上pytorch版本過新，而cuda版本太老，兩者無法匹配。cuda版本是服務器的我們無法更改，
查看一下本機cuda
參考鏈接：https://blog.csdn.net/leviopku/article/details/84851244
(onmt_summary100W) [zsun@gpu09 OpenNMT-py]$ cat /usr/local/cuda/version.txt
CUDA Version 10.0.130
(onmt_summary100W) [zsun@gpu09 OpenNMT-py]$ cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2
#define CUDNN_MAJOR 7
#define CUDNN_MINOR 3
#define CUDNN_PATCHLEVEL 0
--
#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)
#include "driver_types.h"
查看一下pytroch的版本（也可以使用pip list查看）
>>> torch.__version__
'1.3.1'
這兩者經常同時出現，所以順便查一下
>>> torchvision.__version__
'0.4.2'
根據報錯信息提示，查看pytorch官網 https://pytorch.org/get-started/previous-versions/ 看到這樣一處
# CUDA 10.0
pip install torch==1.2.0 torchvision==0.4.0 -f https://download.pytorch.org/whl/torch_stable.html
發現可能是torch1.3對於cuda 10.0 來說版本過新，所以按照上述命令嘗試重新安裝一下torch==1.2.0
重新運行自己的程序
終於
錯誤消失！！！