https://github.com/tensorflow/swift/blob/master/docs/WhySwiftForTensorFlow.md This is interesting and is reminiscent of Julia’s approach in flux. What seems divergent is the lack of multiple dispatch (+1 for Julia) and the static memory analysis/guarantees (+1 for swift). Any thoughts? tagging @…

[image] MikeInnes: second-wave ones were largely industrialised clones (TensorFlow, PyTorch), this third generation increasingly being built by compiler and languages people, and it looks very, very different to what came before. In what ways do they seem different? Are user-friendliness or e…

[image] MikeInnes: One thing that’s notably missing from the landscape is a truly new language for ML. The Isn’t Julia that new language? Or do you foresee the need for something else?

Yeah exactly. When I saw the presentation about swift for Tensorflow Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018) - YouTube , it reminded me of that blog post

I’m also interested in Swift. Both for general programming and for data science/ML. So far the data science/ML part outside of iOS/MacOS (which has coreML/Accelerate etc) has been very weak (apart from some hobby projects) but TF for Swift could change all that. It’s exciting to see a modern statica…

[image] DNF: In what ways do they seem different? Are user-friendliness or expressiveness among them? Absolutely. The main difference right now is providing an intuitive programming model while also being able to take advantage of optimisations and new hardware accelerators easily. There’s be…

Is this something you are working on lately? Could Julia handle this via metaprogramming? (i.e. embed a ML specific DSL using macro).

I’m not sure…seems like it’s a type system matter, per that use of the where clause. @MikeInnes , thank you for the explication. I’m also curious if anything is planned for these ML specific facilities.

I’ve only heard of Swift for Tensorflow now in 2019, because of a talk last month in the TF dev summit Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19) - YouTube I’m still trying to understand, what is “Swift for TensorFlow” anyway and why is it not just a li…

[image] xor0110: I’m still trying to understand, what is “Swift for TensorFlow” anyway and why is it not just a library? Were there limitations in the Swift language that required major changes to its compiler so that things worked better? And would those be limitations that Julia has overcome f…

Isn’t this the same thing that also enabled CUDANative? Sounds like a pretty important difference between Julia and Swift as platforms to enable technological development. Can we say this is all because Julia recognizes the importance of meta-programming and staged programming, while Swift isn’t muc…

Swift for Tensorflow rationale

Offtopic

Topic		Replies	Views
Welp! Swift for TensorFlow Archived Offtopic machine-learning	11	1895	February 13, 2021
Swift or Julia for TensorFlow Offtopic	1	896	April 6, 2019
What lessons could Julia's autodiff ecosystem learn from Stan's TinyGrad? Machine Learning	45	5040	September 26, 2025
On Machine Learning and Programming Languages Machine Learning	48	9011	January 25, 2018
State of machine learning in Julia Machine Learning	60	66887	August 26, 2022

Swift for Tensorflow rationale

Related topics