title: tensorflow (not tensorflow-gpu): failed call to cuInit: UNKNOWN ERROR (303)
body: <p><strong>My Test</strong></p>
  
  <pre><code>import tensorflow as tf
  hello = tf.constant('Hello, TensorFlow!')
  sess = tf.Session()
  </code></pre>
  
  <p><strong>My Error</strong></p>
  
  <pre><code>2019-12-27 10:51:17.887009: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/openmpi/lib:
  2019-12-27 10:51:17.888489: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
  2019-12-27 10:51:17.888992: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (3e7d899714a9): /proc/driver/nvidia/version does not exist
  2019-12-27 10:51:17.890608: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  2019-12-27 10:51:17.915554: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2904000000 Hz
  2019-12-27 10:51:17.918061: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x56101fca67e0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
  2019-12-27 10:51:17.918228: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
  </code></pre>
  
  <p><strong>My Environment</strong></p>
  
  <p>Ubunutu 18</p>
  
  <p>tensorflow                     1.15.0/1.14.0</p>
  
  <p><strong>My Question</strong></p>
  
  <p>I have reviewed similar issues for example <a href="https://stackoverflow.com/questions/48658204/tensorflow-failed-call-to-cuinit-cuda-error-no-device">TensorFlow : failed call to cuInit: CUDA_ERROR_NO_DEVICE</a></p>
  
  <p>The key difference is I do not have the <code>tensorflow-gpu</code> package installed.  How can this error be raised by normal TensorFlow?</p>