code: def _create_initstate_and_embeddings(self):
          
          self._init_state = self.cell.zero_state(self.batch_size, tf.float32)
          embedding = tf.get_variable(
              "embedding", [self.vocab_size, self.num_hidden])
          inputs = tf.nn.embedding_lookup(embedding, self.input_data)
          self.inputs = tf.nn.dropout(inputs, self.dropout)
docs: Create the initial state for the cell and the data embeddings.