opam-version: "2.0"
bug-reports:  "https://github.com/LaurentMazare/ocaml-torch/issues"
homepage:     "https://github.com/LaurentMazare/ocaml-torch"
dev-repo:     "git+https://github.com/LaurentMazare/ocaml-torch.git"
license:      "Apache-2.0"
maintainer:   "Laurent Mazare <lmazare@gmail.com>"
authors:      [ "Laurent Mazare" ]

build: [["dune" "build" "-p" name "-j" jobs]]

depends: [
  "base" {>= "v0.11.0" & < "v0.17"}
  "cmdliner"
  "ctypes" {>= "0.11"}
  "ctypes-foreign"
  "dune" {>= "1.3.0"}
  "dune-configurator"
  "libtorch" {>= "1.9.0" & < "1.10.0"}
  "npy"
  "ocaml" {>= "4.08"}
  "ocaml-compiler-libs"
  "ppx_custom_printf"
  "ppx_expect"
  "ppx_sexp_conv"
  "sexplib"
  "stdio"
]

available: arch = "x86_64" & (os = "linux" | os = "macos")
x-ci-accept-failures: [
  "centos-7" # Requires gcc with -std=c++14
  "oraclelinux-7" # Requires gcc with -std=c++14
]

synopsis: "PyTorch bindings for OCaml"
description: """
The ocaml-torch project provides some OCaml bindings for the PyTorch library.
This brings to OCaml NumPy-like tensor computations with GPU acceleration and
tape-based automatic differentiation.
"""

url {
  src: "https://github.com/LaurentMazare/ocaml-torch/archive/0.13.tar.gz"
  checksum: [
    "md5=52a70206107b74898c412457132ea7dc"
    "sha512=2209847a54308144ca255b4b2dbddf64f300b9dad4cd717b6d2db6a6839cad992ef604fe85bf495f772e587656a2b32d1acd002e1cfc9a259927edef0e3b85ae"
  ]
}