tensorflow2.1 installation guide

Install conda

Anconda download and installation

Download python3.7 version on Anconda official website

TensorFlow installation

打开Anconda Prompt
创建conda虚拟环境
用create -n 新建一个名叫TF2.1的环境用python3.7版本
conda create -n TF2.1 python=3.7
进入tensorflow2.1环境
conda activate TF2.1
安装英伟达的SDK10.1版本
conda install cudatoolkit=10.1
安装英伟达深度学习软件包7.6版本
conda install cudnn=7.6

如果你的GPU不支持英伟达,可以直接跳过上面两步,直接安装TensorFlow

安装TensorFlow
用pip install tensorflow==2.1指定2.1版本

安装完成后进入python环境验证是否安装成功
控制台输入python
import tensorflow as tf
查看TensorFlow版本
tf.__version__
如果显示2.1.0说明安装成功了

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PyCharm download and installation

The installation is carried out step by step.
Create a new project.
Choose the default path.
Set the project path.
Set environment variables.
Use the just configured conda environment.
Select the just configured TF2.1 as the python interpreter.
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If the network is not good, it is recommended to add the following Tsinghua mirror and try again

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/peterjc123/
conda config --set show_channel_urls yes

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Origin blog.csdn.net/as1490047935/article/details/105202450
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