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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2021/03/23 10:20:46 UTC
[GitHub] [incubator-mxnet] liuzhi136 opened a new issue #20081: libmxnet.so: undefined symbol: sgeqrf_
liuzhi136 opened a new issue #20081:
URL: https://github.com/apache/incubator-mxnet/issues/20081
Platform Infos:
Ubuntu20.04+V100+cuda11
I had successfully installed the cuda environment. Then, I use the pip to install mxnet-cu110(1.8.0).
The error "OSError: /home/lz/anaconda3/envs/ML_gpu/lib/python3.6/site-packages/mxnet/libmxnet.so: undefined symbol: sgeqrf_" is occured when I import mxnet.
I saw some ways to fix this issues, such as 'make clean_all'. However, such way is used to fix this issue when we build mxnet from source.
How can I fix this issue for 'pip install'
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[GitHub] [incubator-mxnet] szha commented on issue #20081: libmxnet.so: undefined symbol: sgeqrf_
Posted by GitBox <gi...@apache.org>.
szha commented on issue #20081:
URL: https://github.com/apache/incubator-mxnet/issues/20081#issuecomment-822102361
@liuzhi136 `sgeqrf_` is a lapack symbol. For linux, we've been statically linking it from openblas (@leezu keep me honest here). So I'd lean towards a "left-over installation hypothesis" as Leo mentioned too. Did you try using it without conda environment?
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[GitHub] [incubator-mxnet] leezu commented on issue #20081: libmxnet.so: undefined symbol: sgeqrf_
Posted by GitBox <gi...@apache.org>.
leezu commented on issue #20081:
URL: https://github.com/apache/incubator-mxnet/issues/20081#issuecomment-804871090
Did you ever try compile mxnet from source before? If so, you probably didn't uninstall it completely
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[GitHub] [incubator-mxnet] liuzhi136 commented on issue #20081: libmxnet.so: undefined symbol: sgeqrf_
Posted by GitBox <gi...@apache.org>.
liuzhi136 commented on issue #20081:
URL: https://github.com/apache/incubator-mxnet/issues/20081#issuecomment-805485680
@leezu No, cuz I never clone the mxnet source code by git completely. It's to slow and always occurs the time out error.
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