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显卡环境

显卡环境

作者: 美环花子若野 | 来源:发表于2019-05-30 18:57 被阅读0次

    ### 环境相关整理

    ~~ ```python

    ~~ ================================================

    ~~ # 显卡版本

    ~~ GeForce GTX 1080 Ti

    ~~ # 查看方法

    ~~ lspci |grep VGA

    ~~ ====================================================

    ~~ # 编译版本(最低4.8)

    ~~ gcc version 5.4.0

    ~~ # 安装指令

    ~~ sudo apt-get install gcc-4.8

    ~~ # 查看方法

    ~~ gcc -v

    ~~ # 查看全部gcc版本

    ~~ ls /usr/bin/gcc*

    ~~ # 详细对应版本

    ~~ https://www.tensorflow.org/install/source?hl=zh-cn

    ~~ =====================================================

    ~~ # python版本(3.6.7)

    ~~ sudo add-apt-repository ppa:jonathonf/python-3.6.7

    ~~ sudo apt-get update

    ~~ sudo apt-get install python3.6.7

    ~~ # python路径

    ~~ /usr/bin/python3.6

    ~~ ===========================

    ~~ # pip版本

    ~~ curl https://bootstrap.pypa.io/get-pip.py | sudo python3.6

    ~~ # pip 路径

    ~~ sudo /home/bigdata/.local/bin/pip install

    ~~ # pip 源配置

    ~~ vim ~/.pip/pip.conf

    ~~

    ~~ [global]

    ~~ index-url = https://pypi.tuna.tsinghua.edu.cn/simple

    ~~ [install]

    ~~ trusted-host=pypi.tuna.tsinghua.edu.cn

    ~~ ========================================

    ~~ # 库版本

    ~~ sudo /home/bigdata/.local/bin/pip install bert-serving-server

    ~~ sudo /home/bigdata/.local/bin/pip install bert-serving-client

    ~~ sudo /home/bigdata/.local/bin/pip install tensorflow-gpu==1.12

    ~~ =============================================

    ~~ # nvidia-docker 环境

    ~~ # 环境测试

    ~~ docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi

    ~~ ============================================

    ~~ # nvidia driver 版本

    ~~ NVIDIA UNIX x86_64 Kernel Module  418.39

    ~~ # 安装指令

    ~~ https://blog.csdn.net/breeze5428/article/details/80013753

    ~~ # 查看方法

    ~~ cat /proc/driver/nvidia/version

    ~~ =============================================

    ~~ # cuda 版本

    ~~ CUDA Version: 10.1

    ~~ # 下载安装cuda 9.0

    ~~ curl -LO https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb

    ~~ sudo dpkg -i cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64.deb

    ~~ sudo apt-key add /var/cuda-repo-9-0-local/7fa2af80.pub

    ~~ sudo apt-get update

    ~~ sudo apt-get install cuda

    ~~ # 查看方法

    ~~ cat /usr/local/cuda/version.txt

    ~~ ==============================================

    ~~ # cudnn 版本

    ~~ CUDNN_MAJOR 7

    ~~ # cudnn 安装

    ~~

    ~~ # 查看方法

    ~~ cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2

    ~~ ==============================================

    ~~ ```

    ### 错误信息整理

    ~~ ```

    ~~ # 错误

    ~~ ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

    ~~ # 检查

    ~~ ls /usr/local/cuda/lib64/

    ~~

    ~~ ```

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