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Swift for TensorFlow was an experiment in the next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems design, and beyond. It was archived in February 2021. Some significant achievements from this project include: Added language-integrated differentiable programming into the Swift language. This work co
Date: April 2018 As described in the design overview document, Python API interoperability is an important requirement for this project. While Swift is designed to integrate with other programming languages (and their runtimes), the nature of dynamic languages does not require the deep integration needed to support static languages. Python in particular is designed to be embedded into other applic
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