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/sb03630s92d2s70l6nhzg36rh4yy7x9p-julia-reversediff-1.14.4.drv | ||
i686-linux | /gnu/store/rm2ayclhf54c8lpik7pyj8bmz4kak4bh-julia-reversediff-1.14.4.drv | ||
aarch64-linux | /gnu/store/27ivdk0lwam830pkr3pc6dxl5vg5xdmx-julia-reversediff-1.14.4.drv |
Linter | Message | Location |
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formatting Look for formatting issues in the source | line 5384 is way too long (103 characters) |