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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/09/14 06:34:20 UTC

[GitHub] Ian8888 opened a new issue #12562: installed MXNet problem for win10

Ian8888 opened a new issue #12562: installed MXNet problem for win10
URL: https://github.com/apache/incubator-mxnet/issues/12562
 
 
   
   ## Description
   I installed the Mxnet GPU version but it's not working. 
   
   >>> import mxnet as mx
   >>> a = mx.nd.ones((2, 3), mx.gpu())
   [14:12:03] c:\jenkins\workspace\mxnet-tag\mxnet\src\imperative\./imperative_utils.h:76: GPU support is disabled. Compile MXNet with USE_CUDA=1 to enable GPU support.
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
     File "C:\Users\AAA\Anaconda3\lib\site-packages\mxnet\ndarray\ndarray.py", line 2271, in ones
       return _internal._ones(shape=shape, ctx=ctx, dtype=dtype, **kwargs)
     File "<string>", line 34, in _ones
     File "C:\Users\AAA\Anaconda3\lib\site-packages\mxnet\_ctypes\ndarray.py", line 92, in _imperative_invoke
       ctypes.byref(out_stypes)))
     File "C:\Users\AAA\Anaconda3\lib\site-packages\mxnet\base.py", line 149, in check_call
       raise MXNetError(py_str(_LIB.MXGetLastError()))
   mxnet.base.MXNetError: [14:12:03] C:\Jenkins\workspace\mxnet-tag\mxnet\src\imperative\imperative.cc:78: Operator _ones is not implemented for GPU.
   
   
   ## Environment info (Required)
   Anaconda -> Python 3.6 version
   
   Name: mxnet-cu92
   Version: 1.2.1
   Summary: MXNet is an ultra-scalable deep learning framework. This version uses CUDA-9.2.
   Home-page: https://github.com/apache/incubator-mxnet
   License: Apache 2.0
   
   nvcc: NVIDIA (R) Cuda compiler driver
   Copyright (c) 2005-2018 NVIDIA Corporation
   Built on Tue_Jun_12_23:08:12_Central_Daylight_Time_2018
   Cuda compilation tools, release 9.2, V9.2.148
   

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