Merge pull request #118964 from danieldk/pytorch-no-tests
python3Packages.pytorch: disable building of tests
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commit
57ae5de960
1 changed files with 8 additions and 6 deletions
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@ -38,6 +38,7 @@ assert !(MPISupport && cudaSupport) || mpi.cudatoolkit == cudatoolkit;
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assert !cudaSupport || magma.cudatoolkit == cudatoolkit;
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let
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setBool = v: if v then "1" else "0";
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cudatoolkit_joined = symlinkJoin {
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name = "${cudatoolkit.name}-unsplit";
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# nccl is here purely for semantic grouping it could be moved to nativeBuildInputs
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@ -160,16 +161,17 @@ in buildPythonPackage rec {
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# Use pytorch's custom configurations
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dontUseCmakeConfigure = true;
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BUILD_NAMEDTENSOR = true;
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BUILD_DOCS = buildDocs;
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BUILD_NAMEDTENSOR = setBool true;
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BUILD_DOCS = setBool buildDocs;
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USE_MKL = blas.implementation == "mkl";
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# We only do an imports check, so do not build tests either.
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BUILD_TEST = setBool false;
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# Unlike MKL, oneDNN (née MKLDNN) is FOSS, so we enable support for
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# it by default. PyTorch currently uses its own vendored version
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# of oneDNN through Intel iDeep.
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USE_MKLDNN = mklDnnSupport;
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USE_MKLDNN_CBLAS = mklDnnSupport;
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USE_MKLDNN = setBool mklDnnSupport;
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USE_MKLDNN_CBLAS = setBool mklDnnSupport;
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preBuild = ''
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export MAX_JOBS=$NIX_BUILD_CORES
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@ -198,7 +200,7 @@ in buildPythonPackage rec {
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PYTORCH_BUILD_VERSION = version;
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PYTORCH_BUILD_NUMBER = 0;
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USE_SYSTEM_NCCL=useSystemNccl; # don't build pytorch's third_party NCCL
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USE_SYSTEM_NCCL=setBool useSystemNccl; # don't build pytorch's third_party NCCL
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# Suppress a weird warning in mkl-dnn, part of ideep in pytorch
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# (upstream seems to have fixed this in the wrong place?)
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