diff --git a/python/paddle/v2/dataset/wmt16.py b/python/paddle/v2/dataset/wmt16.py
index e2f463be2f7bcd667855f64206d78f387e92ef33..c8818f715beadd9499ae588f2c19a57fbf26f372 100644
--- a/python/paddle/v2/dataset/wmt16.py
+++ b/python/paddle/v2/dataset/wmt16.py
@@ -305,9 +305,9 @@ def get_dict(lang, dict_size, reverse=False):
 
     dict_path = os.path.join(paddle.v2.dataset.common.DATA_HOME,
                              "wmt16/%s_%d.dict" % (lang, dict_size))
-    assert (os.path.exists(dict_path), "Word dictionary does not exist. "
-            "Please invoke paddle.dataset.wmt16.train/test/validation "
-            "first to build the dictionary.")
+    assert os.path.exists(dict_path), "Word dictionary does not exist. "
+    "Please invoke paddle.dataset.wmt16.train/test/validation first "
+    "to build the dictionary."
     tar_file = os.path.join(paddle.v2.dataset.common.DATA_HOME, "wmt16.tar.gz")
     return __load_dict(tar_file, dict_size, lang, reverse)
 
diff --git a/python/paddle/v2/fluid/nets.py b/python/paddle/v2/fluid/nets.py
index dfae9c9391a930d9833496669a383e45a3090399..79a28e23e3b30ef668300db1f609a42779dcd7f6 100644
--- a/python/paddle/v2/fluid/nets.py
+++ b/python/paddle/v2/fluid/nets.py
@@ -248,7 +248,8 @@ def scaled_dot_product_attention(queries,
         reshaped = layers.reshape(
             x=x,
             shape=list(x.shape[:-1]) + [num_heads, hidden_size // num_heads])
-        # permuate the original dimensions into:
+
+        # permuate the dimensions into:
         # [batch_size, num_heads, max_sequence_len, hidden_size_per_head]
         return layers.transpose(x=reshaped, perm=[0, 2, 1, 3])