搭建python3.8虚拟环境+CUDA 11.2+cudnn 8.1.1安装+解决‘libcudart.so.11.0‘和‘libnvinfer.so.7‘动态库缺失

1. 利用conda搭建python3.8环境

命令 conda create -n 2021myenv python=3.8
2021myenv 为自定义的虚拟环境名称，3.8为需要的python版本号。

搭建结束出现：
To activate this environment, use conda activate 2021myenv
To deactivate an active environment, use conda deactivate

2. 激活虚拟环境

命令source activate 2021myenv
即进入虚拟环境：(2021myenv) usr@cygnus:~/python_env$ python

3. 安装需要的包

显示已经安装了什么包：pip list
Successfully installed numpy-1.21.4
Successfully installed joblib-1.1.0

pip install -U git+git://github.com/hypergravity/laspec
Successfully installed laspec-2021.1114.0
Successfully installed torch-1.10.0 typing-extensions-4.0.0
Successfully installed absl-py-1.0.0 astunparse-1.6.3 cachetools-4.2.4 charset-normalizer-2.0.7 flatbuffers-2.0 gast-0.4.0 google-auth-2.3.3 google-auth-oauthlib-0.4.6 google-pasta-0.2.0 grpcio-1.41.1 h5py-3.5.0 idna-3.3 keras-2.7.0 keras-preprocessing-1.1.2 libclang-12.0.0 markdown-3.3.4 oauthlib-3.1.1 opt-einsum-3.3.0 protobuf-3.19.1 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.26.0 requests-oauthlib-1.3.0 rsa-4.7.2 six-1.16.0 tensorboard-2.7.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.0 tensorflow-2.7.0 tensorflow-estimator-2.7.0 tensorflow-io-gcs-filesystem-0.22.0 termcolor-1.1.0 urllib3-1.26.7 werkzeug-2.0.2 wrapt-1.13.3

Successfully installed scikit-learn-1.0.1 scipy-1.7.2 sklearn-0.0 threadpoolctl-3.0.0

4. CUDA安装

4.1. cat /proc/version （Linux查看当前操作系统版本信息）

4.2. cuda 11.2.0下载网址：
https://developer.nvidia.com/cuda-11.2.0-download-archive?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1804&target_type=runfilelocal

notes: 按照网页的提示信息进行安装。

# 先对安装包《cuda_10.0.130_410.48_linux.run》的属性进行修改为可执行；

chmod 755  cuda_11.2.0_460.27.04_linux.run 

# 不要使用 sudo 进行安装
sh cuda_11.2.0_460.27.04_linux.run

4.3. 注意跳入options进行路径设置。

安装结束提示信息如下：

===========
= Summary =
===========

Driver:   Not Selected
Toolkit:  Installed in /home/liujunhui/cuda_11_2/
Samples:  Not Selected

Please make sure that
 -   PATH includes /home/liujunhui/cuda_11_2/bin
 -   LD_LIBRARY_PATH includes /home/liujunhui/cuda_11_2/lib64, or, add /home/liujunhui/cuda_11_2/lib64 to /etc/ld.so.conf and run ldconfig as root

To uninstall the CUDA Toolkit, run cuda-uninstaller in /home/liujunhui/cuda_11_2/bin
***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 460.00 is required for CUDA 11.2 functionality to work.
To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file:
    sudo <CudaInstaller>.run --silent --driver

Logfile is /tmp/cuda-installer.log

4.4 环境变量的配置

vim .bashrc