title: How to do slice assignment in Tensorflow
body: <p>I found that Tensorflow provides <code>scatter_update()</code> to assign values to the slice of a tensor in the 0 dimension. For example, if the tensor <code>T</code> is three dimensional, I can assign value <code>v[1, :, :]</code> to <code>T[i, :, :]</code>. </p>
  
  <pre><code>a = tf.Variable(tf.zeros([10,36,36]))   
  value = np.ones([1,36,36])   
  d = tf.scatter_update(a,[0],value)
  
  with tf.Session() as sess:
      sess.run(tf.initialize_all_variables())
      print a.eval()
      sess.run(d)
      print a.eval()
  </code></pre>
  
  <p>But how to assign values <code>v[1,1,:]</code> to <code>T[i,j,:]</code>?  </p>
  
  <pre><code>a = tf.Variable(tf.zeros([10,36,36]))   
  value1 = np.random.randn(1,1,36)    
  e = tf.scatter_update(a,[0],value1) #Error
  
  with tf.Session() as sess:
      sess.run(tf.initialize_all_variables())
      print a.eval()
      sess.rum(e)
      print a.eval()
  </code></pre>
  
  <p>Is there any other function that TF provide or a simple way to do this?</p>