Jupyter lab can't read custom environment
Hello, I have a (probably) easy question. I bought a monthly storage so that I can install my libraries on it. However, when I launch a gpu pod, jupyter lab doesn't recognize the custom environment... Has anyone else had this problem?
3 Replies
You have to give more details where had you installed
jupyter-laband your custom libraries - were they installed on the disk-volume or the network-volume? - also give the method you used to install eg : pip install in a virtual environment (and path of virtual-env)Hi thanks for answering. I installed the libraries via pip on the disk-volume after activating a custom environment
Did you create the custom environment (virtualenv or conda could you elaborate) inside your network volume
/workspace partition or on your disk volume.
Disk volumes are erased as soon as you terminate your pod - but if you created your environment on a network-volume , it should still exist after you activate it. Did you try running pip list on your virtual environment - if yes, did you see the packages installed therein?