BUG: SegFault when using numpy with jnius #15691
Description
I had a nasty SegFault issue with numpy+jnius in my program.
And after much debugging I found that for some reason -> it was being caused if I used the linalg.inv() function with jnius imported.
I am not sure where the issue exactly is - jnius or numpy?
In jnius: kivy/pyjnius#490
In jpype: jpype-project/jpype#808
Reproducing code example:
I can reproduce this exactly with:
$ docker run --rm -it centos:7 /bin/bash
# yum install -y wget bzip2 which java-1.8.0-openjdk-devel
# wget https://repo.anaconda.com/miniconda/Miniconda3-4.7.12-Linux-x86_64.sh
# bash ./Miniconda3-4.7.12-Linux-x86_64.sh -b
# /root/miniconda3/bin/pip install pyjnius==1.2.1 numpy==1.17.4
# /root/miniconda3/bin/python
>>> import jnius
>>> import numpy as np
>>> tmp = np.linalg.inv(np.random.rand(24, 24))
Segmentation fault
Error message:
GDB Traceback for the SegFault:
(gdb) r
Starting program: /root/miniconda3/bin/python run.py
warning: Error disabling address space randomization: Operation not permitted
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib64/libthread_db.so.1".
Detaching after fork from child process 533.
Detaching after fork from child process 535.
Detaching after fork from child process 536.
Program received signal SIGSEGV, Segmentation fault.
0x00007f3026ee82b4 in ?? ()
Missing separate debuginfos, use: debuginfo-install glibc-2.17-260.el7_6.3.x86_64 java-1.8.0-openjdk-headless-1.8.0.242.b08-0.el7_7.x86_64
(gdb) bt
#0 0x00007f3026ee82b4 in ?? ()
#1 0x0000000000000246 in ?? ()
#2 0x00007f3026ee8160 in ?? ()
#3 0x00007f303829a6f8 in Abstract_VM_Version::_reserve_for_allocation_prefetch ()
from /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.242.b08-0.el7_7.x86_64/jre/lib/amd64/server/libjvm.so
#4 0x00007fff1187df20 in ?? ()
#5 0x00007f3037d804dd in VM_Version::get_processor_features() ()
from /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.242.b08-0.el7_7.x86_64/jre/lib/amd64/server/libjvm.so
Backtrace stopped: previous frame inner to this frame (corrupt stack?)
(gdb)
Numpy/Python version information:
- Numpy - 1.17.4
- Jnius - 1.2.1
- Python - 3.7.4 / Anaconda 4.7.12
- GCC - 7.3.0
- Linux x86-64 - CentOS 7
Note: It is reproducible on
- Anaconda 4.5.4 / Python 3.6.5 / GCC 7.2.0
- CentOS7's yum python3 package (3.6.8) / GCC 4.8.5
It is not reproducible on MacOS.