Does pytorch have a Tensorboard equivalent? For rapid prototyping, I find Tensorboard a lot more useful than, say, print statements and such that you can get through eager execution. Tensorboard is also crucial for post-hoc analysis, and the Summary format is clean enough to use as a primary data artifact (e.g. use loss recorded in summaries versus some alternative hand-crafted text file).