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1opam-version: "2.0" 2maintainer: "Jane Street developers" 3authors: ["Jane Street Group, LLC"] 4homepage: "https://github.com/janestreet/torch" 5bug-reports: "https://github.com/janestreet/torch/issues" 6dev-repo: "git+https://github.com/janestreet/torch.git" 7doc: "https://ocaml.janestreet.com/ocaml-core/latest/doc/torch/index.html" 8license: "MIT" 9build: [ 10 ["dune" "build" "-p" name "-j" jobs] 11] 12depends: [ 13 "ocaml" {>= "4.14"} 14 "base" {>= "v0.16" & < "v0.17"} 15 "core" {>= "v0.16" & < "v0.17"} 16 "ppx_bench" {>= "v0.16" & < "v0.17"} 17 "ppx_expect" {>= "v0.16" & < "v0.17"} 18 "ppx_inline_test" {>= "v0.16" & < "v0.17"} 19 "ppx_jane" {>= "v0.16" & < "v0.17"} 20 "stdio" {>= "v0.16" & < "v0.17"} 21 "ctypes" {>= "0.18.0"} 22 "ctypes-foreign" 23 "dune" {>= "2.0.0"} 24 "dune-configurator" 25 "ocaml-compiler-libs" {>= "v0.11.0"} 26 "libtorch" {>= "1.13.0" & < "1.14.0"} 27] 28synopsis: "Torch bindings for OCaml" 29description: " 30The ocaml-torch project provides some OCaml bindings for the Torch library. 31This brings to OCaml NumPy-like tensor computations with GPU acceleration and 32tape-based automatic differentiation. 33" 34url { 35src: "https://ocaml.janestreet.com/ocaml-core/v0.16/files/torch-v0.16.0.tar.gz" 36checksum: "sha256=ccd9ef3b630bdc7c41e363e71d8ecb86c316460cbf79afe67546c6ff22c19da4" 37}