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/y1y8aphr6fw7991l99z5fjrnvh8mm1na-julia-reversediff-1.9.0.drv | ||
i686-linux | /gnu/store/5wwcp8z2s0xlk5z4fff63jp3lzf0r7ln-julia-reversediff-1.9.0.drv | ||
aarch64-linux | /gnu/store/17gkrkkvqnwp5jkswcyjgg01y3fpsk2n-julia-reversediff-1.9.0.drv |
Linter | Message | Location |
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tests-true Check if tests are explicitly enabled | #:tests? must not be explicitly set to #t | |
formatting Look for formatting issues in the source | line 4590 is way too long (103 characters) |