diff --git a/paddle/gserver/gradientmachines/RecurrentGradientMachine.cpp b/paddle/gserver/gradientmachines/RecurrentGradientMachine.cpp
index 1829f72a87054d9e4ead97962ca1f6738e585787..d00d408ab8d2b1e6951e9fe58981ba85b9077908 100644
--- a/paddle/gserver/gradientmachines/RecurrentGradientMachine.cpp
+++ b/paddle/gserver/gradientmachines/RecurrentGradientMachine.cpp
@@ -1399,8 +1399,8 @@ void RecurrentGradientMachine::createDataOutlinkCopySizeInfo(
              getBeamSize() > 1 ? finalPaths_.size() : finalPaths_[0].size());
     int* starts = inputSeqStartPos->getMutableData(false);
     int seqId = 0;
-    for (int i = 0; i < finalPaths_.size(); ++i) {
-      for (int j = 0; j < finalPaths_[i].size(); ++j) {
+    for (size_t i = 0; i < finalPaths_.size(); ++i) {
+      for (size_t j = 0; j < finalPaths_[i].size(); ++j) {
         copySize[seqId] = getBeamSize() > 1 ? starts[i + 1] - starts[i]
                                             : starts[j + 1] - starts[j];
         batchMachineStartPos_[seqId + 1] =
diff --git a/paddle/operators/net_op_test.cc b/paddle/operators/net_op_test.cc
index 99019754a965e5e7aeb74c6bfc10c9646289651b..f2e98ee7a1e14ee739abba01e97608845ce557f4 100644
--- a/paddle/operators/net_op_test.cc
+++ b/paddle/operators/net_op_test.cc
@@ -79,7 +79,7 @@ TEST(NetOp, Clone) {
   ASSERT_NE(new_net_op, nullptr);
   ASSERT_TRUE(new_net_op->IsNetOp());
   auto* new_net = static_cast<NetOp*>(new_net_op.get());
-  ASSERT_EQ(2, new_net->ops_.size());
+  ASSERT_EQ(2UL, new_net->ops_.size());
   ASSERT_EQ(new_net->ops_[0]->Type(), "empty");
   ASSERT_EQ(new_net->ops_[1]->Type(), "empty2");
 }