fix fix_train_without_third_party_vocab

fluid/PaddleRec/word2vec/reader.py

@@ -70,8 +70,8 @@ class Word2VecReader(object):
         self.word_frequencys = [
             float(count) / word_all_count for count in word_counts
         ]
-        print("dict_size = " + str(
-            self.dict_size)) + " word_all_count = " + str(word_all_count)
+        print("dict_size = " + str(self.dict_size) + " word_all_count = " + str(
+            word_all_count))
 
         with io.open(dict_path + "_ptable", 'r', encoding='utf-8') as f2:
             for line in f2:

fluid/PaddleRec/word2vec/train.py

@@ -203,7 +203,7 @@ def train_loop(args, train_program, reader, py_reader, loss, trainer_id):
         time.sleep(10)
         epoch_start = time.time()
         batch_id = 0
-        start = time.clock()
+        start = time.time()
 
         try:
             while True:
@@ -218,8 +218,8 @@ def train_loop(args, train_program, reader, py_reader, loss, trainer_id):
                                loss_val.mean(), py_reader.queue.size()))
                 if args.with_speed:
                     if batch_id % 1000 == 0 and batch_id != 0:
-                        elapsed = (time.clock() - start)
-                        start = time.clock()
+                        elapsed = (time.time() - start)
+                        start = time.time()
                         samples = 1001 * args.batch_size * int(
                             os.getenv("CPU_NUM"))
                         logger.info("Time used: {}, Samples/Sec: {}".format(