files can be run like Jupyter notebooks by delimiting cells/sections with #%% • Debugging PyTorch code is just like debugging any other Python code: see Piazza @108 for info. Also try Jupyter Lab! Why

final model such as experiments with architectures, hyper-parameter tuning, and model performance debugging. However, since the pre-trained model is intended to be generalizable across many downstream tasks

immediately instead of enqueued in a static graph, improving ease of use and provides a sophisticated debugging experience. In the container, see /workspace/README.md for information about customizing your PyTorch