title: Cuda Runtime Error cudaErrorNoDevice: no CUDA-capable device is detected
body: <p>I am using Chainer, Cupy for <strong>CUDA 8.0</strong> .
  I am trying to train machine learning model using <strong>python3.5</strong> script, but I got this error: </p>
  
  <pre><code>cupy.cuda.runtime.CUDARuntimeError: cudaErrorNoDevice: no CUDA-capable 
  </code></pre>
  
  <p><strong>What can I do to solve it?</strong></p>
  
  <p>Environment Details for machine on which I tried to train my Deep learning model which gives details about nvidi-smi, echo CUDA_PATH, echo LD_LIBRARY_PATH: </p>
  
  <pre><code>root@awsml04:~# nvidia-smi
  Thu Mar 21 10:37:19 2019
  +-----------------------------------------------------------------------------+
  | NVIDIA-SMI 384.130                Driver Version: 384.130                   |
  |-------------------------------+----------------------+----------------------+
  | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
  | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
  |===============================+======================+======================|
  |   0  Tesla V100-SXM2...  On   | 00000000:00:1E.0 Off |                    0 |
  | N/A   38C    P0    24W / 300W |      0MiB / 16152MiB |      0%      Default |
  +-------------------------------+----------------------+----------------------+
  
  +-----------------------------------------------------------------------------+
  | Processes:                                                       GPU Memory |
  |  GPU       PID   Type   Process name                             Usage      |
  |=============================================================================|
  |  No running processes found                                                 |
  +-----------------------------------------------------------------------------+
  </code></pre>
  
  <p>Check CUDA PATH</p>
  
  <pre><code>root@awsml04:~# echo $CUDA_PATH
  /usr/local/cuda/bin:/usr/local/cuda-9.0
  </code></pre>
  
  <p>Check LD_LIBRARY_PATH:</p>
  
  <pre><code>root@awsml04:~# echo $LD_LIBRARY_PATH
  /usr/local/cuda/lib64{LD_LIBRARY_PATH:+:/usr/local/cuda-9.0/lib64:/usr/local/cuda/lib64{LD_LIBRARY_PATH:+:/usr/lib64/openmpi/lib/:/usr/local/cuda/lib64:/usr/local/lib:/usr/lib:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/mpi/lib:/lib/:}}
  
  </code></pre>
  
  <p>check env | grep CUDA Path:</p>
  
  <pre><code>root@awsml04:~# env | grep CUDA
  CUDA_PATH=/usr/local/cuda/bin:
  LD_LIBRARY_PATH_WITH_DEFAULT_CUDA=/usr/lib64/openmpi/lib/:/usr/local/cuda/lib64:/usr/local/lib:/usr/lib:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/mpi/lib:/lib/:/usr/local/cuda-9.0/lib/:
  LD_LIBRARY_PATH_WITHOUT_CUDA=/usr/lib64/openmpi/lib/:/usr/local/lib:/usr/lib:/usr/local/mpi/lib:/lib/:
  </code></pre>
  
  <p>Check python3 path</p>
  
  <pre><code>root@awsml04:~# which python3
  /usr/bin/python3
  </code></pre>
  
  <p>Check pip path</p>
  
  <pre><code>root@awsml04:~# which pip3
  /usr/bin/pip3
  </code></pre>
  
  <p>check installed python libraries with version details: </p>
  
  <pre><code>root@awsml04:~# pip3 freeze
  absl-py==0.7.1
  alabaster==0.7.12
  alembic==1.0.8
  appdirs==1.4.3
  APScheduler==3.5.3
  astor==0.7.1
  astroid==2.1.0
  awscli==1.16.76
  Babel==2.6.0
  backcall==0.1.0
  beautifulsoup4==4.4.1
  bleach==1.5.0
  blinker==1.3
  bokeh==1.0.3
  boto==2.49.0
  boto3==1.9.72
  botocore==1.12.72
  certifi==2018.11.29
  chainer==5.3.0
  chainerui==0.3.0
  chardet==3.0.4
  Click==7.0
  cloud-init==18.5
  cloudpickle==0.6.1
  colorama==0.3.9
  command-not-found==0.3
  configobj==5.0.6
  cpplint==1.3.0
  cryptography==1.2.3
  cycler==0.10.0
  dask==1.0.0
  decorator==4.3.0
  defer==1.0.6
  defusedxml==0.5.0
  docutils==0.14
  easydict==1.9
  entrypoints==0.2.3
  enum34==1.1.6
  environment-kernels==1.1.1
  fastrlock==0.4
  filelock==2.0.13
  Flask==1.0.2
  future==0.17.1
  gast==0.2.2
  glog==0.3.1
  graphviz==0.10.1
  grpcio==1.19.0
  h5py==2.7.1
  hibagent==1.0.1
  html5lib==0.9999999
  idna==2.8
  imagesize==1.1.0
  ipykernel==5.1.0
  ipyparallel==6.2.3
  ipython==7.2.0
  ipython-genutils==0.2.0
  ipywidgets==7.4.2
  isort==4.3.4
  itsdangerous==1.1.0
  jedi==0.13.2
  Jinja2==2.10
  jmespath==0.9.3
  jsonpatch==1.10
  jsonpointer==1.9
  jsonschema==2.6.0
  jupyter==1.0.0
  jupyter-client==5.2.4
  jupyter-console==6.0.0
  jupyter-core==4.4.0
  Keras==2.2.4
  Keras-Applications==1.0.7
  Keras-Preprocessing==1.0.9
  kiwisolver==1.0.1
  language-selector==0.1
  lazy-object-proxy==1.3.1
  lxml==3.5.0
  Mako==1.0.7
  Markdown==2.6.10
  MarkupSafe==1.1.0
  matplotlib==3.0.2
  mccabe==0.6.1
  mistune==0.8.4
  mock==2.0.0
  msgpack==0.6.1
  nbconvert==5.4.0
  nbformat==4.4.0
  networkx==2.2
  nose==1.3.7
  notebook==5.7.4
  numpy==1.15.1
  oauthlib==1.0.3
  olefile==0.44
  opencv-python==3.4.1.15
  packaging==18.0
  pandas==0.23.4
  pandocfilters==1.4.2
  parso==0.3.1
  pbr==5.1.3
  pexpect==4.6.0
  pickleshare==0.7.5
  Pillow==4.3.0
  prettytable==0.7.2
  prometheus-client==0.5.0
  prompt-toolkit==2.0.7
  protobuf==3.7.0
  ptyprocess==0.6.0
  pyasn1==0.4.5
  pycups==1.9.73
  pycurl==7.43.0
  pydot==1.4.1
  pygal==2.4.0
  Pygments==2.3.1
  pygobject==3.20.0
  PyJWT==1.3.0
  pylint==2.2.2
  pyparsing==2.2.0
  pyserial==3.0.1
  python-apt==1.1.0b1+ubuntu0.16.4.2
  python-dateutil==2.6.1
  python-debian==0.1.27
  python-editor==1.0.4
  python-gflags==3.1.2
  python-systemd==231
  pytz==2017.3
  PyWavelets==1.0.1
  pyxdg==0.25
  PyYAML==3.13
  pyzmq==17.1.2
  qtconsole==4.4.3
  requests==2.21.0
  roman==2.0.0
  rsa==3.4.2
  s3transfer==0.1.13
  scikit-image==0.14.1
  scikit-learn==0.20.2
  scipy==1.2.0
  screen-resolution-extra==0.0.0
  seaborn==0.9.0
  Send2Trash==1.5.0
  six==1.12.0
  snowballstemmer==1.2.1
  Sphinx==1.8.3
  sphinx-rtd-theme==0.1.9
  sphinxcontrib-websupport==1.1.0
  SQLAlchemy==1.3.1
  ssh-import-id==5.5
  system-service==0.3
  tensorboard==1.12.2
  tensorflow==1.12.0
  tensorflow-estimator==1.13.0
  tensorflow-gpu==1.12.0
  tensorflow-tensorboard==0.4.0rc3
  termcolor==1.1.0
  terminado==0.8.1
  testpath==0.4.2
  toolz==0.9.0
  tornado==5.1.1
  tqdm==4.19.5
  traitlets==4.3.2
  typed-ast==1.1.1
  tzlocal==1.5.1
  ufw==0.35
  unattended-upgrades==0.1
  urllib3==1.24.1
  virtualenv==15.0.1
  wcwidth==0.1.7
  webencodings==0.5.1
  Werkzeug==0.13
  widgetsnbextension==3.4.2
  wrapt==1.10.11
  xkit==0.0.0
  </code></pre>
  
  <p>chainer CUDA information:</p>
  
  <pre><code>root@awsml04:~#  python3 -c "import chainer; print(chainer.print_runtime_info())"
  /usr/lib/python3.5/site-packages/chainer/backends/cuda.py:98: UserWarning: cuDNN is not enabled.
  Please reinstall CuPy after you install cudnn
  (see https://docs-cupy.chainer.org/en/stable/install.html#install-cudnn).
    'cuDNN is not enabled.\n'
  /usr/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
    from ._conv import register_converters as _register_converters
  Platform: Linux-4.4.0-1077-aws-x86_64-with-Ubuntu-16.04-xenial
  Chainer: 5.3.0
  NumPy: 1.15.1
  CuPy:
    CuPy Version          : 5.3.0
    CUDA Root             : /usr/local/cuda/bin:/usr/local/cuda-9.0
    CUDA Build Version    : 9000
    CUDA Driver Version   : 9000
    CUDA Runtime Version  : 9000
    cuDNN Build Version   : None
    cuDNN Version         : None
    NCCL Build Version    : 2307
    NCCL Runtime Version  : 2307
  iDeep: Not Available
  None
  
  root@awsml04:~# python3 -c "import cupy; print(cupy.empty((3, 3)))"
  [[0. 0. 0.]
   [0. 0. 0.]
   [0. 0. 0.]]
  
  
  </code></pre>
  
  <p>Full error traceback:</p>
  
  <pre><code>stacktrace.py
  Exception in main training loop: cudaErrorNoDevice: no CUDA-capable
  device is detected Traceback (most recent call last):
    File "/root/.see-master/lib/python3.5/site-packages/chainer/training/trainer.py", line 302, in run
      entry.extension(self)
    File "/usr/lib/python3.5/contextlib.py", line 77, in __exit__
      self.gen.throw(type, value, traceback)
    File "/root/.see-master/lib/python3.5/site-packages/chainer/reporter.py", line 98, in scope
      yield
    File "/root/.see-master/lib/python3.5/site-packages/chainer/training/trainer.py", line 299, in run
      update()
    File "/root/.see-master/lib/python3.5/site-packages/chainer/training/updater.py", line 223, in update
      self.update_core()
    File "/root/.see-master/lib/python3.5/site-packages/chainer/training/updaters/multiprocess_parallel_updater.py", line 195, in update_core
      self.setup_workers()
    File "/root/.see-master/lib/python3.5/site-packages/chainer/training/updaters/multiprocess_parallel_updater.py", line 186, in setup_workers
      with cuda.Device(self._devices[0]):   File "cupy/cuda/device.pyx", line 106, in cupy.cuda.device.Device.__enter__
    File "cupy/cuda/runtime.pyx", line 164, in cupy.cuda.runtime.getDevice
    File "cupy/cuda/runtime.pyx", line 136, in
      cupy.cuda.runtime.check_status Will finalize trainer extensions and updater before reraising the exception.
  Traceback (most recent call last):
    File "chainer/train_svhn.py", line 258, in &lt;module&gt;
      trainer.run()
    File "/root/.see-master/lib/python3.5/site-packages/chainer/training/trainer.py", line 313, in run
      six.reraise(*sys.exc_info())
    File "/usr/lib/python3.5/site-packages/six.py", line 693, in reraise
      raise value
    File "/root/.see-master/lib/python3.5/site-packages/chainer/training/trainer.py", line 302, in run
      entry.extension(self)
    File "/usr/lib/python3.5/contextlib.py", line 77, in __exit__
      self.gen.throw(type, value, traceback)
    File "/root/.see-master/lib/python3.5/site-packages/chainer/reporter.py", line 98, in scope
      yield
    File "/root/.see-master/lib/python3.5/site-packages/chainer/training/trainer.py", line 299, in run
      update()
    File "/root/.see-master/lib/python3.5/site-packages/chainer/training/updater.py", line 223, in update
      self.update_core()
    File "/root/.see-master/lib/python3.5/site-packages/chainer/training/updaters/multiprocess_parallel_updater.py", line 195, in update_core
      self.setup_workers()
    File "/root/.see-master/lib/python3.5/site-packages/chainer/training/updaters/multiprocess_parallel_updater.py", line 186, in setup_workers
      with cuda.Device(self._devices[0]):   File "cupy/cuda/device.pyx", line 106, in cupy.cuda.device.Device.__enter__
    File "cupy/cuda/runtime.pyx", line 164, in cupy.cuda.runtime.getDevice
    File "cupy/cuda/runtime.pyx", line 136, in cupy.cuda.runtime.check_status
      cupy.cuda.runtime.CUDARuntimeError: cudaErrorNoDevice: no CUDA-capable device is detected
  </code></pre>