如何在Google计算引擎(深度学习VM)的conda环境中运行jupyter实验室? [英] How to run jupyter lab in a conda environment on a google compute engine (Deep Learning VM)?

问题描述

• 我在深度学习VM 中创建了一个conda环境. SSH(在VM实例页面中单击实例的SSH按钮)并键入source activate <environment_name>时，它将在外壳中正确激活.

• I made a conda environment in my Deep Learning VM. When I ssh to it (clicking SSH button of my instance in the VM instances page) and type source activate <environment_name> it gets activated correctly in the shell.

我已成功从本地计算机连接到jupyter实验室，如文档

I successfully connect to jupyter lab from my local machine as explained from the docs

如何在此VM上的特定conda环境中使用jupyter?

在特定的conda环境中运行jupyter的接受的方式似乎是

The accepted way to run jupyter in a specific conda environment seems to be

在运行jupyter Notebook之前，请使用source activate <environment_name>在终端中激活conda环境.

Activate a conda environment in your terminal using source activate <environment_name> before you run jupyter notebook.

但深度学习VM文档说

初始化您的深度学习VM实例后，将启动Jupyter Lab会话

A Jupyter Lab session is started when your Deep Learning VM instance is initialized

这样，在创建jupyter实验会话之前，我无法进行源激活.

so that I cannot source activate before the creation of the jupyter lab session.

有什么想法吗?

• 我自己运行标准的jupyter笔记本，而不使用VM提供的jupyter实验室?
• 在创建jupyter实验室之前在VM的启动脚本中激活环境?

推荐答案

请尝试以下步骤:

1. 源激活< env_name>

conda安装ipykernel

ipython内核安装--name< env_name> --user

此后，从 hub.colfaxresearch.com 启动python代码，然后选择内核- ->更改内核->< env_name>

After this, launch your python code from hub.colfaxresearch.com and select Kernel --> Change Kernel --> < env_name >

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