I’m running a notebook on Gradient on the Deepo (Python 3.6) base container image and the installed version of TensorFlow is a bit behind (1.8 vs 1.12+).
Is updating the version supported and is there anything extra I should do besides a pip install? I’ve tried updating it on another base image and ran into a version mismatch for some CUDA related libraries.
Also, I think that there is a newer version of the Deepo image in the Docker hub, can I run it directly as a “custom” container image or are there additional requirements for them to be compatible with Gradient?
It’s not a dealbreaker for now, but some minor changes are required to the code I’m running because of API differences.