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Pin scipy to 1.4.1.

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Fixes segfaults caused by scipy/scipy#11237 before 1.4.1 (observed at scipy==1.4.0 and any version of TF and scipy==1.1.0 and TF==2.1.0rc1 on a specific VM setup)

PiperOrigin-RevId: 286416747
Change-Id: I9f66f9145517d3b9279883a9292ae050b0dfa555
This commit is contained in:
Mihai Maruseac 2019-12-19 10:22:28 -08:00 committed by TensorFlower Gardener
parent 3de6967d05
commit 54daf3c570
7 changed files with 10 additions and 8 deletions
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2
tensorflow/tools/ci_build/builds/pip_new.sh
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@ -273,7 +273,7 @@ PYTHON_BIN_PATH_INIT=${PYTHON_BIN_PATH}
PIP_BIN_PATH="$(which pip${PY_MAJOR_MINOR_VER})"
# PIP packages
INSTALL_EXTRA_PIP_PACKAGES="h5py portpicker scipy scikit-learn ${TF_BUILD_INSTALL_EXTRA_PIP_PACKAGES}"
INSTALL_EXTRA_PIP_PACKAGES="h5py portpicker scipy==1.4.1 scikit-learn ${TF_BUILD_INSTALL_EXTRA_PIP_PACKAGES}"
###########################################################################
# Build TF PIP Package

4
tensorflow/tools/ci_build/install/install_centos_pip_packages.sh
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@ -57,8 +57,8 @@ pip3 install --upgrade protobuf==3.6.1
pip2 install --upgrade numpy==1.14.5
pip3 install --upgrade numpy==1.14.5
pip2 install scipy==1.1.0
pip3 install scipy==1.1.0
pip2 install scipy==1.2.2
pip3 install scipy==1.4.1
pip2 install scikit-learn==0.18.1
pip3 install scikit-learn==0.18.1

4
tensorflow/tools/ci_build/install/install_pip_packages.sh
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@ -78,8 +78,8 @@ else
pip3 install --upgrade numpy==1.14.5
fi
pip2 install scipy==1.1.0
pip3 install scipy==1.1.0
pip2 install scipy==1.2.2
pip3 install scipy==1.4.1
pip2 install scikit-learn==0.18.1
pip3 install scikit-learn==0.18.1

2
tensorflow/tools/ci_build/install/install_python3.5_pip_packages.sh
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@ -64,7 +64,7 @@ rm -rf /usr/lib/python3/dist-packages/six*
# This workaround isn't needed for Ubuntu 16.04 or later.
pip3.5 install --no-binary=:all: --upgrade numpy==1.14.5
pip3.5 install scipy==0.18.1
pip3.5 install scipy==1.4.1
pip3.5 install scikit-learn==0.19.1

2
tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh
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@ -76,7 +76,7 @@ rm -rf /usr/lib/python3/dist-packages/six*
# This workaround isn't needed for Ubuntu 16.04 or later.
pip3 install --no-binary=:all: --upgrade numpy==1.14.5
pip3 install scipy==0.18.1
pip3 install scipy==1.4.1
pip3 install scikit-learn==0.19.1

2
tensorflow/tools/ci_build/release/common.sh
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@ -204,7 +204,7 @@ function install_macos_pip_deps {
# TODO(aselle): Change all these to be --user instead of sudo.
${SUDO_CMD} ${PIP_CMD} install --upgrade setuptools==39.1.0
${SUDO_CMD} ${PIP_CMD} install keras_preprocessing==1.1.0 --no-deps
${SUDO_CMD} ${PIP_CMD} install --upgrade mock portpicker scipy grpcio
${SUDO_CMD} ${PIP_CMD} install --upgrade mock portpicker scipy==1.4.1 grpcio
${SUDO_CMD} ${PIP_CMD} install six==1.12.0
${SUDO_CMD} ${PIP_CMD} install scikit-learn==0.20.3
${SUDO_CMD} ${PIP_CMD} install numpy==1.14.5

2
tensorflow/tools/pip_package/setup.py
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@ -73,6 +73,8 @@ REQUIRED_PACKAGES = [
# functools comes with python3, need to install the backport for python2
'functools32 >= 3.2.3;python_version<"3"',
'six >= 1.12.0',
# scipy < 1.4.1 causes segfaults due to pybind11
'scipy == 1.4.1',
]
if sys.byteorder == 'little':