anaconda、cuda、tensorflow、pycharm环境安装

anaconda安装

anaconda官方下载地址

本文使用的是基于python3.9的anaconda

接下来跟着步骤安装：

检验conda是否成功安装

安装CUDA和cuDNN

提醒，CUDA和cuDNN两者必须版本对应，否者将会出错
查看电脑显卡型号行否支持安装CUDA
CUDA和cuDNN版本对应网站
1 查看显卡型号

我的版本选择如下

CUDA下载地址

开始安装CUDA

开始安装cuDNN

cuDNN下载地址

环境变量的配置

我的电脑->高级系统设置

检验CUDA是否安装完成

安装Tensorflow

在c盘中创建一个Tensorflow文件夹

依次输入以下命令：

报错了如下图：

解决方法：

安装成功：

验证

在python环境中输入

python 复制代码

import tensorflow as tf

但是报错

python 复制代码

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. daal4py 2021.6.0 requires daal==2021.4.0, which is not installed. pylint 2.14.5 requires typing-extensions>=3.10.0; python_version < "3.10", but you have typing-extensions 3.7.4.3 which is incompatible. conda-repo-cli 1.0.20 requires clyent==1.2.1, but you have clyent 1.2.2 which is incompatible. conda-repo-cli 1.0.20 requires nbformat==5.4.0, but you have nbformat 5.5.0 which is incompatible. bokeh 2.4.3 requires typing-extensions>=3.10.0, but you have typing-extensions 3.7.4.3 which is incompatible. black 22.6.0 requires typing-extensions>=3.10.0.0; python_version < "3.10", but you have typing-extensions 3.7.4.3 which is incompatible. astroid 2.11.7 requires typing-extensions>=3.10; python_version < "3.10", but you have typing-extensions 3.7.4.3 which is incompatible.

解决方法

python 复制代码

pip uninstall protobuf
pip install protobuf==3.20.0

问题得到解决

终于安装成功了。

pycharm的安装

由于pycharm我之前已经安装完成了所以本文不再讲述安装流程了。