I have a python project that is intended to be executed by running the head routine from the command line, i.e.:
python ssd.py --train
However, since this is a machine learning model and I don't have a GPU, I want to run the project entirely within Google Colab. This means I can't start files using the command line (or at least I don't know how). The workaround I've chosen is to use a single notebook as the header routine.
MWE-sketch (edited):
launcher.ipynb
!cp drive/MyDrive/.../ssd.py
from ssd import SSD
SSD("train")
ssd.py
...
__init__():
# here is code that will
# result in an error unless
# the code below is executed first
...
# the code below is not inside any function
if __name__ == '__main__':
# here is code that
# must be executed first
If I type python ssd.py --train into the command line, the code in ssd.py proper is executed first. If I use launcher.ipnyb, the code in __init__() is executed first, resulting in an error.
I've gotten it to work like this:
ssd.py
import sys as _sys
...
__init__():
# here is the same code as before
...
def set_args(args):
_sys.argv[1:] = args
def setup():
# here is code that was previously
# outside any function (i.e., right below)
# the code below is not inside any function
if __name__ == '__main__':
setup()
launcher.ipynb
!cp drive/MyDrive/.../ssd.py
import ssd
ssd.set_args(["--train"])
ssd.setup()
This seems like way too complex and primitive of a solution, but I guess there's nothing better?