numba: Segfault when importing numba in conda environment
While trying to figure out what is causing https://github.com/lmcinnes/pynndescent/issues/70, I’ve realized something very strange.
Importing numba causes a segfault:
> python -c 'import numba'
zsh: segmentation fault (core dumped) python -c 'import numba'
However, this only happens in a conda environment. I can get this segfault consistently by setting up the environment like this:
conda create --name tmp python=3.7.4
conda activate tmp
pip install numba
python -c 'import numba' # segfault
However, if I set up the environment using virtualenv, everything is fine:
virtualenv venv
source venv/bin/activate
pip install numba
python -c 'import numba' # NO segfault
In both cases, the exact same packages are installed
> pip freeze
llvmlite==0.29.0
numba==0.45.1
numpy==1.17.1
Additionally, llvmlite doesn’t seem to be the problem, since I can run python -c 'import llvmlite' without segfaulting.
At first, I suspected this had something to do with the new numpy version since it started failing at about the same time as the 1.17 release, but I can reproduce the segfault by downgrading numpy both to 1.16.4 and 1.15.4, so the issue must lie in numba somewhere.
I’m running Arch Linux x86_64 using Kernel: 5.2.11-arch1-1-ARCH.
About this issue
- Original URL
- State: open
- Created 5 years ago
- Reactions: 4
- Comments: 29 (12 by maintainers)
I had the same issue with an install of numba from pypi into a conda environment (as a dependency of another package only on pypi). Installing llvmlite from conda, fixed the problem. I’m running fedora 29 and have python 3.7.3 in the conda environment. For ldd I see:
I just noticed the following: for whatever its worth, when I import
scipy.optimizebefore numba, it does not segfault. Version infoThis worked for me too. Just go
conda install numba==0.46. Done. Using python 3.7.5 and Ubuntu 19.10