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 |
|---|---|---|---|
| x86_64-linux | /gnu/store/8xlb1pfw6ka76b2vp0b7c2xn81wfwz6n-julia-reversediff-1.9.0.drv | ||
| i686-linux | /gnu/store/s7y0yrpljbb2k73ddzj7r37wx79l6hlm-julia-reversediff-1.9.0.drv | ||
| aarch64-linux | /gnu/store/j40h0q9jy623d7acfn71594pskp22rqj-julia-reversediff-1.9.0.drv |
| Linter | Message | Location |
|---|---|---|
| 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) |