You can repen the issue, because it is more general and the explanation given
must be different (the specified CPU instruction set does not prevent it from
occuring, but downgrading version to 1.2.0 does).
More info
I keep getting this error ("Illegal instruction (core dumped)") in python, or a
nondescript kernel restart (with a core dump) in Jupyter Notebook for a
different CUDA build (mxnet-cu90 running on nvidia/cuda:9.0-cudnn7-devel
image), while I'm not getting it for the originally reported build
(mxnet-cu80). Downgrading library version from 1.3.0.post0 to 1.2.1 did not
help, but 1.2.0 worked (can be loaded).
There are no NVIDIA drivers installed in my build server's host system (which
indeed prevents some other GPU-enabled libs loading, notably CNTK and
Tensorflow), but CPU does support SSE 4.2 instructions:
```
[root@mx01 ml-gpu-py36-cuda90]# cat /proc/cpuinfo | grep flags
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov
pat pse36 clflush mmx fxsr sse sse2 ss syscall nx pdpe1gb rdtscp lm
constant_tsc arch_perfmon rep_good nopl eagerfpu pni pclmulqdq ssse3 cx16 pcid
sse4_1 **sse4_2** x2apic popcnt tsc_deadline_timer aes xsave avx hypervisor
lahf_lm tsc_adjust xsaveopt
```
[ Full content available at:
https://github.com/apache/incubator-mxnet/issues/11911 ]
This message was relayed via gitbox.apache.org for devnull@infra.apache.org
