title: initialising Seq2seq embedding with pretrained word2vec
body: <p>I am interested in initialising tensorflow seq2seq implementation with pretrained word2vec.</p>
  
  <p>I have seen the code. It seems embedding is initialized</p>
  
  <pre><code>with tf.variable_scope(scope or "embedding_attention_decoder"):
  with tf.device("/cpu:0"):
  embedding = tf.get_variable("embedding", [num_symbols, cell.input_size])
  </code></pre>
  
  <p>how do I change this to initialise with pretrained word2vec??</p>