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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/03/23 21:06:54 UTC
[GitHub] msurguy opened a new issue #10230: libomp.so is missing in Docker builds for armv6
msurguy opened a new issue #10230: libomp.so is missing in Docker builds for armv6
URL: https://github.com/apache/incubator-mxnet/issues/10230
## Description
After compiling and deploying MXNet to Raspberry Pi Zero using the new Docker builds, the `libomp.so` error prevents import of MXNet Python library.
More info about how the docker container output was installed is in https://github.com/apache/incubator-mxnet/commit/85215b6176ef3612d198f590268a6595b86565fb
## Environment info (Required)
```
----------Python Info----------
Version : 3.4.2
Compiler : GCC 4.9.1
Build : ('default', 'Oct 19 2014 13:31:11')
Arch : ('32bit', 'ELF')
------------Pip Info-----------
No corresponding pip install for current python.
----------MXNet Info-----------
Hashtag not found. Not installed from pre-built package.
----------System Info----------
Platform : Linux-4.9.35+-armv6l-with-debian-8.0
system : Linux
node : raspberrypi
release : 4.9.35+
version : #1014 Fri Jun 30 14:34:49 BST 2017
----------Hardware Info----------
machine : armv6l
processor :
Architecture: armv6l
Byte Order: Little Endian
CPU(s): 1
On-line CPU(s) list: 0
Thread(s) per core: 1
Core(s) per socket: 1
Socket(s): 1
Model name: ARMv6-compatible processor rev 7 (v6l)
CPU max MHz: 1000.0000
CPU min MHz: 700.0000
----------Network Test----------
Setting timeout: 10
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0275 sec, LOAD: 0.3049 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0254 sec, LOAD: 0.2241 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0589 sec, LOAD: 0.2240 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.1296 sec, LOAD: 0.1997 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 1.1327 sec, LOAD: 0.3586 sec.
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0214 sec, LOAD: 0.6467 sec
```
Package used (Python/R/Scala/Julia):
Python 3
## Build info (Required if built from source)
Built using Docker containers: https://github.com/apache/incubator-mxnet/tree/master/ci
## Error Message:
```shell
$ python3
Python 3.4.2 (default, Oct 19 2014, 13:31:11)
[GCC 4.9.1] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import mxnet as mx
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/pi/.local/lib/python3.4/site-packages/mxnet/__init__.py", line 25, in <module>
from . import engine
File "/home/pi/.local/lib/python3.4/site-packages/mxnet/engine.py", line 23, in <module>
from .base import _LIB, check_call
File "/home/pi/.local/lib/python3.4/site-packages/mxnet/base.py", line 113, in <module>
_LIB = _load_lib()
File "/home/pi/.local/lib/python3.4/site-packages/mxnet/base.py", line 105, in _load_lib
lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL)
File "/usr/lib/python3.4/ctypes/__init__.py", line 351, in __init__
self._handle = _dlopen(self._name, mode)
OSError: libomp.so: cannot open shared object file: No such file or directory
>>> exit()
```
## Minimum reproducible example
```
python3
import mxnet as mx
```
## What have you tried to solve it?
1. tried installing `libomp` - not successfully (perhaps doesn't exist for ARMv6
2. tried installing `libcomplearn-gomp-dev` - not successfully
cc @larroy
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