woreom opened a new issue #18471: URL: https://github.com/apache/incubator-mxnet/issues/18471
## Description So I'm following the tutorial on : https://mxnet.apache.org/get_started/?platform=devices&iot=raspberry-pi&; I'm trying to use opencv and mxnet together for my project. I tried the prebuild whl but it uses numpy 1.12.4 or something but the opencv needs 1.16.2 or higher. ### Error Message I tried to install with docker I get the error ModuleNotFoundError: No module named 'docker.errors' which is probably because i'm doing something wrong this is not my issue. But my problem is with the native build, when I cmake I get the error " -- Configuring incomplete, errors occurred!" and here is CMakeError > Performing C++ SOURCE FILE Test COMPILER_SUPPORT_MF16C failed with the followin$ > Change Dir: /mnt/USB/.mxnet/mxnet/build/CMakeFiles/CMakeTmp > Run Build Command:"/usr/bin/ninja" "cmTC_ff7d6" > [1/2] Building CXX object CMakeFiles/cmTC_ff7d6.dir/src.cxx.o > FAILED:` CMakeFiles/cmTC_ff7d6.dir/src.cxx.o > /usr/bin/c++ -Wall -Wno-sign-compare -O3 -fopenmp -DCOMPILER_SUPPORT_MF16C -$ > c++: error: unrecognized command line option '-mf16c' > ninja: build stopped: subcommand failed. > > Source file was: > int main() { return 0; } ## What have you tried to solve it? 1. I've tried other versions of mxnet but I get the same errors 2. ## 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 # paste outputs here ```----------Python Info---------- Version : 3.7.3 Compiler : GCC 8.3.0 Build : ('default', 'Dec 20 2019 18:57:59') Arch : ('32bit', 'ELF') ------------Pip Info----------- Version : 20.1.1 Directory : /home/pi/.virtualenvs/py3/lib/python3.7/site-packages/pip ----------MXNet Info----------- No MXNet installed. ----------System Info---------- Platform : Linux-4.19.118-v7l+-armv7l-with-debian-10.4 system : Linux node : raspberrypi release : 4.19.118-v7l+ version : #1311 SMP Mon Apr 27 14:26:42 BST 2020 ----------Hardware Info---------- machine : armv7l processor : Architecture: armv7l 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: 3 Model name: Cortex-A72 Stepping: r0p3 CPU max MHz: 1500.0000 CPU min MHz: 600.0000 BogoMIPS: 270.00 Flags: half thumb fastmult vfp edsp neon vfpv3 tls vfpv4 idiva idivt vfpd32 lpae evtstrm crc32 ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0555 sec, LOAD: 0.7637 sec. Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0555 sec, LOAD: 0.8774 sec. Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0550 sec, LOAD: 5.9179 sec. Timing for D2L: http://d2l.ai, DNS: 0.0552 sec, LOAD: 0.2132 sec. Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0569 sec, LOAD: 0.3506 sec. Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0611 sec, LOAD: 0.7249 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0635 sec, LOAD: 2.4053 sec. Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.06275081634521484 sec. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
