pyrox.dev
1{ lib
2, stdenv
3, buildPythonPackage
4, fetchurl
5, isPy37
6, isPy38
7, isPy39
8, patchelf
9, pillow
10, python
11, pytorch-bin
12}:
13
14let
15 pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
16 srcs = import ./binary-hashes.nix version;
17 unsupported = throw "Unsupported system";
18 version = "0.11.1";
19in buildPythonPackage {
20 inherit version;
21
22 pname = "torchvision";
23
24 format = "wheel";
25
26 src = fetchurl srcs."${stdenv.system}-${pyVerNoDot}" or unsupported;
27
28 disabled = !(isPy37 || isPy38 || isPy39);
29
30 nativeBuildInputs = [
31 patchelf
32 ];
33
34 propagatedBuildInputs = [
35 pillow
36 pytorch-bin
37 ];
38
39 # The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
40 dontStrip = true;
41
42 pythonImportsCheck = [ "torchvision" ];
43
44 postFixup = let
45 rpath = lib.makeLibraryPath [ stdenv.cc.cc.lib ];
46 in ''
47 # Note: after patchelf'ing, libcudart can still not be found. However, this should
48 # not be an issue, because PyTorch is loaded before torchvision and brings
49 # in the necessary symbols.
50 patchelf --set-rpath "${rpath}:${pytorch-bin}/${python.sitePackages}/torch/lib:" \
51 "$out/${python.sitePackages}/torchvision/_C.so"
52 '';
53
54 meta = with lib; {
55 description = "PyTorch vision library";
56 homepage = "https://pytorch.org/";
57 changelog = "https://github.com/pytorch/vision/releases/tag/v${version}";
58 # Includes CUDA and Intel MKL, but redistributions of the binary are not limited.
59 # https://docs.nvidia.com/cuda/eula/index.html
60 # https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html
61 license = licenses.bsd3;
62 platforms = platforms.linux;
63 maintainers = with maintainers; [ junjihashimoto ];
64 };
65}