Implicitly setting a random seed?
🐛 Bug
To Reproduce
Steps to reproduce the behavior:
import pytorch_lightning
import random
print(random.randint(0, 100000))

If you run this script repeatedly, you will get the same 'random' integer. PyTorch-lightning seems to be setting a random seed behind the hood. This is very dangerous because I want to show the variance of my algorithm, and PTL actually makes (part of) it deterministic.
Expected behavior
PTL shouldn't set the seed without the user's permission.