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/libraries/science/math/libtorch/bin.nix

@@ -0,0 +1,103 @@
+{ callPackage
+, stdenv
+, fetchzip
+, lib
+, libcxx
+
+, addOpenGLRunpath
+, patchelf
+, fixDarwinDylibNames
+
+, cudaSupport
+}:
+
+let
+  # The binary libtorch distribution statically links the CUDA
+  # toolkit. This means that we do not need to provide CUDA to
+  # this derivation. However, we should ensure on version bumps
+  # that the CUDA toolkit for `passthru.tests` is still
+  # up-to-date.
+  version = "1.10.0";
+  device = if cudaSupport then "cuda" else "cpu";
+  srcs = import ./binary-hashes.nix version;
+  unavailable = throw "libtorch is not available for this platform";
+  libcxx-for-libtorch = if stdenv.hostPlatform.system == "x86_64-darwin" then libcxx else stdenv.cc.cc.lib;
+in stdenv.mkDerivation {
+  inherit version;
+  pname = "libtorch";
+
+  src = fetchzip srcs."${stdenv.targetPlatform.system}-${device}" or unavailable;
+
+  nativeBuildInputs =
+    if stdenv.isDarwin then [ fixDarwinDylibNames ]
+    else [ patchelf ] ++ lib.optionals cudaSupport [ addOpenGLRunpath ];
+
+  dontBuild = true;
+  dontConfigure = true;
+  dontStrip = true;
+
+  installPhase = ''
+    # Copy headers and CMake files.
+    mkdir -p $dev
+    cp -r include $dev
+    cp -r share $dev
+
+    install -Dm755 -t $out/lib lib/*${stdenv.hostPlatform.extensions.sharedLibrary}*
+
+    # We do not care about Java support...
+    rm -f $out/lib/lib*jni* 2> /dev/null || true
+
+    # Fix up library paths for split outputs
+    substituteInPlace $dev/share/cmake/Torch/TorchConfig.cmake \
+      --replace \''${TORCH_INSTALL_PREFIX}/lib "$out/lib" \
+
+    substituteInPlace \
+      $dev/share/cmake/Caffe2/Caffe2Targets-release.cmake \
+      --replace \''${_IMPORT_PREFIX}/lib "$out/lib" \
+  '';
+
+  postFixup = let
+    rpath = lib.makeLibraryPath [ stdenv.cc.cc.lib ];
+  in lib.optionalString stdenv.isLinux ''
+    find $out/lib -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
+      echo "setting rpath for $lib..."
+      patchelf --set-rpath "${rpath}:$out/lib" "$lib"
+      ${lib.optionalString cudaSupport ''
+        addOpenGLRunpath "$lib"
+      ''}
+    done
+  '' + lib.optionalString stdenv.isDarwin ''
+    for f in $out/lib/*.dylib; do
+        otool -L $f
+    done
+    for f in $out/lib/*.dylib; do
+      install_name_tool -id $out/lib/$(basename $f) $f || true
+      for rpath in $(otool -L $f | grep rpath | awk '{print $1}');do
+        install_name_tool -change $rpath $out/lib/$(basename $rpath) $f
+      done
+      if otool -L $f | grep /usr/lib/libc++ >& /dev/null; then
+        install_name_tool -change /usr/lib/libc++.1.dylib ${libcxx-for-libtorch.outPath}/lib/libc++.1.0.dylib $f
+      fi
+    done
+    for f in $out/lib/*.dylib; do
+        otool -L $f
+    done
+  '';
+
+  outputs = [ "out" "dev" ];
+
+  passthru.tests.cmake = callPackage ./test {
+    inherit cudaSupport;
+  };
+
+  meta = with lib; {
+    description = "C++ API of the PyTorch machine learning framework";
+    homepage = "https://pytorch.org/";
+    # 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;
+    maintainers = with maintainers; [ junjihashimoto ];
+    platforms = platforms.unix;
+  };
+}