## 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
[ Full content available at:
https://github.com/apache/incubator-mxnet/issues/12562 ]
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