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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/01/13 20:36:47 UTC
[GitHub] [incubator-mxnet] apeforest opened a new issue #17181: Fail to
build mxnet from source
apeforest opened a new issue #17181: Fail to build mxnet from source
URL: https://github.com/apache/incubator-mxnet/issues/17181
## Description
Following the steps at https://mxnet.apache.org/get_started/ubuntu_setup
I got the following error:
### Error Message
```
OSError: /usr/lib/liblapack.so.3: undefined symbol: gotoblas
```
## To Reproduce
```
rm -rf build
mkdir -p build && cd build
cmake -GNinja \
-DUSE_CUDA=OFF \
-DUSE_MKL_IF_AVAILABLE=ON \
-DCMAKE_CUDA_COMPILER_LAUNCHER=ccache \
-DCMAKE_C_COMPILER_LAUNCHER=ccache \
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
-DCMAKE_BUILD_TYPE=Release \
..
ninja
```
then
```
python -c "import mxnet"
```
## Environment
We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below:
```
----------Python Info----------
Version : 3.6.6
Compiler : GCC 7.2.0
Build : ('default', 'Jun 28 2018 17:14:51')
Arch : ('64bit', '')
------------Pip Info-----------
Version : 19.3.1
Directory : /home/ubuntu/.virtualenvs/mxnet/lib/python3.6/site-packages/pip
----------MXNet Info-----------
Hashtag not found. Not installed from pre-built package.
----------System Info----------
Platform : Linux-4.4.0-1094-aws-x86_64-with-debian-stretch-sid
system : Linux
node : ip-172-31-15-220
release : 4.4.0-1094-aws
version : #105-Ubuntu SMP Mon Sep 16 13:08:01 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
CPU(s): 32
On-line CPU(s) list: 0-31
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 79
Model name: Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz
Stepping: 1
CPU MHz: 2699.984
CPU max MHz: 3000.0000
CPU min MHz: 1200.0000
BogoMIPS: 4600.09
Hypervisor vendor: Xen
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 46080K
NUMA node0 CPU(s): 0-31
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single pti fsgsbase bmi1 hle avx2 smep bmi2 erms invpcid rtm rdseed adx xsaveopt
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0131 sec, LOAD: 0.4585 sec.
Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0005 sec, LOAD: 0.4164 sec.
Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.2340 sec, LOAD: 0.3821 sec.
Timing for D2L: http://d2l.ai, DNS: 0.1774 sec, LOAD: 0.1042 sec.
Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0059 sec, LOAD: 0.2229 sec.
Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0982 sec, LOAD: 0.1264 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0173 sec, LOAD: 0.3984 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0106 sec, LOAD: 0.0637 sec.
```
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