title: Tensorflow instalation on Windows 10 Intel Core i3 Processor with nVIDIA GEFORCE 920M GPU
body: <p>I am trying to install using the instructions <a href="http://www.netinstructions.com/how-to-install-and-run-gpu-enabled-tensorflow-on-windows/" rel="nofollow noreferrer">here</a></p>
  
  <p>I have a compatible nVIDIA GEFORCE 920M GPU and the CRUD DNN toolkit and the driver both installed on the System.
  when I do the step on the python program to test tensorflow installation on GPU:</p>
  
  <pre><code>import tensorflow as tf
  sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
  </code></pre>
  
  <p>The output I get is:</p>
  
  <pre><code>&gt;&gt;&gt; sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
  2017-05-28 09:38:01.349304: W c:\tf_jenkins\home\workspace\release-   
  win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] 
  The TensorFlow library wasn't compiled to use SSE instructions, but these 
  are available on your machine and could speed up CPU computations.
  
  
  2017-05-28 09:38:01.349459: W c:\tf_jenkins\home\workspace\release- 
  win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] 
  The TensorFlow library wasn't compiled to use SSE2 instructions, but these 
  are available on your machine and could speed up CPU computations.
  
  2017-05-28 09:38:01.349583: W c:\tf_jenkins\home\workspace\release-
  win\device\cpu\os\windows\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.
  
  2017-05-28 09:38:01.349705: W c:\tf_jenkins\home\workspace\release-
  win\device\cpu\os\windows\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.
  
  2017-05-28 09:38:01.354312: I c:\tf_jenkins\home\workspace\release-
  win\device\cpu\os\windows\tensorflow\core\common_runtime\direct_session.cc:257] Device mapping:
  </code></pre>
  
  <p>My pin pointed questions to you are:</p>
  
  <ol>
  <li><p>Why is the nVIDIA GPU not getting detected when all librariries and toolkits are installed without errors?</p></li>
  <li><p>Why is it the output saying "TensorFlow library wasn't compiled to use SSE4.1 instructions, but these 
  are available on your machine and could speed up CPU computations" and how do i rectify this?</p></li>
  <li><p>Please give a step by step solution. None other. </p></li>
  </ol>
  
  <p>Thanks in advance for your answers.</p>