6. Examples
Category |
Name |
Docs |
IsReady |
---|---|---|---|
classification |
Fashion-MNIST |
||
regression |
Constelation |
We have a few in-progress examples, primarily in the examples directory in the python-FHEz repository. These examples use Jupyter Lab to make it as easy and as streamlined as possible for others to use our code/ play around with our code. Further to this you will note there are two dockerfiles in the python-reseal repository, one that expressly states jupyter which is expressly for these examples since they often require more dependencies than the base library itself we bundled things separately. To make it even easier we also included a bash script called run-jupyter which builds and runs the jupyter dockerfile with all our dependencies within, launches the server and gives you a link to the server usually: http://127.0.0.1:8888 + some authentication key and also mounts the examples directory as a volume so you could save any workings beyond the container as long as they are done inside the examples directory.
All of our examples should be played with using this Dockerfile for now as we improve our build system and make it easier to install our very complex library.
6.3. Generic Instructions for Example Usage
For any following example they are all accessed from the same container unless specified otherwise, which in theory since it is a Docker container can run on any 64-bit based system.
6.3.1. Step-by-Step
Install Git - https://git-scm.com/book/en/v2/Getting-Started-Installing-Git
Install Docker - https://docs.docker.com/engine/install/
Ensure Docker is running - https://docs.docker.com/config/daemon/
Download source code - Download from GitHub using command line/ terminal:
git clone https://github.com/dreamingraven/python-reseal
- Or download from GitHub GUI and unzip: https://github.com/DreamingRaven/python-reseal/releases - Or download from GitLab:git clone https://gitlab.com/georgeraven/python-reseal
- Or download from GitLab GUI and unzip: https://gitlab.com/GeorgeRaven/python-reseal/-/tagsBuild Docker container (this will take some time) - If your system supports bash then you can just run
run-jupyter
from inside the source directory to skip this step - Else from command line/ terminal within the source directorydocker build -t archer/fhe-jupyter -f Dockerfile_archlinux_jupyter .
Run Docker container - If your system supports bash then you can just run
run-jupyter
from inside the source directory to skip this step - Else from command line/ terminal within the source directorydocker run -p 127.0.0.1:8888:8888 -v "./examples":"/python-fhe/examples" -it archer/fhe-jupyter
Connect to the now running container using jupyter labs port: - Launch a web browser to the local address that the terminal outputs it will look something like: http://127.0.0.1:8888/lab?token=1908743694671946128946284628745628 where you should now have an interactive jupyter lab view of the code
Play around with the examples in the “examples” directory to your hearts content