beew opened a new issue #18879:
URL: https://github.com/apache/incubator-mxnet/issues/18879
## Description
When trying to create a nd array with the gpu context python appears to hang.
## To Reproduce
just create an array
```
import mxnet as mx
a = mx.nd.ones((2, 3), mx.gpu())
```
then it all stops as if it hangs, python was running in the background but
no output. Without the gpu context the process is immediate
## 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 : 3.7.8
Compiler : GCC 5.4.0 20160609
Build : ('default', 'Jul 28 2020 15:58:46')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
Version : 20.2.1
Directory : /home/bernard/opt/python37/lib/python3.7/site-packages/pip
----------MXNet Info-----------
Version : 1.7.0
Directory : /home/bernard/opt/python37/lib/python3.7/site-packages/mxnet
```
This is all I have since the script apparently takes forever to run, may be
hanging too.
System is Ubuntu Linux
GPU Nvidia GTX 1070
CUDA10.0, libcudnn7.6
cmake 3.17
mxnet build from source as follows
```
source /opt/intel/bin/compilervars.sh intel64
git clone --recursive https://github.com/apache/incubator-mxnet.git
cd incubator-mxnet && git checkout -b v1.7 origin/v1.7.x
git submodule sync
git submodule update --init --recursive
make -j8 USE_OPENCV=1 USE_BLAS=mkl USE_CUDA=1 USE_CUDA_PATH=/usr/local/cuda
USE_CUDNN=0 CUDA_ARCH=-gencode=arch=compute_61,code=sm_61 USE_JEMALLOC=1
```
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