title: how to convert string Tensor to Tensor float list?
body: <p>So, my code is like</p>
  
  <pre><code>    parsed_line = tf.decode_csv(line, [[0], [0], [""]])
      print(parsed_line[0])
      del parsed_line[0]
      del parsed_line[0]
      features = parsed_line
      print(parsed_line[0])
  </code></pre>
  
  <p>then the result is</p>
  
  <pre><code>    [&lt;tf.Tensor 'DecodeCSV:0' shape=() dtype=int32&gt;, &lt;tf.Tensor 'DecodeCSV:1' shape=() dtype=int32&gt;, &lt;tf.Tensor 'DecodeCSV:2' shape=() dtype=string&gt;]
  </code></pre>
  
  <p>and</p>
  
  <pre><code>    [&lt;Tensor("DecodeCSV:2", shape=(), dtype=string)&gt;]
  </code></pre>
  
  <p>the csv i will give to this decode function is</p>
  
  <pre><code>    1, 0, 0101010010101010101010
  </code></pre>
  
  <p>and I want this "0101010010101010101010" to</p>
  
  <pre><code>    [0,1,0,1,0,.........] 
  </code></pre>
  
  <p>in tensorflow</p>
  
  <pre><code>    [&lt;Tensor("DecodeCSV:2", shape=(), dtype=string)&gt;]
  </code></pre>
  
  <p>to</p>
  
  <pre><code>    [&lt;tf.Tensor 'DecodeCSV:0' shape=() dtype=int32&gt;, &lt;tf.Tensor 'DecodeCSV:1' shape=() dtype=int32&gt;, ............]
  </code></pre>
  
  <p>do you have any ideas of this?</p>