title: Unclear Tensorflow output
body: <p>I am hosting the Docker container &quot;tensorflow-notebook&quot; on Docker Desktop (Windows). I am able to access a hosted Jupyter notebook; this notebook is served from the local file system via the Docker container. This seems to work, however when executing Python code, I get the following output.</p>
  <pre><code>2021-12-08 14:28:17.634463: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
  2021-12-08 14:28:17.634546: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
  2021-12-08 14:28:17.634586: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (e8db5f2e3e3d): /proc/driver/nvidia/version does not exist
  2021-12-08 14:28:17.637122: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE4.1 SSE4.2 AVX AVX2 FMA
  To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
  </code></pre>
  <p>As I am relatively new to Docker, Python, Tensorflow and Jupyter notebooks, I am not sure how to tacke this. Is this even a real error or just some information that Tersorflow is running without GPU support? What can I do to solve this? Any help appreciated.</p>