title: "Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2" error
body: <p>I install tensorflow gpu on my machine. 
  I install CUDA toolkit 9.0 and cuDNN 7.0 on my machine.</p>
  
  <p>And when I go thru the steps
  from <a href="https://www.tensorflow.org/install/install_windows" rel="nofollow noreferrer">https://www.tensorflow.org/install/install_windows</a> to test my installation.
  By entering the program</p>
  
  <pre><code>&gt;&gt;&gt; import tensorflow as tf
  &gt;&gt;&gt; hello = tf.constant('Hello, TensorFlow!')
  &gt;&gt;&gt; sess = tf.Session()
  </code></pre>
  
  <p>But I get the following error "Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2" error.</p>
  
  <p>Can you please tell me how can I fix it?</p>
  
  <pre><code>&gt;&gt;&gt; sess = tf.Session()
  2018-07-25 23:27:54.477511: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
  2018-07-25 23:27:55.607237: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1392] Found device 0 with properties:
  name: Quadro M2000 major: 5 minor: 2 memoryClockRate(GHz): 1.1625
  pciBusID: 0000:03:00.0
  totalMemory: 4.00GiB freeMemory: 3.34GiB
  2018-07-25 23:27:55.612178: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1471] Adding visible gpu devices: 0
  2018-07-25 23:27:55.977046: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:952] Device interconnect StreamExecutor with strength 1 edge matrix:
  2018-07-25 23:27:55.980238: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:958]      0
  2018-07-25 23:27:55.982308: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:971] 0:   N
  2018-07-25 23:27:55.984488: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3069 MB memory) -&gt; physical GPU (device: 0, name: Quadro M2000, pci bus id: 0000:03:00.0, compute capability: 5.2)
  &gt;&gt;&gt; print(sess.run(hello))
  b'Hello, TensorFlow!'
  &gt;&gt;&gt; print(sess.run(hello))
  b'Hello, TensorFlow!'
  </code></pre>