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author | Efraim Flashner <efraim@flashner.co.il> | 2021-06-14 12:21:35 +0300 |
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committer | Efraim Flashner <efraim@flashner.co.il> | 2021-06-14 14:45:21 +0300 |
commit | e9a0f6a4a5d5a3e55bf8dd6a4377dc4a77367d4a (patch) | |
tree | 9e7893927d4771af9c53a4621077d534a498d5a0 | |
parent | f9f98a2f066c5b02c14a48e0c2637d7eb4e7965d (diff) | |
download | guix-e9a0f6a4a5d5a3e55bf8dd6a4377dc4a77367d4a.tar guix-e9a0f6a4a5d5a3e55bf8dd6a4377dc4a77367d4a.tar.gz |
gnu: Add julia-reversediff.
* gnu/packages/julia-xyz.scm (julia-reversediff): New variable.
-rw-r--r-- | gnu/packages/julia-xyz.scm | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/gnu/packages/julia-xyz.scm b/gnu/packages/julia-xyz.scm index 84bba8575f..7f3921abe6 100644 --- a/gnu/packages/julia-xyz.scm +++ b/gnu/packages/julia-xyz.scm @@ -2649,6 +2649,40 @@ another package is loaded, so that explicit dependencies (and long load times) can be avoided.") (license license:expat))) +(define-public julia-reversediff + (package + (name "julia-reversediff") + (version "1.9.0") + (source + (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/JuliaDiff/ReverseDiff.jl") + (commit (string-append "v" version)))) + (file-name (git-file-name name version)) + (sha256 + (base32 "1wrr6sqj2xl9grkvdp88rw3manxy9vbx28zq2wssya5ns1xabsnl")))) + (build-system julia-build-system) + (propagated-inputs + `(("julia-diffresults" ,julia-diffresults) + ("julia-diffrules" ,julia-diffrules) + ("julia-forwarddiff" ,julia-forwarddiff) + ("julia-functionwrappers" ,julia-functionwrappers) + ("julia-macrotools" ,julia-macrotools) + ("julia-nanmath" ,julia-nanmath) + ("julia-specialfunctions" ,julia-specialfunctions) + ("julia-staticarrays" ,julia-staticarrays))) + (native-inputs + `(("julia-difftests" ,julia-difftests) + ("julia-fillarrays" ,julia-fillarrays))) + (home-page "https://github.com/JuliaDiff/ReverseDiff.jl") + (synopsis "Reverse Mode Automatic Differentiation for Julia") + (description "@code{ReverseDiff.jl} is a fast and compile-able tape-based +reverse mode @acronym{AD, automatic differentiation}, that implements methods to +take gradients, Jacobians, Hessians, and higher-order derivatives of native +Julia functions (or any callable object, really).") + (license license:expat))) + (define-public julia-richardson (package (name "julia-richardson") |