diff --git a/python/paddle/v2/fluid/tests/CMakeLists.txt b/python/paddle/v2/fluid/tests/CMakeLists.txt
index e795627bfe9e8ad0c196349a332e62e975f20aa3..9a0240cbf65c7a79e29babc2abcb157ada684c5e 100644
--- a/python/paddle/v2/fluid/tests/CMakeLists.txt
+++ b/python/paddle/v2/fluid/tests/CMakeLists.txt
@@ -5,3 +5,4 @@ foreach(src ${TEST_OPS})
 endforeach()
 
 add_subdirectory(book)
+add_subdirectory(book_distribute)
diff --git a/python/paddle/v2/fluid/tests/book_distribute/test_split_var.py b/python/paddle/v2/fluid/tests/book_distribute/test_split_var.py
index 1355e13e1c11ff9cdd130ed579408d8c5416c9d9..cfb48a59154527160f622c12ae429bac31483631 100644
--- a/python/paddle/v2/fluid/tests/book_distribute/test_split_var.py
+++ b/python/paddle/v2/fluid/tests/book_distribute/test_split_var.py
@@ -2,6 +2,7 @@ import math
 import unittest
 from paddle.v2.fluid.distribute_transpiler import split_dense_variable
 import paddle.v2.fluid as fluid
+import paddle.v2.fluid.core as core
 import random
 
 
@@ -19,9 +20,9 @@ class TestSplitVar(unittest.TestCase):
         program = fluid.Program()
         for shape in shapes:
             var = program.global_block().create_var(
-                name=str(random.randint(10000)),
+                name=str(random.randint(10000, 99999)),
                 persistable=True,
-                dtype=core.VarDesc.VarType.LOD_TENSOR,
+                # dtype=core.VarDesc.VarType.LOD_TENSOR,
                 shape=shape)
             var_list.append(var)
         blocks = split_dense_variable(var_list, 10)