[GitHub] BrianHanechak opened a new issue #12628: Version 1.3.0 doesn't work for me on Windows (cu92); 1.3.0b20180915 works fine

[GitBox <gi...@apache.org>]

BrianHanechak opened a new issue #12628: Version 1.3.0 doesn't work for me on Windows (cu92); 1.3.0b20180915 works fine
URL: https://github.com/apache/incubator-mxnet/issues/12628
 
 
   ## Description
   When I install version 1.3.0, the Python process exits whenever I do any GPU operation. 1.3.0b20180915 works fine, however.
   
   ## Environment info (Required)
   
   ----------Python Info----------
   Version      : 3.6.3
   Compiler     : MSC v.1900 64 bit (AMD64)
   Build        : ('v3.6.3:2c5fed8', 'Oct  3 2017 18:11:49')
   Arch         : ('64bit', 'WindowsPE')
   ------------Pip Info-----------
   Version      : 18.0
   Directory    : C:\Users\brianh\AppData\Local\Programs\Python\Python36\lib\site-packages\pip
   ----------MXNet Info-----------
   Version      : 1.3.0
   Directory    : C:\Users\brianh\AppData\Local\Programs\Python\Python36\lib\site-packages\mxnet
   Hashtag not found. Not installed from pre-built package.
   ----------System Info----------
   Platform     : Windows-10-10.0.17134-SP0
   system       : Windows
   node         : WLT006174
   release      : 10
   version      : 10.0.17134
   ----------Hardware Info----------
   machine      : AMD64
   processor    : Intel64 Family 6 Model 45 Stepping 7, GenuineIntel
   Name
   Intel(R) Xeon(R) CPU E5-1650 0 @ 3.20GHz
   
   ----------Network Test----------
   Setting timeout: 10
   Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0160 sec, LOAD: 1.4461 sec.
   Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.1440 sec, LOAD: 0.4679 sec.
   Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.2960 sec, LOAD: 0.4274 sec.
   Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0947 sec, LOAD: 0.6719 sec.
   Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0070 sec, LOAD: 0.2740 sec.
   Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0337 sec, LOAD: 0.0710 sec.
   
   Package used (Python/R/Scala/Julia):
   Python
   
   ## Build info (Required if built from source)
   
   I did not build this from the source. I installed it from pip, using the mxnet-cu92 version.
   
   ## Error Message:
   
   There isn't an error message; the process just seems to exit
   
   ## Minimum reproducible example
   
   import mxnet as mx
   ctx = mx.gpu(0)
   zeros = mx.nd.zeros((5, 5), ctx)
   
   At this point, there's a pause, and then the Python process ends
   
   ## Steps to reproduce
   (Paste the commands you ran that produced the error.)
   
   1. From the command line, start a python process
   2. Type in the lines under "minimum reproducible example"
   
   ## What have you tried to solve it?
   
   1. I've tried downgrading my version of MxNet. Versions from 1.3.0b20180915 and back work fine, but 1.3.0 and the newest betas don't work.
   2. I tried upgrading to Python 3.7 and that didn't help.
   3. Downgrading to 1.3.0b20180915 does work (in both Python 3.6.3 and Python 3.7)
   

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