I’m noticing that when using “.cuda()” the memory (not GPU memory) used by python jumps significantly.
For example if I run the commands:
import torch
torch.tensor([1]).cuda()

memory usage jumps from 10s of MB to 1.5+ GB (memory usage on the GPU goes up by less than 500MB).
Is this expected behavior? If not, any recommendations on finding/fixing the issue? I’m using the most recent stable version of Pytorch on Ubuntu 18.04 with Python 3.6, CUDA 9.2, and installed via conda.
Thanks!