libtorch-bin: fix passthru.tests for CUDA
- Provide the CUDA toolkit and CuDNN dependencies. - Expose libcuda.so stub to run the test in the sandbox.
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2 changed files with 44 additions and 7 deletions
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@ -8,9 +8,16 @@
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, fixDarwinDylibNames
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, fixDarwinDylibNames
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, cudaSupport
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, cudaSupport
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, cudatoolkit_10_2
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, cudnn_cudatoolkit_10_2
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}:
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}:
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let
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let
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# The binary libtorch distribution statically links the CUDA
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# toolkit. This means that we do not need to provide CUDA to
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# this derivation. However, we should ensure on version bumps
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# that the CUDA toolkit for `passthru.tests` is still
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# up-to-date.
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version = "1.7.1";
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version = "1.7.1";
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device = if cudaSupport then "cuda" else "cpu";
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device = if cudaSupport then "cuda" else "cpu";
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srcs = import ./binary-hashes.nix version;
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srcs = import ./binary-hashes.nix version;
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@ -50,8 +57,7 @@ in stdenv.mkDerivation {
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'';
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'';
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postFixup = let
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postFixup = let
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libPaths = [ stdenv.cc.cc.lib ];
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rpath = lib.makeLibraryPath [ stdenv.cc.cc.lib ];
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rpath = lib.makeLibraryPath libPaths;
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in lib.optionalString stdenv.isLinux ''
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in 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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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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echo "setting rpath for $lib..."
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@ -101,7 +107,11 @@ in stdenv.mkDerivation {
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outputs = [ "out" "dev" ];
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outputs = [ "out" "dev" ];
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passthru.tests.cmake = callPackage ./test { };
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passthru.tests.cmake = callPackage ./test {
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inherit cudaSupport;
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cudatoolkit = cudatoolkit_10_2;
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cudnn = cudnn_cudatoolkit_10_2;
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};
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meta = with lib; {
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meta = with lib; {
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description = "C++ API of the PyTorch machine learning framework";
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description = "C++ API of the PyTorch machine learning framework";
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@ -1,6 +1,28 @@
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{ stdenv, cmake, libtorch-bin, symlinkJoin }:
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{ lib
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, stdenv
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, cmake
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, libtorch-bin
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, linkFarm
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, symlinkJoin
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stdenv.mkDerivation {
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, cudaSupport
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, cudatoolkit
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, cudnn
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}:
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let
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cudatoolkit_joined = symlinkJoin {
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name = "${cudatoolkit.name}-unsplit";
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paths = [ cudatoolkit.out cudatoolkit.lib ];
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};
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# We do not have access to /run/opengl-driver/lib in the sandbox,
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# so use a stub instead.
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cudaStub = linkFarm "cuda-stub" [{
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name = "libcuda.so.1";
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path = "${cudatoolkit}/lib/stubs/libcuda.so";
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}];
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in stdenv.mkDerivation {
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pname = "libtorch-test";
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pname = "libtorch-test";
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version = libtorch-bin.version;
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version = libtorch-bin.version;
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@ -8,7 +30,11 @@ stdenv.mkDerivation {
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nativeBuildInputs = [ cmake ];
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nativeBuildInputs = [ cmake ];
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buildInputs = [ libtorch-bin ];
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buildInputs = [ libtorch-bin ] ++
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lib.optionals cudaSupport [ cudnn ];
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cmakeFlags = lib.optionals cudaSupport
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[ "-DCUDA_TOOLKIT_ROOT_DIR=${cudatoolkit_joined}" ];
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doCheck = true;
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doCheck = true;
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@ -17,6 +43,7 @@ stdenv.mkDerivation {
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'';
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'';
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checkPhase = ''
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checkPhase = ''
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./test
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LD_LIBRARY_PATH=${cudaStub}''${LD_LIBRARY_PATH:+:}$LD_LIBRARY_PATH \
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./test
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'';
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'';
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}
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}
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