diff --git a/python/paddle/v2/fluid/framework.py b/python/paddle/v2/fluid/framework.py
index dfd7e8047c1138dfa521866a85ae2fb8d971b63c..2cf462b2f987ea03f9aa2309d250d6deb411eb7d 100644
--- a/python/paddle/v2/fluid/framework.py
+++ b/python/paddle/v2/fluid/framework.py
@@ -67,24 +67,24 @@ def convert_np_dtype_to_dtype_(np_dtype):
     Args:
         np_dtype(np.dtype): the data type in numpy
 
-    Returns(core.DataType): the data type in Paddle
+    Returns(core.VarType): the data type in Paddle
 
     """
     dtype = np.dtype(np_dtype)
     if dtype == np.float32:
-        return core.DataType.FP32
+        return core.VarType.FP32
     elif dtype == np.float64:
-        return core.DataType.FP64
+        return core.VarType.FP64
     elif dtype == np.float16:
-        return core.DataType.FP16
+        return core.VarType.FP16
     elif dtype == np.int32:
-        return core.DataType.INT32
+        return core.VarType.INT32
     elif dtype == np.int16:
-        return core.DataType.INT16
+        return core.VarType.INT16
     elif dtype == np.int64:
-        return core.DataType.INT64
+        return core.VarType.INT64
     elif dtype == np.bool:
-        return core.DataType.BOOL
+        return core.VarType.BOOL
     else:
         raise ValueError("Not supported numpy dtype " + str(dtype))
 
@@ -99,10 +99,10 @@ def dtype_is_floating(dtype):
     Returns(bool): True if data type is a float value
 
     """
-    if not isinstance(dtype, core.DataType):
+    if not isinstance(dtype, core.VarType):
         dtype = convert_np_dtype_to_dtype_(dtype)
 
-    return dtype in [core.DataType.FP16, core.DataType.FP32, core.DataType.FP64]
+    return dtype in [core.VarType.FP16, core.VarType.FP32, core.VarType.FP64]
 
 
 def _debug_string_(proto, throw_on_error=True):
@@ -200,7 +200,7 @@ class Variable(object):
                         "shape is {1}; the new shape is {2}. They are not "
                         "matched.".format(self.name, old_shape, shape))
         if dtype is not None:
-            if not isinstance(dtype, core.DataType):
+            if not isinstance(dtype, core.VarType):
                 dtype = convert_np_dtype_to_dtype_(dtype)
             if is_new_var:
                 self.desc.set_dtype(dtype)