title: Convert TensorFlow string to python string
body: <p>I am aware that in TensorFlow, a tf.string tensor is basically a byte string. I need to do some operation with a filename which is stored in a queue using <a href="https://www.tensorflow.org/api_docs/python/tf/train/string_input_producer" rel="noreferrer">tf.train.string_input_producer()</a>.</p>
  
  <p>A small snippet is shown below :</p>
  
  <pre><code> key, value = reader.read(filename_queue)
   filename = value.eval(session=sess)
   print(filename)
  </code></pre>
  
  <p>However as a byte string it gives an output like the following :</p>
  
  <pre><code>b'\xff\xd8\xff\xe0\x00\x10JFIF\x00\x01\x01\x00\x00\x01\x00\x01\x00\x00\xff\xdb\x00C\x00\x08\x06\x06\x07\x06\x05\x08\x07\x07\x07\t\t\x08'
  </code></pre>
  
  <p>I tried to convert using </p>
  
  <pre><code>filename = tf.decode_raw(filename, tf.uint8)
  filename = ''.join(chr(i) for i in filename)
  </code></pre>
  
  <p>However Tensor objects are not iterable and hence this fails.</p>
  
  <p>Where am I going wrong ?</p>
  
  <p>Is it a missing feature in TensorFlow that tf.string be converted to a Python string easily , or is there some other feature I am not aware about ?</p>
  
  <p><strong>More Info</strong></p>
  
  <p>The filename_queue has been prepared as follows :</p>
  
  <pre><code>train_set = ['file1.jpg', 'file2.jpg'] # Truncated for illustration
  filename_queue = tf.train.string_input_producer(train_set, num_epochs=10, seed=0, capacity=1000)                  
  </code></pre>