libtorch-bin: init at 1.6.0
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111
pkgs/development/libraries/science/math/libtorch/bin.nix
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111
pkgs/development/libraries/science/math/libtorch/bin.nix
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{ callPackage
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, stdenv
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, fetchzip
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, lib
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, addOpenGLRunpath
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, patchelf
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, fixDarwinDylibNames
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, cudaSupport
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, nvidia_x11
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}:
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let
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version = "1.6.0";
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device = if cudaSupport then "cuda" else "cpu";
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srcs = import ./binary-hashes.nix;
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unavailable = throw "libtorch is not available for this platform";
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in stdenv.mkDerivation {
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inherit version;
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pname = "libtorch";
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src = fetchzip srcs."${stdenv.targetPlatform.system}-${device}" or unavailable;
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nativeBuildInputs =
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if stdenv.isDarwin then [ fixDarwinDylibNames ]
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else [ addOpenGLRunpath patchelf ]
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++ stdenv.lib.optionals cudaSupport [ addOpenGLRunpath ];
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buildInputs = [
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stdenv.cc.cc
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] ++ lib.optionals cudaSupport [ nvidia_x11 ];
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dontBuild = true;
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dontConfigure = true;
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dontStrip = true;
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installPhase = ''
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# Copy headers and CMake files.
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install -Dm755 -t $dev/lib lib/*.a
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cp -r include $dev
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cp -r share $dev
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install -Dm755 -t $out/lib lib/*${stdenv.hostPlatform.extensions.sharedLibrary}*
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# We do not care about Java support...
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rm -f $out/lib/lib*jni* 2> /dev/null || true
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'';
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postFixup = let
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libPaths = [ stdenv.cc.cc.lib ]
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++ stdenv.lib.optionals cudaSupport [ nvidia_x11 ];
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rpath = stdenv.lib.makeLibraryPath libPaths;
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in stdenv.lib.optionalString stdenv.isLinux ''
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find $out/lib -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
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echo "setting rpath for $lib..."
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patchelf --set-rpath "${rpath}:$out/lib" "$lib"
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${lib.optionalString cudaSupport ''
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addOpenGLRunpath "$lib"
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''}
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done
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'' + stdenv.lib.optionalString stdenv.isDarwin ''
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install_name_tool -change @rpath/libshm.dylib $out/lib/libshm.dylib $out/lib/libtorch_python.dylib
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install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libtorch_python.dylib
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install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libtorch_python.dylib
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install_name_tool -change @rpath/libtorch.dylib $out/lib/libtorch.dylib $out/lib/libtorch_python.dylib
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install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libtorch_python.dylib
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install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libtorch.dylib
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install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libtorch.dylib
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install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libtorch.dylib
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install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libtorch_cpu.dylib
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install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libtorch_cpu.dylib
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install_name_tool -change @rpath/libtensorpipe.dylib $out/lib/libtensorpipe.dylib $out/lib/libtorch_cpu.dylib
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install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libcaffe2_observers.dylib
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install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libcaffe2_observers.dylib
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install_name_tool -change @rpath/libtorch.dylib $out/lib/libtorch.dylib $out/lib/libcaffe2_observers.dylib
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install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libcaffe2_observers.dylib
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install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libcaffe2_module_test_dynamic.dylib
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install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libcaffe2_module_test_dynamic.dylib
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install_name_tool -change @rpath/libtorch.dylib $out/lib/libtorch.dylib $out/lib/libcaffe2_module_test_dynamic.dylib
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install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libcaffe2_module_test_dynamic.dylib
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install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libcaffe2_detectron_ops.dylib
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install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libcaffe2_detectron_ops.dylib
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install_name_tool -change @rpath/libtorch.dylib $out/lib/libtorch.dylib $out/lib/libcaffe2_detectron_ops.dylib
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install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libcaffe2_detectron_ops.dylib
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install_name_tool -change @rpath/libc10.dylib $out/lib/libc10.dylib $out/lib/libshm.dylib
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install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libshm.dylib
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install_name_tool -change @rpath/libtorch.dylib $out/lib/libtorch.dylib $out/lib/libshm.dylib
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install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libshm.dylib
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install_name_tool -change @rpath/libiomp5.dylib $out/lib/libiomp5.dylib $out/lib/libtorch_global_deps.dylib
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install_name_tool -change @rpath/libtorch_cpu.dylib $out/lib/libtorch_cpu.dylib $out/lib/libtorch_global_deps.dylib
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'';
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outputs = [ "out" "dev" ];
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passthru.tests = callPackage ./test { };
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meta = with stdenv.lib; {
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description = "C++ API of the PyTorch machine learning framework";
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homepage = "https://pytorch.org/";
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license = licenses.unfree; # Includes CUDA and Intel MKL.
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platforms = with platforms; linux ++ darwin;
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};
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}
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@ -0,0 +1,14 @@
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{
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x86_64-darwin-cpu = {
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url = "https://download.pytorch.org/libtorch/cpu/libtorch-macos-1.6.0.zip";
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sha256 = "0d4n7la31qzl4s9pwvm07la7q6lhcwiww0yjpfz3kw6nvx84p22r";
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};
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x86_64-linux-cpu = {
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url = "https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-1.6.0%2Bcpu.zip";
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sha256 = "1975b4zvyihzh89vnwspw0vf9qr05sxj8939vcrlmv3gzvdspcxz";
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};
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x86_64-linux-cuda = {
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url = "https://download.pytorch.org/libtorch/cu102/libtorch-cxx11-abi-shared-with-deps-1.6.0.zip";
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sha256 = "127qnfyi1faqbm40sbnsyqxjhrqj82bzwqyz7c1hs2bm0zgrrpya";
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};
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}
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@ -0,0 +1,4 @@
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find_package(Torch REQUIRED)
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")
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add_executable(test test.cpp)
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target_link_libraries(test "${TORCH_LIBRARIES}")
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@ -0,0 +1,26 @@
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{ stdenv, cmake, libtorch-bin, symlinkJoin }:
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stdenv.mkDerivation {
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pname = "libtorch-test";
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version = libtorch-bin.version;
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src = ./.;
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postPatch = ''
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cat CMakeLists.txt
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'';
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makeFlags = [ "VERBOSE=1" ];
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nativeBuildInputs = [ cmake ];
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buildInputs = [ libtorch-bin ];
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installPhase = ''
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touch $out
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'';
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checkPhase = ''
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./test
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'';
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}
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@ -0,0 +1,7 @@
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#include <torch/torch.h>
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#include <iostream>
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int main() {
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torch::Tensor tensor = torch::eye(3);
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std::cout << tensor << std::endl;
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}
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@ -1367,6 +1367,11 @@ in
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then python.pkgs.tensorflow.libtensorflow
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else libtensorflow-bin;
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libtorch-bin = callPackage ../development/libraries/science/math/libtorch/bin.nix {
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inherit (linuxPackages) nvidia_x11;
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cudaSupport = pkgs.config.cudaSupport or false;
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};
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behdad-fonts = callPackage ../data/fonts/behdad-fonts { };
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bless = callPackage ../applications/editors/bless { };
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