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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/05/21 17:29:31 UTC

[GitHub] [incubator-mxnet] stu1130 edited a comment on issue #15017: Issue in using nd.ones((3, 4), ctx=gpu()) , CUDA 10.1

stu1130 edited a comment on issue #15017: Issue in using nd.ones((3, 4), ctx=gpu()) , CUDA 10.1
URL: https://github.com/apache/incubator-mxnet/issues/15017#issuecomment-494484438
 
 
   @kaivu1999 
   I am using Deep Learning base ami ubuntu 16.04, mxnet-cu101(1.4.1), Driver Version: 418.39. I can't reproduce your issue.
   ```
   nvcc -V
   nvcc: NVIDIA (R) Cuda compiler driver
   Copyright (c) 2005-2019 NVIDIA Corporation
   Built on Fri_Feb__8_19:08:17_PST_2019
   Cuda compilation tools, release 10.1, V10.1.105
   ```
   ```
   >>> import mxnet as mx
   >>> mx.nd.ones((3,4), ctx=mx.gpu())
   
   [[1. 1. 1. 1.]
    [1. 1. 1. 1.]
    [1. 1. 1. 1.]]
   <NDArray 3x4 @gpu(0)>
   ```
   

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