title: The TensorFlow library wasn't compiled to use SSE3, SSE4.1, SSE4.2, AVX on Google Cloud Platform Console
body: <p>I have a TensorFlow model to test a wide-n-deep neural network, but I can't get it to run on my windows machine because of a bug in the TensorFlow Library.  Now I'm having to resort to Google Cloud Platform.  I got everything set up where my python file processes input, but when I run the code through the console, I get the following messages:</p>
  
  <pre><code>$ python -m widendeep.py -h
  W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
  W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
  W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
  W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
  </code></pre>
  
  <p>These messages don't show when run on Windows. Is this because I can't run this through the cloud this way? Do I have to use <em>gcloud ml-engine local train</em> or <em>gcloud ml-engine jobs submit training my_job</em>?   Any guidance on the proper way to do this would be great.</p>