Update ptb_word_lm.py

bug fix for contrib.deprecated eliminatation in tf version 12.

tutorials/rnn/ptb/ptb_word_lm.py

@@ -331,14 +331,14 @@ def main(_):
       train_input = PTBInput(config=config, data=train_data, name="TrainInput")
       with tf.variable_scope("Model", reuse=None, initializer=initializer):
         m = PTBModel(is_training=True, config=config, input_=train_input)
-      tf.contrib.deprecated.scalar_summary("Training Loss", m.cost)
-      tf.contrib.deprecated.scalar_summary("Learning Rate", m.lr)
+      tf.scalar_summary("Training Loss", m.cost)
+      tf.scalar_summary("Learning Rate", m.lr)
 
     with tf.name_scope("Valid"):
       valid_input = PTBInput(config=config, data=valid_data, name="ValidInput")
       with tf.variable_scope("Model", reuse=True, initializer=initializer):
         mvalid = PTBModel(is_training=False, config=config, input_=valid_input)
-      tf.contrib.deprecated.scalar_summary("Validation Loss", mvalid.cost)
+      tf.scalar_summary("Validation Loss", mvalid.cost)
 
     with tf.name_scope("Test"):
       test_input = PTBInput(config=eval_config, data=test_data, name="TestInput")