Hi
I am trying to implement Bayesian CNN using Mc Dropout on Pytorch, as I know we apply it during both the training and the test time, and we should multiply the dropout output by 1/(1-p) where p is the dropout rate, could anyone confirm these statements, or give me an example of how should be the code, please.