tensorflow2---开发环境搭建

一、pip 安装

1、使用pip3安装Tensorflow、jupyter lab

#更新pip源
pip install -i http://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com --upgrade pip
#安装TensorFlow2.2.0
pip install -i http://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com  tensorflow==2.2.0
#安装jupyter lab作为交互式开发环境
pip install -i http://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com jupyter lab

2、jupyter lab 配置json文件---config.json

{
    "NotebookApp": {
    "ip":"*",
    "port":8888,
    "password":"",
    "open_browser":false,
    "token":"",
    "allow_root":true
    }
}

其中，密码的生成方法如下

$ python
Python 3.7.3 (default, Mar 27 2019, 22:11:17)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from notebook.auth import passwd
>>> passwd()
Enter password:
Verify password:
'sha1:xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'

生成后将该字符串填到上面的password中即可。

3、jupyter lab启动命令

jupyter lab --config config.json

二、Docker安装

1、拉取镜像并运行容器

docker run -itd \
           -p 8888:8888 \
           -v /opts/python-project:/python-project \
            tensorflow/tensorflow:2.2.0-jupyter \
            bash

2、进入容器

docker exec -it <你的容器ID> bash

3、安装jupyter lab

pip install -i http://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com jupyterlab

4、进入容器，启动jupyter lab

jupyter lab --config config.json