Zha0q1 opened a new issue #19948:
URL: https://github.com/apache/incubator-mxnet/issues/19948


   This issue start to happen after we use the new ami for 
restricted-mxnetlinux-gpu.
   
   
https://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/restricted-mxnet-cd%2Fmxnet-cd-release-job-1.x/detail/mxnet-cd-release-job-1.x/1553/pipeline
   
   I was able to reproduce by basically building the same image as in the cd 
pipeline, using the same g3 instance and the same ami
   ```
   docker build -f docker/Dockerfile.build.ubuntu_gpu_cu102 --build-arg 
USER_ID=1001 --build-arg GROUP_ID=1001 --cache-from 
021742426385.dkr.ecr.us-west-2.amazonaws.com/mxnet-ci:build.ubuntu_gpu_cu102-81dcd5660530
 -t 
021742426385.dkr.ecr.us-west-2.amazonaws.com/mxnet-ci:build.ubuntu_gpu_cu102-81dcd5660530
 docker
   ```
   
   after entering the docker container I did
   ```
   pip3 install mxnet-cu102
   ```
   I was able to reproduce the exact error by running
   ```python
   >>> import mxnet
   >>> import mxnet as mx
   >>> ctx = mx.gpu(0)
   >>> a = mx.nd.ones((100), ctx=ctx)
   ```
   
   ```
   [02:55:03] src/base.cc:49: GPU context requested, but no GPUs found.
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
     File "/usr/local/lib/python3.7/dist-packages/mxnet/ndarray/ndarray.py", 
line 3295, in ones
       return _internal._ones(shape=shape, ctx=ctx, dtype=dtype, **kwargs)
     File "<string>", line 39, in _ones
     File "/usr/local/lib/python3.7/dist-packages/mxnet/_ctypes/ndarray.py", 
line 91, in _imperative_invoke
       ctypes.byref(out_stypes)))
     File "/usr/local/lib/python3.7/dist-packages/mxnet/base.py", line 246, in 
check_call
       raise get_last_ffi_error()
   mxnet.base.MXNetError: Traceback (most recent call last):
     File "src/engine/threaded_engine.cc", line 331
   MXNetError: Check failed: device_count_ > 0 (-1 vs. 0) : GPU usage requires 
at least 1 GPU
   
   ```


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