Hello, Thanks for this implementation. I was going to use this but came across some roadblocks:
Using Python, at least, 3.9, pip install for these requirements will fail; tensorflow 1.15.0 for instance is not supported on Python 3.9 yet because it's dependencies are not fully supported yet, see here.
Moreover it is best to leave the dependency resolution to the main packages themselves (Keras for instance will install numpy and scipy for us).
I made added a Dockerfile with Python 3.7 that will successfully install all the dependencies.(pip freeze here will give the same output as the original requirements.txt.
Hello, Thanks for this implementation. I was going to use this but came across some roadblocks:
Using Python, at least, 3.9,
pip install
for these requirements will fail;tensorflow 1.15.0
for instance is not supported on Python 3.9 yet because it's dependencies are not fully supported yet, see here.Moreover it is best to leave the dependency resolution to the main packages themselves (Keras for instance will install
numpy
andscipy
for us).I made added a Dockerfile with Python 3.7 that will successfully install all the dependencies.(
pip freeze
here will give the same output as the originalrequirements.txt
.Also added instructions for a docker run.