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pkg-scripts/python-3.8.8-0.build.sh
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#! /bin/bash | |
# COOKIE=$(mcookie|cut -c-8); grep -v V_GREP_ME $0 > /dev/shm/runme-$COOKIE.sh ; sleep 0.3; exec bash /dev/shm/runme-$COOKIE.sh | |
# TESTING=1 | |
PKG=python | |
VERSION=3.8.8 | |
BUILD=0 | |
PYTHONVER=${VERSION%.*} | |
CUDADIR=/pkg/cuda-11.1.1-0 | |
PREFIX=/pkg/$PKG-$VERSION-$BUILD | |
if [ -n "$TESTING" ]; then PREFIX=/scratch/local2/$PKG-$VERSION-$BUILD ; fi | |
PATH=/bin:/usr/bin:/usr/sbin:/usr/local/bin | |
set -xe | |
umask 022 | |
BUILD_TMPDIR=/scratch/local2/$PKG-$VERSION-$BUILD.build.tmp | |
if [ -n "$TESTING" ]; then BUILD_TMPDIR=/scratch/local2/$PKG-$VERSION-$BUILD.test.build.tmp ; fi | |
test -d $BUILD_TMPDIR && ( chmod -R u+rwx $BUILD_TMPDIR || true ; rm -rf $BUILD_TMPDIR ) | |
mkdir -p $BUILD_TMPDIR/home/.cache/pip | |
mkdir -p $BUILD_TMPDIR/home/.local | |
# copy script to an accessible location | |
cp $0 $BUILD_TMPDIR; ME="$BUILD_TMPDIR/$(basename $0)" | |
export TMPDIR=$BUILD_TMPDIR | |
export HOME=$BUILD_TMPDIR/home | |
exec </dev/null | |
mkdir -p $PREFIX | |
cat >$PREFIX/profile <<-EOF | |
. $CUDADIR/profile | |
PATH=$PREFIX/bin:\$PATH | |
export LD_LIBRARY_PATH=$PREFIX/lib\${LD_LIBRARY_PATH:+:}\$LD_LIBRARY_PATH | |
PKG_CONFIG_PATH=$PREFIX/lib/pkgconfig\${PKG_CONFIG_PATH:+:}\$PKG_CONFIG_PATH | |
export PKG_CONFIG_PATH | |
if [ -d $PREFIX/.compatlibs ]; then export LD_LIBRARY_PATH=$PREFIX/.compatlibs\${LD_LIBRARY_PATH:+:}\$LD_LIBRARY_PATH ; fi | |
EOF | |
. $PREFIX/profile | |
NPROC=$(( $(nproc) * 4 / 5 + 1 )) | |
export MAKEFLAGS="-j $NPROC" | |
BUILDDIR=$PREFIX/build | |
mkdir -p $BUILDDIR | |
cd $BUILDDIR | |
# orig: https://www.python.org/ftp/python/3.8.8/Python-3.8.8.tgz | |
BEEHIVE=https://beehive.molgen.mpg.de/d3af3b87e134c01c7f054205703adda2/Python-3.8.8.tgz | |
test -e Python-$VERSION.tgz || wget -nv $BEEHIVE | |
test -d Python-$VERSION || tar -xf Python-$VERSION.tgz | |
cd Python-$VERSION | |
LDFLAGS="-Wl,-rpath=$PREFIX/lib" \ | |
./configure \ | |
--prefix=$PREFIX \ | |
--enable-shared | |
make -j $NPROC | |
# make test # || true # 'test_socket' seems to run for ever | |
make install | |
# it might come to happen that something down the line may just call 'python', defuse ... | |
test -e $PREFIX/bin/python || ln -s python3 $PREFIX/bin/python | |
( # sip: tool to create Python bindings for C and C++ libraries., v6 is out, but not so popular at the moment | |
cd $BUILDDIR | |
SIP_VERSION=4.19.24 | |
# orig: https://www.riverbankcomputing.com/static/Downloads/sip/$SIP_VERSION/sip-$SIP_VERSION.tar.gz | |
BEEHIVE=https://beehive.molgen.mpg.de/595e9ad6bb0a4b3a6ea92c163a05d19c/sip-4.19.24.tar.gz | |
test -e sip-$SIP_VERSION.tar.gz || wget -nv $BEEHIVE | |
test -d sip-$SIP_VERSION || tar -xf sip-$SIP_VERSION.tar.gz | |
cd sip-$SIP_VERSION | |
#### ATTN! | |
#### python meanders between /python${PYTHONVER} and /python${PYTHONVER}m | |
python3 configure.py \ | |
-b $PREFIX/bin \ | |
-d $PREFIX/lib/python$PYTHONVER/site-packages \ | |
-e $PREFIX/include/python${PYTHONVER} \ | |
-v $PREFIX/share/sip \ | |
--sip-module=sip | |
# well, right here share/sip is spoilage, but maybe some packages will use the decent sip later on ... | |
mkdir -p $PREFIX/share/sip | |
make -j $NPROC | |
make install | |
) | |
( # now for the private (sic!) version required by newer PyQt | |
cd $BUILDDIR | |
SIP_VERSION=4.19.24 | |
mkdir -p private_sip | |
cd private_sip | |
# orig: https://www.riverbankcomputing.com/static/Downloads/sip/$SIP_VERSION/sip-$SIP_VERSION.tar.gz | |
BEEHIVE=https://beehive.molgen.mpg.de/595e9ad6bb0a4b3a6ea92c163a05d19c/sip-4.19.24.tar.gz | |
test -e sip-$SIP_VERSION.tar.gz || wget -nv $BEEHIVE | |
test -d sip-$SIP_VERSION || tar -xf sip-$SIP_VERSION.tar.gz | |
cd sip-$SIP_VERSION | |
# note $PREFIX/share/sip/PyQt5 is mandatory | |
python3 configure.py \ | |
-d $PREFIX/lib/python$PYTHONVER/site-packages \ | |
-v $PREFIX/share/sip/PyQt5 \ | |
--no-tools \ | |
--sip-module=PyQt5.sip | |
mkdir -p $PREFIX/share/sip/PyQt5 | |
make -j $NPROC | |
# The resulting sip.so in site-packages/PyQt5 differs indeed a bit (grep for PyQt5) | |
make install | |
) | |
( | |
cd $BUILDDIR | |
PYQT_VERSION=5.15.2 | |
# orig: https://files.pythonhosted.org/packages/28/6c/640e3f5c734c296a7193079a86842a789edb7988dca39eab44579088a1d1/PyQt5-5.15.2.tar.gz | |
BEEHIVE=https://beehive.molgen.mpg.de/b94576e9e013210dc5aba061913e4bd4/PyQt5-5.15.2.tar.gz | |
test -e PyQt5-$PYQT_VERSION.tar.gz || wget -nv $BEEHIVE | |
test -d PyQt5-$PYQT_VERSION || tar -xf PyQt5-$PYQT_VERSION.tar.gz | |
cd PyQt5-$PYQT_VERSION | |
#### ATTN! | |
#### python meanders between /python${PYTHONVER} and /python${PYTHONVER}m | |
# export QTDIR=/usr/local/qt5 | |
python3 configure.py \ | |
-b $PREFIX/bin \ | |
-d $PREFIX/lib/python$PYTHONVER/site-packages \ | |
-n $PREFIX/share/qsci \ | |
-q /usr/local/qt5/bin/qmake \ | |
-v $PREFIX/share/sip/PyQt5 \ | |
--sip-incdir=$PREFIX/include/python${PYTHONVER} \ | |
--confirm-license \ | |
--no-qml-plugin \ | |
--no-designer-plugin \ | |
--no-dist-info \ | |
--verbose | |
make -j $NPROC | |
make install | |
) | |
( | |
cd $BUILDDIR | |
QSCINTILLA_VERSION=2.11.6 | |
# orig: https://www.riverbankcomputing.com/static/Downloads/QScintilla/$QSCINTILLA_VERSION/QScintilla-$QSCINTILLA_VERSION.tar.gz | |
BEEHIVE=https://beehive.molgen.mpg.de/343cd0c2c8b425518df2e51eb994fbc6/QScintilla-2.11.6.tar.gz | |
test -e QScintilla-$QSCINTILLA_VERSION.tar.gz || wget -nv $BEEHIVE | |
test -d QScintilla-$QSCINTILLA_VERSION || tar -xf QScintilla-$QSCINTILLA_VERSION.tar.gz | |
cd QScintilla-$QSCINTILLA_VERSION | |
cd Python | |
# apidir follows PyQt, not Qt (default is: QT_INSTALL_DATA/qsci) | |
python3 configure.py \ | |
--pyqt=PyQt5 \ | |
--qmake=/usr/local/qt5/bin/qmake \ | |
--apidir=$PREFIX/share/qsci \ | |
--no-dist-info | |
make -j $NPROC | |
make install | |
) | |
python3 -m ensurepip | |
pip3 install --prefix=$PREFIX -I pip | |
pip3 install --prefix=$PREFIX ipython[all] | |
# install the basic ballpark ... | |
# numpy holds no ref to *_MAX_THREADS, albeit it's an issue, fix via profile? | |
# still persisting: NUMEXPR_MAX_THREADS issue caused by numexpr.utils (braindead defaults from this dependency) | |
pip3 install --prefix=$PREFIX SciPy NumPy Matplotlib pandas SymPy nose statsmodels | |
# clean up some dirt that statsmodels placed also into $PREFIX | |
rm -vf $PREFIX/LICENSE.txt | |
rm -vf $PREFIX/setup.cfg | |
pip3 install --prefix=$PREFIX Cython | |
pip3 install --prefix=$PREFIX pysam | |
pip3 install --prefix=$PREFIX seaborn | |
pip3 install --prefix=$PREFIX scikit-learn | |
#pip3 install --prefix=$PREFIX metaseq # fails (Latest commit fa875d1 on Jan 10, 2017) | |
pip3 install --prefix=$PREFIX Mako | |
pip3 install --prefix=$PREFIX meson # required in mariux | |
pip3 install --prefix=$PREFIX cutadapt # Helpdesk 01/24/18 16:19, Sabrina Krakau | |
pip3 install --prefix=$PREFIX pygobject # Helpdesk 03/26/18 14:19, Virginie Stanisla | |
pip3 install --prefix=$PREFIX blink1 # Blink1-lib 07/04/18 12:00, Niclas Hofmann | |
pip3 install --prefix=$PREFIX umi-tools | |
pip3 install --prefix=$PREFIX sphinx | |
pip3 install --prefix=$PREFIX recommonmark | |
pip3 install --prefix=$PREFIX fastcluster | |
pip3 install --prefix=$PREFIX pydot | |
pip3 install --prefix=$PREFIX pygraphviz | |
pip3 install --prefix=$PREFIX deeptools | |
pip3 install --prefix=$PREFIX HTSeq | |
pip3 install --prefix=$PREFIX keras | |
pip3 install --prefix=$PREFIX keras_preprocessing # tensorflow ... | |
pip3 install --prefix=$PREFIX MotifScan # Alena 30.8.2018 | |
pip3 install --prefix=$PREFIX MAmotif | |
pip3 install --prefix=$PREFIX hic2cool # Helpdesk Robert Schoepflin 17.09.2018 | |
#pip3 install --prefix=$PREFIX hifive # only python 2.7+ | |
pip3 install --prefix=$PREFIX snakemake | |
pip3 install --prefix=$PREFIX virtualenv # Donald | |
pip3 install --prefix=$PREFIX odfpy # Donald | |
pip3 install --prefix=$PREFIX Dumper # Thomas | |
pip3 install --prefix=$PREFIX igraph | |
pip3 install --prefix=$PREFIX louvain # monocle3 prep for Helene | |
pip3 install --prefix=$PREFIX selenium # 19.7.19 Kreitler -> https://webxray.org/ | |
pip3 install --prefix=$PREFIX cooltools # Maria Valieva 17.7.2019 | |
pip3 install --prefix=$PREFIX gmpy # From viper context (Helpdesk Laura Glaser 9.8.2019) | |
pip3 install --prefix=$PREFIX torch | |
pip3 install --prefix=$PREFIX torchvision | |
pip3 install --prefix=$PREFIX plotly | |
pip3 install --prefix=$PREFIX pyOpenCL | |
pip3 install --prefix=$PREFIX docopt | |
pip3 install --prefix=$PREFIX dbus-python | |
pip3 install --prefix=$PREFIX distro | |
pip3 install --prefix=$PREFIX notify | |
pip3 install --prefix=$PREFIX ply | |
pip3 install --prefix=$PREFIX threadpoolctl | |
pip3 install --prefix=$PREFIX pyopengl | |
# creates error, so remove it | |
rm -rf ${PREFIX}/lib/python$PYTHONVER/site-packages/OpenGL/Tk | |
# pip3 install --prefix=$PREFIX HiCExplorer # Would be a nice to have, but it likes to downgrade too much, pick some cherries | |
pip3 install --prefix=$PREFIX HiCMatrix | |
pip3 install --prefix=$PREFIX pybedtools | |
pip3 install --prefix=$PREFIX gffutils | |
pip3 install --prefix=$PREFIX --no-deps "pyGenomeTracks" # example produces plots, so give it a chance, otherwise it's just a dumbfucked downgrader | |
pip3 install --prefix=$PREFIX python-bioformats | |
pip3 install --prefix=$PREFIX jupyterlab # request Peter Arndt | |
pip3 install --prefix=$PREFIX jupyterlab-git | |
pip3 install --prefix=$PREFIX igv_jupyterlab # Matthias Lienhard HD 01-04-2020 | |
pip3 install --prefix=$PREFIX igv-jupyter | |
mkdir -vp $PREFIX/share/jupyter/lab/settings # try to defeat a silly error in jupyter labextension install | |
pip3 install --prefix=$PREFIX libxml2-python3 # required by several bee packages after swich to python3 | |
pip3 install --prefix=$PREFIX scour # https://github.molgen.mpg.de/mariux64/pkg-scripts/issues/98 | |
pip3 install --prefix=$PREFIX multiqc | |
pip3 install --prefix=$PREFIX thonny # nice little ide, kreitler | |
pip3 install --prefix=$PREFIX pybind11 | |
pip3 install --prefix=$PREFIX svgwrite | |
pip3 install --prefix=$PREFIX pyomo | |
pip3 install --prefix=$PREFIX jsbsim # kreitler, hobby | |
pip3 install --prefix=$PREFIX bioservices | |
pip3 install --prefix=$PREFIX pairtools | |
pip3 install --prefix=$PREFIX SharedArray | |
pip3 install --prefix=$PREFIX pyabc # dependency for stochkit, HD 20.07.20 Gemma Noviello | |
pip3 install --prefix=$PREFIX petab | |
pip3 install --prefix=$PREFIX tadtool # HD 26.01.21 Michael Robson | |
# pip3 install --prefix=$PREFIX perf # fails, issue from Paul sep-20, no clue... | |
# pip3 install --prefix=$PREFIX glpk-py # kreitler, fails, wants setuptools_scm, do i want setuptools_scm? | |
pip3 install --prefix=$PREFIX helen # HD, a dependency from a request by helene :) | |
pip3 install --prefix=$PREFIX umap # HD, used by Matthias Lienhard | |
# boost for pycuda | |
( | |
. ${PREFIX}/profile | |
BOOST_VERSION=(1.75.0 1_75_0) | |
PKGCFLAGS="-O2 -fPIC" | |
cd $BUILDDIR | |
# orig: https://dl.bintray.com/boostorg/release/1.75.0/source/boost_1_75_0.tar.gz | |
BEEHIVE=https://beehive.molgen.mpg.de//38813f6feb40387dfe90160debd71251/boost_1_75_0.tar.gz | |
test -e boost_${BOOST_VERSION[1]}.tar.gz || wget -nv $BEEHIVE | |
test -d boost-${BOOST_VERSION[0]} || mkdir boost-${BOOST_VERSION[0]} && tar -xf boost_${BOOST_VERSION[1]}.tar.gz -C boost-${BOOST_VERSION[0]} --strip-components=1 | |
#### ATTN! | |
#### python meanders between /python${PYTHONVER} and /python${PYTHONVER}m | |
cd boost-${BOOST_VERSION[0]} | |
sed -e "/using python/ s|;|: ${PREFIX}/include/python${PYTHONVER} ;|" \ | |
-i bootstrap.sh | |
./bootstrap.sh \ | |
--with-toolset=gcc \ | |
--with-icu \ | |
--with-python=$PREFIX/bin/python3 \ | |
--with-libraries=python,thread || exit 1 | |
./b2 \ | |
-j $NPROC \ | |
--layout=system \ | |
--build-dir=build-python3 \ | |
--prefix=$PREFIX \ | |
--libdir=$PREFIX/lib \ | |
--build-type=minimal \ | |
toolset=gcc \ | |
variant=release \ | |
debug-symbols=off \ | |
link=shared \ | |
threading=multi \ | |
runtime-link=shared \ | |
python=$PYTHONVER \ | |
cflags="$PKGCFLAGS" \ | |
cxxflags="$PKGCFLAGS" \ | |
install || exit 1 | |
) | |
# use pycuda git version to get GL support | |
( | |
PYCUDAVERS=2020.1 | |
PYTHON_LIBNAME=boost_python38 | |
. ${PREFIX}/profile | |
cd $BUILDDIR | |
# orig: https://github.com/inducer/pycuda/archive/v2020.1.tar.gz | |
BEEHIVE=https://beehive.molgen.mpg.de/580562d7af4d3249c5b42a1df8d428a0/pycuda-2020.1.tar.gz | |
test -e pycuda-${PYCUDAVERS}.tar.gz || wget -nv $BEEHIVE | |
test -d pycuda-${PYCUDAVERS} || tar -xf pycuda-${PYCUDAVERS}.tar.gz | |
cd pycuda-${PYCUDAVERS} | |
test -e siteconf.py && rm siteconf.py | |
python3 configure.py \ | |
--cuda-enable-gl \ | |
--cuda-root=$CUDADIR \ | |
--no-use-shipped-boost \ | |
--boost-python-libname=$PYTHON_LIBNAME \ | |
--boost-inc-dir=$PREFIX/include \ | |
--boost-lib-dir=$PREFIX/lib \ | |
--cudadrv-lib-dir='${CUDA_ROOT}/lib,${CUDA_ROOT}/lib/stubs' \ | |
--cudart-lib-dir='${CUDA_ROOT}/lib,${CUDA_ROOT}/lib/stubs' \ | |
--curand-lib-dir='${CUDA_ROOT}/lib,${CUDA_ROOT}/lib/stubs' \ | |
--ldflags=-L$PREFIX/lib | |
python3 setup.py install --prefix $PREFIX | |
) | |
( | |
# orig:https://github.com/nboley/idr/archive/2.0.3/idr-2.0.3.tar.gz # HD: Tobias Zehnder, 18.3.21 | |
BEEHIVE=https://beehive.molgen.mpg.de/1bec61b526bb1dcf92a5ab99c27852d0/idr-2.0.3.tar.gz | |
test -e idr-2.0.3.tar.gz || wget -nv $BEEHIVE | |
test -d idr-2.0.3 || tar -xf idr-2.0.3.tar.gz | |
cd idr-2.0.3 | |
python3 setup.py build | |
python3 setup.py install --prefix $PREFIX | |
) | |
# finaly tensorflaw | |
( | |
TFVERSION=2.3.2 | |
. ${PREFIX}/profile | |
. /pkg/bazel-3.4.1-0/profile | |
cd $BUILDDIR | |
# orig: https://github.com/tensorflow/tensorflow/archive/v${TFVERSION}/tensorflow-${TFVERSION}.tar.gz | |
BEEHIVE=https://beehive.molgen.mpg.de/b444d145beb5c8195c0476111747c8fa/tensorflow-2.3.2.tar.gz | |
test -e tensorflow-${TFVERSION}.tar.gz || wget -nv $BEEHIVE | |
test -d tensorflow-${TFVERSION} || tar -xf tensorflow-${TFVERSION}.tar.gz | |
cd tensorflow-${TFVERSION} | |
# use patch(es) from below ... | |
sed -ne '/^#Epatch:f16/ s/^#Epatch:\S* // p' $ME | patch -p1 --verbose | |
sed -ne '/^#Epatch:rtver/ s/^#Epatch:\S* // p' $ME | patch -p1 --verbose | |
#vars for config | |
export PYTHON_BIN_PATH=${PREFIX}/bin/python3 | |
export USE_DEFAULT_PYTHON_LIB_PATH=1 | |
export TF_NEED_JEMALLOC=1 | |
export TF_NEED_KAFKA=0 | |
export TF_NEED_OPENCL_SYCL=0 | |
export TF_NEED_AWS=0 | |
export TF_NEED_GCP=0 | |
export TF_NEED_HDFS=0 | |
export TF_NEED_S3=0 | |
export TF_ENABLE_XLA=1 | |
export TF_NEED_GDR=0 | |
export TF_NEED_VERBS=0 | |
export TF_NEED_OPENCL=0 | |
export TF_NEED_MPI=0 | |
export TF_NEED_TENSORRT=1 | |
export TF_NEED_NGRAPH=0 | |
export TF_NEED_IGNITE=0 | |
export TF_NEED_ROCM=0 | |
export TF_SET_ANDROID_WORKSPACE=0 | |
export TF_DOWNLOAD_CLANG=0 | |
export TF_NCCL_VERSION=2.7 | |
export TF_IGNORE_MAX_BAZEL_VERSION=1 | |
export NCCL_INSTALL_PATH=${CUDADIR} | |
export GCC_HOST_COMPILER_PATH=/usr/bin/gcc | |
export TF_CUDA_CLANG=0 | |
export CLANG_CUDA_COMPILER_PATH=/usr/bin/clang | |
export TF_CUDA_PATHS=${CUDADIR},${CUDADIR}/extras/CUPTI,${CUDADIR}/nvvm | |
export TF_CUDA_VERSION=$(${CUDADIR}/bin/nvcc --version | sed -n 's/^.*release \(.*\),.*/\1/p') | |
export TF_CUDNN_VERSION=$(sed -n 's/^#define CUDNN_MAJOR\s*\(.*\).*/\1/p' ${CUDADIR}/include/cudnn_version.h) | |
export TF_CUDA_COMPUTE_CAPABILITIES=3.5,3.7,5.0,5.2,5.3,6.0,6.1,6.2,7.0,7.2,7.5 | |
export CC_OPT_FLAGS="-march=nehalem" | |
export TF_NEED_CUDA=1 | |
./configure | |
bazel build \ | |
--cxxopt="-march=nehalem" \ | |
--copt="-march=nehalem" \ | |
--noshow_loading_progress \ | |
--noshow_progress \ | |
--color="no" \ | |
//tensorflow:libtensorflow.so \ | |
//tensorflow:libtensorflow_cc.so \ | |
//tensorflow:install_headers \ | |
//tensorflow/tools/pip_package:build_pip_package | |
bazel shutdown # otherwise it hogs in cwd | |
# create a _clean/decent_ python package from so far created debris | |
test -d tensorflow-pip && rm -r tensorflow-pip | |
mkdir tensorflow-pip | |
./bazel-bin/tensorflow/tools/pip_package/build_pip_package --src ${BUILDDIR}/tensorflow-pip | |
cd ${BUILDDIR} | |
# ... cope with the ??? symlink-structure placed in bazels' build-TMPDIR (-h) (tell me why ?) | |
test -e tensorflow-pip.tar && rm tensorflow-pip.tar | |
tar -chf tensorflow-pip.tar tensorflow-pip | |
# and perform a regular install | |
test -d tensorflow-pip && rm -r tensorflow-pip | |
tar -xf tensorflow-pip.tar | |
cd ${BUILDDIR}/tensorflow-pip | |
# inhibit downgrading of packages installed | |
sed -ne '/^#Epatch:tfdep/ s/^#Epatch:\S* // p' $ME | patch -p2 --verbose | |
python3 setup.py build | |
python3 setup.py install --prefix $PREFIX | |
) | |
# load all packages, see warnings and spot installation errors | |
# But don't care about r2py, a further dependence into R is not wanted! | |
echo "# START load test." | |
python3 -c 'help("modules")' > /dev/null | |
echo "# END load test." | |
exit | |
### PATCHES | |
# origin? Ooops, I've lost the ref. Found somewhere in TF-github issue-comments, and this code is actually present in TF 2.4 | |
# note: numpy 1.19 or so borked its API, possibly a common deprecation mech is better to be ignored ... | |
#Epatch:f16 --- a/tensorflow/python/lib/core/bfloat16.cc 2021-01-04 21:20:31.000000000 +0100 | |
#Epatch:f16 +++ b/tensorflow/python/lib/core/bfloat16.cc 2021-02-22 17:52:49.012465507 +0100 | |
#Epatch:f16 @@ -517,7 +517,7 @@ | |
#Epatch:f16 } | |
#Epatch:f16 | |
#Epatch:f16 template <typename InType, typename OutType, typename Functor> | |
#Epatch:f16 -void BinaryUFunc(char** args, npy_intp* dimensions, npy_intp* steps, | |
#Epatch:f16 +void BinaryUFunc(char** args, const npy_intp* dimensions, const npy_intp* steps, | |
#Epatch:f16 void* data) { | |
#Epatch:f16 const char* i0 = args[0]; | |
#Epatch:f16 const char* i1 = args[1]; | |
#Epatch:f16 @@ -532,11 +532,17 @@ | |
#Epatch:f16 } | |
#Epatch:f16 } | |
#Epatch:f16 | |
#Epatch:f16 +// Numpy changed const-ness of PyUFuncGenericFunction, provide overload. | |
#Epatch:f16 template <typename Functor> | |
#Epatch:f16 void CompareUFunc(char** args, npy_intp* dimensions, npy_intp* steps, | |
#Epatch:f16 void* data) { | |
#Epatch:f16 BinaryUFunc<bfloat16, npy_bool, Functor>(args, dimensions, steps, data); | |
#Epatch:f16 } | |
#Epatch:f16 +template <typename Functor> | |
#Epatch:f16 +void CompareUFunc(char** args, const npy_intp* dimensions, | |
#Epatch:f16 + const npy_intp* steps, void* data) { | |
#Epatch:f16 + BinaryUFunc<bfloat16, npy_bool, Functor>(args, dimensions, steps, data); | |
#Epatch:f16 +} | |
#Epatch:f16 | |
#Epatch:f16 struct Bfloat16EqFunctor { | |
#Epatch:f16 npy_bool operator()(bfloat16 a, bfloat16 b) { return a == b; } | |
# https://github.com/tensorflow/tensorflow/issues/43588 | |
# conclusio: nvidia disted a 'strange' SOVERSION in libcudart, some distro 'fixed' it ... | |
# ... based on the assumtion that libcudart must be 11.1 | |
# tensorflaw buddies took the distro -- well, know your code | |
# n.b. this is a hack for linux only. | |
#Epatch:rtver --- a/third_party/gpus/cuda_configure.bzl 2021-01-04 21:20:31.000000000 +0100 | |
#Epatch:rtver +++ b/third_party/gpus/cuda_configure.bzl 2021-02-23 21:16:21.699194719 +0100 | |
#Epatch:rtver @@ -533,14 +533,14 @@ | |
#Epatch:rtver "cudart", | |
#Epatch:rtver cpu_value, | |
#Epatch:rtver cuda_config.config["cuda_library_dir"], | |
#Epatch:rtver - cuda_config.cuda_version, | |
#Epatch:rtver + "11.0", | |
#Epatch:rtver static = False, | |
#Epatch:rtver ), | |
#Epatch:rtver "cudart_static": _check_cuda_lib_params( | |
#Epatch:rtver "cudart_static", | |
#Epatch:rtver cpu_value, | |
#Epatch:rtver cuda_config.config["cuda_library_dir"], | |
#Epatch:rtver - cuda_config.cuda_version, | |
#Epatch:rtver + "11.0", | |
#Epatch:rtver static = True, | |
#Epatch:rtver ), | |
#Epatch:rtver "cublas": _check_cuda_lib_params( | |
#Epatch:rtver --- a/third_party/gpus/cuda/cuda_config.h.tpl 2021-02-25 16:09:26.393892637 +0100 | |
#Epatch:rtver +++ b/third_party/gpus/cuda/cuda_config.h.tpl 2021-02-25 16:10:29.387584893 +0100 | |
#Epatch:rtver @@ -17,6 +17,7 @@ | |
#Epatch:rtver #define CUDA_CUDA_CONFIG_H_ | |
#Epatch:rtver | |
#Epatch:rtver #define TF_CUDA_VERSION "%{cuda_version}" | |
#Epatch:rtver +#define TF_CUDART_VERSION "11.0" | |
#Epatch:rtver #define TF_CUBLAS_VERSION "%{cublas_version}" | |
#Epatch:rtver #define TF_CUSOLVER_VERSION "%{cusolver_version}" | |
#Epatch:rtver #define TF_CURAND_VERSION "%{curand_version}" | |
#Epatch:rtver --- a/tensorflow/stream_executor/platform/default/dso_loader.cc 2021-01-04 21:20:31.000000000 +0100 | |
#Epatch:rtver +++ b/tensorflow/stream_executor/platform/default/dso_loader.cc 2021-02-25 16:28:43.867234896 +0100 | |
#Epatch:rtver @@ -30,7 +30,8 @@ | |
#Epatch:rtver namespace internal { | |
#Epatch:rtver | |
#Epatch:rtver namespace { | |
#Epatch:rtver -string GetCudaVersion() { return TF_CUDA_VERSION; } | |
#Epatch:rtver +string GetCudaVersion() { return TF_CUDA_VERSION; } // just libcupti.so | |
#Epatch:rtver +string GetCudartVersion() { return TF_CUDART_VERSION; } // value is hardcoded in cuda_config.h.tpl | |
#Epatch:rtver string GetCudnnVersion() { return TF_CUDNN_VERSION; } | |
#Epatch:rtver string GetCublasVersion() { return TF_CUBLAS_VERSION; } | |
#Epatch:rtver string GetCusolverVersion() { return TF_CUSOLVER_VERSION; } | |
#Epatch:rtver @@ -77,7 +78,7 @@ | |
#Epatch:rtver } | |
#Epatch:rtver | |
#Epatch:rtver port::StatusOr<void*> GetCudaRuntimeDsoHandle() { | |
#Epatch:rtver - return GetDsoHandle("cudart", GetCudaVersion()); | |
#Epatch:rtver + return GetDsoHandle("cudart", GetCudartVersion()); | |
#Epatch:rtver } | |
#Epatch:rtver | |
#Epatch:rtver port::StatusOr<void*> GetCublasDsoHandle() { | |
# Tensorflow-pip | |
# don't downgrade numpy, since the ABI-issue is fixed | |
# don't downgrade h5py, take the risk of manual fixing :) | |
# skip stuff present already | |
#Epatch:tfdep --- a/tensorflow-pip/setup.py 2021-03-05 18:49:44.000000000 +0100 | |
#Epatch:tfdep +++ b/tensorflow-pip/setup.py 2021-03-18 12:03:02.536396036 +0100 | |
#Epatch:tfdep @@ -56,19 +56,12 @@ | |
#Epatch:tfdep 'astunparse == 1.6.3', | |
#Epatch:tfdep 'gast == 0.3.3', | |
#Epatch:tfdep 'google_pasta >= 0.1.8', | |
#Epatch:tfdep - 'h5py >= 2.10.0, < 2.11.0', | |
#Epatch:tfdep - 'keras_preprocessing >= 1.1.1, < 1.2', | |
#Epatch:tfdep - # TODO(mihaimaruseac): numpy 1.19.0 has ABI breakage | |
#Epatch:tfdep - # https://github.com/numpy/numpy/pull/15355 | |
#Epatch:tfdep - 'numpy >= 1.16.0, < 1.19.0', | |
#Epatch:tfdep 'opt_einsum >= 2.3.2', | |
#Epatch:tfdep 'protobuf >= 3.9.2', | |
#Epatch:tfdep 'tensorboard >= 2.3.0, < 3', | |
#Epatch:tfdep 'tensorflow_estimator >= 2.3.0, < 2.4.0', | |
#Epatch:tfdep 'termcolor >= 1.1.0', | |
#Epatch:tfdep 'wrapt >= 1.11.1', | |
#Epatch:tfdep - 'wheel >= 0.26', | |
#Epatch:tfdep - 'six >= 1.12.0', | |
#Epatch:tfdep ] | |
#Epatch:tfdep | |
#Epatch:tfdep if sys.byteorder == 'little': | |