AL
Тут внутри первый же тред обсуждает Julia — https://www.reddit.com/r/MachineLearning/comments/ftvcap/n_swift_googles_bet_on_differentiable_programming/
Раз:
https://tryolabs.com/blog/2020/04/02/swift-googles-bet-on-differentiable-programming/
Julia: If you read any HackerNews or Reddit threads about S4TF, the first comment usually is, “Why didn’t they choose Julia?”. In the previously mentioned document, Google mentions that Julia looked promising too, but they didn’t really provide a solid reason as to why they didn’t go for it. They mentioned that Swift has a much larger community than Julia, which is true, but Julia’s scientific and data science communities are much larger than Swift’s, and these are arguably the communities that would make more use of S4TF. Something to keep in mind is that Google’s team had more expertise in Swift, given that Swift’s creator Chris Lattner started the project, so this probably played a big part in the decision.
Два:
https://www.reddit.com/r/MachineLearning/comments/ftvcap/n_swift_googles_bet_on_differentiable_programming/fm9g508/
S4TF is probably going to stagnate soon (or has it already?). Both Chris Lattner and the first engineer aside from him to join the team left Google within 2 years. I have to imagine that is going to have a huge impact on getting this thing out the door. Odds are this will just end up in the pile of half baked TF things along with tf-estimator, tf.contrib, tf slim, etc...
Думаю тему можно закрыть. Не взлетит.
