Why my pytorch process keep expanding usage of GPU while running?
I just run a normal train file of my model, and today I suprisingly found that my process has been expanding the usage of GPU by the rate of   2 MB per training round.
Is that because I did not free some .cuda()  Variable after use?  I thought I did not have to free them by myself due to the autograd mechanism.
Or say, did I cause some memory leakage in GPU while running my nn.module-class model