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" {>= "1.12.0" & < "1.13.0"}
  "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/0.15.tar.gz"
  checksum: [
    "md5=e0e2cf2688c69d6bb60f837e812db432"
    "sha512=a518928c5be656a85973db2fe2fb8efb73ec4f4f972f0f733cd75ee8c25292d907bc31ca04a3f2dd5bc95800ee15ee19533ca47f9ff43432485c528c8f08ca90"
  ]
}