nixpkgs/pkgs/development/libraries/science/math/libtorch/bin.nix

124 lines
5.6 KiB
Nix

{ callPackage
, stdenv
, fetchzip
, lib
, addOpenGLRunpath
, patchelf
, fixDarwinDylibNames
, cudaSupport
, cudatoolkit_11_1
, cudnn_cudatoolkit_11_1
}:
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 = "1.8.1";
device = if cudaSupport then "cuda" else "cpu";
srcs = import ./binary-hashes.nix version;
unavailable = throw "libtorch is not available for this platform";
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 ''
install_name_tool -change @rpath/libshm.dylib $out/lib/libshm.dylib $out/lib/libtorch_python.dylib
install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libtorch_python.dylib
install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libtorch_python.dylib
install_name_tool -change @rpath/libtorch.dylib $out/lib/libtorch.dylib $out/lib/libtorch_python.dylib
install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libtorch_python.dylib
install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libtorch.dylib
install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libtorch.dylib
install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libtorch.dylib
install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libtorch_cpu.dylib
install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libtorch_cpu.dylib
install_name_tool -change @rpath/libtensorpipe.dylib $out/lib/libtensorpipe.dylib $out/lib/libtorch_cpu.dylib
install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libcaffe2_observers.dylib
install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libcaffe2_observers.dylib
install_name_tool -change @rpath/libtorch.dylib $out/lib/libtorch.dylib $out/lib/libcaffe2_observers.dylib
install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libcaffe2_observers.dylib
install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libcaffe2_module_test_dynamic.dylib
install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libcaffe2_module_test_dynamic.dylib
install_name_tool -change @rpath/libtorch.dylib $out/lib/libtorch.dylib $out/lib/libcaffe2_module_test_dynamic.dylib
install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libcaffe2_module_test_dynamic.dylib
install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libcaffe2_detectron_ops.dylib
install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libcaffe2_detectron_ops.dylib
install_name_tool -change @rpath/libtorch.dylib $out/lib/libtorch.dylib $out/lib/libcaffe2_detectron_ops.dylib
install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libcaffe2_detectron_ops.dylib
install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libshm.dylib
install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libshm.dylib
install_name_tool -change @rpath/libtorch.dylib $out/lib/libtorch.dylib $out/lib/libshm.dylib
install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libshm.dylib
install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libtorch_global_deps.dylib
install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libtorch_global_deps.dylib
'';
outputs = [ "out" "dev" ];
passthru.tests.cmake = callPackage ./test {
inherit cudaSupport;
cudatoolkit = cudatoolkit_11_1;
cudnn = cudnn_cudatoolkit_11_1;
};
meta = with lib; {
description = "C++ API of the PyTorch machine learning framework";
homepage = "https://pytorch.org/";
license = licenses.unfree; # Includes CUDA and Intel MKL.
maintainers = with maintainers; [ danieldk ];
platforms = with platforms; linux ++ darwin;
};
}