Indeed, and that makes a lot of sense. The qualm of tangent is that you get the source code translation but without the additional optimizations that the techni

Indeed, and that makes a lot of sense. The qualm of tangent is that you get the source code translation but without the additional optimizations that the technique can provide. It was then natural to just target TensorFlow/XLA to do a similar thing but get the performance of TensorFlow as a result. The downside is that it loses the one true upside of tangent which was that, by generating Python code, it could in theory be easier for a Python programming to debug. But this was probably the right sacrifice to make for most people.