Reverse Mode Automatic Differentiation for Julia
ReverseDiff.jl
is a fast and compile-able tape-based reverse mode AD, that implements methods to take gradients, Jacobians, Hessians, and higher-order derivatives of native Julia functions (or any callable object, really).
System | Target | Derivation | Build status |
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x86_64-linux | /gnu/store/ccimp5db3s02vh43i7p1a5hw4cx22xgd-julia-reversediff-1.9.0.drv | ||
i686-linux | /gnu/store/id1y7br4y4ryclvm9kz9knx6lwdkdlzw-julia-reversediff-1.9.0.drv | ||
aarch64-linux | /gnu/store/wf2iqzjay9qmp06gz722kik6mf306w3f-julia-reversediff-1.9.0.drv |
Linter | Message | Location |
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formatting Look for formatting issues in the source | line 4662 is way too long (103 characters) |