diff --git a/paddleslim/core/graph_wrapper.py b/paddleslim/core/graph_wrapper.py
index 72de894a2e4345c32e7a4eee2f35249b77c2f467..dc01846a10feb8bf212f9e35b9cd585df47ba739 100644
--- a/paddleslim/core/graph_wrapper.py
+++ b/paddleslim/core/graph_wrapper.py
@@ -54,6 +54,9 @@ class VarWrapper(object):
         """
         return self._var.name
 
+    def __repr__(self):
+        return self._var.name
+
     def shape(self):
         """
         Get the shape of the varibale.
@@ -131,6 +134,11 @@ class OpWrapper(object):
         """
         return self._op.type
 
+    def __repr__(self):
+        return "op[id: {}, type: {}; inputs: {}]".format(self.idx(),
+                                                         self.type(),
+                                                         self.all_inputs())
+
     def is_bwd_op(self):
         """
         Whether this operator is backward op.
diff --git a/paddleslim/prune/pruner.py b/paddleslim/prune/pruner.py
index 0fdde525a793b90df63f3245ac5215365dd7ccf4..e2b6a7e1d28078abef97c5fa53b215b098f18cca 100644
--- a/paddleslim/prune/pruner.py
+++ b/paddleslim/prune/pruner.py
@@ -528,33 +528,41 @@ class Pruner():
         Returns: 
             list<VarWrapper>: A list of operators.
         """
+        _logger.debug("######################search: {}######################".
+                      format(op_node))
         visited = [op_node.idx()]
         stack = []
         brothers = []
         for op in graph.next_ops(op_node):
-            if (op.type() != 'conv2d') and (op.type() != 'fc') and (
-                    not op.is_bwd_op()):
+            if ("conv2d" not in op.type()) and (op.type() != 'fc') and (
+                    not op.is_bwd_op()) and (not op.is_opt_op()):
                 stack.append(op)
                 visited.append(op.idx())
         while len(stack) > 0:
             top_op = stack.pop()
-            if top_op.type().startswith("elementwise_"):
-                for parent in graph.pre_ops(top_op):
-                    if parent.idx() not in visited and (
-                            not parent.is_bwd_op()):
-                        if ((parent.type() == 'conv2d') or
-                            (parent.type() == 'fc')):
-                            brothers.append(parent)
-                        else:
-                            stack.append(parent)
-                        visited.append(parent.idx())
+            for parent in graph.pre_ops(top_op):
+                if parent.idx() not in visited and (
+                        not parent.is_bwd_op()) and (not parent.is_opt_op()):
+                    _logger.debug("----------go back from {} to {}----------".
+                                  format(top_op, parent))
+                    if (('conv2d' in parent.type()) or
+                        (parent.type() == 'fc')):
+                        brothers.append(parent)
+                    else:
+                        stack.append(parent)
+                    visited.append(parent.idx())
 
             for child in graph.next_ops(top_op):
-                if (child.type() != 'conv2d') and (child.type() != 'fc') and (
+                if ('conv2d' not in child.type()
+                    ) and (child.type() != 'fc') and (
                         child.idx() not in visited) and (
-                            not child.is_bwd_op()):
+                            not child.is_bwd_op()) and (not child.is_opt_op()):
                     stack.append(child)
                     visited.append(child.idx())
+        _logger.debug("brothers: {}".format(brothers))
+        _logger.debug(
+            "######################Finish search######################".format(
+                op_node))
         return brothers
 
     def _cal_pruned_idx(self, name, param, ratio, axis):
diff --git a/tests/test_prune.py b/tests/test_prune.py
index 93609367351618ce375f164a1dca284e85369e4c..3fdaa867e350af876648871f83fe70cc83b548b6 100644
--- a/tests/test_prune.py
+++ b/tests/test_prune.py
@@ -15,7 +15,7 @@ import sys
 sys.path.append("../")
 import unittest
 import paddle.fluid as fluid
-from prune import Pruner
+from paddleslim.prune import Pruner
 from layers import conv_bn_layer