Merge pull request #118964 from danieldk/pytorch-no-tests

python3Packages.pytorch: disable building of tests
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Jörg Thalheim 2021-04-11 15:22:13 +01:00 committed by GitHub
commit 57ae5de960
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@ -38,6 +38,7 @@ assert !(MPISupport && cudaSupport) || mpi.cudatoolkit == cudatoolkit;
assert !cudaSupport || magma.cudatoolkit == cudatoolkit;
let
setBool = v: if v then "1" else "0";
cudatoolkit_joined = symlinkJoin {
name = "${cudatoolkit.name}-unsplit";
# nccl is here purely for semantic grouping it could be moved to nativeBuildInputs
@ -160,16 +161,17 @@ in buildPythonPackage rec {
# Use pytorch's custom configurations
dontUseCmakeConfigure = true;
BUILD_NAMEDTENSOR = true;
BUILD_DOCS = buildDocs;
BUILD_NAMEDTENSOR = setBool true;
BUILD_DOCS = setBool buildDocs;
USE_MKL = blas.implementation == "mkl";
# We only do an imports check, so do not build tests either.
BUILD_TEST = setBool false;
# Unlike MKL, oneDNN (née MKLDNN) is FOSS, so we enable support for
# it by default. PyTorch currently uses its own vendored version
# of oneDNN through Intel iDeep.
USE_MKLDNN = mklDnnSupport;
USE_MKLDNN_CBLAS = mklDnnSupport;
USE_MKLDNN = setBool mklDnnSupport;
USE_MKLDNN_CBLAS = setBool mklDnnSupport;
preBuild = ''
export MAX_JOBS=$NIX_BUILD_CORES
@ -198,7 +200,7 @@ in buildPythonPackage rec {
PYTORCH_BUILD_VERSION = version;
PYTORCH_BUILD_NUMBER = 0;
USE_SYSTEM_NCCL=useSystemNccl; # don't build pytorch's third_party NCCL
USE_SYSTEM_NCCL=setBool useSystemNccl; # don't build pytorch's third_party NCCL
# Suppress a weird warning in mkl-dnn, part of ideep in pytorch
# (upstream seems to have fixed this in the wrong place?)