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).
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 4056 is way too long (103 characters) |