uboot: (firmwareOdroidC2/C4) don't invoke patch tool, use patches = [] instead

https://github.com/NixOS/nixpkgs/blob/master/pkgs/stdenv/generic/setup.sh#L948
this can do it nicely.

Signed-off-by: Anton Arapov <anton@deadbeef.mx>

pkgs/development/python-modules/pytorch/bin.nix

@@ -0,0 +1,82 @@
+{ lib, stdenv
+, buildPythonPackage
+, fetchurl
+, isPy37
+, isPy38
+, isPy39
+, isPy310
+, python
+, addOpenGLRunpath
+, future
+, numpy
+, patchelf
+, pyyaml
+, requests
+, setuptools
+, typing-extensions
+}:
+
+let
+  pyVerNoDot = builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion;
+  srcs = import ./binary-hashes.nix version;
+  unsupported = throw "Unsupported system";
+  version = "1.11.0";
+in buildPythonPackage {
+  inherit version;
+
+  pname = "pytorch";
+  # Don't forget to update pytorch to the same version.
+
+  format = "wheel";
+
+  disabled = !(isPy37 || isPy38 || isPy39 || isPy310);
+
+  src = fetchurl srcs."${stdenv.system}-${pyVerNoDot}" or unsupported;
+
+  nativeBuildInputs = [
+    addOpenGLRunpath
+    patchelf
+  ];
+
+  propagatedBuildInputs = [
+    future
+    numpy
+    pyyaml
+    requests
+    setuptools
+    typing-extensions
+  ];
+
+  postInstall = ''
+    # ONNX conversion
+    rm -rf $out/bin
+  '';
+
+  postFixup = let
+    rpath = lib.makeLibraryPath [ stdenv.cc.cc.lib ];
+  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
+  '';
+
+  # The wheel-binary is not stripped to avoid the error of `ImportError: libtorch_cuda_cpp.so: ELF load command address/offset not properly aligned.`.
+  dontStrip = true;
+
+  pythonImportsCheck = [ "torch" ];
+
+  meta = with lib; {
+    description = "Open source, prototype-to-production deep learning platform";
+    homepage = "https://pytorch.org/";
+    changelog = "https://github.com/pytorch/pytorch/releases/tag/v${version}";
+    # Includes CUDA and Intel MKL, but redistributions of the binary are not limited.
+    # https://docs.nvidia.com/cuda/eula/index.html
+    # https://www.intel.com/content/www/us/en/developer/articles/license/onemkl-license-faq.html
+    license = licenses.bsd3;
+    platforms = platforms.linux ++ platforms.darwin;
+    hydraPlatforms = []; # output size 3.2G on 1.11.0
+    maintainers = with maintainers; [ junjihashimoto ];
+  };
+}