diff --git a/python/paddle/fluid/tests/unittests/CMakeLists.txt b/python/paddle/fluid/tests/unittests/CMakeLists.txt
index a25cba029dd8bac81d6b00c1d9fb710f421ce9d0..cdd94a1fa031471e97ee37a5da50ae6a51a9316c 100644
--- a/python/paddle/fluid/tests/unittests/CMakeLists.txt
+++ b/python/paddle/fluid/tests/unittests/CMakeLists.txt
@@ -57,6 +57,7 @@ if(NOT WITH_GPU OR WIN32)
     LIST(REMOVE_ITEM TEST_OPS test_allreduce)
     LIST(REMOVE_ITEM TEST_OPS test_broadcast)
     LIST(REMOVE_ITEM TEST_OPS test_collective_reduce)
+    LIST(REMOVE_ITEM TEST_OPS test_collective_sendrecv)
     LIST(REMOVE_ITEM TEST_OPS test_collective_scatter)
     LIST(REMOVE_ITEM TEST_OPS test_collective_reduce_api)
     LIST(REMOVE_ITEM TEST_OPS test_collective_scatter_api)
diff --git a/python/paddle/fluid/tests/unittests/collective_sendrecv_op.py b/python/paddle/fluid/tests/unittests/collective_sendrecv_op.py
new file mode 100644
index 0000000000000000000000000000000000000000..822bd3c4293d7d483f8c98890acf7f507723d6e5
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/collective_sendrecv_op.py
@@ -0,0 +1,69 @@
+# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import print_function
+
+import numpy as np
+import argparse
+import os
+import sys
+import signal
+import time
+import socket
+from contextlib import closing
+from six import string_types
+import math
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.profiler as profiler
+import paddle.fluid.unique_name as nameGen
+from paddle.fluid import core
+import unittest
+from multiprocessing import Process
+import paddle.fluid.layers as layers
+from functools import reduce
+from test_collective_base import TestCollectiveRunnerBase, runtime_main
+
+
+class TestCollectiveScatter(TestCollectiveRunnerBase):
+    def __init__(self):
+        self.global_ring_id = 0
+
+    def get_model(self, main_prog, startup_program, rank=None):
+        ring_id = 0
+        with fluid.program_guard(main_prog, startup_program):
+            tindata = layers.data(
+                name="tindata", shape=[10, 1000], dtype='float32')
+            if rank == 0:
+                main_prog.global_block().append_op(
+                    type="c_recv",
+                    inputs={'Out': tindata},
+                    attrs={'ring_id': ring_id,
+                           'peer': 1})
+            else:
+                main_prog.global_block().append_op(
+                    type="c_send",
+                    inputs={'X': tindata},
+                    attrs={'ring_id': ring_id,
+                           'peer': 0})
+            main_prog.global_block().append_op(
+                type="c_sync_comm_stream",
+                inputs={'X': toutdata},
+                outputs={'Out': toutdata},
+                attrs={'ring_id': ring_id})
+            return tindata
+
+
+if __name__ == "__main__":
+    runtime_main(TestCollectiveScatter, "scatter", 0)
diff --git a/python/paddle/fluid/tests/unittests/test_collective_base.py b/python/paddle/fluid/tests/unittests/test_collective_base.py
index 512b2967e02fd01e67f416c2fd9222ae8589d8d8..e97be6b7a557ee17fd48837f81a658edc70f0555 100644
--- a/python/paddle/fluid/tests/unittests/test_collective_base.py
+++ b/python/paddle/fluid/tests/unittests/test_collective_base.py
@@ -103,7 +103,7 @@ class TestCollectiveRunnerBase(object):
         nranks = 2
         self.initCommunicator(startup_prog, rank, nranks, True,
                               current_endpoint, endpoints)
-        result = self.get_model(train_prog, startup_prog)
+        result = self.get_model(train_prog, startup_prog, rank)
         device_id = int(os.getenv("FLAGS_selected_gpus", "0"))
         place = fluid.CUDAPlace(
             device_id)  #if args.use_gpu else fluid.CPUPlace()
@@ -258,6 +258,9 @@ class TestDistBase(unittest.TestCase):
             self.assertTrue(
                 np.allclose(
                     tr1_out, need_result, rtol=1e-05, atol=1e-05))
+        elif col_type == "sendrecv":
+            need_result = input2
+            self.assertTrue(np.allclose(tr0_out, need_result))
         elif col_type == "reduce_scatter":
             tmp = input1 + input2
             need_result1 = tmp[0:tmp.shape[0] // 2]
diff --git a/python/paddle/fluid/tests/unittests/test_collective_sendrecv.py b/python/paddle/fluid/tests/unittests/test_collective_sendrecv.py
new file mode 100644
index 0000000000000000000000000000000000000000..ed6596faa494ecd929765fbff0ecfa1f53313fd0
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/test_collective_sendrecv.py
@@ -0,0 +1,31 @@
+#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import print_function
+import unittest
+import numpy as np
+
+from test_collective_base import TestDistBase
+
+
+class TestCScatterOp(TestDistBase):
+    def _setup_config(self):
+        pass
+
+    def test_sendrecv(self):
+        self.check_with_place("collective_sendrecv_op.py", "sendrecv")
+
+
+if __name__ == '__main__':
+    unittest.main()