fix variable scope error for Stack LSTM

Author: cxxgtxy

09_Recurrent_Neural_Networks/04_Stacking_Multiple_LSTM_Layers/04_stacking_multiple_lstm.py

@@ -197,14 +197,15 @@ def sample(self, sess, words=ix2vocab, vocab=vocab2ix, num=20, prime_text='thou
             out_sentence = out_sentence + char
         return(out_sentence)
 
-with tf.variable_scope('lstm_model') as scope:
-    # Define LSTM Model
-    lstm_model = LSTM_Model(rnn_size, num_layers, batch_size, learning_rate,
-                            training_seq_len, vocab_size)
-    scope.reuse_variables()
-    test_lstm_model = LSTM_Model(rnn_size, num_layers, batch_size, learning_rate,
-                                 training_seq_len, vocab_size, infer_sample=True)
 
+# Define LSTM Model
+lstm_model = LSTM_Model(rnn_size, num_layers, batch_size, learning_rate,
+                        training_seq_len, vocab_size)
+
+# Tell TensorFlow we are reusing the scope for the testing
+with tf.variable_scope(tf.get_variable_scope(), reuse=True):
+    test_lstm_model = LSTM_Model(rnn_size,num_layers, batch_size, learning_rate,
+                                 training_seq_len, vocab_size, infer_sample=True)
 
 # Create model saver
 saver = tf.train.Saver(tf.global_variables())