nixpkgs/pkgs/development/python-modules/pytorch/bin.nix
Profpatsch 4a7f99d55d treewide: with stdenv.lib; in meta -> with lib;
Part of: https://github.com/NixOS/nixpkgs/issues/108938

meta = with stdenv.lib;

is a widely used pattern. We want to slowly remove
the `stdenv.lib` indirection and encourage people
to use `lib` directly. Thus let’s start with the meta
field.

This used a rewriting script to mostly automatically
replace all occurances of this pattern, and add the
`lib` argument to the package header if it doesn’t
exist yet.

The script in its current form is available at
https://cs.tvl.fyi/depot@2f807d7f141068d2d60676a89213eaa5353ca6e0/-/blob/users/Profpatsch/nixpkgs-rewriter/default.nix
2021-01-11 10:38:22 +01:00

74 lines
1.6 KiB
Nix

{ lib, stdenv
, buildPythonPackage
, fetchurl
, isPy37
, isPy38
, isPy39
, python
, nvidia_x11
, addOpenGLRunpath
, future
, numpy
, patchelf
, pyyaml
, requests
, typing-extensions
}:
let
pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
platform = if stdenv.isDarwin then "darwin" else "linux";
srcs = import ./binary-hashes.nix version;
unsupported = throw "Unsupported system";
version = "1.7.1";
in buildPythonPackage {
inherit version;
pname = "pytorch";
# Don't forget to update pytorch to the same version.
format = "wheel";
disabled = !(isPy37 || isPy38 || isPy39);
src = fetchurl srcs."${stdenv.system}-${pyVerNoDot}" or unsupported;
nativeBuildInputs = [
addOpenGLRunpath
patchelf
];
propagatedBuildInputs = [
future
numpy
pyyaml
requests
typing-extensions
];
postInstall = ''
# ONNX conversion
rm -rf $out/bin
'';
postFixup = let
rpath = stdenv.lib.makeLibraryPath [ stdenv.cc.cc.lib nvidia_x11 ];
in ''
find $out/${python.sitePackages}/torch/lib -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
echo "setting rpath for $lib..."
patchelf --set-rpath "${rpath}:$out/${python.sitePackages}/torch/lib" "$lib"
addOpenGLRunpath "$lib"
done
'';
pythonImportsCheck = [ "torch" ];
meta = with lib; {
description = "Open source, prototype-to-production deep learning platform";
homepage = "https://pytorch.org/";
license = licenses.unfree; # Includes CUDA and Intel MKL.
platforms = platforms.linux;
maintainers = with maintainers; [ danieldk ];
};
}