虚拟环境中用Anaconda安装显卡CUDA驱动与CUDA运行版本匹配

￡神魔★判官ぃ 2022-03-18 12:07 1038阅读 0赞

**问题**：运行程序时报错 InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version，描述了显卡驱动与CUDA版本不匹配的问题。

**目的：**解决版本不匹配的问题。

**参考：**[https://blog.csdn.net/weixin\_36474809/article/details/87804903][https_blog.csdn.net_weixin_36474809_article_details_87804903]

**目录**

一、当前版本查看

1.1 查看CUDA驱动版本

1.2 查看base environment中CUDA运行版本

1.3 查看当前虚拟环境中CUDA版本

二、安装对应

2.1 安装

2.2 检验

--------------------

name: GeForce GTX 1080 major: 6 minor: 1 memoryClockRate(GHz): 1.835
    pciBusID: 0000:83:00.0
    totalMemory: 7.92GiB freeMemory: 1.96GiB
    2019-02-20 20:17:15.278289: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0, 1, 2, 3
    Traceback (most recent call last):
      File "config.py", line 214, in <module>
        args.func(args)
      File "config.py", line 147, in train
        dnnlib.submission.submit.submit_run(submit_config, **train_config)
      File "/home/xxr2019/NVlabs_noise2noise/dnnlib/submission/submit.py", line 296, in submit_run
        run_wrapper(submit_config)
      File "/home/xxr2019/NVlabs_noise2noise/dnnlib/submission/submit.py", line 249, in run_wrapper
        util.call_func_by_name(func_name=submit_config.run_func_name, submit_config=submit_config, **submit_config.run_func_kwargs)
      File "/home/xxr2019/NVlabs_noise2noise/dnnlib/util.py", line 232, in call_func_by_name
        return func_obj(*args, **kwargs)
      File "/home/xxr2019/NVlabs_noise2noise/train.py", line 76, in train
        tfutil.init_tf(config.tf_config)
      File "/home/xxr2019/NVlabs_noise2noise/dnnlib/tflib/tfutil.py", line 77, in init_tf
        create_session(config_dict, force_as_default=True)
      File "/home/xxr2019/NVlabs_noise2noise/dnnlib/tflib/tfutil.py", line 100, in create_session
        session = tf.Session(config=config)
      File "/home/jcx/.conda/envs/n2n/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1551, in __init__
        super(Session, self).__init__(target, graph, config=config)
      File "/home/jcx/.conda/envs/n2n/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 676, in __init__
        self._session = tf_session.TF_NewSessionRef(self._graph._c_graph, opts)
    tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version

# 一、当前版本查看 #

## 1.1 查看CUDA驱动版本 ##

驱动版本即为cuda driver version

输入nvidia-smi，看到我们服务器上的为：

NVIDIA-SMI 375.26                 Driver Version: 375.26

输入cat /proc/driver/nvidia/version

NVRM version: NVIDIA UNIX x86\_64 Kernel Module  375.26  Thu Dec  8 18:36:43 PST 2016  
GCC version:  gcc version 4.8.4 (Ubuntu 4.8.4-2ubuntu1~14.04.3)

## 1.2 查看base environment中CUDA运行版本 ##

运行版本即为cuda runtime version，是在python中安装的cudatoolkit和cudnn程序包的版本

(n2n) jcx@smart-dsp:~/Desktop/xxr2019/NVlabs_noise2noise$ cat /usr/local/cuda/version.txt
    CUDA Version 8.0.61
    (n2n) jcx@smart-dsp:~/Desktop/xxr2019/NVlabs_noise2noise$ cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2
    #define CUDNN_MAJOR      6
    #define CUDNN_MINOR      0
    #define CUDNN_PATCHLEVEL 21
    --
    #define CUDNN_VERSION    (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)
    
    #include "driver_types.h"

从该图来看，基础环境之中对应关系是没有问题的。

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl8zNjQ3NDgwOQ_size_16_color_FFFFFF_t_70][]

## 1.3 查看当前虚拟环境中CUDA版本 ##

输入pip list即可看到相应的CUDA，但是在此指令之中，没有看到相应的CUDA版本，可能当前版本中CUDA未安装。

或者输入**conda list**，看到我们的版本为：我们版本为当前最新版本CUDA，因此需要更新驱动到最新版本。

cudatoolkit               9.2                           0  
cudnn                     7.3.1                 cuda9.2\_0

# 二、安装对应 #

## 2.1 安装 ##

我们看出是CUDA版本过于新，驱动版本不够新，因此我们安装旧版本的CUDA运行版本，

安装cuda:conda install cudatoolkit=8.0 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/linux-64/

Downloading and Extracting Packages
    cudatoolkit-8.0      | 322.4 MB  | ####################################################################### | 100%
    Preparing transaction: done
    Verifying transaction: done
    Executing transaction: done

安装cudnn:conda install cudnn=7.0.5 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64/

Preparing transaction: done
    Verifying transaction: done
    Executing transaction: done

## 2.2 检验 ##

输入conda list，看到相应的版本变回与驱动对应的版本

cudatoolkit               8.0                           3    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free  
cudnn                     7.0.5                 cuda8.0\_0    https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/ma

## 2.3 tensorflow版本安装 ##

一般情况下，版本变动也需要重新安装tensorflow。以免程序报错。

conda install tensorflow-gpu

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[https_blog.csdn.net_weixin_36474809_article_details_87804903]: https://blog.csdn.net/weixin_36474809/article/details/87804903
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl8zNjQ3NDgwOQ_size_16_color_FFFFFF_t_70]: /images/20220318/33a3050e132a4f30b0610080e4223ff2.png
[Linux_]: https://blog.csdn.net/weixin_36474809/article/details/82588543
[Linux_ 1]: https://blog.csdn.net/weixin_36474809/article/details/89637261
[macOS_python_]: https://blog.csdn.net/weixin_36474809/article/details/89095425
[macOS_PyCharm_Anaconda_]: https://blog.csdn.net/weixin_36474809/article/details/90299833
[Hadoop_SLURM GPU_HDFS_]: https://blog.csdn.net/weixin_36474809/article/details/89467933
[windows PC_SSH_Ubuntu14.04_]: https://blog.csdn.net/weixin_36474809/article/details/86604468
[macOS_CentOS_iTerm2_lrzsz_]: https://blog.csdn.net/weixin_36474809/article/details/88748878
[macOS_SSH_CentOS_]: https://blog.csdn.net/weixin_36474809/article/details/88710505
[CentOS 6.3_PyTorch_gcc]: https://blog.csdn.net/weixin_36474809/article/details/88715360
[CentOS 6.3_anaconda_pytorch_cuda]: https://blog.csdn.net/weixin_36474809/article/details/88799164
[Anaconda_python 3.6_tensorflow-gpu_pip_]: https://blog.csdn.net/weixin_36474809/article/details/87714182
[Anaconda_CUDA_CUDA_]: https://blog.csdn.net/weixin_36474809/article/details/87820314
[openCV]: https://blog.csdn.net/weixin_36474809/article/details/83373908
[macbook_]: https://blog.csdn.net/weixin_36474809/article/details/88714642
[docker_]: https://blog.csdn.net/weixin_36474809/article/details/89518185