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It is like recipes but for AD! (Full functionality is in ChainRules.jl but this a a light weight dependency just to define sensitivities for your functions in your packages)

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ChainRulesCore

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The ChainRulesCore package provides a light-weight dependency for defining sensitivities for functions in your packages, without you needing to depend on ChainRules itself.

This will allow your package to be used with ChainRules.jl, which aims to provide a variety of common utilities that can be used by downstream automatic differentiation (AD) tools to define and execute forward-, reverse-, and mixed-mode primitives.

This package is a work in progress; the framework is essentially there, but there are a bunch of TODOs, virtually no tests, etc. PRs welcome! The API is mostly documented, which should help if you'd like to contribute.

The ChainRulesCore source code follows the YASGuide.

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It is like recipes but for AD! (Full functionality is in ChainRules.jl but this a a light weight dependency just to define sensitivities for your functions in your packages)

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