fix error

python/paddle/fluid/tests/book/high-level-api/understand_sentiment/test_understand_sentiment_conv.py

@@ -134,7 +134,7 @@ def infer(use_cuda, inference_program, save_dirname=None):
     lod = [[3, 4, 2]]
     base_shape = [1]
     # The range of random integers is [low, high]
-    tensor_words = fluid.create_random_lodtensor(
+    tensor_words = fluid.create_random_int_lodtensor(
         lod, base_shape, place, low=0, high=len(word_dict) - 1)
     results = inferencer.infer({'words': tensor_words})
     print("infer results: ", results)

python/paddle/fluid/tests/book/high-level-api/understand_sentiment/test_understand_sentiment_dynamic_rnn.py

@@ -149,7 +149,7 @@ def infer(use_cuda, inference_program, save_dirname=None):
     lod = [[3, 4, 2]]
     base_shape = [1]
     # The range of random integers is [low, high]
-    tensor_words = fluid.create_random_lodtensor(
+    tensor_words = fluid.create_random_int_lodtensor(
         lod, base_shape, place, low=0, high=len(word_dict) - 1)
     results = inferencer.infer({'words': tensor_words})
     print("infer results: ", results)

python/paddle/fluid/tests/book/high-level-api/understand_sentiment/test_understand_sentiment_stacked_lstm.py

@@ -141,7 +141,7 @@ def infer(use_cuda, inference_program, save_dirname=None):
     lod = [[3, 4, 2]]
     base_shape = [1]
     # The range of random integers is [low, high]
-    tensor_words = fluid.create_random_lodtensor(
+    tensor_words = fluid.create_random_int_lodtensor(
         lod, base_shape, place, low=0, high=len(word_dict) - 1)
     results = inferencer.infer({'words': tensor_words})
     print("infer results: ", results)

python/paddle/fluid/tests/book/notest_understand_sentiment.py

@@ -247,7 +247,7 @@ def infer(word_dict, use_cuda, save_dirname=None):
         lod = [[3, 4, 2]]
         base_shape = [1]
         # The range of random integers is [low, high]
-        tensor_words = fluid.create_random_lodtensor(
+        tensor_words = fluid.create_random_int_lodtensor(
             lod, base_shape, place, low=0, high=word_dict_len - 1)
 
         # Construct feed as a dictionary of {feed_target_name: feed_target_data}