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Hi all,
With a fresh install of Anaconda3 on my machine running Ubuntu 18.10, I created an Intel python environment using the instructions here.
After switching to the environment, I can open run intel python and confirm it's the Intel distro:
Python 3.6.8 |Intel Corporation| (default, Mar 1 2019, 00:10:45) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)] on linux Type "help", "copyright", "credits" or "license" for more information. Intel(R) Distribution for Python is brought to you by Intel Corporation. Please check out: https://software.intel.com/en-us/python-distribution >>>
Upon importing numpy I immediately get a segmentation fault, and I have no idea why:
>>> import numpy as np Segmentation fault (core dumped)
Below is the output of conda list:
# packages in environment at /home/steve/anaconda3/envs/idp: # # Name Version Build Channel absl-py 0.7.1 py36_0 asn1crypto 0.24.0 py36_3 intel astor 0.7.1 py36_0 bzip2 1.0.6 17 intel c-ares 1.15.0 h7b6447c_1 certifi 2018.1.18 py36_2 intel cffi 1.11.5 py36_3 intel chardet 3.0.4 py36_3 intel cryptography 2.3 py36_1 intel cycler 0.10.0 py36_7 intel cython 0.29.3 py36_1 intel daal 2019.3 intel_199 intel daal4py 2019.3 py36h7b7c402_6 intel freetype 2.9 3 intel funcsigs 1.0.2 py36_7 intel gast 0.2.2 py36_0 grpcio 1.14.1 py36h9ba97e2_0 h5py 2.8.0 py36h989c5e5_3 hdf5 1.10.2 2 intel icc_rt 2019.3 intel_199 intel idna 2.6 py36_3 intel impi_rt 2019.3 intel_201 intel intel-openmp 2019.3 intel_199 intel intelpython 2019.3 0 intel intelpython3_core 2019.3 0 intel intelpython3_full 2019.3 0 intel ipp 2019.3 intel_199 intel keras-applications 1.0.7 py_0 keras-preprocessing 1.0.9 py_0 kiwisolver 1.0.1 py36_2 intel libffi 3.2.1 11 intel libgcc-ng 8.2.0 hdf63c60_1 libpng 1.6.36 2 intel libprotobuf 3.7.1 hd408876_0 libstdcxx-ng 8.2.0 hdf63c60_1 llvmlite 0.27.1 py36_0 intel markdown 3.1 py36_0 matplotlib 3.0.1 py36_1 intel mkl 2019.3 intel_199 intel mkl-service 1.0.0 py36_7 intel mkl_fft 1.0.11 py36h7b7c402_0 intel mkl_random 1.0.2 py36h7b7c402_4 intel mpi4py 3.0.0 py36_3 intel numba 0.42.1 np116py36_0 intel numexpr 2.6.8 py36_2 intel numpy 1.16.1 py36h7b7c402_3 intel numpy-base 1.16.1 py36_3 intel openssl 1.0.2r 0 intel pandas 0.24.1 py36_3 intel pip 10.0.1 py36_0 intel protobuf 3.7.1 py36he6710b0_0 pycosat 0.6.3 py36_3 intel pycparser 2.18 py36_2 intel pyeditline 2.0.0 py36_0 intel pyopenssl 17.5.0 py36_2 intel pyparsing 2.2.0 py36_2 intel pysocks 1.6.7 py36_1 intel python 3.6.8 6 intel python-dateutil 2.6.0 py36_12 intel pytz 2018.4 py36_3 intel pyyaml 4.1 py36_3 intel requests 2.20.1 py36_1 intel ruamel_yaml 0.11.14 py36_4 intel scikit-learn 0.20.2 py36h7b7c402_2 intel scipy 1.2.0 py36_3 intel setuptools 39.0.1 py36_0 intel six 1.11.0 py36_3 intel smp 0.1.4 py36_0 intel sqlite 3.27.2 2 intel tbb 2019.4 intel_199 intel tbb4py 2019.4 py36_intel_0 intel tcl 8.6.4 22 intel tensorboard 1.12.2 py36he6710b0_0 tensorflow 1.12.0 py36_0 intel termcolor 1.1.0 py36_1 tk 8.6.4 28 intel urllib3 1.24.1 py36_2 intel werkzeug 0.14.1 py36_0 intel wheel 0.31.0 py36_3 intel xgboost 0.81 py36_0 intel xz 5.2.3 2 intel yaml 0.1.7 2 intel zlib 1.2.11 5 intel
Anyone know how to resolve this? I should note that I can follow the same procedure in Windows 10 and get no errors.
Thanks,
Steve
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Hi,
This crash is caused by an issue in GLIBC version 2.28, used in Ubuntu 18.10
It is fixed in glibc 2.29 though: https://bugs.launchpad.net/ubuntu/+source/glibc/+bug/1821677
Sasha
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Hi,
This crash is caused by an issue in GLIBC version 2.28, used in Ubuntu 18.10
It is fixed in glibc 2.29 though: https://bugs.launchpad.net/ubuntu/+source/glibc/+bug/1821677
Sasha

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