arXiv:2206.11192cs.PL
Functional or imperative? On pleasant semantics for differentiable programming languages
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Abstract
In machine learning (ML), researchers and engineers seem to be at odds. System implementers would prefer models to be declarative, with detailed type information and semantic restrictions that allow models to be optimised, rearranged and parallelised. Yet practitioners show an overwhelming preference for dynamic, imperative languages with mutable state, and much engineering effort is spent bridging the resulting semantic divide. Is there a fundamental conflict? This article explores why imperative and functional styles are used, and how future language designs might get the best of both worlds.
https://ar5iv.labs.arxiv.org/html/2206.11192 The code listings are not formatted all that well by latex2html, but at least the prose is easier to read Generally, lots of academic writing is done in LaTeX because it’s nice for managing references. The incentive to develop and use…
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