| title | keywords | sidebar |
|---|---|---|
Returning to Gradient |
home_sidebar |
To return to your notebook, the basic steps will be:
- Start your instance
- Update the course repo
- Update the fastai library
- When done, shut down your instance
In your console notebooks choose the notebook you want to run and click on the button 'Start' under action.
You can choose a different Virtual Machine type on which you'd like to run your Notebook. This can be extremely useful when you want to start on a lower-end machine type, test everything is okay, then move to a more powerful GPU. Also, sometimes the GPU type that you started the notebook on will be unavailable, in which case you can easily fire it up on a different GPU.
Click on 'Start notebook' when you're ready and wait a few seconds for it to be ready.
Click on the open button when it's ready and you'll be back in your jupyter notebook page.
To update the course repo, launch a new terminal from the jupyter notebook menu.
This will open a new window, in which you should run those two instructions:
cd course-v3
git pull
This should give you the latest of the course notebooks. If you modified some of the notebooks in course-v3/nbs directly, GitHub will probably throw you an error. You should type git stash to remove your local changes. Remember you should always work on a copy of the lesson notebooks.
To update the fastai library, open the terminal like before and type
pip install fastai --upgrade Once you're finished, go back to your console notebook page and find your running notebook. Under Action, click stop, this will end the billing session.
NOTE: you will be charged for the time that your notebook is running. You must stop the notebook to stop incurring charges.