I’ve run into memory leak issues when running various projects (semantic segmentation w/ CUDA 3 and CPU-only RL 3) after building PyTorch from source. This has been an issue for me (Ubuntu 14.04, CUDA 8.0, Python 3.6 via conda) and a colleague (Ubuntu 16.04, no CUDA, Python 3.6 via conda). I’ve tried building from master from several commits, and from the last tagged release (0.1.12), but no difference. Using the conda install works absolutely fine. Any ideas on what to look out for/help me provide more information?