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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/03/27 07:43:17 UTC
[GitHub] [incubator-mxnet] JustinhoCHN opened a new issue #17923: can not
install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
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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[GitHub] [incubator-mxnet] JustinhoCHN closed issue #17923: can not install
mxnet on jetson nano, jetpack 4.3, mxnet 1.4
Posted by GitBox <gi...@apache.org>.
JustinhoCHN closed issue #17923: can not install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
URL: https://github.com/apache/incubator-mxnet/issues/17923
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[GitHub] [incubator-mxnet] JustinhoCHN commented on issue #17923: can not
install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
Posted by GitBox <gi...@apache.org>.
JustinhoCHN commented on issue #17923: can not install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
URL: https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-606444051
Guys, I solve that problem, from nvidia jetson forums advice:
1. Download the mxnet-1.6 whl for jetson: [link](https://drive.google.com/file/d/1acFgoFaw9arP1I6VZFR3Jjsm6TNkpR0v/view?usp=drive_open)
2.
```
sudo pip3 install numpy==1.16
sudo pip3 install mxnet-1.6.0-py3-none-any.whl
```
3. switch to sudo account! that’s import for me:
```
sudo su
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/mxnet
```
```
root@jetbot:/home/jetbot# 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 as mx
>>> mx.__version__
'1.6.0'
```
If I use python3 under jetbot account, will thorw segmentation fault error, seems I forgot change to sudo.
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[GitHub] [incubator-mxnet] JustinhoCHN commented on issue #17923: can not
install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
Posted by GitBox <gi...@apache.org>.
JustinhoCHN commented on issue #17923: can not install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
URL: https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-605770728
2020.03.30 update:
I followed the docker cross-compille method, but failed, error log:
```
aarch64-unknown-linux-gnueabi-g++: internal compiler error: Killed (program cc1plus)
0x55a661ee7e24 execute
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:2854
0x55a661ee8174 do_spec_1
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:4658
0x55a661eeabc3 process_brace_body
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5941
0x55a661eeabc3 handle_braces
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5855
0x55a661ee88c9 do_spec_1
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5312
0x55a661eeabc3 process_brace_body
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5941
0x55a661eeabc3 handle_braces
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5855
0x55a661ee88c9 do_spec_1
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5312
0x55a661ee870b do_spec_1
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5427
0x55a661eeabc3 process_brace_body
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5941
0x55a661eeabc3 handle_braces
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5855
0x55a661ee88c9 do_spec_1
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5312
0x55a661eeabc3 process_brace_body
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5941
0x55a661eeabc3 handle_braces
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5855
0x55a661ee88c9 do_spec_1
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5312
0x55a661eeabc3 process_brace_body
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5941
0x55a661eeabc3 handle_braces
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5855
0x55a661ee88c9 do_spec_1
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5312
0x55a661eeabc3 process_brace_body
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5941
0x55a661eeabc3 handle_braces
/dockcross/crosstool/toolchain/.build/src/gcc-4.9.4/gcc/gcc.c:5855
Please submit a full bug report,
with preprocessed source if appropriate.
Please include the complete backtrace with any bug report.
See <http://gcc.gnu.org/bugs.html> for instructions.
make: *** [build/src/operator/numpy/np_percentile_op.o] Error 4
make: *** Waiting for unfinished jobs....
Makefile:569: recipe for target 'build/src/operator/numpy/np_percentile_op.o' failed
2020-03-30 11:15:50,474 - root - INFO - Waiting for status of container 7ee922ca33a2 for 600 s.
2020-03-30 11:15:50,659 - root - INFO - Container exit status: {'Error': None, 'StatusCode': 2}
2020-03-30 11:15:50,659 - root - ERROR - Container exited with an error
2020-03-30 11:15:50,659 - root - INFO - Executed command for reproduction:
ci/build.py -p jetson
2020-03-30 11:15:50,659 - root - INFO - Stopping container: 7ee922ca33a2
2020-03-30 11:15:50,660 - root - INFO - Removing container: 7ee922ca33a2
2020-03-30 11:15:50,723 - root - INFO - Other running containers: ['e9ad8fc19642', '6acad0d82e1c', '5132086269ff', 'a6249b881f24', 'f0ad24aeb876', '6bb047a698b7', '9e6f0d904a4b', '241f1bc44984', '19ff0cea2fa5', '868864fd7dd7']
2020-03-30 11:15:50,723 - root - CRITICAL - Execution of ['/work/mxnet/ci/docker/runtime_functions.sh', 'build_jetson'] failed with status: 2
```
platform: x86 pc, i7-9700, rtx 2080ti
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[GitHub] [incubator-mxnet] bhavitvyamalik edited a comment on issue #17923: can not install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
Posted by GitBox <gi...@apache.org>.
bhavitvyamalik edited a comment on issue #17923:
URL: https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628549077
@JustinhoCHN what was the CUDA version of your Jetson Nano image? It gives me the following error:
```
>>> import mxnet
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python3.6/dist-packages/mxnet/__init__.py", line 24, in <module>
from .context import Context, current_context, cpu, gpu, cpu_pinned
File "/usr/local/lib/python3.6/dist-packages/mxnet/context.py", line 24, in <module>
from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass
File "/usr/local/lib/python3.6/dist-packages/mxnet/base.py", line 214, in <module>
_LIB = _load_lib()
File "/usr/local/lib/python3.6/dist-packages/mxnet/base.py", line 205, in _load_lib
lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL)
File "/usr/lib/python3.6/ctypes/__init__.py", line 348, in __init__
self._handle = _dlopen(self._name, mode)
OSError: libcudart.so.10.0: cannot open shared object file: No such file or directory
```
My Jetson Nano image has CUDA 10.2
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[GitHub] [incubator-mxnet] bhavitvyamalik edited a comment on issue #17923: can not install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
Posted by GitBox <gi...@apache.org>.
bhavitvyamalik edited a comment on issue #17923:
URL: https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628629929
Do you still have the image which you used on your Jetson Nano? Nvidia keeps on updating their images regularly and I ended up with CUDA 10.2 :/
Edit: This works?
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[GitHub] [incubator-mxnet] JustinhoCHN commented on issue #17923: can not install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
Posted by GitBox <gi...@apache.org>.
JustinhoCHN commented on issue #17923:
URL: https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-632580832
> Do you still have the image which you used on your Jetson Nano? Nvidia keeps on updating their images regularly and I ended up with CUDA 10.2 :/
>
> Edit: This works?
> 
I changed the os to jetpack 4.4 DP, same issue as yours, I try to install cuda 10.0 in jetpack 4.4, but when I import mxnet, it'll just quit with "segmentation fault". I'm working on compile the cuda 10.2 python whl for jetson. I'll let you know if I make it.
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[GitHub] [incubator-mxnet] bhavitvyamalik commented on issue #17923: can not install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
Posted by GitBox <gi...@apache.org>.
bhavitvyamalik commented on issue #17923:
URL: https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628629929
Do you still have the image which you used on your Jetson Nano? Nvidia keeps on updating their images regularly and I ended up with CUDA 10.2 :/
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[GitHub] [incubator-mxnet] bhavitvyamalik commented on issue #17923: can not install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
Posted by GitBox <gi...@apache.org>.
bhavitvyamalik commented on issue #17923:
URL: https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628549077
@JustinhoCHN what was the CUDA version of your Jetson Nano image?
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[GitHub] [incubator-mxnet] JustinhoCHN commented on issue #17923: can not install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
Posted by GitBox <gi...@apache.org>.
JustinhoCHN commented on issue #17923:
URL: https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628621084
> @JustinhoCHN what was the CUDA version of your Jetson Nano image? It gives me the following error:
>
> ```
> >>> import mxnet
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/usr/local/lib/python3.6/dist-packages/mxnet/__init__.py", line 24, in <module>
> from .context import Context, current_context, cpu, gpu, cpu_pinned
> File "/usr/local/lib/python3.6/dist-packages/mxnet/context.py", line 24, in <module>
> from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass
> File "/usr/local/lib/python3.6/dist-packages/mxnet/base.py", line 214, in <module>
> _LIB = _load_lib()
> File "/usr/local/lib/python3.6/dist-packages/mxnet/base.py", line 205, in _load_lib
> lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL)
> File "/usr/lib/python3.6/ctypes/__init__.py", line 348, in __init__
> self._handle = _dlopen(self._name, mode)
> OSError: libcudart.so.10.0: cannot open shared object file: No such file or directory
> ```
>
> My Jetson Nano image has CUDA 10.2
mine is cuda 10.0, jetpack 4.3
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[GitHub] [incubator-mxnet] JustinhoCHN commented on issue #17923: can not install mxnet on jetson nano, jetpack 4.3, mxnet 1.4
Posted by GitBox <gi...@apache.org>.
JustinhoCHN commented on issue #17923:
URL: https://github.com/apache/incubator-mxnet/issues/17923#issuecomment-628964002
> Do you still have the image which you used on your Jetson Nano? Nvidia keeps on updating their images regularly and I ended up with CUDA 10.2 :/
>
> Edit: This works?
> 
yes it is
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