ishaybas opened a new issue #17205: MXNetCAPI.so: undefined symbol: MXListAllOpNames URL: https://github.com/apache/incubator-mxnet/issues/17205 ## Description Trying to build MXNet for the first time (for me), and then building the PERL binding. All went fine with no errors, but when I try to load MXNet from PERL an error is received. Maybe I am just missing something small in my configuration.. ### Error Message perl: symbol lookup error: /home/ishay/perl5/lib/perl5/x86_64-linux-gnu-thread-multi/auto/AI/MXNetCAPI/MXNetCAPI.so: undefined symbol: MXListAllOpNames ## To Reproduce (If you developed your own code, please provide a short script that reproduces the error. For existing examples, please provide link.) ### Steps to reproduce (Paste the commands you ran that produced the error.) Following the installation instructions from https://mxnet.apache.org/get_started/ubuntu_setup.html 1. For Ubuntu 18.04 and CUDA builds you need to update CMake #!/usr/bin/env bash set -exuo pipefail sudo apt remove --purge --auto-remove cmake # Update CMAKE for correct cuda autotedetection: https://github.com/clab/dynet/issues/1457 version=3.14 build=0 mkdir -p ~/tmp cd ~/tmp wget https://cmake.org/files/v$version/cmake-$version.$build.tar.gz tar -xzvf cmake-$version.$build.tar.gz cd cmake-$version.$build/ ./bootstrap make -j$(nproc) sudo make install 2. Build with CMake and ninja, without GPU and without MKL. rm -rf build mkdir -p build && cd build cmake -GNinja \ -DUSE_CUDA=OFF \ -DUSE_MKL_IF_AVAILABLE=OFF \ -DCMAKE_CUDA_COMPILER_LAUNCHER=ccache \ -DCMAKE_C_COMPILER_LAUNCHER=ccache \ -DCMAKE_CXX_COMPILER_LAUNCHER=ccache \ -DCMAKE_BUILD_TYPE=Release \ .. ninja 3. Build MXNet package for Perl: sudo apt-get install libmouse-perl pdl cpanminus swig libgraphviz-perl cpanm -q -L "${HOME}/perl5" Function::Parameters Hash::Ordered PDL::CCS MXNET_HOME=${PWD} export LD_LIBRARY_PATH=${MXNET_HOME}/lib export PERL5LIB=${HOME}/perl5/lib/perl5 cd ${MXNET_HOME}/perl-package/AI-MXNetCAPI/ perl Makefile.PL INSTALL_BASE=${HOME}/perl5 make install cd ${MXNET_HOME}/perl-package/AI-NNVMCAPI/ perl Makefile.PL INSTALL_BASE=${HOME}/perl5 make install cd ${MXNET_HOME}/perl-package/AI-MXNet/ perl Makefile.PL INSTALL_BASE=${HOME}/perl5 make install 4. Try to load the library in Perl: perl -e 'use AI::MXNet;' ## What have you tried to solve it? Google :) ## 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 :', '2.7.16') ('Compiler :', 'GCC 8.3.0') ('Build :', ('default', 'Oct 7 2019 17:36:04')) ('Arch :', ('64bit', '')) ------------Pip Info----------- ('Version :', '19.3.1') ('Directory :', '/usr/local/lib/python2.7/dist-packages/pip') ----------MXNet Info----------- No MXNet installed. ----------System Info---------- ('Platform :', 'Linux-5.0.0-37-generic-x86_64-with-Ubuntu-19.04-disco') ('system :', 'Linux') ('node :', 'WickedAlien') ('release :', '5.0.0-37-generic') ('version :', '#40-Ubuntu SMP Thu Nov 14 00:14:01 UTC 2019') ----------Hardware Info---------- ('machine :', 'x86_64') ('processor :', 'x86_64') Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian Address sizes: 39 bits physical, 48 bits virtual CPU(s): 8 On-line CPU(s) list: 0-7 Thread(s) per core: 2 Core(s) per socket: 4 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 158 Model name: Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz Stepping: 9 CPU MHz: 2151.545 CPU max MHz: 3800,0000 CPU min MHz: 800,0000 BogoMIPS: 5616.00 Virtualization: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 6144K NUMA node0 CPU(s): 0-7 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb invpcid_single pti ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp md_clear flush_l1d ----------Network Test---------- Setting timeout: 10 Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0252 sec, LOAD: 0.6547 sec. Timing for D2L: http://d2l.ai, DNS: 0.0399 sec, LOAD: 1.2067 sec. Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.5681 sec, LOAD: 1.0314 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.5051 sec, LOAD: 1.0256 sec. Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0170 sec, LOAD: 0.8957 sec. Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0427 sec, LOAD: 0.6606 sec. Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0424 sec, LOAD: 0.2638 sec. Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0015 sec, LOAD: 1.3067 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] With regards, Apache Git Services
