diff --git a/paddle/fluid/inference/tensorrt/convert/concat_op.cc b/paddle/fluid/inference/tensorrt/convert/concat_op.cc
index 2983e91cb2f209c2b086b5422cb1c90f3dfe9940..a11dfa1e8f2dacfad067d025678911200db500fb 100644
--- a/paddle/fluid/inference/tensorrt/convert/concat_op.cc
+++ b/paddle/fluid/inference/tensorrt/convert/concat_op.cc
@@ -30,9 +30,7 @@ class ConcatOpConverter : public OpConverter {
     framework::OpDesc op_desc(op, nullptr);
     // Declare inputs
     std::vector<nvinfer1::ITensor*> itensors;
-    std::cout << "Concat op: " << std::endl;
     for (auto& input_name : op_desc.Input("X")) {
-      std::cout << input_name << std::endl;
       itensors.push_back(engine_->GetITensor(input_name));
     }
     int axis = boost::get<int>(op_desc.GetAttr("axis"));
diff --git a/paddle/fluid/inference/tensorrt/convert/conv2d_op.cc b/paddle/fluid/inference/tensorrt/convert/conv2d_op.cc
index 022e43a571edea1ccaaefbdbaffcfc3f4b23c3a0..0a37d3968c39d2c244bbd82161afddf6330e421d 100644
--- a/paddle/fluid/inference/tensorrt/convert/conv2d_op.cc
+++ b/paddle/fluid/inference/tensorrt/convert/conv2d_op.cc
@@ -26,9 +26,6 @@ class Conv2dOpConverter : public OpConverter {
         << "convert a fluid conv2d op to tensorrt conv layer without bias";
 
     framework::OpDesc op_desc(op, nullptr);
-    std::cout << "Conv op: " << std::endl;
-    std::cout << op_desc.Input("Input").front() << std::endl;
-    std::cout << op_desc.Output("Output").front() << std::endl;
     PADDLE_ENFORCE_EQ(op_desc.Input("Input").size(), 1);
     PADDLE_ENFORCE_EQ(op_desc.Input("Filter").size(), 1);  // Y is a weight
     PADDLE_ENFORCE_EQ(op_desc.Output("Output").size(), 1);