diff --git a/paddle/pybind/pybind.cc b/paddle/pybind/pybind.cc
index 4baff895daa1f26fe3f344372f2686fbcbb82098..2a0075356ed1e0f0b3501ac681c5e3a1bf37e2ca 100644
--- a/paddle/pybind/pybind.cc
+++ b/paddle/pybind/pybind.cc
@@ -15,6 +15,7 @@ limitations under the License. */
 #include "paddle/pybind/protobuf.h"
 
 #include <mutex>  // for call_once
+#include <unordered_map>
 #include "gflags/gflags.h"
 #include "paddle/framework/backward.h"
 #include "paddle/framework/executor.h"
@@ -42,9 +43,9 @@ limitations under the License. */
 
 namespace paddle {
 namespace pybind {
-static size_t UniqueIntegerGenerator() {
-  static std::atomic<size_t> generator;
-  return generator.fetch_add(1);
+static size_t UniqueIntegerGenerator(const std::string &prefix) {
+  static std::unordered_map<std::string, std::atomic<size_t>> generators;
+  return generators[prefix].fetch_add(1);
 }
 
 std::once_flag gflags_init_flag;
diff --git a/python/paddle/v2/framework/framework.py b/python/paddle/v2/framework/framework.py
index 43101c9ddad76b7c1c322130dc0362a5c8ea4336..f8d2f67410a6c06a1642180d2d62c881ec6bda3d 100644
--- a/python/paddle/v2/framework/framework.py
+++ b/python/paddle/v2/framework/framework.py
@@ -119,8 +119,9 @@ class Variable(object):
 
     @staticmethod
     def _unique_var_name_():
-        uid = core.unique_integer()  # unique during whole process.
-        return "_generated_var_%d" % uid
+        prefix = "_generated_var"
+        uid = core.unique_integer(prefix)  # unique during whole process.
+        return "_".join([prefix, str(uid)])
 
     @staticmethod
     def _convert_np_dtype_to_dtype_(np_dtype):
diff --git a/python/paddle/v2/framework/layer_helper.py b/python/paddle/v2/framework/layer_helper.py
index 1f72c9bc7b0ceda1dd954703fcc10c77a3e5ed25..d96dbe172c22617182e7ebf4aab175c6142352b7 100644
--- a/python/paddle/v2/framework/layer_helper.py
+++ b/python/paddle/v2/framework/layer_helper.py
@@ -8,7 +8,7 @@ from paddle.v2.framework.framework import Variable, g_program, \
 
 
 def unique_name(prefix):
-    uid = core.unique_integer()  # unique during whole process.
+    uid = core.unique_integer(prefix)  # unique during whole process.
     return "_".join([prefix, str(uid)])
 
 
diff --git a/python/paddle/v2/framework/tests/test_image_classification_layer.py b/python/paddle/v2/framework/tests/test_image_classification_layer.py
index 7411689b615aeaa900fecb8c5ae00cf92203289c..b4eda13552e60f009ec910e3d21e9d77107133a1 100644
--- a/python/paddle/v2/framework/tests/test_image_classification_layer.py
+++ b/python/paddle/v2/framework/tests/test_image_classification_layer.py
@@ -37,7 +37,7 @@ class TestLayer(unittest.TestCase):
         layers.batch_norm(
             input=images, program=program, init_program=init_program)
 
-        #print str(program)
+        # print str(program)
 
     def test_dropout_layer(self):
         program = Program()
@@ -53,7 +53,7 @@ class TestLayer(unittest.TestCase):
             program=program,
             init_program=init_program)
 
-        #print str(program)
+        # print str(program)
 
     def test_img_conv_group(self):
         program = Program()