Backend.AI Integration for Jupyter
Your Jupyter notebooks are running on the Backend.AI Cloud!
Migration Guide for v0.1.x "Sorna" Users
Now we use the v1.0.0 release of [Backend.AI Client for Python]
(https://pypi.python.org/pypi/backend.ai-client).
To use the latest version, please remove all existing "Sorna" kernel
configurations and re-install them.
$ python -m sorna.integration.jupyter.install --clean-only
Removing existing Sorna kernel: C11 on Sorna
...
$ pip uninstall sorna-jupyter-integration
...
$ pip install backend.ai-integration-jupyter
...
$ python -m ai.backend.integration.jupyter.install
Installing Backend.AI Jupyter kernel spec: Python 3 on Backend.AI
...
Note that you also need to reconfigure your existing notebooks to use the new
kernels. This is a safe operation -- you can change the backend kernel without
losing/modifying the content of notebooks.
Installation and Usage
First, grab your API keypair in Backend.AI Cloud.
$ pip install jupyter backend.ai-integration-jupyter
$ python -m ai.backend.integration.jupyter.install
$ export BACKEND_ACCESS_KEY=...
$ export BACKEND_SECRET_KEY=...
$ jupyter notebook
Then you will see Backend.AI kernels in the new notebook menu:
More kernels will become available soon!
NOTE: Currently only Python-based kernels support cross-cell contexts
(i.e., variables are kept across different notebook cells which is the default
behavior of Jupyter notebooks you already know). With other language kernels,
each cell is executed as a separate process, meaning that a new context is used
whenever you execute a cell.
Development
Add --sys-prefix argument to tell the installer to recognize editable
installation under your virtual environment.
$ python -m venv venv
$ source venv/bin/activate
$ pip install jupyter
$ pip install -e . # editable installation
$ python -m ai.backend.integration.jupyter.install --sys-prefix
$ export BACKEND_ACCESS_KEY=...
$ export BACKEND_SECRET_KEY=...
$ jupyter notebook
Uninstall
To list and uninstall existing kernelspecs registered to Jupyter, use
jupyter-kernelspec command.