Importing numpy from a Docker container running on a virtual machine results in a segfault. GDB trace is similar to #10787 (please see below).
Reproducing code example:
Error message (GDB trace):
Thread 1 "python" received signal SIGSEGV, Segmentation fault.
0x00007fffeddfda92 in npy_cpu_supports ()
from /opt/conda/envs/xxxx/lib/python3.5/site-packages/numpy/core/umath.cpython-35m-x86_64-linux-gnu.so
(gdb) bt
#0 0x00007fffeddfda92 in npy_cpu_supports ()
from /opt/conda/envs/xxxx/lib/python3.5/site-packages/numpy/core/umath.cpython-35m-x86_64-linux-gnu.so
#1 0x00007fffedd18e95 in PyInit_umath ()
from /opt/conda/envs/xxxx/lib/python3.5/site-packages/numpy/core/umath.cpython-35m-x86_64-linux-gnu.so
#2 0x000055555575c064 in _PyImport_LoadDynamicModuleWithSpec ()
#3 0x000055555575c265 in _imp_create_dynamic ()
#4 0x00005555556a4367 in PyCFunction_Call ()
#5 0x00005555557017bc in PyEval_EvalFrameEx ()
#6 0x00005555556ff351 in PyEval_EvalFrameEx ()
#7 0x00005555556fac20 in PyEval_EvalFrameEx ()
#8 0x00005555556fac20 in PyEval_EvalFrameEx ()
#9 0x00005555556fac20 in PyEval_EvalFrameEx ()
#10 0x00005555556fac20 in PyEval_EvalFrameEx ()
#11 0x00005555557052ad in PyEval_EvalCodeEx ()
#12 0x0000555555706b84 in function_call ()
#13 0x000055555565861a in PyObject_Call ()
#14 0x000055555566e502 in _PyObject_CallMethodIdObjArgs ()
#15 0x00005555556ba873 in PyImport_ImportModuleLevelObject ()
#16 0x00005555556ceb4a in builtin___import__ ()
#17 0x00005555556a42d8 in PyCFunction_Call ()
#18 0x00005555557017bc in PyEval_EvalFrameEx ()
Numpy/Python version information:
Numpy version: 1.15.2
Python: 3.5.6 |Anaconda, Inc.| [GCC 7.3.0]
CPU: GenuineIntel Intel(R) Xeon(R) CPU E5-2660 v3
Importing numpy from a Docker container running on a virtual machine results in a segfault. GDB trace is similar to #10787 (please see below).
Reproducing code example:
Error message (GDB trace):
Numpy/Python version information:
Numpy version: 1.15.2
Python: 3.5.6 |Anaconda, Inc.| [GCC 7.3.0]
CPU: GenuineIntel Intel(R) Xeon(R) CPU E5-2660 v3