For any function, you can click elements in the result to see where they came from, or elements in the inputs to see how they contribute to the result to see exactly how it contributes to the result. Visually tracing tensor operations clarifies indexing, slicing, and broadcasting in ways reading that the docs can't.
Would love feedback on which PyTorch functions people most want visualized next.