opam-version: "2.0"
maintainer: "Jane Street developers"
authors: ["Jane Street Group, LLC"]
homepage: "https://github.com/janestreet/torch"
bug-reports: "https://github.com/janestreet/torch/issues"
dev-repo: "git+https://github.com/janestreet/torch.git"
doc: "https://ocaml.janestreet.com/ocaml-core/latest/doc/torch/index.html"
license: "MIT"
build: [
  ["dune" "build" "-p" name "-j" jobs]
]
depends: [
  "ocaml"               {>= "5.1.0"}
  "base"                {>= "v0.17" & < "v0.18"}
  "core"                {>= "v0.17" & < "v0.18"}
  "core_unix"           {>= "v0.17" & < "v0.18"}
  "ppx_bench"           {>= "v0.17" & < "v0.18"}
  "ppx_inline_test"     {>= "v0.17" & < "v0.18"}
  "ppx_jane"            {>= "v0.17" & < "v0.18"}
  "ppx_string"          {>= "v0.17" & < "v0.18"}
  "stdio"               {>= "v0.17" & < "v0.18"}
  "ctypes"              {>= "0.18.0"}
  "ctypes-foreign"
  "dune"                {>= "3.11.0"}
  "dune-configurator"
  "ocaml-compiler-libs" {>= "v0.11.0"}
  "libtorch"            {with-test}
]
depopts: [
  "libtorch"
]
available: arch != "arm32" & arch != "x86_32"
conflicts: [
  "libtorch" {< "2.1.0" | >= "2.2.0"}
]
synopsis: "Torch bindings for OCaml"
description: "
The ocaml-torch project provides some OCaml bindings for the Torch library.
This brings to OCaml NumPy-like tensor computations with GPU acceleration and
tape-based automatic differentiation.
"
url {
  src: "https://github.com/janestreet/torch/archive/refs/tags/v0.17.0.tar.gz"
  checksum: [
    "md5=8e189f338b454bbefc4965d827f5a0cc"
    "sha512=f96155624705bc500734d5dbb18255436c1e4646f89ddc0c47260d79003543126c68e206267b3487bdf25c4f7168ab694ba89b661304c4735c159a91630f97cd"
  ]
}
post-messages: [
    "Installation of ocaml-torch failed. This likely happened
because there is no system installation of libtorch to compile
OCaml bindings against. Please instal the CPU version of libtorch
through opam, or the appropriate version of libtorch for your GPU
through the official distribution." {failure}
]