Here is a simple (flat-layout) template for deep learning code development. It should be sufficient for oridinary usage.
Simply git clone the repository and edit the code in the repository (under deeplearning). You may want to use a different name for the repository then just change deeplearning to your preferred name.
- If you wish to publish the package:
python3 -m build
See https://packaging.python.org/en/latest/tutorials/packaging-projects/ for more information. You need to at least change the name of the package. If you use flat layout, then you should pay attention to the tool.setuptools.packages.find.
Then follow the upload documentation to upload the package.
- If you don't want to publish your package (because you need a pypi account), but you want to install the package and use it globally. Then you can simply
pip install git+<your github repo link> --force-reinstall --upgrade(we force reinstall the package so that we can receive updates in the master branch immediately). You can also git clone the package and do apip install -e ..
python -m unittest test/test1.py
See https://docs.python.org/3/library/unittest.html for more information.
You need to set up the PYTHONPATH. Or maybe write a launcher script by yourself.