I’ve used PyTorch extensively in many different projects, but had never spent the time to look into uncommon behaviours. A few weeks ago, I encountered a strange bug while using Torch distributed learning, and when I narrowed down the issue, it turned out to be a critical bug. I’m happy to be part of the Torch community now.