Neural-Compressor-EXT-LAB

Requirements

• JupyterLab >= 3.0

Install

Python Backend

To install the Python source code, execute:

python setup.py install

Note: After the extension is published to the PyPI or conda-forge repositories, you can easily install the extension using pip or conda, such as:

pip install neural-compressor-ext-lab

Javascript/Typescript Front-end

Install lab extension from source code with:

jupyter labextension install --py neural-compressor-ext-lab

Note: After the extension is published to the NPM repositories, you can easily install the extension from jupyter lab extension market and don't need to execute the above command manually.

Debugging

Check if the package has been added into the extension list:

jupyter labextension list
jupyter serverextension list

If the neural-compressor-ext-lab is not in serverextension list, try to enable the package to become a server extension:

jupyter serverextension enable --py neural-compressor-ext-lab

debugging tip ：if the enable fails, try running:

jupyter lab --ServerAPP.jpserver_extension="{'neural-compressor-ext-lab':True}" --debug

Uninstall

To remove the extension, execute:

pip uninstall neural-compressor-ext-lab

Access jupyter lab remotely using SSH

Launch the jupyter lab service on the remote server:

jupyter lab --no-browser --port=8889

Start SSH in a local terminal:

ssh -N -f -L localhost:8888:localhost:8889 username@serverIP

Contributing

Development install

Note: You will need NodeJS to build the extension package.

The jlpm command is JupyterLab's pinned version of yarn that is installed with JupyterLab. You may use yarn or npm in lieu of jlpm below.

# Clone the repo to your local environment
# Change directory to the Neural_Coder directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm build

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the jlpm build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

jupyter lab build --minimize=False

Development uninstall

pip uninstall neural-compressor-ext-lab

In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named Neural_Coder within that folder.

Testing the extension

Frontend tests

This extension is using Jest for JavaScript code testing.

To execute them, execute:

jlpm
jlpm test

Integration tests

This extension uses Playwright for the integration tests (aka user level tests). More precisely, the JupyterLab helper Galata is used to handle testing the extension in JupyterLab.

More information are provided within the ui-tests README.

Packaging the extension

See RELEASE