title: Anaconda environment for CPU and GPU versions of TensorFlow
body: <p>I want to create two separate environments with TensorFlow in anaconda, one with CPU only support, which is compiled from sources, and one with GPU support using official Tensorflow binaries.</p>
  
  <p>I have set up two environments with conda, using <code>conda create -n gpu --clone root</code>. I activate my new environment using <code>source activate gpu</code>. However, whenever I install a TensorFlow version using pip, the old environment is affected as well.</p>
  
  <p>What am I doing wrong?</p>