I pointed neural-cost at my own AlphaZero chess net and got a confident 69% efficiency that was wrong three ways. Here is what it now reports instead, and the four bugs that only showed up on a real Apple GPU.
A framework-neutral Python library that estimates a neural network's FLOPs and tensor traffic, measures its runtime, and uses a roofline model to tell you exactly where performance is being left on the table.