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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/06/12 17:34:39 UTC

[GitHub] [incubator-mxnet] chandana1332 opened a new issue #15222: MxNet cannot detect GPUs

chandana1332 opened a new issue #15222: MxNet cannot detect GPUs
URL: https://github.com/apache/incubator-mxnet/issues/15222
 
 
   Note: Providing complete information in the most concise form is the best way to get help. This issue template serves as the checklist for essential information to most of the technical issues and bug reports. For non-technical issues and feature requests, feel free to present the information in what you believe is the best form.
   
   For Q & A and discussion, please start a discussion thread at https://discuss.mxnet.io 
   
   ## Description
   Running mx.util.get_gpu_count() gives 0 even though I'm using P3 instances with 4 GPUs.
   
   ## Environment info (Required)
   
   ```
   ----------Python Info----------
   Version      : 3.6.5
   Compiler     : GCC 7.2.0
   Build        : ('default', 'Apr 29 2018 16:14:56')
   Arch         : ('64bit', '')
   ------------Pip Info-----------
   Version      : 10.0.1
   Directory    : /home/ubuntu/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/pip
   ----------MXNet Info-----------
   Version      : 1.5.0
   Directory    : /home/ubuntu/anaconda3/envs/mxnet_p36/lib/python3.6/site-packages/mxnet
   Commit Hash   : 3c82ce2405d806c9a6e3de4d3abc9c0446f87b65
   ----------System Info----------
   Platform     : Linux-4.4.0-1081-aws-x86_64-with-debian-stretch-sid
   system       : Linux
   node         : ip-172-31-50-253
   release      : 4.4.0-1081-aws
   version      : #91-Ubuntu SMP Tue Apr 16 08:21:03 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):                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:                 79
   Model name:            Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz
   Stepping:              1
   CPU MHz:               2700.523
   CPU max MHz:           3000.0000
   CPU min MHz:           1200.0000
   BogoMIPS:              4600.14
   Hypervisor vendor:     Xen
   Virtualization type:   full
   L1d cache:             32K
   L1i cache:             32K
   L2 cache:              256K
   L3 cache:              46080K
   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 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 kaiser 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: 0.0011 sec, LOAD: 0.6328 sec.
   Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0007 sec, LOAD: 0.3939 sec.
   Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.0007 sec, LOAD: 0.3512 sec.
   Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0005 sec, LOAD: 0.5310 sec.
   Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0006 sec, LOAD: 0.0654 sec.
   Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0003 sec, LOAD: 0.0418 sec.
   
   ```
   
   Package used (Python/R/Scala/Julia):
   (I'm using ...)
   
   For Scala user, please provide:
   1. Java version: (`java -version`)
   2. Maven version: (`mvn -version`)
   3. Scala runtime if applicable: (`scala -version`)
   
   For R user, please provide R `sessionInfo()`:
   
   ## Build info (Required if built from source)
   
   Compiler (gcc/clang/mingw/visual studio):
   
   MXNet commit hash:
   (Paste the output of `git rev-parse HEAD` here.)
   
   Build config:
   (Paste the content of config.mk, or the build command.)
   
   ## Error Message:
   (Paste the complete error message, including stack trace.)
   
   ## Minimum reproducible example
   (If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.)
   
   ## Steps to reproduce
   (Paste the commands you ran that produced the error.)
   
   1.
   2.
   
   ## What have you tried to solve it?
   
   1.
   2.
   

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