JustinhoCHN opened a new issue #17923: can not install mxnet on jetson nano, jetpack 4.3, mxnet 1.4 URL: https://github.com/apache/incubator-mxnet/issues/17923 ## Description Try to install mxnet on jetson nano, according to mxnet [jetson_setup guide](http://mxnet.incubator.apache.org/get_started/jetson_setup), during installation, no error raised, but when I import mxnet in python3, "Segmentation fault (core dumped)" ### Error Message ``` root@jetbot:/home/jetbot/Downloads# python3 Python 3.6.9 (default, Nov 7 2019, 10:44:02) [GCC 8.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import mxnet Segmentation fault (core dumped) ``` ## To Reproduce My installation procedure: 1. install dependencies: ``` sudo apt update sudo apt -y install \ build-essential \ git \ graphviz \ libatlas-base-dev \ libopencv-dev \ python-pip sudo pip3 install --upgrade \ pip \ setuptools sudo pip3 install \ graphviz==0.8.4 \ jupyter \ numpy==1.18.2 ``` a little different form official guide, which I use pip3 because I need to use python3, and the numpy version is 1.18.2 rather than 1.15.2 because the later pip install suggested to do so. 2. clone the repo ``` git clone --recursive https://github.com/apache/incubator-mxnet.git mxnet ``` 3. environment ``` export PATH=/usr/local/cuda/bin:$PATH export MXNET_HOME=$HOME/mxnet/ export PYTHONPATH=$MXNET_HOME/python:$PYTHONPATH ``` 4. check cuda version ``` nvcc --version ``` we can get: ``` Copyright (c) 2005-2019 NVIDIA Corporation Built on Mon_Mar_11_22:13:24_CDT_2019 Cuda compilation tools, release 10.0, V10.0.326 ``` 5. download the whl file and libmxnet.so ``` wget -c https://s3.us-east-2.amazonaws.com/mxnet-public/install/jetson/1.4.0/mxnet-1.4.0-cp36-cp36m-linux_aarch64.whl # I'm using python3.6 wget -c https://s3.us-east-2.amazonaws.com/mxnet-public/install/jetson/1.4.1/libmxnet.so mkdir mxnet/lib mv libmxnet.so mxnet/lib # put this file in lib ``` 6. install the whl ``` sudo pip install mxnet-1.4.0-cp27-cp27mu-linux_aarch64.whl ``` 7. try to import ``` root@jetbot:/home/jetbot/Downloads# python3 Python 3.6.9 (default, Nov 7 2019, 10:44:02) [GCC 8.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import mxnet Segmentation fault (core dumped) ``` ## What have you tried to solve it? 1. try build from source, it took me 2 hours and exited with error (sorry I forget to log the error info) 2. reinstall the os, reflash the image, and try the jetson_setup guide again. ## Environment We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below: ``` curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | python ``` outputs here ``` ----------Python Info---------- Version : 3.6.9 Compiler : GCC 8.3.0 Build : ('default', 'Nov 7 2019 10:44:02') Arch : ('64bit', 'ELF') ------------Pip Info----------- Version : 20.0.2 Directory : /usr/local/lib/python3.6/dist-packages/pip ----------MXNet Info----------- Hashtag not found. Not installed from pre-built package. ----------System Info---------- Platform : Linux-4.9.140-tegra-aarch64-with-Ubuntu-18.04-bionic system : Linux node : jetbot release : 4.9.140-tegra version : #1 SMP PREEMPT Mon Dec 9 22:47:42 PST 2019 ----------Hardware Info---------- machine : aarch64 processor : aarch64 Architecture: aarch64 Byte Order: Little Endian CPU(s): 4 On-line CPU(s) list: 0-3 Thread(s) per core: 1 Core(s) per socket: 4 Socket(s): 1 Vendor ID: ARM Model: 1 Model name: Cortex-A57 Stepping: r1p1 CPU max MHz: 1479.0000 CPU min MHz: 102.0000 BogoMIPS: 38.40 L1d cache: 32K L1i cache: 48K L2 cache: 2048K Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0066 sec, LOAD: 1.6708 sec. Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0013 sec, LOAD: 1.3129 sec. Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0048 sec, LOAD: 0.5813 sec. Timing for D2L: http://d2l.ai, DNS: 0.0032 sec, LOAD: 0.3769 sec. Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0027 sec, LOAD: 0.2090 sec. Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0038 sec, LOAD: 0.3148 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0026 sec, LOAD: 4.6375 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0038 sec, LOAD: 3.1302 sec. ``` ### Another info: - image version: jetpack 4.3 - cuda: 10.0 - python: 3.6
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