[xkgt]

It seems likely that the justification is retrofitted and team's familiarity with Swift was the bigger driver. I am surprised they didn't find Scala to be a good fit given that it has already been used with great success in Spark which I presume has similar technical requirements. Anyone can throw light on the short explanation below? Does it really apply to Scala?

"Java / C# / Scala (and other OOP languages with pervasive dynamic dispatch): These languages share most of the static analysis problems as Python: their primary abstraction features (classes and interfaces) are built on highly dynamic constructs, which means that static analysis of Tensor operations depends on "best effort" techniques like alias analysis and class hierarchy analysis. Further, because they are pervasively reference-based, it is difficult to reliably disambiguate pointer aliases."