title: Making a list and appending to it in TensorFlow
body: <p>I am new to TensorFlow. I'm not able to understand how to create a dynamic "pythonic" list in TensorFlow. Basically, I perform some computation on a tensor object (<code>train_data[i]</code>) and append it to a "list" <code>X</code>, which I want to be a tensor with shape <code>(100,)</code></p>
  
  <p>I want to do something like this:</p>
  
  <pre><code>X = []
  for i in range(100):
      q = tf.log(train_data[i]) 
      print(q)    #Tensor("Log:0", shape=(), dtype=float32) 
      X.append(q)
  </code></pre>
  
  <p>I want <code>X</code> to be a Tensor with shape <code>(100,)</code>, basically a column vector which is a tensor object. If I run the code above, I instead get a python list of TensorObjects.</p>