title: Is there a version of TensorFlow not compiled for AVX instructions?
body: <p>I'm trying to get TensorFlow up on my Chromebook, not the best place, I know, but I just want to get a feel for it. I haven't done much work in the Python dev environment, or in any dev environment for that matter, so bear with me.
  After figuring out pip, I installed TensorFlow and tried to import it, receiving this error:</p>
  
  <pre><code>Python 3.5.2 (default, Nov 23 2017, 16:37:01) 
  [GCC 5.4.0 20160609] on linux
  Type "help", "copyright", "credits" or "license" for more information.
  &gt;&gt;&gt; import tensorflow as tf
  2018-12-11 06:09:54.960546: F tensorflow/core/platform/cpu_feature_guard.cc:37] The TensorFlow library was compiled to use AVX instructions, but these aren't available on your machine.
  Aborted (core dumped)
  </code></pre>
  
  <p>After some research, I have discovered that my processor (an Intel Celeron N2840 (Bay Trail-M Architecture)) does not support AVX instructions, so I was wondering if there was a way to use a version compiled for some other instruction set. Cog tells me I can use MMX and various SSEs (whatever the hell that means).</p>
  
  <p>P.S. This is sort of a duplicate of <a href="https://stackoverflow.com/questions/53590486/tensorflow-error-using-avx-instructions-on-linux-while-working-on-windows-on-the">TensorFlow error using AVX instructions on Linux while working on Windows on the same machine</a> but not entirely. Plus I can't comment because I don't have 50 reputation.</p>
  
  <p>P.P.S. I looked at <a href="https://stackoverflow.com/questions/41293077/how-to-compile-tensorflow-with-sse4-2-and-avx-instructions?rq=1">How to compile Tensorflow with SSE4.2 and AVX instructions?</a> and got scared</p>